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	<id>https://adapt2.sis.pitt.edu/w/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Jahn</id>
	<title>PAWS Lab - User contributions [en]</title>
	<link rel="self" type="application/atom+xml" href="https://adapt2.sis.pitt.edu/w/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Jahn"/>
	<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/wiki/Special:Contributions/Jahn"/>
	<updated>2026-05-18T17:33:56Z</updated>
	<subtitle>User contributions</subtitle>
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	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=4067</id>
		<title>User:Jahn</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=4067"/>
		<updated>2020-06-12T18:47:25Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Jae-wook Ahn ==&lt;br /&gt;
&lt;br /&gt;
Ph.D., PAWS Alumni&lt;br /&gt;
&lt;br /&gt;
[[Image:Jaewook-1.jpg|thumb|left]]&lt;br /&gt;
&lt;br /&gt;
[http://researcher.ibm.com/researcher/view.php?person=us-jaewook.ahn Jae-wook] is a [http://researcher.ibm.com/researcher/view.php?person=us-jaewook.ahn research staff member] at the Department of Distributed AI, [http://www.research.ibm.com/ IBM Research].  He has participated in various projects at the Department of Cognitive Science and Education and IBM Watson Life Group such as Project Cardinal, Sesame Workshop, and [https://www.ibmchefwatson.com Chef Watson].  He is specialized in information visualization, human-computer interaction, personalized search, and recommender systems.  Before joining IBM, he was a member of the School of Information Sciences PAWS (Personalized Adaptive Web Systems) Lab and received his Ph.D. while publishing a number of papers with his advisor Professor Peter Brusilovsky at premier conferences and journals such as World Wide Web 2007/2008, UMAP (User Modeling, Adaptation, and Personalization) 2010, Intelligent User Interfaces (IUI) 2015, Web Intelligence (WI) and IP&amp;amp;M (Information Processing and Management).&lt;br /&gt;
&lt;br /&gt;
After graduation, he was selected as a prestigious NSF-CRA Computing Innovation Fellow (http://cifellows.org) in 2010 and worked with Professor Ben Shneiderman at the University of Maryland Human-Computer Interaction Lab.  The fellowship supported outstanding new computer or information science Ph.D.'s on their post-doctoral research.  His work on network evolution visualization was published at conferences and a journal.  In particular his IEEE TVCG (Transactions on Visualization and Computer Graphics) article was selected as the Highlight of the Month by the journal editors and was invited to present at ACM SIGGRAPH Asia conference in 2014.  He also worked as a data scientist at Drexel University and published papers on knowledge visualization.&lt;br /&gt;
&lt;br /&gt;
== Interests ==&lt;br /&gt;
* Personalization&lt;br /&gt;
* Information Retrieval&lt;br /&gt;
* Information Visualization&lt;br /&gt;
* Human-Computer Interaction&lt;br /&gt;
== Projects==&lt;br /&gt;
*[[GALE: Distillation with Utility-Optimized Transcription and Translation]]&lt;br /&gt;
*[[Personalized Access to Open Corpus Educational Resources through Adaptive Navigation Support and Adaptive Visualization]]&lt;br /&gt;
* [[Educational Software for Teaching and Learning Information Retrieval]]&lt;br /&gt;
== Systems ==&lt;br /&gt;
* [[ADVISE]]&lt;br /&gt;
** [[Adaptive VIBE]]&lt;br /&gt;
* [[Knowledge Sea II]]&lt;br /&gt;
* [[TaskSieve]]&lt;br /&gt;
* [[NameSieve]]&lt;br /&gt;
* [[YourNews]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=People&amp;diff=4066</id>
		<title>People</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=People&amp;diff=4066"/>
		<updated>2020-06-12T18:38:14Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Faculty ==&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Peter.jpg|'''[[User:Peterb | Peter Brusilovsky]]'''&amp;lt;br/&amp;gt;Director&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Doctoral Students ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Avatar.jpg|[http://pitt.edu/~hkc6 Hung Chau]&lt;br /&gt;
Image:Jordan.jpeg|[http://pitt.edu/~jab464 Jordan Barria-Pineda]&lt;br /&gt;
Image:Kamil.jpg|[http://pitt.edu/~kaa108 Kamil Akhuseyinoglu]&lt;br /&gt;
Image:zrisha.png|[https://zakrisha.com Zak Risha]&lt;br /&gt;
Image:behnam.jpg|[http://pitt.edu/~ber58 Behnam Rahdari]&lt;br /&gt;
Image:k.thaker.png|[http://pitt.edu/~kmt81 Khushboo Thaker]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Visiting Scholars ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Past Doctoral Students ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Tsai.jpg|[http://www.cht77.com/ Chun-Hua Tsai] &amp;lt;br/&amp;gt;Currently Assistant Research Professor in the IST Department at Penn State University&lt;br /&gt;
Image:Roya.jpg|[[User:R.hosseini | Roya Hosseini]]&lt;br /&gt;
Image:yunhuang.png|[http://columbus.exp.sis.pitt.edu/yunhuang/index.htm Yun Huang]&lt;br /&gt;
Image:Julio.jpg|[[User:Julio | Julio Guerra]]&lt;br /&gt;
Image:xidao.jpg|[[User:Xidao| Xidao Wen]]&lt;br /&gt;
Image:Shaghayeghsahebi.jpg|[[User:Sherry | Shaghayegh Sahebi (Sherry)]] &amp;lt;br/&amp;gt;Currently Assistant Professor in the Computer Science Department at State University of New York (SUNY) at Albany&lt;br /&gt;
Image:Clau.JPG|[[User:Clau | Claudia López]] &amp;lt;br/&amp;gt;Currently Assistant Professor in the Departamento de Informática, Universidad Técnica Federico Santa María, Chile&lt;br /&gt;
Image:Kong.png|[[User:Chirayu | Chirayu Wongchokprasitti]] &amp;lt;br/&amp;gt; Currently at the Department of Biomedical Informatics, University of Pittsburgh&lt;br /&gt;
Image:jennifer.jpg|[[User:Jennifer | Jennifer (Yiling) Lin]]&amp;lt;br/&amp;gt;Currently Assistant Professor in the department of Information Management at the National Sun Yat-Sen University.&lt;br /&gt;
Image:Denis_PAWS_blog.jpg|[[User:Dparra | Denis Parra]]&amp;lt;br/&amp;gt;Currently Assistant Professor at the Computer Science Department, School of Engineering at PUC Chile.&lt;br /&gt;
Image:jaewook-1.jpg|[[User:Jahn | Jae-wook Ahn]]&amp;lt;br/&amp;gt;Projects: [[ADVISE]], [[Adaptive VIBE]], [[YourNews]], [[TaskSieve]], [[NameSieve]]&amp;lt;br/&amp;gt;Research Staff Member, Distributed AI,IBM Research&lt;br /&gt;
Image:RostaFarzan.jpg|[[User:Rostaf | Rosta Farzan]]&amp;lt;br/&amp;gt;Currently Assistant Professor at School of Computing and Information, University of Pittsburgh.&lt;br /&gt;
Image:Michael_V_Yudelson.gif|'''[[User:Myudelson | Michael V. Yudelson]]'''&amp;lt;br/&amp;gt;Projects: [[Knowledge Tree]], [[CUMULATE]], [[PERSEUS]], [[NavEx]], [[CoPE]], [[WebEx]]&amp;lt;br/&amp;gt;Currently Postdoctoral Fellow at Carnegie Mellon University&lt;br /&gt;
Image:Sergey.jpg|[[User:Sergey | Sergey Sosnovsky]]&amp;lt;br&amp;gt; Currently Assistant Professor at Utrecht University (the Netherlands)&lt;br /&gt;
Image:Hsiao.jpg|[[User:Shoha99 | Sharon (I-Han) Hsiao]]&amp;lt;br/&amp;gt;Projects: [[AnnotEx]], [[QuizJET]], [[Progressor]], [[ProgressorPlus]]&amp;lt;br/&amp;gt;Currently Assistant Professor @ CIDSE, Arizona State University&lt;br /&gt;
Image:Danielle.gif|[[User:Suleehs | Danielle H. Lee]]&amp;lt;br/&amp;gt;Projects: [[Eventur]], [[Proactive]]&amp;lt;br/&amp;gt;Currently Assistant Professor at the Department of Software, Sangmyung University, Korea&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Past Visiting Faculty ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Susan_bull.png|[https://www.researchgate.net/profile/Susan_Bull2 Susan Bull]&lt;br /&gt;
Image:Jaakko peltonen 215x296.jpg|[http://users.ics.aalto.fi/jtpelto// Jaakko Peltonen]&lt;br /&gt;
Image:IMG_0611.JPG|[http://www.dcs.warwick.ac.uk/~acristea/ Alexandra I. Cristea]&lt;br /&gt;
Image:Sibel.jpg|[http://sibelsomyurek.com/ Sibel Somyürek]&lt;br /&gt;
Image:KatrienVerbert.jpg|[http://people.cs.kuleuven.be/~katrien.verbert/KatrienVerbert/Katrien_Verbert.html Katrien Verbert]&lt;br /&gt;
Image:Roman bednarik.png|[http://cs.uef.fi/~rbednari/ Roman Bednarik]&lt;br /&gt;
Image:TanjaMitrovic.jpg|[http://www.cosc.canterbury.ac.nz/tanja.mitrovic/ Tanja Mitrovic]&lt;br /&gt;
Image:Eva millan.gif|[http://www.lcc.uma.es/~eva/ Eva Millán Valldeperas]&lt;br /&gt;
Image:Julita vasilleva.gif|[http://www.cs.usask.ca/faculty/julita/ Julita Vassileva]&lt;br /&gt;
Image:NicolaHenze.gif|[http://www.kbs.uni-hannover.de/~henze/ Nicola Henze]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Past Master Students ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Vikrant Khenat.jpg|[http://www.sis.pitt.edu/~vkhenat/ Vikrant Khenat]&lt;br /&gt;
Image:Tibor Dumitriu.gif|[http://www.sis.pitt.edu/~dumitriu/ Tibor Dumitriu]&amp;lt;br/&amp;gt;Projects: [http://ir.exp.sis.pitt.edu/advise/ AdVisE]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Past Visiting Scholars == &lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Laia_alb%C3%B3.png|Laia Albó &amp;lt;br&amp;gt; Postdoc Researcher, [https://www.upf.edu/web/tide TIDE], Universitat Pompeu Fabra (Barcelona)&lt;br /&gt;
Image:huhtamaki-jukka-300.jpg|[http://www.linkedin.com/in/jukkahuhtamaki Jukka Huhtamäki]&amp;lt;br/&amp;gt;Postdoc Researcher, DSc (Tech), University of Tampere&lt;br /&gt;
Image:Andrew.jpg|Shuchen Li (Andrew) &amp;lt;br/&amp;gt;From  Beijing University of Posts and Telecommunications&lt;br /&gt;
Image:Rafael.png|[https://rafaelrda.wordpress.com Rafael Dias Araújo]&lt;br /&gt;
Image:Liping_wang.jpg|Liping Wang&amp;lt;br/&amp;gt;From JiLin University&lt;br /&gt;
Image:Ayca cebi.jpg|[https://ktu.academia.edu/aycacebi Ayça ÇEBİ] &amp;lt;br/&amp;gt;From Karadeniz Technical University&lt;br /&gt;
Image:File crop1 1183908 y 384.jpg|[https://people.aalto.fi/index.html?profilepage=isfor#!teemu_sirkia Teemu Sirkiä]&lt;br /&gt;
Image:Michelle_liang.JPG|[http://www.tcs.fudan.edu.cn/~michelle/index.html Michelle Liang]&lt;br /&gt;
Image:Pkraker.jpg|[http://science20.wordpress.com Peter Kraker] &amp;lt;br/&amp;gt;Marshall Plan Scholar &lt;br /&gt;
Image:Kim.jpg|Jaekyung Kim&lt;br /&gt;
Image:Jbravo.gif|[http://www.eps.uam.es/esp/personal/ficha.php?empid=367 Javier Bravo Agapito]&lt;br /&gt;
Image:MarkusKetterl1.jpg|[http://studip.serv.uni-osnabrueck.de/extern.php?username=mketterl&amp;amp;page_url=http://www.virtuos.uni-osnabrueck.de/VirtUOS/TemplStudipMitarbDetails&amp;amp;global_id=4c8fb9ddd4dde83366119b2031d39ab3 Markus Ketterl]&lt;br /&gt;
Image:Jillfreyne.jpg|[http://www.csi.ucd.ie/users/jill-freyne Jill Freyne]&lt;br /&gt;
Image:Robert.jpg|Robert Mertens&lt;br /&gt;
Image:Roman bednarik.png|[http://www.cs.joensuu.fi/~rbednari/ Roman bednarik]&lt;br /&gt;
Image:Ewald ramp.jpg|Ewald W. A. Ramp&lt;br /&gt;
Image:Jacopo.jpg|Jacopo Armani&lt;br /&gt;
Image:Yetunde.JPG|Yetunde Folajimi&lt;br /&gt;
Image:Chris_face.jpg|[http://www.austria-lexikon.at/af/User/Trattner%20Christoph Christof Trattner]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=People&amp;diff=4065</id>
		<title>People</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=People&amp;diff=4065"/>
		<updated>2020-06-12T18:37:12Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Faculty ==&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Peter.jpg|'''[[User:Peterb | Peter Brusilovsky]]'''&amp;lt;br/&amp;gt;Director&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Doctoral Students ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Avatar.jpg|[http://pitt.edu/~hkc6 Hung Chau]&lt;br /&gt;
Image:Jordan.jpeg|[http://pitt.edu/~jab464 Jordan Barria-Pineda]&lt;br /&gt;
Image:Kamil.jpg|[http://pitt.edu/~kaa108 Kamil Akhuseyinoglu]&lt;br /&gt;
Image:zrisha.png|[https://zakrisha.com Zak Risha]&lt;br /&gt;
Image:behnam.jpg|[http://pitt.edu/~ber58 Behnam Rahdari]&lt;br /&gt;
Image:k.thaker.png|[http://pitt.edu/~kmt81 Khushboo Thaker]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Visiting Scholars ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Past Doctoral Students ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Tsai.jpg|[http://www.cht77.com/ Chun-Hua Tsai] &amp;lt;br/&amp;gt;Currently Assistant Research Professor in the IST Department at Penn State University&lt;br /&gt;
Image:Roya.jpg|[[User:R.hosseini | Roya Hosseini]]&lt;br /&gt;
Image:yunhuang.png|[http://columbus.exp.sis.pitt.edu/yunhuang/index.htm Yun Huang]&lt;br /&gt;
Image:Julio.jpg|[[User:Julio | Julio Guerra]]&lt;br /&gt;
Image:xidao.jpg|[[User:Xidao| Xidao Wen]]&lt;br /&gt;
Image:Shaghayeghsahebi.jpg|[[User:Sherry | Shaghayegh Sahebi (Sherry)]] &amp;lt;br/&amp;gt;Currently Assistant Professor in the Computer Science Department at State University of New York (SUNY) at Albany&lt;br /&gt;
Image:Clau.JPG|[[User:Clau | Claudia López]] &amp;lt;br/&amp;gt;Currently Assistant Professor in the Departamento de Informática, Universidad Técnica Federico Santa María, Chile&lt;br /&gt;
Image:Kong.png|[[User:Chirayu | Chirayu Wongchokprasitti]] &amp;lt;br/&amp;gt; Currently at the Department of Biomedical Informatics, University of Pittsburgh&lt;br /&gt;
Image:jennifer.jpg|[[User:Jennifer | Jennifer (Yiling) Lin]]&amp;lt;br/&amp;gt;Currently Assistant Professor in the department of Information Management at the National Sun Yat-Sen University.&lt;br /&gt;
Image:Denis_PAWS_blog.jpg|[[User:Dparra | Denis Parra]]&amp;lt;br/&amp;gt;Currently Assistant Professor at the Computer Science Department, School of Engineering at PUC Chile.&lt;br /&gt;
Image:jaewook-1.jpg|[[User:Jahn | Jae-wook Ahn]]&amp;lt;br/&amp;gt;Projects: [[ADVISE]], [[Adaptive VIBE]], [[YourNews]], [[YourSports]], [[TaskSieve]], [[NameSieve]]&amp;lt;br/&amp;gt;Research Staff Member, Distributed AI,IBM Research&lt;br /&gt;
Image:RostaFarzan.jpg|[[User:Rostaf | Rosta Farzan]]&amp;lt;br/&amp;gt;Currently Assistant Professor at School of Computing and Information, University of Pittsburgh.&lt;br /&gt;
Image:Michael_V_Yudelson.gif|'''[[User:Myudelson | Michael V. Yudelson]]'''&amp;lt;br/&amp;gt;Projects: [[Knowledge Tree]], [[CUMULATE]], [[PERSEUS]], [[NavEx]], [[CoPE]], [[WebEx]]&amp;lt;br/&amp;gt;Currently Postdoctoral Fellow at Carnegie Mellon University&lt;br /&gt;
Image:Sergey.jpg|[[User:Sergey | Sergey Sosnovsky]]&amp;lt;br&amp;gt; Currently Assistant Professor at Utrecht University (the Netherlands)&lt;br /&gt;
Image:Hsiao.jpg|[[User:Shoha99 | Sharon (I-Han) Hsiao]]&amp;lt;br/&amp;gt;Projects: [[AnnotEx]], [[QuizJET]], [[Progressor]], [[ProgressorPlus]]&amp;lt;br/&amp;gt;Currently Assistant Professor @ CIDSE, Arizona State University&lt;br /&gt;
Image:Danielle.gif|[[User:Suleehs | Danielle H. Lee]]&amp;lt;br/&amp;gt;Projects: [[Eventur]], [[Proactive]]&amp;lt;br/&amp;gt;Currently Assistant Professor at the Department of Software, Sangmyung University, Korea&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Past Visiting Faculty ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Susan_bull.png|[https://www.researchgate.net/profile/Susan_Bull2 Susan Bull]&lt;br /&gt;
Image:Jaakko peltonen 215x296.jpg|[http://users.ics.aalto.fi/jtpelto// Jaakko Peltonen]&lt;br /&gt;
Image:IMG_0611.JPG|[http://www.dcs.warwick.ac.uk/~acristea/ Alexandra I. Cristea]&lt;br /&gt;
Image:Sibel.jpg|[http://sibelsomyurek.com/ Sibel Somyürek]&lt;br /&gt;
Image:KatrienVerbert.jpg|[http://people.cs.kuleuven.be/~katrien.verbert/KatrienVerbert/Katrien_Verbert.html Katrien Verbert]&lt;br /&gt;
Image:Roman bednarik.png|[http://cs.uef.fi/~rbednari/ Roman Bednarik]&lt;br /&gt;
Image:TanjaMitrovic.jpg|[http://www.cosc.canterbury.ac.nz/tanja.mitrovic/ Tanja Mitrovic]&lt;br /&gt;
Image:Eva millan.gif|[http://www.lcc.uma.es/~eva/ Eva Millán Valldeperas]&lt;br /&gt;
Image:Julita vasilleva.gif|[http://www.cs.usask.ca/faculty/julita/ Julita Vassileva]&lt;br /&gt;
Image:NicolaHenze.gif|[http://www.kbs.uni-hannover.de/~henze/ Nicola Henze]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Past Master Students ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Vikrant Khenat.jpg|[http://www.sis.pitt.edu/~vkhenat/ Vikrant Khenat]&lt;br /&gt;
Image:Tibor Dumitriu.gif|[http://www.sis.pitt.edu/~dumitriu/ Tibor Dumitriu]&amp;lt;br/&amp;gt;Projects: [http://ir.exp.sis.pitt.edu/advise/ AdVisE]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Past Visiting Scholars == &lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Laia_alb%C3%B3.png|Laia Albó &amp;lt;br&amp;gt; Postdoc Researcher, [https://www.upf.edu/web/tide TIDE], Universitat Pompeu Fabra (Barcelona)&lt;br /&gt;
Image:huhtamaki-jukka-300.jpg|[http://www.linkedin.com/in/jukkahuhtamaki Jukka Huhtamäki]&amp;lt;br/&amp;gt;Postdoc Researcher, DSc (Tech), University of Tampere&lt;br /&gt;
Image:Andrew.jpg|Shuchen Li (Andrew) &amp;lt;br/&amp;gt;From  Beijing University of Posts and Telecommunications&lt;br /&gt;
Image:Rafael.png|[https://rafaelrda.wordpress.com Rafael Dias Araújo]&lt;br /&gt;
Image:Liping_wang.jpg|Liping Wang&amp;lt;br/&amp;gt;From JiLin University&lt;br /&gt;
Image:Ayca cebi.jpg|[https://ktu.academia.edu/aycacebi Ayça ÇEBİ] &amp;lt;br/&amp;gt;From Karadeniz Technical University&lt;br /&gt;
Image:File crop1 1183908 y 384.jpg|[https://people.aalto.fi/index.html?profilepage=isfor#!teemu_sirkia Teemu Sirkiä]&lt;br /&gt;
Image:Michelle_liang.JPG|[http://www.tcs.fudan.edu.cn/~michelle/index.html Michelle Liang]&lt;br /&gt;
Image:Pkraker.jpg|[http://science20.wordpress.com Peter Kraker] &amp;lt;br/&amp;gt;Marshall Plan Scholar &lt;br /&gt;
Image:Kim.jpg|Jaekyung Kim&lt;br /&gt;
Image:Jbravo.gif|[http://www.eps.uam.es/esp/personal/ficha.php?empid=367 Javier Bravo Agapito]&lt;br /&gt;
Image:MarkusKetterl1.jpg|[http://studip.serv.uni-osnabrueck.de/extern.php?username=mketterl&amp;amp;page_url=http://www.virtuos.uni-osnabrueck.de/VirtUOS/TemplStudipMitarbDetails&amp;amp;global_id=4c8fb9ddd4dde83366119b2031d39ab3 Markus Ketterl]&lt;br /&gt;
Image:Jillfreyne.jpg|[http://www.csi.ucd.ie/users/jill-freyne Jill Freyne]&lt;br /&gt;
Image:Robert.jpg|Robert Mertens&lt;br /&gt;
Image:Roman bednarik.png|[http://www.cs.joensuu.fi/~rbednari/ Roman bednarik]&lt;br /&gt;
Image:Ewald ramp.jpg|Ewald W. A. Ramp&lt;br /&gt;
Image:Jacopo.jpg|Jacopo Armani&lt;br /&gt;
Image:Yetunde.JPG|Yetunde Folajimi&lt;br /&gt;
Image:Chris_face.jpg|[http://www.austria-lexikon.at/af/User/Trattner%20Christoph Christof Trattner]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=3598</id>
		<title>User:Jahn</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=3598"/>
		<updated>2016-08-12T22:14:34Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* Jae-wook Ahn */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Jae-wook Ahn ==&lt;br /&gt;
&lt;br /&gt;
Ph.D. , PAWS Alumni&lt;br /&gt;
&lt;br /&gt;
[[Image:Jaewook-1.jpg|thumb|left]]&lt;br /&gt;
&lt;br /&gt;
[http://researcher.ibm.com/researcher/view.php?person=us-jaewook.ahn Jae-wook] is a [http://researcher.ibm.com/researcher/view.php?person=us-jaewook.ahn research staff member] at [http://researcher.ibm.com/researcher/view_group.php?id=6362 Cognitive Sciences and Education Group], [http://www.research.ibm.com/ IBM Research].  He has worked as a data scientist at IBM Watson Life Group and participated in [https://www.ibmchefwatson.com Chef Watson] project, which is an attempt to create and recommend new recipes by leveraging IBM’s super computer Watson's artificial intelligence and natural language processing power (http://www.ibm.com/smarterplanet/us/en/ibmwatson).  He is specialized in information visualization, human-computer interaction, personalized search, and recommender systems.  Before joining IBM, he was a member of the School of Information Sciences PAWS (Personalized Adaptive Web Systems) Lab and received his Ph.D. while publishing a number of papers with his advisor Professor Peter Brusilovsky at premier conferences and journals such as World Wide Web 2007/2008, UMAP (User Modeling, Adaptation, and Personalization) 2010, Intelligent User Interfaces (IUI) 2015, Web Intelligence (WI) and IP&amp;amp;M (Information Processing and Management).&lt;br /&gt;
&lt;br /&gt;
After graduation, he was selected as a prestigious NSF-CRA Computing Innovation Fellow (http://cifellows.org) in 2010 and worked with Professor Ben Shneiderman at the University of Maryland Human-Computer Interaction Lab.  The fellowship supported outstanding new computer or information science Ph.D.'s on their post-doctoral research.  His work on network evolution visualization was published at conferences and a journal.  In particular his IEEE TVCG (Transactions on Visualization and Computer Graphics) article was selected as the Highlight of the Month by the journal editors and was invited to present at ACM SIGGRAPH Asia conference in 2014.  He also worked as a data scientist at Drexel University and published papers on knowledge visualization.&lt;br /&gt;
&lt;br /&gt;
== Interests ==&lt;br /&gt;
* Personalization&lt;br /&gt;
* Information Retrieval&lt;br /&gt;
* Information Visualization&lt;br /&gt;
* Human-Computer Interaction&lt;br /&gt;
== Projects==&lt;br /&gt;
*[[GALE: Distillation with Utility-Optimized Transcription and Translation]]&lt;br /&gt;
*[[Personalized Access to Open Corpus Educational Resources through Adaptive Navigation Support and Adaptive Visualization]]&lt;br /&gt;
* [[Educational Software for Teaching and Learning Information Retrieval]]&lt;br /&gt;
== Systems ==&lt;br /&gt;
* [[ADVISE]]&lt;br /&gt;
** [[Adaptive VIBE]]&lt;br /&gt;
* [[Knowledge Sea II]]&lt;br /&gt;
* [[TaskSieve]]&lt;br /&gt;
* [[NameSieve]]&lt;br /&gt;
* [[YourNews]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=3597</id>
		<title>User:Jahn</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=3597"/>
		<updated>2016-08-12T22:12:22Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* Jae-wook Ahn */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Jae-wook Ahn ==&lt;br /&gt;
&lt;br /&gt;
Ph.D. , PAWS Alumni&lt;br /&gt;
&lt;br /&gt;
[[Image:Jaewook-1.jpg|thumb|left]]&lt;br /&gt;
&lt;br /&gt;
[http://researcher.ibm.com/researcher/view.php?person=us-jaewook.ahn Jae-wook] is a research staff member at Cognitive Sciences and Education Group, IBM Research.  He has worked as a data scientist at IBM Watson Life Group and participated in [https://www.ibmchefwatson.com Chef Watson] project, which is an attempt to create and recommend new recipes by leveraging IBM’s super computer Watson's artificial intelligence and natural language processing power (http://www.ibm.com/smarterplanet/us/en/ibmwatson).  He is specialized in information visualization, human-computer interaction, personalized search, and recommender systems.  Before joining IBM, he was a member of the School of Information Sciences PAWS (Personalized Adaptive Web Systems) Lab and received his Ph.D. while publishing a number of papers with his advisor Professor Peter Brusilovsky at premier conferences and journals such as World Wide Web 2007/2008, UMAP (User Modeling, Adaptation, and Personalization) 2010, Intelligent User Interfaces (IUI) 2015, Web Intelligence (WI) and IP&amp;amp;M (Information Processing and Management).&lt;br /&gt;
&lt;br /&gt;
After graduation, he was selected as a prestigious NSF-CRA Computing Innovation Fellow (http://cifellows.org) in 2010 and worked with Professor Ben Shneiderman at the University of Maryland Human-Computer Interaction Lab.  The fellowship supported outstanding new computer or information science Ph.D.'s on their post-doctoral research.  His work on network evolution visualization was published at conferences and a journal.  In particular his IEEE TVCG (Transactions on Visualization and Computer Graphics) article was selected as the Highlight of the Month by the journal editors and was invited to present at ACM SIGGRAPH Asia conference in 2014.  He also worked as a data scientist at Drexel University and published papers on knowledge visualization.&lt;br /&gt;
&lt;br /&gt;
== Interests ==&lt;br /&gt;
* Personalization&lt;br /&gt;
* Information Retrieval&lt;br /&gt;
* Information Visualization&lt;br /&gt;
* Human-Computer Interaction&lt;br /&gt;
== Projects==&lt;br /&gt;
*[[GALE: Distillation with Utility-Optimized Transcription and Translation]]&lt;br /&gt;
*[[Personalized Access to Open Corpus Educational Resources through Adaptive Navigation Support and Adaptive Visualization]]&lt;br /&gt;
* [[Educational Software for Teaching and Learning Information Retrieval]]&lt;br /&gt;
== Systems ==&lt;br /&gt;
* [[ADVISE]]&lt;br /&gt;
** [[Adaptive VIBE]]&lt;br /&gt;
* [[Knowledge Sea II]]&lt;br /&gt;
* [[TaskSieve]]&lt;br /&gt;
* [[NameSieve]]&lt;br /&gt;
* [[YourNews]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=People&amp;diff=3596</id>
		<title>People</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=People&amp;diff=3596"/>
		<updated>2016-08-12T22:09:37Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* Past Doctoral Students */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Faculty ==&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Peter.jpg|'''[[User:Peterb | Peter Brusilovsky]]'''&amp;lt;br/&amp;gt;Director&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Doctoral Students ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Shaghayeghsahebi.jpg|[[User:Sherry | Shaghayegh Sahebi (Sherry)]]&lt;br /&gt;
Image:Julio.jpg|[[User:Julio | Julio Guerra]]&lt;br /&gt;
Image:Roya.jpg|[[User:R.hosseini | Roya Hosseini]]&lt;br /&gt;
Image:xidao.jpg|[[User:Xidao| Xidao Wen]]&lt;br /&gt;
Image:yunhuang.png|[[User:Yuh43| Yun Huang]]&lt;br /&gt;
Image:Tsai.jpg|[http://www.cht77.com/ Chun-Hua Tsai]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Visiting Scholars ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Rafael.png|[https://rafaelrda.wordpress.com Rafael Dias Araújo]&lt;br /&gt;
Image:Liping_wang.jpg|Liping Wang&amp;lt;br/&amp;gt;From JiLin University&lt;br /&gt;
Image:Ayca cebi.jpg|[https://ktu.academia.edu/aycacebi Ayça ÇEBİ] &amp;lt;br/&amp;gt;From Karadeniz Technical University&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Past Doctoral Students ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Clau.JPG|[[User:Clau | Claudia López]]&lt;br /&gt;
Image:Kong.png|[[User:Chirayu | Chirayu Wongchokprasitti]]&lt;br /&gt;
Image:jennifer.jpg|[[User:Jennifer | Jennifer (Yiling) Lin]]&amp;lt;br/&amp;gt;Currently Assistant Professor in the department of Information Management at the National Sun Yat-Sen University.&lt;br /&gt;
Image:Denis_PAWS_blog.jpg|[[User:Dparra | Denis Parra]]&amp;lt;br/&amp;gt;Currently Assistant Professor at the Computer Science Department, School of Engineering at PUC Chile.&lt;br /&gt;
Image:jaewook-1.jpg|[[User:Jahn | Jae-wook Ahn]]&amp;lt;br/&amp;gt;Projects: [[ADVISE]], [[Adaptive VIBE]], [[YourNews]], [[YourSports]], [[TaskSieve]], [[NameSieve]]&amp;lt;br/&amp;gt;Research Staff Member, Cognitive Sciences and Education,IBM Research&lt;br /&gt;
Image:RostaFarzan.jpg|[[User:Rostaf | Rosta Farzan]]&amp;lt;br/&amp;gt;Currently Assistant Professor at School of Information Sciences.&lt;br /&gt;
Image:Michael_V_Yudelson.gif|'''[[User:Myudelson | Michael V. Yudelson]]'''&amp;lt;br/&amp;gt;Projects: [[Knowledge Tree]], [[CUMULATE]], [[PERSEUS]], [[NavEx]], [[CoPE]], [[WebEx]]&amp;lt;br/&amp;gt;Currently Postdoctoral Fellow at Carnegie Mellon University&lt;br /&gt;
Image:Sergey.jpg|[[User:Sergey | Sergey Sosnovsky]]&amp;lt;br&amp;gt; Currently Principal Researcher, Head of the Intelligent e-Learning Technology Lab, CeLTech, DFKI&lt;br /&gt;
Image:Hsiao.jpg|[[User:Shoha99 | Sharon (I-Han) Hsiao]]&amp;lt;br/&amp;gt;Projects: [[AnnotEx]], [[QuizJET]], [[Progressor]], [[ProgressorPlus]]&amp;lt;br/&amp;gt;Currently Assistant Professor @ CIDSE, Arizona State University&lt;br /&gt;
Image:Danielle.gif|[[User:Suleehs | Danielle H. Lee]]&amp;lt;br/&amp;gt;Projects: [[Eventur]], [[Proactive]]&amp;lt;br/&amp;gt;Currently Assistant Professor at the University of Washington&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Past Visiting Faculty ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Jaakko peltonen 215x296.jpg|[http://users.ics.aalto.fi/jtpelto// Jaakko Peltonen]&lt;br /&gt;
Image:IMG_0611.JPG|[http://www.dcs.warwick.ac.uk/~acristea/ Alexandra I. Cristea]&lt;br /&gt;
Image:Sibel.jpg|[http://sibelsomyurek.com/ Sibel Somyürek]&lt;br /&gt;
Image:KatrienVerbert.jpg|[http://people.cs.kuleuven.be/~katrien.verbert/KatrienVerbert/Katrien_Verbert.html Katrien Verbert]&lt;br /&gt;
Image:Roman bednarik.png|[http://cs.uef.fi/~rbednari/ Roman Bednarik]&lt;br /&gt;
Image:TanjaMitrovic.jpg|[http://www.cosc.canterbury.ac.nz/tanja.mitrovic/ Tanja Mitrovic]&lt;br /&gt;
Image:Eva millan.gif|[http://www.lcc.uma.es/~eva/ Eva Millán Valldeperas]&lt;br /&gt;
Image:Julita vasilleva.gif|[http://www.cs.usask.ca/faculty/julita/ Julita Vassileva]&lt;br /&gt;
Image:NicolaHenze.gif|[http://www.kbs.uni-hannover.de/~henze/ Nicola Henze]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Past Master Students ==&lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:Vikrant Khenat.jpg|[http://www.sis.pitt.edu/~vkhenat/ Vikrant Khenat]&lt;br /&gt;
Image:Tibor Dumitriu.gif|[http://www.sis.pitt.edu/~dumitriu/ Tibor Dumitriu]&amp;lt;br/&amp;gt;Projects: [http://ir.exp.sis.pitt.edu/advise/ AdVisE]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Past Visiting Scholars == &lt;br /&gt;
&amp;lt;gallery perrow=&amp;quot;4&amp;quot;&amp;gt;&lt;br /&gt;
Image:File crop1 1183908 y 384.jpg|[https://people.aalto.fi/index.html?profilepage=isfor#!teemu_sirkia Teemu Sirkiä]&lt;br /&gt;
Image:Kim.jpg|Jaekyung Kim&lt;br /&gt;
Image:Jbravo.gif|[http://www.eps.uam.es/esp/personal/ficha.php?empid=367 Javier Bravo Agapito]&lt;br /&gt;
Image:MarkusKetterl1.jpg|[http://studip.serv.uni-osnabrueck.de/extern.php?username=mketterl&amp;amp;page_url=http://www.virtuos.uni-osnabrueck.de/VirtUOS/TemplStudipMitarbDetails&amp;amp;global_id=4c8fb9ddd4dde83366119b2031d39ab3 Markus Ketterl]&lt;br /&gt;
Image:Jillfreyne.jpg|[http://www.csi.ucd.ie/users/jill-freyne Jill Freyne]&lt;br /&gt;
Image:Robert.jpg|Robert Mertens&lt;br /&gt;
Image:Roman bednarik.png|[http://www.cs.joensuu.fi/~rbednari/ Roman bednarik]&lt;br /&gt;
Image:Ewald ramp.jpg|Ewald W. A. Ramp&lt;br /&gt;
Image:Jacopo.jpg|Jacopo Armani&lt;br /&gt;
Image:Yetunde.JPG|Yetunde Folajimi&lt;br /&gt;
Image:Chris_face.jpg|[http://www.austria-lexikon.at/af/User/Trattner%20Christoph Christof Trattner]&lt;br /&gt;
Image:Michelle_liang.JPG|[http://www.tcs.fudan.edu.cn/~michelle/index.html Michelle Liang]&lt;br /&gt;
Image:Pkraker.jpg|[http://science20.wordpress.com Peter Kraker] &amp;lt;br/&amp;gt;Marshall Plan Scholar &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=3002</id>
		<title>User:Jahn</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=3002"/>
		<updated>2016-03-25T04:33:40Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* Jae-wook Ahn */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Jae-wook Ahn ==&lt;br /&gt;
&lt;br /&gt;
Ph.D. , PAWS Alumni&lt;br /&gt;
&lt;br /&gt;
[[Image:Jaewook-1.jpg|thumb|left]]&lt;br /&gt;
&lt;br /&gt;
[http://researcher.ibm.com/researcher/view.php?person=us-jaewook.ahn Jae-wook] is a data scientist at IBM Watson Life Group.  He is currently participating in a project called [https://www.ibmchefwatson.com Chef Watson], which is an attempt to create and recommend new recipes by leveraging IBM’s super computer Watson's artificial intelligence and natural language processing power (http://www.ibm.com/smarterplanet/us/en/ibmwatson).  He is specialized in information visualization, human-computer interaction, personalized search, and recommender systems.  Before joining IBM, he was a member of the School of Information Sciences PAWS (Personalized Adaptive Web Systems) Lab and received his Ph.D. while publishing a number of papers with his advisor Professor Peter Brusilovsky at premier conferences and journals such as World Wide Web 2007/2008, UMAP (User Modeling, Adaptation, and Personalization) 2010, Intelligent User Interfaces (IUI) 2015, Web Intelligence (WI) and IP&amp;amp;M (Information Processing and Management).&lt;br /&gt;
&lt;br /&gt;
After graduation, he was selected as a prestigious NSF-CRA Computing Innovation Fellow (http://cifellows.org) in 2010 and worked with Professor Ben Shneiderman at the University of Maryland Human-Computer Interaction Lab.  The fellowship supported outstanding new computer or information science Ph.D.'s on their post-doctoral research.  His work on network evolution visualization was published at conferences and a journal.  In particular his IEEE TVCG (Transactions on Visualization and Computer Graphics) article was selected as the Highlight of the Month by the journal editors and was invited to present at ACM SIGGRAPH Asia conference in 2014.  He also worked as a data scientist at Drexel University and published papers on knowledge visualization.&lt;br /&gt;
&lt;br /&gt;
== Interests ==&lt;br /&gt;
* Personalization&lt;br /&gt;
* Information Retrieval&lt;br /&gt;
* Information Visualization&lt;br /&gt;
* Human-Computer Interaction&lt;br /&gt;
== Projects==&lt;br /&gt;
*[[GALE: Distillation with Utility-Optimized Transcription and Translation]]&lt;br /&gt;
*[[Personalized Access to Open Corpus Educational Resources through Adaptive Navigation Support and Adaptive Visualization]]&lt;br /&gt;
* [[Educational Software for Teaching and Learning Information Retrieval]]&lt;br /&gt;
== Systems ==&lt;br /&gt;
* [[ADVISE]]&lt;br /&gt;
** [[Adaptive VIBE]]&lt;br /&gt;
* [[Knowledge Sea II]]&lt;br /&gt;
* [[TaskSieve]]&lt;br /&gt;
* [[NameSieve]]&lt;br /&gt;
* [[YourNews]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=3001</id>
		<title>User:Jahn</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=3001"/>
		<updated>2016-03-25T04:31:35Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* Jae-wook Ahn */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Jae-wook Ahn ==&lt;br /&gt;
&lt;br /&gt;
Ph.D. , PAWS Alumni&lt;br /&gt;
&lt;br /&gt;
[[Image:Jaewook-1.jpg|thumb|left]]&lt;br /&gt;
&lt;br /&gt;
[http://researcher.ibm.com/researcher/view.php?person=us-jaewook.ahn| Jae-wook] is a data scientist at IBM Watson Life Group.  He is currently participating in a project called [https://www.ibmchefwatson.com| Chef Watson], which is an attempt to create and recommend new recipes by leveraging IBM’s super computer Watson's artificial intelligence and natural language processing power (http://www.ibm.com/smarterplanet/us/en/ibmwatson).  He is specialized in information visualization, human-computer interaction, personalized search, and recommender systems.  Before joining IBM, he was a member of the School of Information Sciences PAWS (Personalized Adaptive Web Systems) Lab and received his Ph.D. while publishing a number of papers with his advisor Professor Peter Brusilovsky at premier conferences and journals such as World Wide Web 2007/2008, UMAP (User Modeling, Adaptation, and Personalization) 2010, Intelligent User Interfaces (IUI) 2015, Web Intelligence (WI) and IP&amp;amp;M (Information Processing and Management).&lt;br /&gt;
&lt;br /&gt;
After graduation, he was selected as a prestigious NSF-CRA Computing Innovation Fellow (http://cifellows.org) in 2010 and worked with Professor Ben Shneiderman at the University of Maryland Human-Computer Interaction Lab.  The fellowship supported outstanding new computer or information science Ph.D.'s on their post-doctoral research.  His work on network evolution visualization was published at conferences and a journal.  In particular his IEEE TVCG (Transactions on Visualization and Computer Graphics) article was selected as the Highlight of the Month by the journal editors and was invited to present at ACM SIGGRAPH Asia conference in 2014.  He also worked as a data scientist at Drexel University and published papers on knowledge visualization.&lt;br /&gt;
&lt;br /&gt;
== Interests ==&lt;br /&gt;
* Personalization&lt;br /&gt;
* Information Retrieval&lt;br /&gt;
* Information Visualization&lt;br /&gt;
* Human-Computer Interaction&lt;br /&gt;
== Projects==&lt;br /&gt;
*[[GALE: Distillation with Utility-Optimized Transcription and Translation]]&lt;br /&gt;
*[[Personalized Access to Open Corpus Educational Resources through Adaptive Navigation Support and Adaptive Visualization]]&lt;br /&gt;
* [[Educational Software for Teaching and Learning Information Retrieval]]&lt;br /&gt;
== Systems ==&lt;br /&gt;
* [[ADVISE]]&lt;br /&gt;
** [[Adaptive VIBE]]&lt;br /&gt;
* [[Knowledge Sea II]]&lt;br /&gt;
* [[TaskSieve]]&lt;br /&gt;
* [[NameSieve]]&lt;br /&gt;
* [[YourNews]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=News&amp;diff=1666</id>
		<title>News</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=News&amp;diff=1666"/>
		<updated>2010-10-14T01:32:16Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
==== 2010-09-17 :: [[User:Myudelson | Michael Yudelson's]] Thesis Defence: Providing Service-Based Personalization In An Adaptive Hypermedia System ====&lt;br /&gt;
The dissertation proposes a novel way of speeding the development of new adaptive hypermedia systems. The gist of the approach is to extract the adaptation functionality out of the adaptive hypermedia system, encapsulate it into a standalone system, and offer adaptation as a service to the client applications. Such a standalone adaptation provider reduces the development of adaptation functionality to configuration and compliance and as a result creates new adaptive systems faster and helps serve larger user populations with adaptively accessible content. [[http://washington.sis.pitt.edu/comet/presentColloquium.do?col_id=777 details]]&lt;br /&gt;
&lt;br /&gt;
==== 2010-09-08 :: [[User:jahn | Jae-wook's]] Thesis Defence: Adaptive Visualization for Focused Personalized Information Retrieval ====&lt;br /&gt;
Jae-wook Ahn's dissertation proposes to incorporate interactive visualization into personalized search in order to overcome the limitation. By combining the personalized search and the interactive visualization, we expect our approach will be able to help users to better explore the information space and locate relevant information more efficiently. [[http://washington.sis.pitt.edu/comet/presentColloquium.do?col_id=764 details]]&lt;br /&gt;
&lt;br /&gt;
==== 2010-07-01 :: [[User:jahn | Jae-wook]] has received Computing Inovation Fellowship ====&lt;br /&gt;
Jae-wook Ahn was chosen as a [http://cifellows.org  CIFellow] (Computing Innovation Fellow) supported by the Computing Community Consortium (CCC), the Computing Research Association (CRA), and the National Science Foundation.  Starting from the fall 2010, he is going to work with [http://www.cs.umd.edu/~ben/ Dr. Ben Shneiderman] at the [http://www.cs.umd.edu/hcil Human Computer Interaction Lab], University of Maryland.&lt;br /&gt;
&lt;br /&gt;
==== 2010-05-01 :: Sergey has received EU Marie Curie International Incoming Fellowship ====&lt;br /&gt;
Sergey Sosnovsky's proposal for EU Marie Curie Fellowship is approved by the EU Research Executive Agency. The funding starts in July, 2010 and will last until July 2012. The project &amp;quot;Intelligent Support for Authoring Semantic Learning Content&amp;quot; will focus on implementation of author-friendly technologies for learning content development, including collaborative authoring support, metadata authoring support, open-corpus content discovery, interactivity authoring, and gap detection.&lt;br /&gt;
&lt;br /&gt;
==== 2009-06-26 :: PAWS Caught on UMAP 2009 Video ====&lt;br /&gt;
* 0:27 [[User:Myudelson|Michael]]&lt;br /&gt;
* 1:09 [[User:Rostaf|Rosta]]&lt;br /&gt;
* 1:18 [[User:Sergey|Sergey]]&lt;br /&gt;
* 1:51 [[User:Suleehs|Danielle]]&lt;br /&gt;
* 3:12 [[User:Myudelson|Michael]] and [[User:Sergey|Sergey]]&lt;br /&gt;
* 4:01 [[User:Peterb|Peter]]&lt;br /&gt;
&amp;lt;youtube&amp;gt;v_amf_zcLtQ&amp;lt;/youtube&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=News&amp;diff=1665</id>
		<title>News</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=News&amp;diff=1665"/>
		<updated>2010-10-14T01:31:18Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
==== 2010-09-17 :: [[User:Myudelson | Michael Yudelson's]] Thesis Defence: Providing Service-Based Personalization In An Adaptive Hypermedia System ====&lt;br /&gt;
The dissertation proposes a novel way of speeding the development of new adaptive hypermedia systems. The gist of the approach is to extract the adaptation functionality out of the adaptive hypermedia system, encapsulate it into a standalone system, and offer adaptation as a service to the client applications. Such a standalone adaptation provider reduces the development of adaptation functionality to configuration and compliance and as a result creates new adaptive systems faster and helps serve larger user populations with adaptively accessible content. [[http://washington.sis.pitt.edu/comet/presentColloquium.do?col_id=777 details]]&lt;br /&gt;
&lt;br /&gt;
==== 2010-09-08 :: [[User:jahn | Jae-wook's]] Thesis Defence: Adaptive Visualization for Focused Personalized Information Retrieval ====&lt;br /&gt;
Jae-wook Ahn's dissertation proposes to incorporate interactive visualization into personalized search in order to overcome the limitation. By combining the personalized search and the interactive visualization, we expect our approach will be able to help users to better explore the information space and locate relevant information more efficiently. [[http://washington.sis.pitt.edu/comet/presentColloquium.do?col_id=764 details]]&lt;br /&gt;
&lt;br /&gt;
==== 2010-07-01 :: [[User:jahn | Jae-wook]] has received the Computing Inovation Fellowship ====&lt;br /&gt;
Jae-wook Ahn was chosen as a [http://cifellows.org  CIFellow] (Computing Innovation Fellow) supported by the Computing Community Consortium (CCC), the Computing Research Association (CRA), and the National Science Foundation.  Starting from the fall 2010, he is going to work with [http://www.cs.umd.edu/~ben/ Dr. Ben Shneiderman] at the [http://www.cs.umd.edu/hcil Human Computer Interaction Lab], University of Maryland.&lt;br /&gt;
&lt;br /&gt;
==== 2010-05-01 :: Sergey has received EU Marie Curie International Incoming Fellowship ====&lt;br /&gt;
Sergey Sosnovsky's proposal for EU Marie Curie Fellowship is approved by the EU Research Executive Agency. The funding starts in July, 2010 and will last until July 2012. The project &amp;quot;Intelligent Support for Authoring Semantic Learning Content&amp;quot; will focus on implementation of author-friendly technologies for learning content development, including collaborative authoring support, metadata authoring support, open-corpus content discovery, interactivity authoring, and gap detection.&lt;br /&gt;
&lt;br /&gt;
==== 2009-06-26 :: PAWS Caught on UMAP 2009 Video ====&lt;br /&gt;
* 0:27 [[User:Myudelson|Michael]]&lt;br /&gt;
* 1:09 [[User:Rostaf|Rosta]]&lt;br /&gt;
* 1:18 [[User:Sergey|Sergey]]&lt;br /&gt;
* 1:51 [[User:Suleehs|Danielle]]&lt;br /&gt;
* 3:12 [[User:Myudelson|Michael]] and [[User:Sergey|Sergey]]&lt;br /&gt;
* 4:01 [[User:Peterb|Peter]]&lt;br /&gt;
&amp;lt;youtube&amp;gt;v_amf_zcLtQ&amp;lt;/youtube&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Meetings&amp;diff=1490</id>
		<title>Meetings</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Meetings&amp;diff=1490"/>
		<updated>2010-04-08T02:47:22Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* 2010-04-06 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2010 Spring ==&lt;br /&gt;
'''Meeting Time:''' Tuesday 1.30pm-3pm&lt;br /&gt;
&amp;lt;br&amp;gt;'''Location:''' IS522&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== 2010-01-26 ===&lt;br /&gt;
* [[User:Myudelson|Michael Yudelson]] will present results of mining SQL Tutor dataset &lt;br /&gt;
* Chirayu Wongchokprasitti will give a practice talk for IUI workshop&lt;br /&gt;
&lt;br /&gt;
=== 2010-02-23 ===&lt;br /&gt;
*[[User:shoha99| Sharon Hsiao]] (Blogger [[User:Myudelson|Michael Yudelson]])&lt;br /&gt;
recent peer review papers overview &amp;amp; preliminary system presentation&lt;br /&gt;
&lt;br /&gt;
=== 2010-03-02 ===&lt;br /&gt;
* Yetunde Folajimi&lt;br /&gt;
&lt;br /&gt;
'''INTELLIGENT TUTORING INFRASTRUCTURE FOR PROFILING DETERMINISTIC WEB-BASED SCHOLARS'''&lt;br /&gt;
&lt;br /&gt;
'''Summary'''&lt;br /&gt;
&lt;br /&gt;
Web-based learning is an important paradigm for supporting flexible, constructive and innovative teaching and learning in a matured learning environment. It is important to demonstrate the prospective impacts of this technology in formal teaching as well as self-paced learning and assessments. As such, there is need for systems that can address concerns in web-based learning in such a manner as to imitate real life situations so as to deliver the values needed in the educational sector. This presentation is aimed at promoting a system that can encourage learners and teachers to work collaboratively towards the education reform by empowering teachers’ e-pedagogy competence and facilitating collaborative education at all levels. Architecture for Such Intelligent web based pedagogical system is subsequently discussed.&lt;br /&gt;
&lt;br /&gt;
'''Research problem'''&lt;br /&gt;
&lt;br /&gt;
# In what way can we can put together the pedagogical activities that can enhance teaching and learning beyond the barriers traditional classroom structure?&lt;br /&gt;
# What are the best models that can facilitate the school system into becoming a virtual community?&lt;br /&gt;
# How can we convert the pedagogical and administrative demands of educational system into technology-driven infrastructure&lt;br /&gt;
# How can the association between the teachers and learners  be classified in such a manner as to translate into a collaborative society?&lt;br /&gt;
&lt;br /&gt;
'''Methodology'''&lt;br /&gt;
&lt;br /&gt;
# Psycho-pedagogical focus&lt;br /&gt;
# Knowledge Engineering&lt;br /&gt;
# Expert system&lt;br /&gt;
# Artificial Intelligence&lt;br /&gt;
# Flexible Teaching Methodology&lt;br /&gt;
&lt;br /&gt;
'''Plan'''&lt;br /&gt;
&lt;br /&gt;
# Discover available infrastructure&lt;br /&gt;
# Discover methods for effective web-based ITS&lt;br /&gt;
# Build improved user model for Distance Education&lt;br /&gt;
# Research on minimizing overhead and maximizing productivity&lt;br /&gt;
# Apply ITS to distant Learning Programmes&lt;br /&gt;
&lt;br /&gt;
=== 2010-03-09 ===&lt;br /&gt;
* Spring break, no meeting&lt;br /&gt;
&lt;br /&gt;
=== 2010-03-16 ===&lt;br /&gt;
* Danielle&lt;br /&gt;
&lt;br /&gt;
=== 2010-03-23 ===&lt;br /&gt;
* Chirayu&lt;br /&gt;
&lt;br /&gt;
=== 2010-03-30 ===&lt;br /&gt;
* Rosta&lt;br /&gt;
&lt;br /&gt;
=== 2010-04-06 ===&lt;br /&gt;
* Jae-wook -- paper presentation: adaptive navigation support and visualization&lt;br /&gt;
*# Lehmann, S., Schwanecke, U., and Dörner, R. (2010). Interactive visualization for opportunistic exploration of large document collections. Information Systems, 35(2):260-269. [http://www.citeulike.org/user/codex/article/6028409]&lt;br /&gt;
*# Kienreich, W., Sabol, V., Granitzer, M., Kappe, F., and Andrews, K. (2003). Infosky: A system for visual exploration of very large, hierarchically structured knowledge spaces. In Proceedings der GI Workshopwoche LLWA-Workshop der Fachgruppe FGWM (Fachgruppe Wissensmanagement) [http://www.citeulike.org/user/codex/article/6974943]&lt;br /&gt;
*# Andrews, K. (2006). Evaluating information visualisations. In Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization, page 5. ACM. [http://www.citeulike.org/user/codex/article/6974942]&lt;br /&gt;
* Slide: [[Media:Paws_2010spring_jahn.ppt|PPT]], [[Media:Paws_2010spring_jahn.pdf|PDF]]&lt;br /&gt;
&lt;br /&gt;
=== 2010-04-13 ===&lt;br /&gt;
* Shaghayegh&lt;br /&gt;
&lt;br /&gt;
== Archives ==&lt;br /&gt;
* [[Meeting Archives 2009 Fall| 2009 Fall]]&lt;br /&gt;
* [[Meeting Archives 2009 Spring| 2009 Spring]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=File:Paws_2010spring_jahn.ppt&amp;diff=1489</id>
		<title>File:Paws 2010spring jahn.ppt</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=File:Paws_2010spring_jahn.ppt&amp;diff=1489"/>
		<updated>2010-04-08T02:43:42Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=File:Paws_2010spring_jahn.pdf&amp;diff=1488</id>
		<title>File:Paws 2010spring jahn.pdf</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=File:Paws_2010spring_jahn.pdf&amp;diff=1488"/>
		<updated>2010-04-08T02:43:15Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Meetings&amp;diff=1487</id>
		<title>Meetings</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Meetings&amp;diff=1487"/>
		<updated>2010-04-08T02:38:59Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* 2010-04-06 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2010 Spring ==&lt;br /&gt;
'''Meeting Time:''' Tuesday 1.30pm-3pm&lt;br /&gt;
&amp;lt;br&amp;gt;'''Location:''' IS522&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== 2010-01-26 ===&lt;br /&gt;
* [[User:Myudelson|Michael Yudelson]] will present results of mining SQL Tutor dataset &lt;br /&gt;
* Chirayu Wongchokprasitti will give a practice talk for IUI workshop&lt;br /&gt;
&lt;br /&gt;
=== 2010-02-23 ===&lt;br /&gt;
*[[User:shoha99| Sharon Hsiao]] (Blogger [[User:Myudelson|Michael Yudelson]])&lt;br /&gt;
recent peer review papers overview &amp;amp; preliminary system presentation&lt;br /&gt;
&lt;br /&gt;
=== 2010-03-02 ===&lt;br /&gt;
* Yetunde Folajimi&lt;br /&gt;
&lt;br /&gt;
'''INTELLIGENT TUTORING INFRASTRUCTURE FOR PROFILING DETERMINISTIC WEB-BASED SCHOLARS'''&lt;br /&gt;
&lt;br /&gt;
'''Summary'''&lt;br /&gt;
&lt;br /&gt;
Web-based learning is an important paradigm for supporting flexible, constructive and innovative teaching and learning in a matured learning environment. It is important to demonstrate the prospective impacts of this technology in formal teaching as well as self-paced learning and assessments. As such, there is need for systems that can address concerns in web-based learning in such a manner as to imitate real life situations so as to deliver the values needed in the educational sector. This presentation is aimed at promoting a system that can encourage learners and teachers to work collaboratively towards the education reform by empowering teachers’ e-pedagogy competence and facilitating collaborative education at all levels. Architecture for Such Intelligent web based pedagogical system is subsequently discussed.&lt;br /&gt;
&lt;br /&gt;
'''Research problem'''&lt;br /&gt;
&lt;br /&gt;
# In what way can we can put together the pedagogical activities that can enhance teaching and learning beyond the barriers traditional classroom structure?&lt;br /&gt;
# What are the best models that can facilitate the school system into becoming a virtual community?&lt;br /&gt;
# How can we convert the pedagogical and administrative demands of educational system into technology-driven infrastructure&lt;br /&gt;
# How can the association between the teachers and learners  be classified in such a manner as to translate into a collaborative society?&lt;br /&gt;
&lt;br /&gt;
'''Methodology'''&lt;br /&gt;
&lt;br /&gt;
# Psycho-pedagogical focus&lt;br /&gt;
# Knowledge Engineering&lt;br /&gt;
# Expert system&lt;br /&gt;
# Artificial Intelligence&lt;br /&gt;
# Flexible Teaching Methodology&lt;br /&gt;
&lt;br /&gt;
'''Plan'''&lt;br /&gt;
&lt;br /&gt;
# Discover available infrastructure&lt;br /&gt;
# Discover methods for effective web-based ITS&lt;br /&gt;
# Build improved user model for Distance Education&lt;br /&gt;
# Research on minimizing overhead and maximizing productivity&lt;br /&gt;
# Apply ITS to distant Learning Programmes&lt;br /&gt;
&lt;br /&gt;
=== 2010-03-09 ===&lt;br /&gt;
* Spring break, no meeting&lt;br /&gt;
&lt;br /&gt;
=== 2010-03-16 ===&lt;br /&gt;
* Danielle&lt;br /&gt;
&lt;br /&gt;
=== 2010-03-23 ===&lt;br /&gt;
* Chirayu&lt;br /&gt;
&lt;br /&gt;
=== 2010-03-30 ===&lt;br /&gt;
* Rosta&lt;br /&gt;
&lt;br /&gt;
=== 2010-04-06 ===&lt;br /&gt;
* Jae-wook -- paper presentation: adaptive navigation support and visualization&lt;br /&gt;
*# Lehmann, S., Schwanecke, U., and Dörner, R. (2010). Interactive visualization for opportunistic exploration of large document collections. Information Systems, 35(2):260-269. [http://www.citeulike.org/user/codex/article/6028409]&lt;br /&gt;
*# Kienreich, W., Sabol, V., Granitzer, M., Kappe, F., and Andrews, K. (2003). Infosky: A system for visual exploration of very large, hierarchically structured knowledge spaces. In Proceedings der GI Workshopwoche LLWA-Workshop der Fachgruppe FGWM (Fachgruppe Wissensmanagement) [http://www.citeulike.org/user/codex/article/6974943]&lt;br /&gt;
*# Andrews, K. (2006). Evaluating information visualisations. In Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization, page 5. ACM. [http://www.citeulike.org/user/codex/article/6974942]&lt;br /&gt;
* Slide: PDF&lt;br /&gt;
&lt;br /&gt;
=== 2010-04-13 ===&lt;br /&gt;
* Shaghayegh&lt;br /&gt;
&lt;br /&gt;
== Archives ==&lt;br /&gt;
* [[Meeting Archives 2009 Fall| 2009 Fall]]&lt;br /&gt;
* [[Meeting Archives 2009 Spring| 2009 Spring]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=NameSieve&amp;diff=1417</id>
		<title>NameSieve</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=NameSieve&amp;diff=1417"/>
		<updated>2009-12-11T02:20:00Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* Publications */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;NameSieve news filtering series supports filtering by named entities. Even though the personalization is not supported yet, users are provided with the interface with which they can select important names extracted from the ad-hoc retrieval lists. By selecting some relevant names, they can post-filter the original retrieval lists and get the ones that only contain those names.&lt;br /&gt;
[[Image:NameSieve.png|frame|center|NameSieve system]]&lt;br /&gt;
&lt;br /&gt;
== Publications ==&lt;br /&gt;
&amp;lt;onlyinclude&amp;gt;&lt;br /&gt;
* Ahn, J., Brusilovsky, P., Grady, J., and He, D. '''Semantic Annotation Based Exploratory Search for Information Analysts'''. Submitted to Information Processing and Management, Special Issue on Semantic Annotations in Information Retrieval.&lt;br /&gt;
&amp;lt;/onlyinclude&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1416</id>
		<title>Adaptive VIBE</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1416"/>
		<updated>2009-12-11T02:19:20Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* Publications */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Adaptive VIBE is a variation of VIBE, a reference point-based spatial visualization algorithm.  It supports the visualization of user models as well as usual documents.  User model is displayed as a separate group of POIs (Points of Interests or reference points). Because it is located in distant positions from the query POIs, users can mediate visually between their explicit interests (queries) and the system estimated interests or search contents (user models).&lt;br /&gt;
 &lt;br /&gt;
[[Image:VisualTaskSieve.png|800px|center|Adaptive VIBE integrated into the TaskSieve system]]&lt;br /&gt;
&lt;br /&gt;
== Publications ==&lt;br /&gt;
&amp;lt;onlyinclude&amp;gt;&lt;br /&gt;
* Ahn, J., and Brusilovsky, P. (2009) '''Adaptive Visualization of Search Results: Bringing User Models to Visual Analytics'''. Information Visualization 8 (3), 167-179. &lt;br /&gt;
* Ahn, J., and Brusilovsky, P. (2007) '''From user query to user model and back: Adaptive relevance-based visualization for information foraging'''. In: T. Y. Lin, et al. (eds.) Proceedings of the 2007 international conference on Web Intelligence, WI '07, Silicon Valley, CA, USA, November 2-5, 2007, IEEE, pp. 706-712.&lt;br /&gt;
* Ahn, J.-w., Brusilovsky, P., and Sosnovsky, S. (2006) '''QuizVIBE: Accessing Educational Objects with Adaptive Relevance-Based Visualization'''. In: T. C. Reeves and S. F. Yamashita (eds.) Proceedings of World Conference on E-Learning, E-Learn 2006, Honolulu, HI, USA, October 13-17, 2006, AACE, pp. 2707-2714. &lt;br /&gt;
* Brusilovsky, P., Ahn, J., Dumitriu, T., and Yudelson, M. (2006) '''Adaptive knowledge-based visualization for accessing educational examples'''. In: B. Ebad, et al. (eds.) Proceedings of Information Visualization, London, UK, July 5-7, 2006, IEEE, pp. 142-147&lt;br /&gt;
&amp;lt;/onlyinclude&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1415</id>
		<title>Adaptive VIBE</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1415"/>
		<updated>2009-12-11T02:18:53Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* Publications */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Adaptive VIBE is a variation of VIBE, a reference point-based spatial visualization algorithm.  It supports the visualization of user models as well as usual documents.  User model is displayed as a separate group of POIs (Points of Interests or reference points). Because it is located in distant positions from the query POIs, users can mediate visually between their explicit interests (queries) and the system estimated interests or search contents (user models).&lt;br /&gt;
 &lt;br /&gt;
[[Image:VisualTaskSieve.png|800px|center|Adaptive VIBE integrated into the TaskSieve system]]&lt;br /&gt;
&lt;br /&gt;
== Publications ==&lt;br /&gt;
&amp;lt;onlyinclude&amp;gt;&lt;br /&gt;
* Ahn, J., and Brusilovsky, P. (2009) '''Adaptive Visualization of Search Results: Bringing User Models to Visual Analytics'''. Information Visualization 8 (3), 167-179. &lt;br /&gt;
* Ahn, J. and Brusilovsky, P. (2007) '''From user query to user model and back: Adaptive relevance-based visualization for information foraging'''. In: T. Y. Lin, et al. (eds.) Proceedings of the 2007 international conference on Web Intelligence, WI '07, Silicon Valley, CA, USA, November 2-5, 2007, IEEE, pp. 706-712.&lt;br /&gt;
* Ahn, J.-w., Brusilovsky, P., and Sosnovsky, S. (2006) '''QuizVIBE: Accessing Educational Objects with Adaptive Relevance-Based Visualization'''. In: T. C. Reeves and S. F. Yamashita (eds.) Proceedings of World Conference on E-Learning, E-Learn 2006, Honolulu, HI, USA, October 13-17, 2006, AACE, pp. 2707-2714. &lt;br /&gt;
* Brusilovsky, P., Ahn, J., Dumitriu, T., and Yudelson, M. (2006) '''Adaptive knowledge-based visualization for accessing educational examples'''. In: B. Ebad, et al. (eds.) Proceedings of Information Visualization, London, UK, July 5-7, 2006, IEEE, pp. 142-147&lt;br /&gt;
&amp;lt;/onlyinclude&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1414</id>
		<title>Adaptive VIBE</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1414"/>
		<updated>2009-12-11T02:17:42Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Adaptive VIBE is a variation of VIBE, a reference point-based spatial visualization algorithm.  It supports the visualization of user models as well as usual documents.  User model is displayed as a separate group of POIs (Points of Interests or reference points). Because it is located in distant positions from the query POIs, users can mediate visually between their explicit interests (queries) and the system estimated interests or search contents (user models).&lt;br /&gt;
 &lt;br /&gt;
[[Image:VisualTaskSieve.png|800px|center|Adaptive VIBE integrated into the TaskSieve system]]&lt;br /&gt;
&lt;br /&gt;
== Publications ==&lt;br /&gt;
&amp;lt;onlyinclude&amp;gt;&lt;br /&gt;
* Ahn, J., and Brusilovsky, P. '''Adaptive Visualization of Search Results: Bringing User Models to Visual Analytics'''. Accepted by Information Visualization, Special Issue on Human-Centered Information Visualization. &lt;br /&gt;
* Ahn, J. and Brusilovsky, P. (2007) '''From user query to user model and back: Adaptive relevance-based visualization for information foraging'''. In: T. Y. Lin, et al. (eds.) Proceedings of the 2007 international conference on Web Intelligence, WI '07, Silicon Valley, CA, USA, November 2-5, 2007, IEEE, pp. 706-712.&lt;br /&gt;
* Ahn, J.-w., Brusilovsky, P., and Sosnovsky, S. (2006) '''QuizVIBE: Accessing Educational Objects with Adaptive Relevance-Based Visualization'''. In: T. C. Reeves and S. F. Yamashita (eds.) Proceedings of World Conference on E-Learning, E-Learn 2006, Honolulu, HI, USA, October 13-17, 2006, AACE, pp. 2707-2714. &lt;br /&gt;
* Brusilovsky, P., Ahn, J., Dumitriu, T., and Yudelson, M. (2006) '''Adaptive knowledge-based visualization for accessing educational examples'''. In: B. Ebad, et al. (eds.) Proceedings of Information Visualization, London, UK, July 5-7, 2006, IEEE, pp. 142-147&lt;br /&gt;
&amp;lt;/onlyinclude&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=YourNews&amp;diff=1413</id>
		<title>YourNews</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=YourNews&amp;diff=1413"/>
		<updated>2009-12-11T02:17:04Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Image:YourNews.jpg|center|frame|YourNews system]]&lt;br /&gt;
&lt;br /&gt;
YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs. &lt;br /&gt;
&lt;br /&gt;
The personalization for different user interests are made by keeping track of the news articles they had read and storing the information to user models. For different scopes and topics, multiple user models are constructed and maintained, so that users can switch to different user models according to their needs. &lt;br /&gt;
&lt;br /&gt;
One of the core technologies of YourNews is the open user model, where the user models are also visible to users so that they can see what's going on under the hood and even control the contents of them.&lt;br /&gt;
&lt;br /&gt;
[[Image:Open_usermodel.jpg|center|frame|Open user model]]&lt;br /&gt;
&lt;br /&gt;
== Publications ==&lt;br /&gt;
&amp;lt;onlyinclude&amp;gt;&lt;br /&gt;
* Ahn, J., Brusilovsky, P., Grady, J., He, D., and Syn, S. Y. (2007) '''Open user profiles for adaptive news systems: help or harm?''' In: Proceedings of the 16th international conference on World Wide Web, WWW '07, Banff, Canada, May 8-12, 2007, ACM Press, pp. 11-20.&lt;br /&gt;
&amp;lt;/onlyinclude&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1412</id>
		<title>Adaptive VIBE</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1412"/>
		<updated>2009-12-11T02:16:25Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Adaptive VIBE is a variation of VIBE, a reference point-based spatial visualization algorithm.  It supports the visualization of user models as well as usual documents.  User model is displayed as a separate group of POIs (Points of Interests or reference points). Because it is located in distant positions from the query POIs, users can mediate visually between their explicit interests (queries) and the system estimated interests or search contents (user models).&lt;br /&gt;
 &lt;br /&gt;
[[Image:VisualTaskSieve.png|800px|center|Adaptive VIBE integrated into the TaskSieve system]]&lt;br /&gt;
&lt;br /&gt;
== Publications ==&lt;br /&gt;
&amp;lt;/onlyinclude&amp;gt;&lt;br /&gt;
* Ahn, J., and Brusilovsky, P. '''Adaptive Visualization of Search Results: Bringing User Models to Visual Analytics'''. Accepted by Information Visualization, Special Issue on Human-Centered Information Visualization. &lt;br /&gt;
* Ahn, J. and Brusilovsky, P. (2007) '''From user query to user model and back: Adaptive relevance-based visualization for information foraging'''. In: T. Y. Lin, et al. (eds.) Proceedings of the 2007 international conference on Web Intelligence, WI '07, Silicon Valley, CA, USA, November 2-5, 2007, IEEE, pp. 706-712.&lt;br /&gt;
* Ahn, J.-w., Brusilovsky, P., and Sosnovsky, S. (2006) '''QuizVIBE: Accessing Educational Objects with Adaptive Relevance-Based Visualization'''. In: T. C. Reeves and S. F. Yamashita (eds.) Proceedings of World Conference on E-Learning, E-Learn 2006, Honolulu, HI, USA, October 13-17, 2006, AACE, pp. 2707-2714. &lt;br /&gt;
* Brusilovsky, P., Ahn, J., Dumitriu, T., and Yudelson, M. (2006) '''Adaptive knowledge-based visualization for accessing educational examples'''. In: B. Ebad, et al. (eds.) Proceedings of Information Visualization, London, UK, July 5-7, 2006, IEEE, pp. 142-147&lt;br /&gt;
&amp;lt;/onlyinclude&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=NameSieve&amp;diff=1411</id>
		<title>NameSieve</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=NameSieve&amp;diff=1411"/>
		<updated>2009-12-11T02:15:57Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;NameSieve news filtering series supports filtering by named entities. Even though the personalization is not supported yet, users are provided with the interface with which they can select important names extracted from the ad-hoc retrieval lists. By selecting some relevant names, they can post-filter the original retrieval lists and get the ones that only contain those names.&lt;br /&gt;
[[Image:NameSieve.png|frame|center|NameSieve system]]&lt;br /&gt;
&lt;br /&gt;
== Publications ==&lt;br /&gt;
&amp;lt;onlyinclude&amp;gt;&lt;br /&gt;
* Ahn, J., Brusilovsky, P., Grady, J., and He, D. '''Semantic Annotation Based Exploratory Search for Information Analysts'''. Submitted to Information Processing and Management, Special Issue on Semantic Annotations in Information Retrieval.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/onlyinclude&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Publications&amp;diff=1410</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Publications&amp;diff=1410"/>
		<updated>2009-12-11T02:15:13Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* YourNews */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;===ADVISE===&lt;br /&gt;
{{:Adaptive_VIBE}}&lt;br /&gt;
&lt;br /&gt;
===AnnotEx===&lt;br /&gt;
* Hsiao, I. and Brusilvsky, P. T'''he Role of Community Feedback in the Student Example Authoring Process: an Evaluation of AnnotEx''', British Journal of Educational Technology (accepted)&lt;br /&gt;
* Hsiao, I. &amp;amp; Brusilovsky. P. (2008). '''Modeling Peer Review in Example Annotation'''. ICCE, The 16th International Conference on Computers in Education, Taipei, Taiwan, October 27- 31, 2008, ICCE&lt;br /&gt;
* Brusilovsky, P., Hsiao, I. &amp;amp; Yuldelson, M. (2008) '''Annotated Program Examples as First Class Objects in an Educational Digital Library''', JCDL 2008 [http://doi.acm.org/10.1145/1378889.1378946 DOI]&lt;br /&gt;
* Hsiao, I. &amp;amp; Brusilovsky, P. (2007) '''Collaborative Example Authoring System: The Value of Re-annotation based on Community Feedback''',In: J. Nall and R. Robson (eds.) Proceedings of World Conference on E-Learning, E-Learn 2007,Quebec City, Canada, October 15-19, 2007, AACE&lt;br /&gt;
&lt;br /&gt;
===ASSIST===&lt;br /&gt;
* Freyne, J., Farzan, R., and Coyle, M. (2007). Toward the exploitation of social access patterns for recommendation. RecSys 2007.&lt;br /&gt;
* Farzan, R., Coyle, M., Freyne, J., Brusilovsky, P., and Smyth, P. (2007). ASSIST: Adaptive Social Support for Information Space Traversal. Hypertext 2007.&lt;br /&gt;
* Freyne J., Farzan R., Brusilovsky P., Smyth B., and Coyle M. (2007). Collecting Community Wisdom: Integrating Social Search &amp;amp; Social Navigation. In Proceedings of International Conference on Intelligent User Interfaces&lt;br /&gt;
&lt;br /&gt;
===Conference Navigator===&lt;br /&gt;
* Farzan R., and Brusilovsky P. Where did the Researchers Go? Supporting Social Navigation at a Large Academic Conference. Hypertext 2008.&lt;br /&gt;
&lt;br /&gt;
===[[CourseAgent]]===&lt;br /&gt;
*Farzan R. &amp;amp; Brusilovsky P. (2006). Social Navigation Support in a Course Recommendation System. In proceedings of 4th International Conference on Adaptive Hypermedia and Adaptive Web-based Systems.&lt;br /&gt;
&lt;br /&gt;
===[[CUMULATE]]===&lt;br /&gt;
{{:CUMULATE}}&lt;br /&gt;
&lt;br /&gt;
===[[Knowledge Sea II]] and [[AnnotatEd]]===&lt;br /&gt;
* Farzan, R. and Brusilovsky P. (2008). AnnotatEd: A Social Navigation and Annotation Service for Web-based Educational Resources. Journal of the New Review of Hypermedia and Multimedia (NRHM)&lt;br /&gt;
* Ahn, J., Farzan, R., and Brusilovsky, P. (2006) Social Search in the Context of Social Navigation. Journal of the Korean Society for Information Management 23(2):147-165.&lt;br /&gt;
* Bateman S., Farzan R., Brusilovsky P., and McCalla G. (2006) OATS: The Open Annotation and Tagging System. In Proceedings 3rd annual e-learning conference on Intelligent Interactive Learning Object Repositories&lt;br /&gt;
* Farzan R. &amp;amp; Brusilovsky P. (2006). AnnotatEd: A Social Navigation and Annotation Service for Web-based Educational Resources. In Proceedings of E-Learn 2006--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education.Winner of outstanding paper award.  &lt;br /&gt;
* Mertens R., Farzan R.,and Brusilovsky P. (2006) Social Navigation in Web Lectures. In proceedings of Seventeenth ACM Conference on Hypertext and Hypermedia(short paper).&lt;br /&gt;
* Farzan, R. &amp;amp; Brusilovsky P. (2005). Social Navigation Support through Annotation-Based Group Modeling.  In proceedings of 10th International Conference on User Modeling.&lt;br /&gt;
* Brusilovsky P., Farzan R. &amp;amp; Ahn J. (2005). Comprehensive Personalized Information Access in an Educational Digital Library. In proceedings of Joint Conference on Digital Libraries.&lt;br /&gt;
* Brusilovsky, P., Chavan, G., Farzan, R. (2004). Social Adaptive Navigation Support for Open Corpus Electronic Textbooks  - In: P.De Bra (ed.) Proceedings of the Third International Conference on Adaptive Hypermedia and Adaptive Web-based Systems (AH'2004), Eindhoven, the Netherlands&lt;br /&gt;
&lt;br /&gt;
===[[NameSieve]]===&lt;br /&gt;
{{:NameSieve}}&lt;br /&gt;
&lt;br /&gt;
===[[PittCult]]===&lt;br /&gt;
* Lee, D. H. (2008) PITTCULT: Trust-based Cultural Event Recommender, Proceedings of Doctoral Symposium on the 2nd ACM International Conference on Recommender Systems, Lausanne, Switzerland, October 23 ~ 25, 2008 &lt;br /&gt;
* Lee, D. H. (2008) PITTCULT: Recommender System using Trusted Human Network, Student Research Competition in Hypertext 2008, Pittsburgh PA., USA, June 19 ~ 21, 2008, Third Prize Winner of ACM Student Research Competition in Hypertext 2008 &amp;amp; Finalist for the Grand Prize of ACM SRC sponsored by Microsoft Research [http://pittcult.sis.pitt.edu/help.jsp Presentation], [http://www.sigweb.org/ht08/srcposters/lee.pdf pdf]&lt;br /&gt;
&lt;br /&gt;
===[[Proactive]]===&lt;br /&gt;
* Lee, D. H. &amp;amp; Brusilovsky, P. (2007) Fighting Information Overflow with Personalized Comprehensive Information Access: A Proactive Job Recommender, Proceedings of the Third International Conference on Autonomic and Autonomous Systems (ICAS '07), Athens, Greece, June 19 ~ 25, 2007 &lt;br /&gt;
* Lee, D. H. &amp;amp; Brusilovsky, P. (In progress) Proactive: Comprehensive Access of Job Information&lt;br /&gt;
&lt;br /&gt;
===[[QuizJET]]===&lt;br /&gt;
* Hsiao, I., Brusilovsky, P. &amp;amp; Sosnovsky, S. (2008). '''Web-based Parameterized Questions for Object-Oriented Programming'''. Proceedings of World Conference on E-Learning, E-Learn 2008,Las Vegas, USA, November 17-21, 2008, p. 3728-3735.&lt;br /&gt;
* Hsiao, I., Sosnovsky, S and Brusilovsky, P. (2009). '''Extending Parameterized Problem-Tracing Questions for Java with Personalized Guidance'''. Proceedings of 14th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE'2009, Paris, France, July 3-8, 2009, ACM Press, pp.392-392 [http://doi.acm.org/10.1145/1595496.1563034 DOI]&lt;br /&gt;
* Hsiao, I., Sosnovsky, S and Brusilovsky, P. (2009). '''Adaptive Navigation Support for Parameterized Questions in Object-Oriented Programming'''. In: Proceedings of 4th European Conference on Technology Enhanced Education (ECTEL), ECTEL 2009, Nice, France, September 29th - October 2nd, 2009, Springer-Verlag, pp.88-98 [http://dx.doi.org/10.1007/978-3-642-04636-0_10 DOI]&lt;br /&gt;
* Hsiao, I., Sosnovsky,S. and Brusilvsky, P.''' Guiding Students to the Right Questions: Adaptive Navigation Support in an E-learning System for Java Programming''', Journal of Computer Assisted Learning (accepted)&lt;br /&gt;
&lt;br /&gt;
===[[TaskSieve]]===&lt;br /&gt;
{{:TaskSieve}}&lt;br /&gt;
&lt;br /&gt;
===[[YourNews]]===&lt;br /&gt;
{{:YourNews}}&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Publications&amp;diff=1409</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Publications&amp;diff=1409"/>
		<updated>2009-12-11T02:14:52Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* ADVISE */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;===ADVISE===&lt;br /&gt;
{{:Adaptive_VIBE}}&lt;br /&gt;
&lt;br /&gt;
===AnnotEx===&lt;br /&gt;
* Hsiao, I. and Brusilvsky, P. T'''he Role of Community Feedback in the Student Example Authoring Process: an Evaluation of AnnotEx''', British Journal of Educational Technology (accepted)&lt;br /&gt;
* Hsiao, I. &amp;amp; Brusilovsky. P. (2008). '''Modeling Peer Review in Example Annotation'''. ICCE, The 16th International Conference on Computers in Education, Taipei, Taiwan, October 27- 31, 2008, ICCE&lt;br /&gt;
* Brusilovsky, P., Hsiao, I. &amp;amp; Yuldelson, M. (2008) '''Annotated Program Examples as First Class Objects in an Educational Digital Library''', JCDL 2008 [http://doi.acm.org/10.1145/1378889.1378946 DOI]&lt;br /&gt;
* Hsiao, I. &amp;amp; Brusilovsky, P. (2007) '''Collaborative Example Authoring System: The Value of Re-annotation based on Community Feedback''',In: J. Nall and R. Robson (eds.) Proceedings of World Conference on E-Learning, E-Learn 2007,Quebec City, Canada, October 15-19, 2007, AACE&lt;br /&gt;
&lt;br /&gt;
===ASSIST===&lt;br /&gt;
* Freyne, J., Farzan, R., and Coyle, M. (2007). Toward the exploitation of social access patterns for recommendation. RecSys 2007.&lt;br /&gt;
* Farzan, R., Coyle, M., Freyne, J., Brusilovsky, P., and Smyth, P. (2007). ASSIST: Adaptive Social Support for Information Space Traversal. Hypertext 2007.&lt;br /&gt;
* Freyne J., Farzan R., Brusilovsky P., Smyth B., and Coyle M. (2007). Collecting Community Wisdom: Integrating Social Search &amp;amp; Social Navigation. In Proceedings of International Conference on Intelligent User Interfaces&lt;br /&gt;
&lt;br /&gt;
===Conference Navigator===&lt;br /&gt;
* Farzan R., and Brusilovsky P. Where did the Researchers Go? Supporting Social Navigation at a Large Academic Conference. Hypertext 2008.&lt;br /&gt;
&lt;br /&gt;
===[[CourseAgent]]===&lt;br /&gt;
*Farzan R. &amp;amp; Brusilovsky P. (2006). Social Navigation Support in a Course Recommendation System. In proceedings of 4th International Conference on Adaptive Hypermedia and Adaptive Web-based Systems.&lt;br /&gt;
&lt;br /&gt;
===[[CUMULATE]]===&lt;br /&gt;
{{:CUMULATE}}&lt;br /&gt;
&lt;br /&gt;
===[[Knowledge Sea II]] and [[AnnotatEd]]===&lt;br /&gt;
* Farzan, R. and Brusilovsky P. (2008). AnnotatEd: A Social Navigation and Annotation Service for Web-based Educational Resources. Journal of the New Review of Hypermedia and Multimedia (NRHM)&lt;br /&gt;
* Ahn, J., Farzan, R., and Brusilovsky, P. (2006) Social Search in the Context of Social Navigation. Journal of the Korean Society for Information Management 23(2):147-165.&lt;br /&gt;
* Bateman S., Farzan R., Brusilovsky P., and McCalla G. (2006) OATS: The Open Annotation and Tagging System. In Proceedings 3rd annual e-learning conference on Intelligent Interactive Learning Object Repositories&lt;br /&gt;
* Farzan R. &amp;amp; Brusilovsky P. (2006). AnnotatEd: A Social Navigation and Annotation Service for Web-based Educational Resources. In Proceedings of E-Learn 2006--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education.Winner of outstanding paper award.  &lt;br /&gt;
* Mertens R., Farzan R.,and Brusilovsky P. (2006) Social Navigation in Web Lectures. In proceedings of Seventeenth ACM Conference on Hypertext and Hypermedia(short paper).&lt;br /&gt;
* Farzan, R. &amp;amp; Brusilovsky P. (2005). Social Navigation Support through Annotation-Based Group Modeling.  In proceedings of 10th International Conference on User Modeling.&lt;br /&gt;
* Brusilovsky P., Farzan R. &amp;amp; Ahn J. (2005). Comprehensive Personalized Information Access in an Educational Digital Library. In proceedings of Joint Conference on Digital Libraries.&lt;br /&gt;
* Brusilovsky, P., Chavan, G., Farzan, R. (2004). Social Adaptive Navigation Support for Open Corpus Electronic Textbooks  - In: P.De Bra (ed.) Proceedings of the Third International Conference on Adaptive Hypermedia and Adaptive Web-based Systems (AH'2004), Eindhoven, the Netherlands&lt;br /&gt;
&lt;br /&gt;
===[[NameSieve]]===&lt;br /&gt;
{{:NameSieve}}&lt;br /&gt;
&lt;br /&gt;
===[[PittCult]]===&lt;br /&gt;
* Lee, D. H. (2008) PITTCULT: Trust-based Cultural Event Recommender, Proceedings of Doctoral Symposium on the 2nd ACM International Conference on Recommender Systems, Lausanne, Switzerland, October 23 ~ 25, 2008 &lt;br /&gt;
* Lee, D. H. (2008) PITTCULT: Recommender System using Trusted Human Network, Student Research Competition in Hypertext 2008, Pittsburgh PA., USA, June 19 ~ 21, 2008, Third Prize Winner of ACM Student Research Competition in Hypertext 2008 &amp;amp; Finalist for the Grand Prize of ACM SRC sponsored by Microsoft Research [http://pittcult.sis.pitt.edu/help.jsp Presentation], [http://www.sigweb.org/ht08/srcposters/lee.pdf pdf]&lt;br /&gt;
&lt;br /&gt;
===[[Proactive]]===&lt;br /&gt;
* Lee, D. H. &amp;amp; Brusilovsky, P. (2007) Fighting Information Overflow with Personalized Comprehensive Information Access: A Proactive Job Recommender, Proceedings of the Third International Conference on Autonomic and Autonomous Systems (ICAS '07), Athens, Greece, June 19 ~ 25, 2007 &lt;br /&gt;
* Lee, D. H. &amp;amp; Brusilovsky, P. (In progress) Proactive: Comprehensive Access of Job Information&lt;br /&gt;
&lt;br /&gt;
===[[QuizJET]]===&lt;br /&gt;
* Hsiao, I., Brusilovsky, P. &amp;amp; Sosnovsky, S. (2008). '''Web-based Parameterized Questions for Object-Oriented Programming'''. Proceedings of World Conference on E-Learning, E-Learn 2008,Las Vegas, USA, November 17-21, 2008, p. 3728-3735.&lt;br /&gt;
* Hsiao, I., Sosnovsky, S and Brusilovsky, P. (2009). '''Extending Parameterized Problem-Tracing Questions for Java with Personalized Guidance'''. Proceedings of 14th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE'2009, Paris, France, July 3-8, 2009, ACM Press, pp.392-392 [http://doi.acm.org/10.1145/1595496.1563034 DOI]&lt;br /&gt;
* Hsiao, I., Sosnovsky, S and Brusilovsky, P. (2009). '''Adaptive Navigation Support for Parameterized Questions in Object-Oriented Programming'''. In: Proceedings of 4th European Conference on Technology Enhanced Education (ECTEL), ECTEL 2009, Nice, France, September 29th - October 2nd, 2009, Springer-Verlag, pp.88-98 [http://dx.doi.org/10.1007/978-3-642-04636-0_10 DOI]&lt;br /&gt;
* Hsiao, I., Sosnovsky,S. and Brusilvsky, P.''' Guiding Students to the Right Questions: Adaptive Navigation Support in an E-learning System for Java Programming''', Journal of Computer Assisted Learning (accepted)&lt;br /&gt;
&lt;br /&gt;
===[[TaskSieve]]===&lt;br /&gt;
{{:TaskSieve}}&lt;br /&gt;
&lt;br /&gt;
===[[YourNews]]===&lt;br /&gt;
* Ahn, J., Brusilovsky, P., Grady, J., He, D., and Syn, S. Y. (2007) '''Open user profiles for adaptive news systems: help or harm?''' In: Proceedings of the 16th international conference on World Wide Web, WWW '07, Banff, Canada, May 8-12, 2007, ACM Press, pp. 11-20.&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Publications&amp;diff=1408</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Publications&amp;diff=1408"/>
		<updated>2009-12-11T02:14:00Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* NameSieve */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;===ADVISE===&lt;br /&gt;
* Ahn, J., and Brusilovsky, P. '''Adaptive Visualization of Search Results: Bringing User Models to Visual Analytics'''. Accepted by Information Visualization, Special Issue on Human-Centered Information Visualization. &lt;br /&gt;
* Ahn, J. and Brusilovsky, P. (2007) '''From user query to user model and back: Adaptive relevance-based visualization for information foraging'''. In: T. Y. Lin, et al. (eds.) Proceedings of the 2007 international conference on Web Intelligence, WI '07, Silicon Valley, CA, USA, November 2-5, 2007, IEEE, pp. 706-712.&lt;br /&gt;
* Ahn, J.-w., Brusilovsky, P., and Sosnovsky, S. (2006) '''QuizVIBE: Accessing Educational Objects with Adaptive Relevance-Based Visualization'''. In: T. C. Reeves and S. F. Yamashita (eds.) Proceedings of World Conference on E-Learning, E-Learn 2006, Honolulu, HI, USA, October 13-17, 2006, AACE, pp. 2707-2714. &lt;br /&gt;
* Brusilovsky, P., Ahn, J., Dumitriu, T., and Yudelson, M. (2006) '''Adaptive knowledge-based visualization for accessing educational examples'''. In: B. Ebad, et al. (eds.) Proceedings of Information Visualization, London, UK, July 5-7, 2006, IEEE, pp. 142-147&lt;br /&gt;
&lt;br /&gt;
===AnnotEx===&lt;br /&gt;
* Hsiao, I. and Brusilvsky, P. T'''he Role of Community Feedback in the Student Example Authoring Process: an Evaluation of AnnotEx''', British Journal of Educational Technology (accepted)&lt;br /&gt;
* Hsiao, I. &amp;amp; Brusilovsky. P. (2008). '''Modeling Peer Review in Example Annotation'''. ICCE, The 16th International Conference on Computers in Education, Taipei, Taiwan, October 27- 31, 2008, ICCE&lt;br /&gt;
* Brusilovsky, P., Hsiao, I. &amp;amp; Yuldelson, M. (2008) '''Annotated Program Examples as First Class Objects in an Educational Digital Library''', JCDL 2008 [http://doi.acm.org/10.1145/1378889.1378946 DOI]&lt;br /&gt;
* Hsiao, I. &amp;amp; Brusilovsky, P. (2007) '''Collaborative Example Authoring System: The Value of Re-annotation based on Community Feedback''',In: J. Nall and R. Robson (eds.) Proceedings of World Conference on E-Learning, E-Learn 2007,Quebec City, Canada, October 15-19, 2007, AACE&lt;br /&gt;
&lt;br /&gt;
===ASSIST===&lt;br /&gt;
* Freyne, J., Farzan, R., and Coyle, M. (2007). Toward the exploitation of social access patterns for recommendation. RecSys 2007.&lt;br /&gt;
* Farzan, R., Coyle, M., Freyne, J., Brusilovsky, P., and Smyth, P. (2007). ASSIST: Adaptive Social Support for Information Space Traversal. Hypertext 2007.&lt;br /&gt;
* Freyne J., Farzan R., Brusilovsky P., Smyth B., and Coyle M. (2007). Collecting Community Wisdom: Integrating Social Search &amp;amp; Social Navigation. In Proceedings of International Conference on Intelligent User Interfaces&lt;br /&gt;
&lt;br /&gt;
===Conference Navigator===&lt;br /&gt;
* Farzan R., and Brusilovsky P. Where did the Researchers Go? Supporting Social Navigation at a Large Academic Conference. Hypertext 2008.&lt;br /&gt;
&lt;br /&gt;
===[[CourseAgent]]===&lt;br /&gt;
*Farzan R. &amp;amp; Brusilovsky P. (2006). Social Navigation Support in a Course Recommendation System. In proceedings of 4th International Conference on Adaptive Hypermedia and Adaptive Web-based Systems.&lt;br /&gt;
&lt;br /&gt;
===[[CUMULATE]]===&lt;br /&gt;
{{:CUMULATE}}&lt;br /&gt;
&lt;br /&gt;
===[[Knowledge Sea II]] and [[AnnotatEd]]===&lt;br /&gt;
* Farzan, R. and Brusilovsky P. (2008). AnnotatEd: A Social Navigation and Annotation Service for Web-based Educational Resources. Journal of the New Review of Hypermedia and Multimedia (NRHM)&lt;br /&gt;
* Ahn, J., Farzan, R., and Brusilovsky, P. (2006) Social Search in the Context of Social Navigation. Journal of the Korean Society for Information Management 23(2):147-165.&lt;br /&gt;
* Bateman S., Farzan R., Brusilovsky P., and McCalla G. (2006) OATS: The Open Annotation and Tagging System. In Proceedings 3rd annual e-learning conference on Intelligent Interactive Learning Object Repositories&lt;br /&gt;
* Farzan R. &amp;amp; Brusilovsky P. (2006). AnnotatEd: A Social Navigation and Annotation Service for Web-based Educational Resources. In Proceedings of E-Learn 2006--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education.Winner of outstanding paper award.  &lt;br /&gt;
* Mertens R., Farzan R.,and Brusilovsky P. (2006) Social Navigation in Web Lectures. In proceedings of Seventeenth ACM Conference on Hypertext and Hypermedia(short paper).&lt;br /&gt;
* Farzan, R. &amp;amp; Brusilovsky P. (2005). Social Navigation Support through Annotation-Based Group Modeling.  In proceedings of 10th International Conference on User Modeling.&lt;br /&gt;
* Brusilovsky P., Farzan R. &amp;amp; Ahn J. (2005). Comprehensive Personalized Information Access in an Educational Digital Library. In proceedings of Joint Conference on Digital Libraries.&lt;br /&gt;
* Brusilovsky, P., Chavan, G., Farzan, R. (2004). Social Adaptive Navigation Support for Open Corpus Electronic Textbooks  - In: P.De Bra (ed.) Proceedings of the Third International Conference on Adaptive Hypermedia and Adaptive Web-based Systems (AH'2004), Eindhoven, the Netherlands&lt;br /&gt;
&lt;br /&gt;
===[[NameSieve]]===&lt;br /&gt;
{{:NameSieve}}&lt;br /&gt;
&lt;br /&gt;
===[[PittCult]]===&lt;br /&gt;
* Lee, D. H. (2008) PITTCULT: Trust-based Cultural Event Recommender, Proceedings of Doctoral Symposium on the 2nd ACM International Conference on Recommender Systems, Lausanne, Switzerland, October 23 ~ 25, 2008 &lt;br /&gt;
* Lee, D. H. (2008) PITTCULT: Recommender System using Trusted Human Network, Student Research Competition in Hypertext 2008, Pittsburgh PA., USA, June 19 ~ 21, 2008, Third Prize Winner of ACM Student Research Competition in Hypertext 2008 &amp;amp; Finalist for the Grand Prize of ACM SRC sponsored by Microsoft Research [http://pittcult.sis.pitt.edu/help.jsp Presentation], [http://www.sigweb.org/ht08/srcposters/lee.pdf pdf]&lt;br /&gt;
&lt;br /&gt;
===[[Proactive]]===&lt;br /&gt;
* Lee, D. H. &amp;amp; Brusilovsky, P. (2007) Fighting Information Overflow with Personalized Comprehensive Information Access: A Proactive Job Recommender, Proceedings of the Third International Conference on Autonomic and Autonomous Systems (ICAS '07), Athens, Greece, June 19 ~ 25, 2007 &lt;br /&gt;
* Lee, D. H. &amp;amp; Brusilovsky, P. (In progress) Proactive: Comprehensive Access of Job Information&lt;br /&gt;
&lt;br /&gt;
===[[QuizJET]]===&lt;br /&gt;
* Hsiao, I., Brusilovsky, P. &amp;amp; Sosnovsky, S. (2008). '''Web-based Parameterized Questions for Object-Oriented Programming'''. Proceedings of World Conference on E-Learning, E-Learn 2008,Las Vegas, USA, November 17-21, 2008, p. 3728-3735.&lt;br /&gt;
* Hsiao, I., Sosnovsky, S and Brusilovsky, P. (2009). '''Extending Parameterized Problem-Tracing Questions for Java with Personalized Guidance'''. Proceedings of 14th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE'2009, Paris, France, July 3-8, 2009, ACM Press, pp.392-392 [http://doi.acm.org/10.1145/1595496.1563034 DOI]&lt;br /&gt;
* Hsiao, I., Sosnovsky, S and Brusilovsky, P. (2009). '''Adaptive Navigation Support for Parameterized Questions in Object-Oriented Programming'''. In: Proceedings of 4th European Conference on Technology Enhanced Education (ECTEL), ECTEL 2009, Nice, France, September 29th - October 2nd, 2009, Springer-Verlag, pp.88-98 [http://dx.doi.org/10.1007/978-3-642-04636-0_10 DOI]&lt;br /&gt;
* Hsiao, I., Sosnovsky,S. and Brusilvsky, P.''' Guiding Students to the Right Questions: Adaptive Navigation Support in an E-learning System for Java Programming''', Journal of Computer Assisted Learning (accepted)&lt;br /&gt;
&lt;br /&gt;
===[[TaskSieve]]===&lt;br /&gt;
{{:TaskSieve}}&lt;br /&gt;
&lt;br /&gt;
===[[YourNews]]===&lt;br /&gt;
* Ahn, J., Brusilovsky, P., Grady, J., He, D., and Syn, S. Y. (2007) '''Open user profiles for adaptive news systems: help or harm?''' In: Proceedings of the 16th international conference on World Wide Web, WWW '07, Banff, Canada, May 8-12, 2007, ACM Press, pp. 11-20.&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Publications&amp;diff=1407</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Publications&amp;diff=1407"/>
		<updated>2009-12-11T02:13:20Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* TaskSieve */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;===ADVISE===&lt;br /&gt;
* Ahn, J., and Brusilovsky, P. '''Adaptive Visualization of Search Results: Bringing User Models to Visual Analytics'''. Accepted by Information Visualization, Special Issue on Human-Centered Information Visualization. &lt;br /&gt;
* Ahn, J. and Brusilovsky, P. (2007) '''From user query to user model and back: Adaptive relevance-based visualization for information foraging'''. In: T. Y. Lin, et al. (eds.) Proceedings of the 2007 international conference on Web Intelligence, WI '07, Silicon Valley, CA, USA, November 2-5, 2007, IEEE, pp. 706-712.&lt;br /&gt;
* Ahn, J.-w., Brusilovsky, P., and Sosnovsky, S. (2006) '''QuizVIBE: Accessing Educational Objects with Adaptive Relevance-Based Visualization'''. In: T. C. Reeves and S. F. Yamashita (eds.) Proceedings of World Conference on E-Learning, E-Learn 2006, Honolulu, HI, USA, October 13-17, 2006, AACE, pp. 2707-2714. &lt;br /&gt;
* Brusilovsky, P., Ahn, J., Dumitriu, T., and Yudelson, M. (2006) '''Adaptive knowledge-based visualization for accessing educational examples'''. In: B. Ebad, et al. (eds.) Proceedings of Information Visualization, London, UK, July 5-7, 2006, IEEE, pp. 142-147&lt;br /&gt;
&lt;br /&gt;
===AnnotEx===&lt;br /&gt;
* Hsiao, I. and Brusilvsky, P. T'''he Role of Community Feedback in the Student Example Authoring Process: an Evaluation of AnnotEx''', British Journal of Educational Technology (accepted)&lt;br /&gt;
* Hsiao, I. &amp;amp; Brusilovsky. P. (2008). '''Modeling Peer Review in Example Annotation'''. ICCE, The 16th International Conference on Computers in Education, Taipei, Taiwan, October 27- 31, 2008, ICCE&lt;br /&gt;
* Brusilovsky, P., Hsiao, I. &amp;amp; Yuldelson, M. (2008) '''Annotated Program Examples as First Class Objects in an Educational Digital Library''', JCDL 2008 [http://doi.acm.org/10.1145/1378889.1378946 DOI]&lt;br /&gt;
* Hsiao, I. &amp;amp; Brusilovsky, P. (2007) '''Collaborative Example Authoring System: The Value of Re-annotation based on Community Feedback''',In: J. Nall and R. Robson (eds.) Proceedings of World Conference on E-Learning, E-Learn 2007,Quebec City, Canada, October 15-19, 2007, AACE&lt;br /&gt;
&lt;br /&gt;
===ASSIST===&lt;br /&gt;
* Freyne, J., Farzan, R., and Coyle, M. (2007). Toward the exploitation of social access patterns for recommendation. RecSys 2007.&lt;br /&gt;
* Farzan, R., Coyle, M., Freyne, J., Brusilovsky, P., and Smyth, P. (2007). ASSIST: Adaptive Social Support for Information Space Traversal. Hypertext 2007.&lt;br /&gt;
* Freyne J., Farzan R., Brusilovsky P., Smyth B., and Coyle M. (2007). Collecting Community Wisdom: Integrating Social Search &amp;amp; Social Navigation. In Proceedings of International Conference on Intelligent User Interfaces&lt;br /&gt;
&lt;br /&gt;
===Conference Navigator===&lt;br /&gt;
* Farzan R., and Brusilovsky P. Where did the Researchers Go? Supporting Social Navigation at a Large Academic Conference. Hypertext 2008.&lt;br /&gt;
&lt;br /&gt;
===[[CourseAgent]]===&lt;br /&gt;
*Farzan R. &amp;amp; Brusilovsky P. (2006). Social Navigation Support in a Course Recommendation System. In proceedings of 4th International Conference on Adaptive Hypermedia and Adaptive Web-based Systems.&lt;br /&gt;
&lt;br /&gt;
===[[CUMULATE]]===&lt;br /&gt;
{{:CUMULATE}}&lt;br /&gt;
&lt;br /&gt;
===[[Knowledge Sea II]] and [[AnnotatEd]]===&lt;br /&gt;
* Farzan, R. and Brusilovsky P. (2008). AnnotatEd: A Social Navigation and Annotation Service for Web-based Educational Resources. Journal of the New Review of Hypermedia and Multimedia (NRHM)&lt;br /&gt;
* Ahn, J., Farzan, R., and Brusilovsky, P. (2006) Social Search in the Context of Social Navigation. Journal of the Korean Society for Information Management 23(2):147-165.&lt;br /&gt;
* Bateman S., Farzan R., Brusilovsky P., and McCalla G. (2006) OATS: The Open Annotation and Tagging System. In Proceedings 3rd annual e-learning conference on Intelligent Interactive Learning Object Repositories&lt;br /&gt;
* Farzan R. &amp;amp; Brusilovsky P. (2006). AnnotatEd: A Social Navigation and Annotation Service for Web-based Educational Resources. In Proceedings of E-Learn 2006--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education.Winner of outstanding paper award.  &lt;br /&gt;
* Mertens R., Farzan R.,and Brusilovsky P. (2006) Social Navigation in Web Lectures. In proceedings of Seventeenth ACM Conference on Hypertext and Hypermedia(short paper).&lt;br /&gt;
* Farzan, R. &amp;amp; Brusilovsky P. (2005). Social Navigation Support through Annotation-Based Group Modeling.  In proceedings of 10th International Conference on User Modeling.&lt;br /&gt;
* Brusilovsky P., Farzan R. &amp;amp; Ahn J. (2005). Comprehensive Personalized Information Access in an Educational Digital Library. In proceedings of Joint Conference on Digital Libraries.&lt;br /&gt;
* Brusilovsky, P., Chavan, G., Farzan, R. (2004). Social Adaptive Navigation Support for Open Corpus Electronic Textbooks  - In: P.De Bra (ed.) Proceedings of the Third International Conference on Adaptive Hypermedia and Adaptive Web-based Systems (AH'2004), Eindhoven, the Netherlands&lt;br /&gt;
&lt;br /&gt;
===[[NameSieve]]===&lt;br /&gt;
* Ahn, J., Brusilovsky, P., Grady, J., and He, D. '''Semantic Annotation Based Exploratory Search for Information Analysts'''. Submitted to Information Processing and Management, Special Issue on Semantic Annotations in Information Retrieval.&lt;br /&gt;
&lt;br /&gt;
===[[PittCult]]===&lt;br /&gt;
* Lee, D. H. (2008) PITTCULT: Trust-based Cultural Event Recommender, Proceedings of Doctoral Symposium on the 2nd ACM International Conference on Recommender Systems, Lausanne, Switzerland, October 23 ~ 25, 2008 &lt;br /&gt;
* Lee, D. H. (2008) PITTCULT: Recommender System using Trusted Human Network, Student Research Competition in Hypertext 2008, Pittsburgh PA., USA, June 19 ~ 21, 2008, Third Prize Winner of ACM Student Research Competition in Hypertext 2008 &amp;amp; Finalist for the Grand Prize of ACM SRC sponsored by Microsoft Research [http://pittcult.sis.pitt.edu/help.jsp Presentation], [http://www.sigweb.org/ht08/srcposters/lee.pdf pdf]&lt;br /&gt;
&lt;br /&gt;
===[[Proactive]]===&lt;br /&gt;
* Lee, D. H. &amp;amp; Brusilovsky, P. (2007) Fighting Information Overflow with Personalized Comprehensive Information Access: A Proactive Job Recommender, Proceedings of the Third International Conference on Autonomic and Autonomous Systems (ICAS '07), Athens, Greece, June 19 ~ 25, 2007 &lt;br /&gt;
* Lee, D. H. &amp;amp; Brusilovsky, P. (In progress) Proactive: Comprehensive Access of Job Information&lt;br /&gt;
&lt;br /&gt;
===[[QuizJET]]===&lt;br /&gt;
* Hsiao, I., Brusilovsky, P. &amp;amp; Sosnovsky, S. (2008). '''Web-based Parameterized Questions for Object-Oriented Programming'''. Proceedings of World Conference on E-Learning, E-Learn 2008,Las Vegas, USA, November 17-21, 2008, p. 3728-3735.&lt;br /&gt;
* Hsiao, I., Sosnovsky, S and Brusilovsky, P. (2009). '''Extending Parameterized Problem-Tracing Questions for Java with Personalized Guidance'''. Proceedings of 14th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE'2009, Paris, France, July 3-8, 2009, ACM Press, pp.392-392 [http://doi.acm.org/10.1145/1595496.1563034 DOI]&lt;br /&gt;
* Hsiao, I., Sosnovsky, S and Brusilovsky, P. (2009). '''Adaptive Navigation Support for Parameterized Questions in Object-Oriented Programming'''. In: Proceedings of 4th European Conference on Technology Enhanced Education (ECTEL), ECTEL 2009, Nice, France, September 29th - October 2nd, 2009, Springer-Verlag, pp.88-98 [http://dx.doi.org/10.1007/978-3-642-04636-0_10 DOI]&lt;br /&gt;
* Hsiao, I., Sosnovsky,S. and Brusilvsky, P.''' Guiding Students to the Right Questions: Adaptive Navigation Support in an E-learning System for Java Programming''', Journal of Computer Assisted Learning (accepted)&lt;br /&gt;
&lt;br /&gt;
===[[TaskSieve]]===&lt;br /&gt;
{{:TaskSieve}}&lt;br /&gt;
&lt;br /&gt;
===[[YourNews]]===&lt;br /&gt;
* Ahn, J., Brusilovsky, P., Grady, J., He, D., and Syn, S. Y. (2007) '''Open user profiles for adaptive news systems: help or harm?''' In: Proceedings of the 16th international conference on World Wide Web, WWW '07, Banff, Canada, May 8-12, 2007, ACM Press, pp. 11-20.&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=TaskSieve&amp;diff=1406</id>
		<title>TaskSieve</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=TaskSieve&amp;diff=1406"/>
		<updated>2009-12-11T02:12:16Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;In this system, a special type of the user model is supported called as a task model. It is aimed at supporting information analysts who are required to solve a specific task. A very short term user model is constructed to model each different user task and personalization is made with the task models. A post filtering approach was applied to this purpose. The ad-hoc retrieval results triggered by user queries were re-ordered using the task model so that more relevant documents to the task model should be ranked up in the lists. In terms of the interface, we added a control with which users can control the effects of the query and the task model according to their needs and the context.&lt;br /&gt;
[[Image:TaskSieve.png|frame|center|TaskSieve system]]&lt;br /&gt;
&lt;br /&gt;
== Publications ==&lt;br /&gt;
&amp;lt;onlyinclude&amp;gt;&lt;br /&gt;
* Ahn, J., Brusilovsky, P., He, D., Grady, J., and Li, Q. (2008) '''Personalized Web Exploration with Task Models'''. In: Proceedings of the 17th international conference on World Wide Web, WWW '08, Beijing, China, April 21-25, 2008.&lt;br /&gt;
&amp;lt;/onlyinclude&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1405</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1405"/>
		<updated>2009-12-11T02:09:18Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* TaskSieve */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
&lt;br /&gt;
==== ADVISE VIBE (or Adaptive VIBE) ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:AdaptiveVibe_part.png|thumb|left|'''100'''|Adaptive VIBE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link] (Adaptive VIBE integrated into TaskSieve)&lt;br /&gt;
* [[Adaptive_VIBE | more on Adaptive VIBE]]&lt;br /&gt;
|}&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve-surrogates.png|thumb|left|'''100'''|TaskSieve -- mediates query and user model]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve-NEpanel.png|thumb|left|'''100'''|NameSieve Named-entity Navigator]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews-openUM.png|thumb|left|'''100'''|YourNews Open User Model UI]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1404</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1404"/>
		<updated>2009-12-11T02:08:13Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* NameSieve */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
&lt;br /&gt;
==== ADVISE VIBE (or Adaptive VIBE) ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:AdaptiveVibe_part.png|thumb|left|'''100'''|Adaptive VIBE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link] (Adaptive VIBE integrated into TaskSieve)&lt;br /&gt;
* [[Adaptive_VIBE | more on Adaptive VIBE]]&lt;br /&gt;
|}&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve-surrogates.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve-NEpanel.png|thumb|left|'''100'''|NameSieve Named-entity Navigator]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews-openUM.png|thumb|left|'''100'''|YourNews Open User Model UI]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1403</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1403"/>
		<updated>2009-12-11T02:07:38Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* YourNews */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
&lt;br /&gt;
==== ADVISE VIBE (or Adaptive VIBE) ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:AdaptiveVibe_part.png|thumb|left|'''100'''|Adaptive VIBE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link] (Adaptive VIBE integrated into TaskSieve)&lt;br /&gt;
* [[Adaptive_VIBE | more on Adaptive VIBE]]&lt;br /&gt;
|}&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve-surrogates.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve-NEpanel.png|thumb|left|'''100'''|NameSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews-openUM.png|thumb|left|'''100'''|YourNews Open User Model UI]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1402</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1402"/>
		<updated>2009-12-11T02:07:18Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* YourNews */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
&lt;br /&gt;
==== ADVISE VIBE (or Adaptive VIBE) ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:AdaptiveVibe_part.png|thumb|left|'''100'''|Adaptive VIBE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link] (Adaptive VIBE integrated into TaskSieve)&lt;br /&gt;
* [[Adaptive_VIBE | more on Adaptive VIBE]]&lt;br /&gt;
|}&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve-surrogates.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve-NEpanel.png|thumb|left|'''100'''|NameSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews-openUM.jpg|thumb|left|'''100'''|YourNews Open User Model UI]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1401</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1401"/>
		<updated>2009-12-11T02:06:56Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* NameSieve */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
&lt;br /&gt;
==== ADVISE VIBE (or Adaptive VIBE) ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:AdaptiveVibe_part.png|thumb|left|'''100'''|Adaptive VIBE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link] (Adaptive VIBE integrated into TaskSieve)&lt;br /&gt;
* [[Adaptive_VIBE | more on Adaptive VIBE]]&lt;br /&gt;
|}&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve-surrogates.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve-NEpanel.png|thumb|left|'''100'''|NameSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews.jpg|thumb|left|'''100'''|YourNews]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1400</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1400"/>
		<updated>2009-12-11T02:06:38Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* News Personalization &amp;amp; Exploration Systems */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
&lt;br /&gt;
==== ADVISE VIBE (or Adaptive VIBE) ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:AdaptiveVibe_part.png|thumb|left|'''100'''|Adaptive VIBE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link] (Adaptive VIBE integrated into TaskSieve)&lt;br /&gt;
* [[Adaptive_VIBE | more on Adaptive VIBE]]&lt;br /&gt;
|}&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve-surrogates.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve.png|thumb|left|'''100'''|NameSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews.jpg|thumb|left|'''100'''|YourNews]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=File:NameSieve-NEpanel.png&amp;diff=1399</id>
		<title>File:NameSieve-NEpanel.png</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=File:NameSieve-NEpanel.png&amp;diff=1399"/>
		<updated>2009-12-11T02:05:42Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=File:TaskSieve-surrogates.png&amp;diff=1398</id>
		<title>File:TaskSieve-surrogates.png</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=File:TaskSieve-surrogates.png&amp;diff=1398"/>
		<updated>2009-12-11T02:05:26Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=File:YourNews-openUM.png&amp;diff=1397</id>
		<title>File:YourNews-openUM.png</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=File:YourNews-openUM.png&amp;diff=1397"/>
		<updated>2009-12-11T02:01:34Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1396</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1396"/>
		<updated>2009-12-11T01:58:50Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* ADVISE VIBE (or Adaptive VIBE) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
&lt;br /&gt;
==== ADVISE VIBE (or Adaptive VIBE) ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:AdaptiveVibe_part.png|thumb|left|'''100'''|Adaptive VIBE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link] (Adaptive VIBE integrated into TaskSieve)&lt;br /&gt;
* [[Adaptive_VIBE | more on Adaptive VIBE]]&lt;br /&gt;
|}&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve.png|thumb|left|'''100'''|NameSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews.jpg|thumb|left|'''100'''|YourNews]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1395</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1395"/>
		<updated>2009-12-11T01:58:32Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* ADVISE VIBE (or Adaptive VIBE) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
&lt;br /&gt;
==== ADVISE VIBE (or Adaptive VIBE) ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:AdaptiveVibe_part.png|thumb|left|'''100'''|Adaptive VIBE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link] (Adaptive VIBE integrated into TaskSieve)&lt;br /&gt;
* [[Adaptive_VIBE more on Adaptive VIBE]]&lt;br /&gt;
|}&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve.png|thumb|left|'''100'''|NameSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews.jpg|thumb|left|'''100'''|YourNews]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1394</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1394"/>
		<updated>2009-12-11T01:56:45Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* Adaptive Document Visualization - ADVISE */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
&lt;br /&gt;
==== ADVISE VIBE (or Adaptive VIBE) ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:AdaptiveVibe_part.png|thumb|left|'''100'''|Adaptive VIBE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link] (Adaptive VIBE integrated into TaskSieve)&lt;br /&gt;
|}&lt;br /&gt;
* [[AdaptiveVibe]]&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve.png|thumb|left|'''100'''|NameSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews.jpg|thumb|left|'''100'''|YourNews]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1393</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1393"/>
		<updated>2009-12-11T01:54:24Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* Adaptive Document Visualization - ADVISE */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
==== ADVISE VIBE ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:AdaptiveVibe_part.png|thumb|left|'''100'''|Adaptive VIBE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link] (Adaptive VIBE integrated into TaskSieve)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve.png|thumb|left|'''100'''|NameSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews.jpg|thumb|left|'''100'''|YourNews]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1392</id>
		<title>Adaptive VIBE</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1392"/>
		<updated>2009-12-11T01:53:31Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Adaptive VIBE is a variation of VIBE, a reference point-based spatial visualization algorithm.  It supports the visualization of user models as well as usual documents.  User model is displayed as a separate group of POIs (Points of Interests or reference points). Because it is located in distant positions from the query POIs, users can mediate visually between their explicit interests (queries) and the system estimated interests or search contents (user models).&lt;br /&gt;
 &lt;br /&gt;
[[Image:VisualTaskSieve.png|800px|center|Adaptive VIBE integrated into the TaskSieve system]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1391</id>
		<title>Adaptive VIBE</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1391"/>
		<updated>2009-12-11T01:52:58Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Adaptive VIBE is a variation of VIBE, a reference point-based spatial visualization algorithm.  It supports the visualization of user models as well as usual documents.  User model is displayed as a separate group of POIs (Points of Interests or reference points). Because it is located in distant positions from the query POIs, users can mediate visually between their explicit interests (queries) and the system estimated interests or search contents (user models).&lt;br /&gt;
 &lt;br /&gt;
[[Image:VisualTaskSieve.png|800px|thumb|center|Adaptive VIBE integrated into the TaskSieve system]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1390</id>
		<title>Adaptive VIBE</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1390"/>
		<updated>2009-12-11T01:45:31Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;In this system, a special type of the user model is supported called as a task model. It is aimed at supporting information analysts who are required to solve a specific task. A very short term user model is constructed to model each different user task and personalization is made with the task models. A post filtering approach was applied to this purpose. The ad-hoc retrieval results triggered by user queries were re-ordered using the task model so that more relevant documents to the task model should be ranked up in the lists. In terms of the interface, we added a control with which users can control the effects of the query and the task model according to their needs and the context.&lt;br /&gt;
[[Image:VisualTaskSieve.png|frame|center|TaskSieve system]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1389</id>
		<title>Adaptive VIBE</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Adaptive_VIBE&amp;diff=1389"/>
		<updated>2009-12-11T01:45:03Z</updated>

		<summary type="html">&lt;p&gt;Jahn: New page: In this system, a special type of the user model is supported called as a task model. It is aimed at supporting information analysts who are required to solve a specific task. A very short...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;In this system, a special type of the user model is supported called as a task model. It is aimed at supporting information analysts who are required to solve a specific task. A very short term user model is constructed to model each different user task and personalization is made with the task models. A post filtering approach was applied to this purpose. The ad-hoc retrieval results triggered by user queries were re-ordered using the task model so that more relevant documents to the task model should be ranked up in the lists. In terms of the interface, we added a control with which users can control the effects of the query and the task model according to their needs and the context.&lt;br /&gt;
[[Image:TaskSieve.png|frame|center|TaskSieve system]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=1388</id>
		<title>User:Jahn</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=1388"/>
		<updated>2009-12-11T01:43:21Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Jae-wook Ahn =&lt;br /&gt;
&lt;br /&gt;
Ph.D. Candidate&lt;br /&gt;
&lt;br /&gt;
[[Image:Jaewook-1.jpg|thumb|left]]&lt;br /&gt;
&lt;br /&gt;
School of Information Sciences&amp;lt;br/&amp;gt;&lt;br /&gt;
University of Pittsburgh&amp;lt;br/&amp;gt;&lt;br /&gt;
135 N. Bellefield Ave. Rm. 2A04&amp;lt;br/&amp;gt;&lt;br /&gt;
Pittsburgh, PA, 15213 USA&amp;lt;br/&amp;gt;&lt;br /&gt;
Tel: +1-412-624-9437 (office)&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Web: http://www.sis.pitt.edu/~jahn&amp;lt;br&amp;gt;&lt;br /&gt;
E-mail: jahn@mail.sis.pitt.edu&lt;br /&gt;
&lt;br /&gt;
= Interests =&lt;br /&gt;
* Personalization&lt;br /&gt;
* Information Retrieval&lt;br /&gt;
* Information Visualization&lt;br /&gt;
* Human-Computer Interaction&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= Projects =&lt;br /&gt;
* [[ADVISE]]&lt;br /&gt;
** [[Adaptive VIBE]]&lt;br /&gt;
* [[TaskSieve]]&lt;br /&gt;
* [[NameSieve]]&lt;br /&gt;
* [[YourNews]]&lt;br /&gt;
* [[YourSports]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=1387</id>
		<title>User:Jahn</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=User:Jahn&amp;diff=1387"/>
		<updated>2009-12-11T01:37:46Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* Jae-wook Ahn */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Jae-wook Ahn =&lt;br /&gt;
&lt;br /&gt;
Ph.D. Candidate&lt;br /&gt;
&lt;br /&gt;
[[Image:Jaewook-1.jpg|thumb|left]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
School of Information Sciences&amp;lt;br/&amp;gt;&lt;br /&gt;
University of Pittsburgh&amp;lt;br/&amp;gt;&lt;br /&gt;
135 N. Bellefield Ave. Rm. 2A04&amp;lt;br/&amp;gt;&lt;br /&gt;
Pittsburgh, PA, 15213 USA&amp;lt;br/&amp;gt;&lt;br /&gt;
Tel: +1-412-624-9437&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Web: http://www.sis.pitt.edu/~jahn&amp;lt;br&amp;gt;&lt;br /&gt;
E-mail: jahn@mail.sis.pitt.edu&lt;br /&gt;
&lt;br /&gt;
= Projects =&lt;br /&gt;
* [[ADVISE]]&lt;br /&gt;
** [[Adaptive VIBE]]&lt;br /&gt;
* [[TaskSieve]]&lt;br /&gt;
* [[NameSieve]]&lt;br /&gt;
* [[YourNews]]&lt;br /&gt;
* [[YourSports]]&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1386</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1386"/>
		<updated>2009-12-10T22:48:13Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* ADVISE VIBE */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
==== ADVISE VIBE ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:AdaptiveVibe_part.png|thumb|left|'''100'''|Adaptive VIBE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link] (Adaptive VIBE integrated into TaskSieve)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve.png|thumb|left|'''100'''|NameSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews.jpg|thumb|left|'''100'''|YourNews]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1385</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1385"/>
		<updated>2009-12-10T22:47:37Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* ADVISE VIBE */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
==== ADVISE VIBE ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:AdaptiveVibe_part.png|thumb|left|'''100'''|Adaptive VIBE integrated in TaskSieve]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve.png|thumb|left|'''100'''|NameSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews.jpg|thumb|left|'''100'''|YourNews]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=File:AdaptiveVibe_part.png&amp;diff=1384</id>
		<title>File:AdaptiveVibe part.png</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=File:AdaptiveVibe_part.png&amp;diff=1384"/>
		<updated>2009-12-10T22:47:02Z</updated>

		<summary type="html">&lt;p&gt;Jahn: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1383</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1383"/>
		<updated>2009-12-10T22:44:12Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* ADVISE VIBE */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
==== ADVISE VIBE ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:VisualTaskSieve.png|thumb|left|'''100'''|Adaptive VIBE integrated in TaskSieve]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve.png|thumb|left|'''100'''|NameSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews.jpg|thumb|left|'''100'''|YourNews]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
	<entry>
		<id>https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1382</id>
		<title>Systems</title>
		<link rel="alternate" type="text/html" href="https://adapt2.sis.pitt.edu/w/index.php?title=Systems&amp;diff=1382"/>
		<updated>2009-12-10T22:43:24Z</updated>

		<summary type="html">&lt;p&gt;Jahn: /* ADVISE VIBE */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page is a quick overview of the systems developed at [[Main Page|PAWS]] lab.&lt;br /&gt;
== Adaptive Document Visualization - ADVISE ==&lt;br /&gt;
==== ADVISE 2D ====&lt;br /&gt;
Two dimensional document visualization based on inter-document similarities. The locations of the documents on the 2D space are determined by their similarities to another documents and users can visually see the relationships of the documents based on their contents.&lt;br /&gt;
==== ADVISE 3D ====&lt;br /&gt;
Three dimensional visualization of documents based on similarities. By adding one more dimension to 2D visualization, users are able to explore the document space more easily and access each document.&lt;br /&gt;
==== ADVISE VIBE ====&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:VisualTaskSieve.png|thumb|left|'''100'''|Adaptive VIBE integrated in TaskSieve]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Two dimensional visualization based on POIs(Point Of Interest, or concepts) and document similarities. The position of the documents are calculated by their relationships with each POI. &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
([http://ir.exp.sis.pitt.edu/advise more on ADVISE])&lt;br /&gt;
&lt;br /&gt;
== AnnotatEd ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ated.gif|thumb|left|'''100'''|AnnotatEd]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotatEd is a system that enables learners to annotate online pages while keeping track of all activities of learners. AnnotatEd uses the learners' activity information to offer ''social navigation support'' for hyperlinks inside the AnnotatEd system. ([[AnnotatEd|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== AnnotEx ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:AnnotEx.gif|thumb|left|'''100'''|AnnotEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | AnnotEx - Example Annotator- is a web-based community based authoring tool for annotating programming examples.([[AnnotEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CoPE (Collaborative Paper Exchange) ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:CoPE.1.overall.gif|thumb|left|'''100'''|CoPE]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | CoPE - Collaborative Paper Exchange - is a system that provides community-based access to paper summaries via web. CoPE is currently an in-class tool for both teachers and students. ([[CoPE|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== CourseAgent ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[CourseAgent|more]])&lt;br /&gt;
&lt;br /&gt;
== CUMULATE ==&lt;br /&gt;
[[CUMULATE]] is a centralized user modeling server built for the [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] architecture. It is mainly targeted at providing user modeling support for adaptive educational hypermedia (AEH) systems. [[CUMULATE]] maintains as set of overlay models of stidents' knowledge. It uses several techniques for computing student models, including: thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.&lt;br /&gt;
([[CUMULATE|more]])&lt;br /&gt;
&lt;br /&gt;
== Interbook@AHA! ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[Interbook@AHA!|more]])&lt;br /&gt;
&lt;br /&gt;
== Knowledge Sea II ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:ks2.gif|thumb|left|'''100'''|Knowledge Sea II]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Sea II is an extension of Knowledge Sea project that is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The most important feature of Knowledge Sea is facilitating the navigation through providing traffic and annotation based social navigation support. ([[Knowledge Sea II|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Knowledge Tree ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== News Personalization &amp;amp; Exploration Systems ==&lt;br /&gt;
&lt;br /&gt;
=== TaskSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:TaskSieve.png|thumb|left|'''100'''|TaskSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | An experimental personalized news search system based on task models and the interface to mediate between the query and the task model.  Users can select three options (1) query only, (2) task model only, and (3) both. ([[TaskSieve|more]])&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/tasksieve System link 1]&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/~codex/tasksieve System link 2] (newer version integrated with Adaptive VIBE)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== NameSieve ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:NameSieve.png|thumb|left|'''100'''|NameSieve]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | A name-entity based news exploration and filtering system.  Important named-entities extracted from the search results are provided in the &amp;quot;cloud&amp;quot; form and helps further exploration. ([[NameSieve|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/namesieve System Link 1]&lt;br /&gt;
* [http://ir.exp.sis.pitt.edu/~jahn/cma/index.php System Link 2] (Carnegie Museum of Art version)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourNews ===&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:YourNews.jpg|thumb|left|'''100'''|YourNews]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | YourNews is a news recommendation system based on the RSS feeds collected from various news sources. News articles are crawled every two hours, indexed, and then provided to users according to their specific needs.  Users also can view and control their user profile with '''Open User Profile'''  ([[YourNews|more]])&lt;br /&gt;
&lt;br /&gt;
* [http://amber.exp.sis.pitt.edu/yournews System Link]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== YourSports ===&lt;br /&gt;
coming soon&lt;br /&gt;
([[YourSports|more]])&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== NavEx - Navigation to Examples ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:NavEx.gif|thumb|left|'''100'''|NavEx]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | NavEx provides adaptive guidance for accessing online interactive examples. Adaptation allows students to visualize both whether they are ready to explore certain examples and what is their progress with them. NavEx-SN (SN for social navigation) also allows students to relate their progress with the progress of the group. ([[NavEx|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PERSEUS ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[Image:Perseus.gif|thumb|left|100px|PERSEUS]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] provides social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. ([[PERSEUS|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== PittCult ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Pittcult.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | This project is to recommend interesting information using the combined technology of collaborative filtering and trust-based human network. This system is to overcome the emerging problems regarding collaborative filtering recommendations and to investigate how the information propagation is affected by trust among people. ([[PittCult|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Proactive ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Proactive.gif|thumb|left|'''100'''|PittCult]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | The Proactive is content-based recommender system which is based on several knowledge engineering technology and personalized techniques. The system is proprietary to each user by collecting various user's usage patterns. I am particularly interested in how to efficiently make suggestions from multi-faceted point of view. ([[Proactive|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizGuide ==&lt;br /&gt;
{|&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; |  [[Image:Quizguide.gif|thumb|left|'''100'''|QuizGuide]]&lt;br /&gt;
| valign=&amp;quot;top&amp;quot; | QuizGuide, is an adaptive system that helps students in selecting most relevant quizzes for self-assessment of C knowledge. Quizzes are assigned to topics and adaptively annotated, to show which topics are currently important and which require further work. ([[QuizGuide|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== QuizJET ==&lt;br /&gt;
{|&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | [[Image:Quizjet.gif|thumb|left|'''100'''|QuizJET]]&lt;br /&gt;
|valign=&amp;quot;top&amp;quot; | QuizJET is a system serves quizzes as a self-assessment Java Evaluation Tool. It's mainly used to assess students' knowledge in Java Programming Language. QuizJET randomly generates a question parameter, creates a presentation of the parameterized question in a Web-based quiz, compares student's input to the correct answer which QuizJET runs the parameterized code &amp;quot;behind the stage&amp;quot;, and records the results into a server-side database. ([[QuizJET|more]])&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== WADEIn (cWADEIn/jWADEIn) ==&lt;br /&gt;
coming soon&lt;br /&gt;
([[WADEIn|more]])&lt;/div&gt;</summary>
		<author><name>Jahn</name></author>
		
	</entry>
</feed>