Grapevine - Revision history

Behnam at 01:57, 22 April 2024

2024-04-22T01:57:19Z

Behnam at 01:44, 22 April 2024

2024-04-22T01:44:33Z

Peterb at 21:03, 27 March 2024

2024-03-27T21:03:45Z

Peterb: /* Publications */

2024-03-27T21:01:34Z

‎Publications

Peterb: /* Publications */

2024-03-27T20:58:03Z

‎Publications

Peterb at 20:57, 27 March 2024

2024-03-27T20:57:43Z

Peterb: Created page with "Grapevine is an interactive recommender system that assists students in finding advisors for their projects - from undergraduate capstone projects to PhD thesis work. It has b..."

2024-03-27T20:50:37Z

Created page with "Grapevine is an interactive recommender system that assists students in finding advisors for their projects - from undergraduate capstone projects to PhD thesis work. It has b..."

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Grapevine is an interactive recommender system that assists students in finding advisors for their projects - from undergraduate capstone projects to PhD thesis work. It has been developed as a part of Personalized Education project sponsored by the University of Pittsburgh

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 Finding a suitable research advisor is a significant challenge for undergraduate students, especially for those who are new to the intricacies of academic research. Grapevine addresses this challenge by offering a tailored system that simplifies the process of matching students with research advisors. It's particularly beneficial for first-generation college students who may not have prior exposure to navigating academic environments. Grapevine's aim is to facilitate these students' entry into the research domain, providing a supportive tool to identify advisors whose interests align with their own.
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 The interface of Grapevine, illustrated in Figure 1, is user-centric and intuitive. It features a search box, a list of suggested keywords, sliders for adjusting research interests, and a display of potential advisors. This design enables students to actively engage in refining their research preferences, helping them to clarify and articulate their interests more effectively. Detailed advisor profiles, as seen in Figure 2, offer in-depth information about each advisor’s research areas, assisting students in making informed decisions. The system's underlying knowledge graph, shown in Figure 3, links advisors, research topics, and keywords to generate personalized recommendations, adapting to each student's evolving research interests.
-[add figure 2 here]
+<div style="width: 50%; align: center">
 In essence, Grapevine serves as a practical and accessible platform for undergraduate students embarking on their research journeys. It's designed to demystify the process of finding a research advisor, making it more approachable and aligned with individual student needs. By leveraging technology to connect students with compatible advisors, Grapevine hopes to contribute to creating a supportive environment for the next generation of researchers.
 == Publications ==

← Older revision		Revision as of 01:44, 22 April 2024
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−	Grapevine ~~is an interactive recommender~~ system that ~~assists~~ students ~~in finding~~ research advisors for their ~~projects~~ - ~~from undergraduate capstone projects to PhD thesis work~~. It ~~has been developed as~~ a ~~part~~ of a research ~~project sponsored by the University of Pittsburgh Personalized Education program~~. The system ~~combines ideas from the areas of exploratory search~~, ~~user modeling~~, and ~~recommender systems by employing state-~~of~~-the-art knowledge extraction~~, ~~graph-based recommendation~~, ~~and an intelligent user interface~~.	+	Finding a suitable research advisor is a significant challenge for undergraduate students, especially for those who are new to the intricacies of academic research. Grapevine addresses this challenge by offering a tailored system that simplifies the process of matching students with research advisors. It's particularly beneficial for first-generation college students who may not have prior exposure to navigating academic environments. Grapevine's aim is to facilitate these students' entry into the research domain, providing a supportive tool to identify advisors whose interests align with their own.
		+
		+	[add figure 1 here]
		+
		+
		+	The interface of Grapevine, illustrated in Figure 1, is user-centric and intuitive. It features a search box, a list of suggested keywords, sliders for adjusting research interests, and a display of potential advisors. This design enables students to actively engage in refining their research preferences, helping them to clarify and articulate their interests more effectively. Detailed advisor profiles, as seen in Figure 2, offer in-depth information about each advisor’s research areas, assisting students in making informed decisions. The system's underlying knowledge graph, shown in Figure 3, links advisors, research topics, and keywords to generate personalized recommendations, adapting to each student's evolving research interests.
		+
		+	[add figure 2 here]
		+
		+	In essence, Grapevine serves as a practical and accessible platform for undergraduate students embarking on their research journeys. It's designed to demystify the process of finding a research advisor, making it more approachable and aligned with individual student needs. By leveraging technology to connect students with compatible advisors, Grapevine hopes to contribute to creating a supportive environment for the next generation of researchers.

	== Publications ==		== Publications ==

← Older revision		Revision as of 21:03, 27 March 2024
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−	Grapevine is an interactive recommender system that assists students in finding advisors for their projects - from undergraduate capstone projects to PhD thesis work. It has been developed as a part of ~~Personalized Education~~ project sponsored by the University of Pittsburgh.	+	Grapevine is an interactive recommender system that assists students in finding research advisors for their projects - from undergraduate capstone projects to PhD thesis work. It has been developed as a part of a research project sponsored by the University of Pittsburgh Personalized Education program. The system combines ideas from the areas of exploratory search, user modeling, and recommender systems by employing state-of-the-art knowledge extraction, graph-based recommendation, and an intelligent user interface.

	== Publications ==		== Publications ==

← Older revision		Revision as of 21:01, 27 March 2024
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	* Rahdari, B., Brusilovsky, P., and Babichenko, D. (2020) Personalizing Information Exploration with an Open User Model. In: Proceedings of 31st ACM Conference on Hypertext and Social Media, July 13-15, 2020, ACM, pp. 167-176 ([https://doi.org/10.1145%2F3372923.3404797 paper])		* Rahdari, B., Brusilovsky, P., and Babichenko, D. (2020) Personalizing Information Exploration with an Open User Model. In: Proceedings of 31st ACM Conference on Hypertext and Social Media, July 13-15, 2020, ACM, pp. 167-176 ([https://doi.org/10.1145%2F3372923.3404797 paper])
	* Rahdari, B., Brusilovsky, P., Babichenko, D., Littleton, E. B., Patel, R., Fawsett, J., and Blum, Z. (2020) Grapevine: A profile‐based exploratory search and recommendation system for finding research advisors. In: Proceedings of 83rd Annual Meeting of the Association for Information Science & Technology, October 25-29, 2020 ([https://doi.org/10.1002/pra2.271 paper])		* Rahdari, B., Brusilovsky, P., Babichenko, D., Littleton, E. B., Patel, R., Fawsett, J., and Blum, Z. (2020) Grapevine: A profile‐based exploratory search and recommendation system for finding research advisors. In: Proceedings of 83rd Annual Meeting of the Association for Information Science & Technology, October 25-29, 2020 ([https://doi.org/10.1002/pra2.271 paper])
		+	* Rahdari, B., Brusilovsky, P., and Sabet, A. J. (2021) Controlling Personalized Recommendations in Two Dimensions with a Carousel-Based Interface. In: Proceedings of Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21) at 2021 ACM Conference on Recommender Systems (RecSys’21), September 25, 2021, CEUR, pp. 112-122. ([https://ceur-ws.org/Vol-2948/short3.pdf paper])
		+	* Rahdari, B., Brusilovsky, P., and Sabet, A. J. (2021) Connecting Students with Research Advisors Through User-Controlled Recommendation. In: Proceedings of Fifteenth ACM Conference on Recommender Systems, Amsterdam, Netherlands, 27 September 2021 - 1 October 2021, ACM, pp. 745-748. ([https://doi.org/10.1145%2F3460231.3478879 paper])

@@ Line 3: / Line 3: @@
 == Publications ==
-* Rahdari, B., Brusilovsky, P., and Babichenko, D. (2020) Personalizing Information Exploration with an Open User Model. In:  Proceedings of 31st ACM Conference on Hypertext and Social Media, July 13-15, 2020, ACM, pp. 167-176.
+* Rahdari, B., Brusilovsky, P., and Babichenko, D. (2020) Personalizing Information Exploration with an Open User Model. In:  Proceedings of 31st ACM Conference on Hypertext and Social Media, July 13-15, 2020, ACM, pp. 167-176 ([https://doi.org/10.1145%2F3372923.3404797 paper])
-([https://doi.org/10.1145%2F3372923.3404797 paper])
+* Rahdari, B., Brusilovsky, P., Babichenko, D., Littleton, E. B., Patel, R., Fawsett, J., and Blum, Z. (2020) Grapevine: A profile‐based exploratory search and recommendation system for finding research advisors. In:  Proceedings of 83rd Annual Meeting of the Association for Information Science & Technology, October 25-29, 2020 ([https://doi.org/10.1002/pra2.271 paper])

← Older revision		Revision as of 20:57, 27 March 2024
Line 1:		Line 1:
−	Grapevine is an interactive recommender system that assists students in finding advisors for their projects - from undergraduate capstone projects to PhD thesis work. It has been developed as a part of Personalized Education project sponsored by the University of Pittsburgh	+	Grapevine is an interactive recommender system that assists students in finding advisors for their projects - from undergraduate capstone projects to PhD thesis work. It has been developed as a part of Personalized Education project sponsored by the University of Pittsburgh.
		+
		+	== Publications ==
		+
		+	* Rahdari, B., Brusilovsky, P., and Babichenko, D. (2020) Personalizing Information Exploration with an Open User Model. In: Proceedings of 31st ACM Conference on Hypertext and Social Media, July 13-15, 2020, ACM, pp. 167-176.
		+	([https://doi.org/10.1145%2F3372923.3404797 paper])
		+	* Rahdari, B., Brusilovsky, P., Babichenko, D., Littleton, E. B., Patel, R., Fawsett, J., and Blum, Z. (2020) Grapevine: A profile‐based exploratory search and recommendation system for finding research advisors. In: Proceedings of 83rd Annual Meeting of the Association for Information Science & Technology, October 25-29, 2020.
		+	([https://doi.org/10.1002/pra2.271 paper])