Grapevine

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

• 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 (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 (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. (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. (paper)