Difference between revisions of "Grapevine"
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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]) |
Revision as of 21:01, 27 March 2024
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 (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)