| Models and practices in urban data science at scale M Balduini, M Brambilla, E Della Valle, C Marazzi, T Arabghalizi, ... Big Data Research - Elsevier - Special Issue: Smart City Big Data 17, 66-84, 2019 | 33 | 2019 |
| Personalizing Information Exploration with an Open User Model B Rahdari, P Brusilovsky, D Babichenko Proceedings of the 31st ACM Conference on Hypertext and Social Media (HT’20), 2020 | 19 | 2020 |
| Using Knowledge Graph for Explainable Recommendation of External Content in Electronic Textbooks B Rahdari, P Brusilovsky, K Thaker, J Barria-Pineda Proceedings of the Second Workshop on Intelligent Textbooks. The 21th …, 2020 | 17 | 2020 |
| Knowledge-Driven Wikipedia Article Recommendation for Electronic Textbooks B Rahdari, P Brusilovsky, K Thaker, J Barria-Pineda Proceedings of the 15th European Conference on Technology-Enhanced Learning, 2020 | 16 | 2020 |
| The magic of carousels: Single vs. multi-list recommender systems B Rahdari, B Kveton, P Brusilovsky Proceedings of the 33rd ACM Conference on Hypertext and Social Media, 166-174, 2022 | 15 | 2022 |
| Grapevine: A Profile-Based Exploratory Search and Recommendation System for Finding Research Advisors B Rahdari, P Brusilovsky, D Babichenko, EB Littleton, R Patel, J Fawcett, ... Proceedings of the 83rd ASIS&T Annual Meeting, 2020 | 13 | 2020 |
| Connecting students with research advisors through user-controlled recommendation B Rahdari, P Brusilovsky, A Javadian Sabet Proceedings of the 15th ACM Conference on Recommender Systems, 745-748, 2021 | 11 | 2021 |
| User-controlled hybrid recommendation for academic papers B Rahdari, P Brusilovsky Companion Proceedings of the 24th International Conference on Intelligent …, 2019 | 10 | 2019 |
| Analysis of online user behaviour for art and culture events B Rahdari, T Arabghalizi, M Brambilla International Cross-Domain Conference for Machine Learning and Knowledge …, 2017 | 8 | 2017 |
| Analysis and Knowledge Extraction from Event-related Visual Content on Instagram T Arabghalizi, B Rahdari, M Brambilla Proceedings of the 3rd International Workshop on Knowledge Discoveryon the …, 2017 | 8 | 2017 |
| Logic-scaffolding: Personalized aspect-instructed recommendation explanation generation using llms B Rahdari, H Ding, Z Fan, Y Ma, Z Chen, A Deoras, B Kveton Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 6 | 2024 |
| Helper: an interactive recommender system for ovarian cancer patients and caregivers B Rahdari, P Brusilovsky, D He, KM Thaker, Z Luo, YJ Lee Proceedings of the 16th acm conference on recommender systems, 644-647, 2022 | 6 | 2022 |
| Exploring User-Controlled Hybrid Recommendation in a Conference Context. CH Tsai, P Brusilovsky, B Rahdari Exploratory Search and Interactive Data Analytics - ESIDA: 2019 Joint ACM …, 2019 | 6 | 2019 |
| Controlling Personalized Recommendations in Two Dimensions with a Carousel-Based Interface. B Rahdari, P Brusilovsky, AJ Sabet IntRS@ RecSys, 112-122, 2021 | 5 | 2021 |
| Building a Knowledge Graph for Recommending Experts. B Rahdari, P Brusilovsky International Workshop on Challenges and Experiences From Data Integration …, 2019 | 5 | 2019 |
| PaperExplorer: Personalized Exploratory Search for Conference Proceedings. B Rahdari, P Brusilovsky IUI Workshops, 2021 | 4 | 2021 |
| Towards simulation-based evaluation of recommender systems with carousel interfaces B Rahdari, P Brusilovsky, B Kveton ACM Transactions on Recommender Systems 2 (1), 1-25, 2024 | 3 | 2024 |
| From Ranked Lists to Carousels: A Carousel Click Model B Rahdari, B Kveton, P Brusilovsky arXiv preprint arXiv:2209.13426, 2022 | 3 | 2022 |
| Simulation-Based Evaluation of Interactive Recommender Systems. B Rahdari, P Brusilovsky IntRS@ RecSys, 122-136, 2022 | 3 | 2022 |
| CovEx: An Exploratory Search System for COVID-19 Scientific Literature B Rahdari, P Brusilovsky, K Thaker, HK Chau epiDAMIK 3.0: The 3rd International workshop on Epidemiology meets Data …, 2020 | 2 | 2020 |
Peter BrusilovskyProfessor, School of Computing and Information, University of PittsburghVerified email at pitt.edu
