Active Learning in Recommender Systems N Rubens, M Elahi, M Sugiyama, D Kaplan Recommender Systems Handbook - chapter 24, 809-846, 2015 | 406 | 2015 |
Current Challenges and Visions in Music Recommender Systems Research M Schedl, H Zamani, CW Chen, Y Deldjoo, M Elahi International Journal of Multimedia Information Retrieval 7 (2), 2018 | 384 | 2018 |
A survey of active learning in collaborative filtering recommender systems M Elahi, F Ricci, N Rubens Computer Science Review 20, 29-50, 2016 | 369 | 2016 |
Content-based video recommendation system based on stylistic visual features Y Deldjoo, M Elahi, P Cremonesi, F Garzotto, P Piazzolla, M Quadrana Journal on Data Semantics 5, 99-113, 2016 | 262 | 2016 |
Alleviating the New User Problem in Collaborative Filtering by Exploiting Personality Information I Fernandez Tobias, M Braunhofer, M Elahi, F Ricci, C Ivan User Modeling and User-Adapted Interaction (UMUAI), 2016 | 179 | 2016 |
Personality-based active learning for collaborative filtering recommender systems M Elahi, M Braunhofer, F Ricci, M Tkalcic AI* IA 2013: Advances in Artificial Intelligence, 360-371, 2013 | 146 | 2013 |
Using tags and latent factors in a food recommender system M Ge, M Elahi, I Fernaández-Tobías, F Ricci, D Massimo Proceedings of the 5th international conference on digital health 2015, 105-112, 2015 | 141 | 2015 |
Active learning strategies for rating elicitation in collaborative filtering: a system-wide perspective M Elahi, F Ricci, N Rubens ACM Transactions on Intelligent Systems and Technology (TIST) 5 (1), 1-33, 2014 | 101 | 2014 |
Context-Aware Points of Interest Suggestion with Dynamic Weather Data Management M Braunhofer, M Elahi, F Ricci, T Schievenin Information and Communication Technologies in Tourism 2014, 87-100, 2014 | 97 | 2014 |
Using visual features based on MPEG-7 and deep learning for movie recommendation Y Deldjoo, M Elahi, M Quadrana, P Cremonesi International Journal of Multimedia Information Retrieval, 1-13, 2018 | 94* | 2018 |
Recsys challenge 2017: Offline and online evaluation F Abel, Y Deldjoo, M Elahi, D Kohlsdorf Proceedings of the eleventh acm conference on recommender systems, 372-373, 2017 | 84 | 2017 |
User personality and the new user problem in a context-aware point of interest recommender system M Braunhofer, M Elahi, F Ricci Information and Communication Technologies in Tourism 2015: Proceedings of …, 2015 | 70 | 2015 |
Active learning in collaborative filtering recommender systems M Elahi, F Ricci, N Rubens E-Commerce and Web Technologies: 15th International Conference, EC-Web 2014 …, 2014 | 59 | 2014 |
Exploring the semantic gap for movie recommendations M Elahi, Y Deldjoo, F Bakhshandegan Moghaddam, L Cella, S Cereda, ... Proceedings of the eleventh acm conference on recommender systems, 326-330, 2017 | 58 | 2017 |
Towards responsible media recommendation M Elahi, D Jannach, L Skjærven, E Knudsen, H Sjøvaag, K Tolonen, ... AI and Ethics, 1-12, 2022 | 55 | 2022 |
User interface patterns in recommendation-empowered content intensive multimedia applications P Cremonesi, M Elahi, F Garzotto Springer Multimedia Tools and Applications, 1-35, 2016 | 53 | 2016 |
Responsible media technology and AI: challenges and research directions C Trattner, D Jannach, E Motta, I Costera Meijer, N Diakopoulos, M Elahi, ... AI and Ethics 2 (4), 585-594, 2022 | 47 | 2022 |
Context Dependent Preference Acquisition with Personality-Based Active Learning in Mobile Recommender Systems M Braunhofer, M Elahi, M Ge, F Ricci Learning and Collaboration Technologies. Technology-Rich Environments for …, 2014 | 42 | 2014 |
Investigating the impact of recommender systems on user-based and item-based popularity bias M Elahi, DK Kholgh, MS Kiarostami, S Saghari, SP Rad, M Tkalčič Information Processing & Management 58 (5), 102655, 2021 | 41 | 2021 |
Interaction design in a mobile food recommender system M Elahi, M Ge, F Ricci, I Fernández-Tobías, S Berkovsky, D Massimo IntRS 2015 Interfaces and Human Decision Making for Recommender Systems …, 2015 | 40 | 2015 |