Mehdi Elahi
Cited by
Cited by
Active Learning in Recommender Systems
N Rubens, M Elahi, M Sugiyama, D Kaplan
Recommender Systems Handbook - chapter 24, 809-846, 2015
A survey of active learning in collaborative filtering recommender systems
M Elahi, F Ricci, N Rubens
Computer Science Review 20, 29-50, 2016
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
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
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
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
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
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
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
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
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
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
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
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
User interface patterns in recommendation-empowered content intensive multimedia applications
P Cremonesi, M Elahi, F Garzotto
Springer Multimedia Tools and Applications, 1-35, 2016
Towards responsible media recommendation
M Elahi, D Jannach, L Skjærven, E Knudsen, H Sjøvaag, K Tolonen, ...
AI and Ethics, 1-12, 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
Rating elicitation strategies for collaborative filtering
M Elahi, V Repsys, F Ricci
E-Commerce and Web Technologies: 12th International Conference, EC-Web 2011 …, 2011
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
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
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