| Session-based Recommendations with Recurrent Neural Networks B Hidasi arXiv preprint arXiv:1511.06939, 2015 | 3754 | 2015 |
| Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering A Karatzoglou, X Amatriain, L Baltrunas, N Oliver Proceedings of the fourth ACM conference on Recommender systems, 79-86, 2010 | 1098 | 2010 |
| Group recommendations with rank aggregation and collaborative filtering L Baltrunas, T Makcinskas, F Ricci Proceedings of the fourth ACM conference on Recommender systems, 119-126, 2010 | 692 | 2010 |
| Matrix factorization techniques for context aware recommendation L Baltrunas, B Ludwig, F Ricci Proceedings of the fifth ACM conference on Recommender systems, 301-304, 2011 | 495 | 2011 |
| Climf: learning to maximize reciprocal rank with collaborative less-is-more filtering Y Shi, A Karatzoglou, L Baltrunas, M Larson, N Oliver, A Hanjalic Proceedings of the sixth ACM conference on Recommender systems, 139-146, 2012 | 445 | 2012 |
| Context relevance assessment and exploitation in mobile recommender systems L Baltrunas, B Ludwig, S Peer, F Ricci Personal and Ubiquitous Computing 16, 507-526, 2012 | 378 | 2012 |
| Towards time-dependant recommendation based on implicit feedback L Baltrunas, X Amatriain Workshop on context-aware recommender systems (CARS’09), 25-30, 2009 | 346 | 2009 |
| Tfmap: optimizing map for top-n context-aware recommendation Y Shi, A Karatzoglou, L Baltrunas, M Larson, A Hanjalic, N Oliver Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 278 | 2012 |
| Incarmusic: Context-aware music recommendations in a car L Baltrunas, M Kaminskas, B Ludwig, O Moling, F Ricci, A Aydin, KH Lüke, ... E-Commerce and Web Technologies: 12th International Conference, EC-Web 2011 …, 2011 | 277 | 2011 |
| Context-based splitting of item ratings in collaborative filtering L Baltrunas, F Ricci Proceedings of the third ACM conference on Recommender systems, 245-248, 2009 | 230 | 2009 |
| Learning to rank for recommender systems A Karatzoglou, L Baltrunas, Y Shi Proceedings of the 7th ACM Conference on Recommender Systems, 493-494, 2013 | 199 | 2013 |
| Coverage, redundancy and size-awareness in genre diversity for recommender systems S Vargas, L Baltrunas, A Karatzoglou, P Castells Proceedings of the 8th ACM Conference on Recommender systems, 209-216, 2014 | 196 | 2014 |
| Deep learning for recommender systems: A Netflix case study H Steck, L Baltrunas, E Elahi, D Liang, Y Raimond, J Basilico AI Magazine 42 (3), 7-18, 2021 | 178 | 2021 |
| Experimental evaluation of context-dependent collaborative filtering using item splitting L Baltrunas, F Ricci User Modeling and User-Adapted Interaction 24, 7-34, 2014 | 143 | 2014 |
| Climbing the app wall: enabling mobile app discovery through context-aware recommendations A Karatzoglou, L Baltrunas, K Church, M Böhmer Proceedings of the 21st ACM international conference on Information and …, 2012 | 134 | 2012 |
| Frappe: Understanding the usage and perception of mobile app recommendations in-the-wild L Baltrunas, K Church, A Karatzoglou, N Oliver arXiv preprint arXiv:1505.03014, 2015 | 129 | 2015 |
| Gaussian process factorization machines for context-aware recommendations TV Nguyen, A Karatzoglou, L Baltrunas Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 108 | 2014 |
| Context-aware places of interest recommendations for mobile users L Baltrunas, B Ludwig, S Peer, F Ricci Design, User Experience, and Usability. Theory, Methods, Tools and Practice …, 2011 | 73 | 2011 |
| Optimal radio channel recommendations with explicit and implicit feedback O Moling, L Baltrunas, F Ricci Proceedings of the sixth ACM conference on Recommender systems, 75-82, 2012 | 69 | 2012 |
| xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance Y Shi, A Karatzoglou, L Baltrunas, M Larson, A Hanjalic Proceedings of the 7th ACM conference on Recommender systems, 431-434, 2013 | 64 | 2013 |
Francesco RicciProfessor of Computer Science, Free University of Bozen-BolzanoE-mailová adresa ověřena na: unibz.it