| Session-based recommendations with recurrent neural networks B Hidasi, A Karatzoglou, L Baltrunas, D Tikk arXiv preprint arXiv:1511.06939, 2015 | 4632 | 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 | 1119 | 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 | 726 | 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 | 506 | 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 | 449 | 2012 |
| Context relevance assessment and exploitation in mobile recommender systems L Baltrunas, B Ludwig, S Peer, F Ricci Personal and Ubiquitous Computing 16 (5), 507-526, 2012 | 380 | 2012 |
| Towards time-dependant recommendation based on implicit feedback L Baltrunas, X Amatriain Workshop on context-aware recommender systems (CARS’09), 25-30, 2009 | 349 | 2009 |
| Incarmusic: Context-aware music recommendations in a car L Baltrunas, M Kaminskas, B Ludwig, O Moling, F Ricci, A Aydin, KH Lüke, ... International conference on electronic commerce and web technologies, 89-100, 2011 | 281 | 2011 |
| 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 | 276 | 2021 |
| 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 | 276 | 2012 |
| 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 | 236 | 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 | 218 | 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 | 215 | 2014 |
| Experimental evaluation of context-dependent collaborative filtering using item splitting L Baltrunas, F Ricci User Modeling and User-Adapted Interaction 24 (1), 7-34, 2014 | 153 | 2014 |
| 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 | 145 | 2015 |
| 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 | 139 | 2012 |
| 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 | 104 | 2014 |
| Session-based recommendations with recurrent neural networks. arXiv 2015 B Hidasi, A Karatzoglou, L Baltrunas, D Tikk arXiv preprint arXiv:1511.06939, 2015 | 93 | 2015 |
| Context-aware places of interest recommendations for mobile users L Baltrunas, B Ludwig, S Peer, F Ricci International Conference of Design, User Experience, and Usability, 531-540, 2011 | 80 | 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 | 74 | 2012 |
Alexandros KaratzoglouAmazonVerified email at amazon.es
