| Collaborative filtering beyond the user-item matrix: A survey of the state of the art and future challenges Y Shi, M Larson, A Hanjalic ACM Computing Surveys (CSUR) 47 (1), 1-45, 2014 | 746 | 2014 |
| 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 | 369 | 2012 |
| List-wise learning to rank with matrix factorization for collaborative filtering Y Shi, M Larson, A Hanjalic Proceedings of the fourth ACM conference on Recommender systems, 269-272, 2010 | 274 | 2010 |
| 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 | 253 | 2012 |
| Tags as bridges between domains: improving recommendation with tag-induced cross-domain collaborative filtering Y Shi, M Larson, A Hanjalic User Modeling, Adaption and Personalization, 305-316, 2011 | 119 | 2011 |
| Cross-domain collaborative filtering with factorization machines B Loni, Y Shi, M Larson, A Hanjalic European conference on information retrieval, 656-661, 2014 | 117 | 2014 |
| Reduced-reference metric design for objective perceptual quality assessment in wireless imaging U Engelke, M Kusuma, HJ Zepernick, M Caldera Signal Processing: Image Communication 24 (7), 525-547, 2009 | 114 | 2009 |
| Mining mood-specific movie similarity with matrix factorization for context-aware recommendation Y Shi, M Larson, A Hanjalic Proceedings of the workshop on context-aware movie recommendation, 34-40, 2010 | 110 | 2010 |
| Learning to rank for recommender systems A Karatzoglou, L Baltrunas, Y Shi Proceedings of the 7th ACM Conference on Recommender Systems, 493-494, 2013 | 105 | 2013 |
| Personalized Landmark Recommendation Based on Geotags from Photo Sharing Sites Y Shi, P Serdyukov, A Hanjalic, M Larson Fifth International AAAI Conference on Weblogs and Social Media, 2011 | 89 | 2011 |
| Mining contextual movie similarity with matrix factorization for context-aware recommendation Y Shi, M Larson, A Hanjalic ACM Transactions on Intelligent Systems and Technology (TIST) 4 (1), 2013 | 83 | 2013 |
| Adaptive diversification of recommendation results via latent factor portfolio Y Shi, X Zhao, J Wang, M Larson, A Hanjalic Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 82 | 2012 |
| Exploiting user similarity based on rated-item pools for improved user-based collaborative filtering Y Shi, M Larson, A Hanjalic Proceedings of the third ACM conference on Recommender systems, 125-132, 2009 | 78 | 2009 |
| On sampling strategies for neural network-based collaborative filtering T Chen, Y Sun, Y Shi, L Hong Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 62 | 2017 |
| Unifying rating-oriented and ranking-oriented collaborative filtering for improved recommendation Y Shi, M Larson, A Hanjalic Information Sciences 229, 2013 | 60 | 2013 |
| Recommender Systems Evaluation: A 3D Benchmark. A Said, D Tikk, K Stumpf, Y Shi, MA Larson, P Cremonesi RUE@ RecSys, 21-23, 2012 | 53 | 2012 |
| Cars2: Learning context-aware representations for context-aware recommendations Y Shi, A Karatzoglou, L Baltrunas, M Larson, A Hanjalic proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 50 | 2014 |
| 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 | 50 | 2013 |
| Nontrivial landmark recommendation using geotagged photos Y Shi, P Serdyukov, A Hanjalic, M Larson ACM Transactions on Intelligent Systems and Technology (TIST) 4 (3), 1-27, 2013 | 39 | 2013 |
| Returning is believing: Optimizing long-term user engagement in recommender systems Q Wu, H Wang, L Hong, Y Shi Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 33 | 2017 |
Martha LarsonRadboud University and Delft University of TechnologyVerified email at tudelft.nl
