| 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), 3, 2014 | 849 | 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 | 397 | 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 | 306 | 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 | 259 | 2012 |
| TRECVID 2016: Evaluating Video Search, Video Event Detection, Localization, and Hyperlinking J Fiscus, D Joy, M Michel, G Awad, AF Smeaton, GJF Jones, W Kraaij, ... TRECVID 2016: Proceedings of TRECVID 2016, 1-18, 2016 | 147* | 2016 |
| Cross-domain collaborative filtering with factorization machines B Loni, Y Shi, M Larson, A Hanjalic European conference on information retrieval, 656-661, 2014 | 135 | 2014 |
| Automatic tagging and geotagging in video collections and communities M Larson, M Soleymani, P Serdyukov, S Rudinac, C Wartena, V Murdock, ... Proceedings of the 1st ACM International Conference on Multimedia Retrieval, 51, 2011 | 134 | 2011 |
| Pairwise Geometric Matching for Large-Scale Object Retrieval X Li, M Larson, A Hanjalic Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 132 | 2015 |
| Tags as bridges between domains: Improving recommendation with tag-induced cross-domain collaborative filtering Y Shi, M Larson, A Hanjalic International Conference on User Modeling, Adaptation, and Personalization …, 2011 | 132 | 2011 |
| 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 | 119 | 2010 |
| Crowdsourcing for affective annotation of video: Development of a viewer-reported boredom corpus M Soleymani, M Larson Proceedings of the ACM SIGIR 2010 Workshop on Crowdsourcing for Search …, 2010 | 119 | 2010 |
| The where in the tweet W Li, P Serdyukov, AP de Vries, C Eickhoff, M Larson Proceedings of the 20th ACM international conference on Information and …, 2011 | 104 | 2011 |
| Search and hyperlinking task at MediaEval 2012 M Eskevich, GJF Jones, S Chen, R Aly, R Ordelman, M Larson CEUR-WS. org, 2012 | 103 | 2012 |
| Chalearn joint contest on multimedia challenges beyond visual analysis: An overview HJ Escalante, V Ponce-López, J Wan, MA Riegler, B Chen, A Clapés, ... 2016 23rd International Conference on Pattern Recognition (ICPR), 67-73, 2016 | 98 | 2016 |
| Spoken content retrieval: A survey of techniques and technologies M Larson, GJF Jones Foundations and Trends in Information Retrieval 5 (4-5), 235-422, 2012 | 97 | 2012 |
| Using coherence-based measures to predict query difficulty J He, M Larson, M De Rijke European conference on information retrieval, 689-694, 2008 | 94 | 2008 |
| 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), 16, 2013 | 93 | 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 | 91 | 2012 |
| 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 |
| 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 | 83 | 2009 |
Alan HanjalicProfessor of Computer Science, IEEE Fellow, Delft University of Technology, The NetherlandsVerified email at tudelft.nl
