| The Malmo Platform for Artificial Intelligence Experimentation. M Johnson, K Hofmann, T Hutton, D Bignell IJCAI, 4246-4247, 2016 | 169 | 2016 |
| Balancing exploration and exploitation in listwise and pairwise online learning to rank for information retrieval K Hofmann, S Whiteson, M de Rijke Information Retrieval 16 (1), 63-90, 2013 | 101 | 2013 |
| A probabilistic method for inferring preferences from clicks K Hofmann, S Whiteson, M de Rijke CIKM 2011: Proceedings of the Twentieth Conference on Information and …, 2011 | 100 | 2011 |
| Towards conversational recommender systems K Christakopoulou, F Radlinski, K Hofmann Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 82 | 2016 |
| Reusing historical interaction data for faster online learning to rank for IR K Hofmann, A Schuth, S Whiteson, M de Rijke Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 74 | 2013 |
| Generating a non-english subjectivity lexicon: Relations that matter V Jijkoun, K Hofmann Proceedings of the 12th Conference of the European Chapter of the …, 2009 | 73 | 2009 |
| Contextual factors for finding similar experts K Hofmann, K Balog, T Bogers, M De Rijke Journal of the American Society for Information Science and Technology 61 (5 …, 2010 | 63 | 2010 |
| Balancing exploration and exploitation in learning to rank online K Hofmann, S Whiteson, M De Rijke European Conference on Information Retrieval, 251-263, 2011 | 61 | 2011 |
| On user interactions with query auto-completion B Mitra, M Shokouhi, F Radlinski, K Hofmann Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 51 | 2014 |
| The Cornetto database: Architecture and user-scenarios P Vossen, K Hofmann, M Rijke, E Tjong Kim Sang, K Deschacht | 46 | 2007 |
| Online evaluation for information retrieval K Hofmann, L Li, F Radlinski Foundations and Trends® in Information Retrieval 10 (1), 1-117, 2016 | 44 | 2016 |
| Lerot: An online learning to rank framework A Schuth, K Hofmann, S Whiteson, M de Rijke Proceedings of the 2013 workshop on Living labs for information retrieval …, 2013 | 43 | 2013 |
| An eye-tracking study of user interactions with query auto completion K Hofmann, B Mitra, F Radlinski, M Shokouhi Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 40 | 2014 |
| Fidelity, soundness, and efficiency of interleaved comparison methods K Hofmann, S Whiteson, MD Rijke ACM Transactions on Information Systems (TOIS) 31 (4), 17, 2013 | 39 | 2013 |
| Contextual dueling bandits M Dudík, K Hofmann, RE Schapire, A Slivkins, M Zoghi arXiv preprint arXiv:1502.06362, 2015 | 33 | 2015 |
| The impact of document structure on keyphrase extraction K Hofmann, M Tsagkias, E Meij, M De Rijke Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 30 | 2009 |
| Lexical patterns or dependency patterns: which is better for hypernym extraction? ETK Sang, K Hofmann Proceedings of the Thirteenth Conference on Computational Natural Language …, 2009 | 30 | 2009 |
| The university of amsterdam at weps2 K Balog, J He, K Hofmann, V Jijkoun, C Monz, M Tsagkias, W Weerkamp, ... 2nd Web People Search Evaluation Workshop (WePS 2009), 18th WWW Conference, 2009 | 30 | 2009 |
| Automatic extraction of dutch hypernym-hyponym pairs E Tjong Kim Sang, K Hofmann LOT Occasional Series 7, 163-174, 2007 | 30 | 2007 |
| Meta reinforcement learning with latent variable gaussian processes S Sæmundsson, K Hofmann, MP Deisenroth arXiv preprint arXiv:1803.07551, 2018 | 29 | 2018 |
Maarten de RijkeUniversity of AmsterdamVerified email at uva.nl
