| A support vector method for optimizing average precision Y Yue, T Finley, F Radlinski, T Joachims Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 845 | 2007 |
| Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search T Joachims, L Granka, B Pan, H Hembrooke, F Radlinski, G Gay ACM Transactions on Information Systems (TOIS) 25 (2), 7-es, 2007 | 729 | 2007 |
| Query chains: learning to rank from implicit feedback F Radlinski, T Joachims Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 664 | 2005 |
| Learning diverse rankings with multi-armed bandits F Radlinski, R Kleinberg, T Joachims Proceedings of the 25th international conference on Machine learning, 784-791, 2008 | 561 | 2008 |
| How does clickthrough data reflect retrieval quality? F Radlinski, M Kurup, T Joachims Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 382 | 2008 |
| Towards conversational recommender systems K Christakopoulou, F Radlinski, K Hofmann Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 342 | 2016 |
| Improving personalized web search using result diversification F Radlinski, S Dumais Proceedings of the 29th annual international ACM SIGIR conference on …, 2006 | 334 | 2006 |
| A theoretical framework for conversational search F Radlinski, N Craswell Proceedings of the 2017 conference on conference human information …, 2017 | 296 | 2017 |
| Personalizing web search using long term browsing history N Matthijs, F Radlinski Proceedings of the fourth ACM international conference on Web search and …, 2011 | 260 | 2011 |
| Search engines that learn from implicit feedback T Joachims, F Radlinski Computer 40 (8), 34-40, 2007 | 236 | 2007 |
| Active exploration for learning rankings from clickthrough data F Radlinski, T Joachims Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 213 | 2007 |
| Large-scale validation and analysis of interleaved search evaluation O Chapelle, T Joachims, F Radlinski, Y Yue ACM Transactions on Information Systems (TOIS) 30 (1), 1-41, 2012 | 201 | 2012 |
| Mortal multi-armed bandits D Chakrabarti, R Kumar, F Radlinski, E Upfal Advances in neural information processing systems 21, 2008 | 177 | 2008 |
| Inferring and using location metadata to personalize web search PN Bennett, F Radlinski, RW White, E Yilmaz Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 152 | 2011 |
| Ranked bandits in metric spaces: learning diverse rankings over large document collections A Slivkins, F Radlinski, S Gollapudi The Journal of Machine Learning Research 14 (1), 399-436, 2013 | 150* | 2013 |
| Redundancy, diversity and interdependent document relevance F Radlinski, PN Bennett, B Carterette, T Joachims ACM SIGIR Forum 43 (2), 46-52, 2009 | 148 | 2009 |
| Optimizing relevance and revenue in ad search: a query substitution approach F Radlinski, A Broder, P Ciccolo, E Gabrilovich, V Josifovski, L Riedel Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 135 | 2008 |
| Inferring query intent from reformulations and clicks F Radlinski, M Szummer, N Craswell Proceedings of the 19th international conference on World wide web, 1171-1172, 2010 | 127 | 2010 |
| Comparing the sensitivity of information retrieval metrics F Radlinski, N Craswell Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010 | 122 | 2010 |
| TREC Complex Answer Retrieval Overview. L Dietz, M Verma, F Radlinski, N Craswell TREC, 2017 | 118 | 2017 |
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
