Filip Radlinski

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Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Nick CraswellMicrosoftVerified email at microsoft.com
Katja HofmannMicrosoft ResearchVerified email at microsoft.com
Krisztian BalogUniversity of Stavanger & Google ResearchVerified email at uis.no
Milad ShokouhiMicrosoftVerified email at microsoft.com
Paul N. BennettPartner Research Manager, Microsoft ResearchVerified email at microsoft.com
Emine YilmazUniversity College LondonVerified email at ucl.ac.uk
Yisong YueCalifornia Institute of Technology; Latitude AIVerified email at caltech.edu
Ryen W. WhiteGeneral Manager, Deputy Lab Director, Microsoft ResearchVerified email at microsoft.com
Susan DumaisTechnical Fellow, Microsoft ResearchVerified email at microsoft.com
Laura GrankaGoogle, IncVerified email at google.com
Robert KleinbergDepartment of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Aleksandrs SlivkinsSenior Principal Researcher, Microsoft Research NYCVerified email at microsoft.com
Madhu KurupVice PresidentVerified email at amazon.com
Geri GayProfessor of Information Science and Communication, Cornell UniversityVerified email at cornell.edu
Bing PanPenn State UniversityVerified email at psu.edu
Sreenivas GollapudiGoogleVerified email at google.com
manisha vermaAmazon, NYCVerified email at amazon.com
Jaime ArguelloProfessor, University of North Carolina at Chapel HillVerified email at email.unc.edu
Hamed ZamaniAssistant Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu

Filip Radlinski

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Information Retrieval Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	865	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	750	2007
Query chains: learning to rank from implicit feedback F Radlinski, T Joachims Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005	671	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	575	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	390	2008
Towards conversational recommender systems K Christakopoulou, F Radlinski, K Hofmann Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016	361	2016
Improving personalized web search using result diversification F Radlinski, S Dumais Proceedings of the 29th annual international ACM SIGIR conference on …, 2006	337	2006
A theoretical framework for conversational search F Radlinski, N Craswell Proceedings of the 2017 conference on conference human information …, 2017	327	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	266	2011
Search engines that learn from implicit feedback T Joachims, F Radlinski Computer 40 (8), 34-40, 2007	239	2007
Active exploration for learning rankings from clickthrough data F Radlinski, T Joachims Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	215	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	211	2012
Mortal multi-armed bandits D Chakrabarti, R Kumar, F Radlinski, E Upfal Advances in neural information processing systems 21, 2008	185	2008
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	155*	2013
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	153	2011
Redundancy, diversity and interdependent document relevance F Radlinski, PN Bennett, B Carterette, T Joachims ACM SIGIR Forum 43 (2), 46-52, 2009	151	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	136	2008
TREC Complex Answer Retrieval Overview. L Dietz, M Verma, F Radlinski, N Craswell TREC, 2017	131	2017
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	128	2010
Comparing the sensitivity of information retrieval metrics F Radlinski, N Craswell Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010	127	2010

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