Filip Radlinski

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Thorsten JoachimsProfessor of Computer Science, Cornell UniversityEmail yang diverifikasi di cs.cornell.edu
Nick CraswellMicrosoftEmail yang diverifikasi di microsoft.com
Krisztian BalogUniversity of Stavanger & Google DeepMindEmail yang diverifikasi di uis.no
Katja HofmannMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Milad ShokouhiMicrosoftEmail yang diverifikasi di microsoft.com
Paul N. BennettDirector of Research, Large Language Models, SpotifyEmail yang diverifikasi di spotify.com
Emine YilmazUniversity College LondonEmail yang diverifikasi di ucl.ac.uk
Yisong YueCalifornia Institute of Technology; Asari AI; Latitude AIEmail yang diverifikasi di caltech.edu
Ryen W. WhiteGeneral Manager, Deputy Lab Director, Microsoft ResearchEmail yang diverifikasi di microsoft.com
Laura GrankaGoogle, IncEmail yang diverifikasi di google.com
Susan DumaisTechnical Fellow, Microsoft ResearchEmail yang diverifikasi di microsoft.com
Robert KleinbergDepartment of Computer Science, Cornell UniversityEmail yang diverifikasi di cs.cornell.edu
Hamed ZamaniAssociate Professor of Computer Science, University of Massachusetts AmherstEmail yang diverifikasi di cs.umass.edu
Aleksandrs SlivkinsSenior Principal Researcher, Microsoft Research NYCEmail yang diverifikasi di microsoft.com
Madhu KurupVice PresidentEmail yang diverifikasi di amazon.com
Geri GayProfessor of Information Science and Communication, Cornell UniversityEmail yang diverifikasi di cornell.edu
Bing PanPenn State UniversityEmail yang diverifikasi di psu.edu
Johanne R. TrippasVice-Chancellor's Senior Research Fellow, School of Computing Technologies, RMIT UniversityEmail yang diverifikasi di rmit.edu.au
Jeff DaltonAssociate Professor (Reader) at University of EdinburghEmail yang diverifikasi di ed.ac.uk
Sreenivas GollapudiGoogleEmail yang diverifikasi di google.com

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Filip Radlinski

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Information Retrieval Machine Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	928	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	838	2007
Query chains: learning to rank from implicit feedback F Radlinski, T Joachims Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005	705	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	623	2008
Towards conversational recommender systems K Christakopoulou, F Radlinski, K Hofmann Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016	516	2016
A theoretical framework for conversational search F Radlinski, N Craswell Proceedings of the 2017 conference on conference human information …, 2017	458	2017
How does clickthrough data reflect retrieval quality? F Radlinski, M Kurup, T Joachims Proceedings of the 17th ACM conference on Information and knowledge …, 2008	417	2008
Improving personalized web search using result diversification F Radlinski, S Dumais Proceedings of the 29th annual international ACM SIGIR conference on …, 2006	351	2006
Personalizing web search using long term browsing history N Matthijs, F Radlinski Proceedings of the fourth ACM international conference on Web search and …, 2011	282	2011
Search engines that learn from implicit feedback T Joachims, F Radlinski Computer 40 (8), 34-40, 2007	256	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	231	2012
Active exploration for learning rankings from clickthrough data F Radlinski, T Joachims Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	221	2007
Mortal multi-armed bandits D Chakrabarti, R Kumar, F Radlinski, E Upfal Advances in neural information processing systems 21, 2008	215	2008
Transparent, Scrutable and Explainable User Models for Personalized Recommendation K Balog, F Radlinski, S Arakelyan The 42nd International ACM SIGIR Conference on Research and Development in …, 2019	204	2019
TREC Complex Answer Retrieval Overview. L Dietz, M Verma, F Radlinski, N Craswell TREC, 2017	162	2017
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	162*	2013
Redundancy, diversity and interdependent document relevance F Radlinski, PN Bennett, B Carterette, T Joachims ACM SIGIR Forum 43 (2), 46-52, 2009	162	2009
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	160	2011
Conversational information seeking H Zamani, JR Trippas, J Dalton, F Radlinski Foundations and Trends® in Information Retrieval 17 (3-4), 244-456, 2023	159	2023
Online evaluation for information retrieval K Hofmann, L Li, F Radlinski Foundations and Trends® in Information Retrieval 10 (1), 1-117, 2016	147	2016

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