Milad Shokouhi

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Nick CraswellMicrosoftDirección de correo verificada de microsoft.com
Filip RadlinskiGoogleDirección de correo verificada de google.com
Emine YilmazUniversity College LondonDirección de correo verificada de ucl.ac.uk
Gabriella KazaiResearch Consultant, Microsoft ResearchDirección de correo verificada de microsoft.com
Susan DumaisTechnical Fellow, Microsoft ResearchDirección de correo verificada de microsoft.com
Justin ZobelComputing and Information Systems, University of MelbourneDirección de correo verificada de unimelb.edu.au
Fernando DiazCarnegie Mellon UniversityDirección de correo verificada de acm.org
Falk ScholerSchool of Computing Technologies, RMIT UniversityDirección de correo verificada de rmit.edu.au
Paul N. BennettDirector of Research, Large Language Models, SpotifyDirección de correo verificada de spotify.com
Pushmeet KohliDeepMindDirección de correo verificada de google.com
Matteo VenanziMachine Learning Enthusiast @ MetaDirección de correo verificada de meta.com
Leif AzzopardiUniversity of StrathclydeDirección de correo verificada de strath.ac.uk
Bodo BillerbeckMicrosoftDirección de correo verificada de microsoft.com
Umut OzertemSenior Staff SWE at GoogleDirección de correo verificada de google.com
Paul ThomasMicrosoftDirección de correo verificada de microsoft.com
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLDirección de correo verificada de ucl.ac.uk
Luo SiSalesforce, Alibaba Group Inc, Purdue Univ, Carnegie Mellon UnivDirección de correo verificada de cs.purdue.edu
Ryen W. WhiteGeneral Manager, Deputy Lab Director, Microsoft ResearchDirección de correo verificada de microsoft.com
Qi GuoGoogle AIDirección de correo verificada de google.com
Bhaskar MitraMicrosoft ResearchDirección de correo verificada de microsoft.com

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Milad Shokouhi

Microsoft

Dirección de correo verificada de microsoft.com


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Community-based bayesian aggregation models for crowdsourcing M Venanzi, J Guiver, G Kazai, P Kohli, M Shokouhi Proceedings of the 23rd international conference on World wide web, 155-164, 2014	296	2014
Learning to personalize query auto-completion M Shokouhi Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013	238	2013
Federated search M Shokouhi, L Si Foundations and Trends® in Information Retrieval 5 (1), 1-102, 2011	217	2011
Time-sensitive query auto-completion M Shokouhi, K Radinsky Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012	172	2012
Inferring the demographics of search users: Social data meets search queries B Bi, M Shokouhi, M Kosinski, T Graepel Proceedings of the 22nd international conference on World Wide Web, 131-140, 2013	145	2013
Central-rank-based collection selection in uncooperative distributed information retrieval M Shokouhi European Conference on Information Retrieval, 160-172, 2007	142	2007
Presenting content items using topical relevance and trending popularity D Stern, R Herbrich, M Shokouhi, TKH Graepel US Patent App. 12/717,109, 2011	139	2011
Expected browsing utility for web search evaluation E Yilmaz, M Shokouhi, N Craswell, S Robertson Proceedings of the 19th ACM international conference on Information and …, 2010	104	2010
Detecting seasonal queries by time-series analysis M Shokouhi Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011	96	2011
Learning to rank for freshness and relevance N Dai, M Shokouhi, BD Davison Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011	90	2011
Sushi: Scoring scaled samples for server selection P Thomas, M Shokouhi Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009	90	2009
LambdaMerge: merging the results of query reformulations D Sheldon, M Shokouhi, M Szummer, N Craswell Proceedings of the fourth ACM international conference on Web search and …, 2011	89	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	80	2014
Query expansion using external evidence Z Yin, M Shokouhi, N Craswell Advances in Information Retrieval: 31th European Conference on IR Research …, 2009	80	2009
Capturing collection size for distributed non-cooperative retrieval M Shokouhi, J Zobel, F Scholer, SMM Tahaghoghi Proceedings of the 29th annual international ACM SIGIR conference on …, 2006	76	2006
From queries to cards: Re-ranking proactive card recommendations based on reactive search history M Shokouhi, Q Guo Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015	72	2015
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	72	2014
Behavioral dynamics on the web: Learning, modeling, and prediction K Radinsky, KM Svore, ST Dumais, M Shokouhi, J Teevan, A Bocharov, ... ACM Transactions on Information Systems (TOIS) 31 (3), 1-37, 2013	68	2013
Robust result merging using sample-based score estimates M Shokouhi, J Zobel ACM Transactions on Information Systems (TOIS) 27 (3), 1-29, 2009	60	2009
Fighting search engine amnesia: Reranking repeated results M Shokouhi, RW White, P Bennett, F Radlinski Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013	50	2013

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