Georges Dupret, Ph.D.
Research field: Computer and Information Science
No research interests added yet.
Publications
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Journal Article (5)
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Georges Dupret, Benjamin Piwowarski (2010) A User Behavior Model for Average Precision and its Generalization to Graded Judgments. In Search.
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Benjamin Piwowarski, Patrick Gallinari, Georges Dupret (2007) An Extension of Precision-Recall with User Modelling ({PRUM}): Application to {XML} Retrieval. In Transactions on Information Systems (TOIS).
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Holger Bast, Georges Dupret, Debapriyo Majumdar et al. (2006) Discovering a Term Taxonomy from Term Similarities using Principal Component Analysis, 117-125. In Lecture Notes in Artificial Intelligence.Download PDF (540.23 KB)
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Georges Dupret, Masato Koda (2001) Bootstrap Re-sampling for Unbalanced Data in Supervised Learning, 141-156. In European Journal of Operational Research 134 (1).Download PDF (366.73 KB)
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Mei Kobayashi, Georges Dupret (2001) Estimation of Singular Values of Very Large Matrices Using Random Sampling, 1331-1352. In Computers and Mathematics with Applications. No. 3983 42 (10-11).Download PDF (317.35 KB)
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Generic (2)
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Lawrence Page, Sergey Brin, Rajeev Motwani et al. (1998) The PageRank Citation Ranking: Bringing Order to the Web.
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Conference Proceedings (23)
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Georges Dupret, Ciya Liao (2010) A model to estimate intrinsic document relevance from the clickthrough logs of a web search engine., 181-190. In WSDM.
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S Fujita, K Machinaga, Georges Dupret (2010) Click-graph Modeling for Facet Attribute Estimation of Web Search Queries. In Proceedings of 9th international conference on Adaptivity, Personalization and Fusion of Heterogeneous Information (RIAO 2010), Paris, France.
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Benjamin Piwowarski, Georges Dupret, Rosie Jones (2009) Mining user web search activity with layered bayesian networks or how to capture a click in its context, 162-171. In WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining.
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Georges Dupret (2009) User Models to Compare and Evaluate Web IR Metrics. In SIGIR 2009 Workshop on The Future of IR Evaluation.Download PDF (1.45 MB)
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Georges Dupret, Benjamin Piwowarski (2008) A User Browsing Model to Predict Search Engine Click Data from Past Observations, 331. In Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval.Download PDF (200.47 KB)
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Ricardo Baeza-Yates, Georges Dupret, Javier Velasco (2007) A Study of Mobile Search Queries in Japan.Download PDF (344.4 KB)
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Olivier Motelet, Benjamin Piwowarski, Georges Dupret et al. (2007) Enhancing Educational-Material Retrieval Using Authored-Lesson Metadata., 254-263. In SPIRE 2007.
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Georges Dupret, Vanessa Murdock, Benjamin Piwowarski (2007) Web Search Engine Evaluation using Clickthrough Data and a User Model. In WWW2007 workshop Query Log Analysis: Social and Technological Challenges.Download PDF (89.16 KB)
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Georges Dupret, Benjamin Piwowarski, Carlos Hurtado et al. (2006) A Statistical Model of Query Log Generation, 217-228. In Proceedings of the 13th International Symposium on String Processing and Information Retrieval (SPIRE 2006).Download PDF (506.01 KB)
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Georges Dupret, Marcelo Mendoza (2006) Automatic Query Recommendation using Click-Through Data. In ISI Proceedings: 19th IFIP World Conference.Download PDF (151.73 KB)
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Report (2)
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Mei Kobayashi, Loic Malassis, Georges Dupret et al. (2001) Detecting and Tracking the Evolution of Topics in News Databases.
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Georges Dupret, Masato Koda (1999) Bootstrap Training for Neural Networks.
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Patent (5)
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Georges Dupret, Ciya Liao (2010) Improving Ranking for Informational and Unpopular Search Queries by Cumulating Click Relevance.
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Yoshiyuki Inagaki, Narayanan Sadagopan, Georges Dupret (2010) Session Based Click Features for Recency Ranking.Download PDF (312.97 KB)
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Sumio Fujita, Georges Dupret (2008) Method for Calculating Score for Search Query.
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Georges Dupret, Benjamin Piwowarski (2008) System And Method For Deducing User Interaction Patterns Based On Limited Activities.
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Anlei Dong, Yi Chang, Zhaohui Zheng et al. Incorporating Recency in Network Search Using Machine Learning.
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