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Learning to rank
Results: 420

#	Item
41	Online Learning to Rank with Feedback at the Top Sougata Chaudhuri University of Michigan, Ann Arbor Abstract Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-06-06 23:29:33
42	Learning to Rank and Quadratic Assignment Thomas Mensink∗ TVPA - XRCE & LEAR - INRIA Grenoble, France Add to Reading List Source URL: tiberiocaetano.com Language: English - Date: 2011-12-02 17:56:47
43	Multileave Gradient Descent for Fast Online Learning to Rank Anne Schuth1,2, Harrie Oosterhuis1, Shimon Whiteson3 and Maarten de Rijke1 1University of Amsterdam, 2Blendle, 3University of Oxford Add to Reading List Source URL: www.anneschuth.nl Language: English - Date: 2016-02-24 14:45:13
44	! Online Learning to Rank Framework Anne Schuth - University of Amsterdam Katja Hofmann - Microsoft Research Shimon Whiteson - University of Amsterdam Add to Reading List Source URL: living-labs.net Language: English - Date: 2014-05-01 10:53:34
45	On Using Simultaneous Perturbation Stochastic Approximation for Learning to Rank, and the Empirical Optimality of LambdaRank Yisong Yue Christopher J. C. Burges Dept. of Computer Science Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2007-10-23 09:46:28
46	Robust Structural Metric Learning Daryl K. H. Lim Department of Electrical and Computer Engineering, University of California, San Diego, CAUSA Brian McFee Add to Reading List Source URL: bmcfee.github.io Language: English - Date: 2016-05-31 12:44:38 Statistics Information science Information retrieval Machine learning Learning to rank Monotone likelihood ratio K-nearest neighbors algorithm Random sample consensus
47	Multileave Gradient Descent for Fast Online Learning to Rank Anne Schuth† Harrie Oosterhuis† Add to Reading List Source URL: www.anneschuth.nl Language: English - Date: 2015-11-02 11:31:05
48	Multileave Gradient Descent for Fast Online Learning to Rank (Abstract) Anne Schuth† Harrie Oosterhuis† Add to Reading List Source URL: www.anneschuth.nl Language: English - Date: 2015-11-12 09:02:39
49	Predicting Web Searcher Satisfaction with Existing Community-based Answers Qiaoling Liu§ , Eugene Agichtein§ , Gideon Dror† , Evgeniy Gabrilovich‡ , Yoelle Maarek† , Dan Pelleg† , Idan Szpektor† , § Add to Reading List Source URL: www.cs.technion.ac.il Language: English - Date: 2011-05-30 11:35:04 Internet search engines World Wide Web Information science Information retrieval Social information processing Internet search Google Answers Yahoo! Answers Learning to rank Web search query Google Search Bing
50	Perturbation based Large Margin Approach for Ranking Eunho Yang University of Texas at Austin Ambuj Tewari Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-09-12 18:50:24 Machine learning Learning Artificial intelligence Support vector machines Learning to rank Hinge loss Ranking SVM Structured support vector machine Empirical risk minimization Mathematical optimization Supervised learning Distribution