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Learning to rank
Results: 420

#	Item
21	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: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Statistics Information science Information retrieval Machine learning Learning to rank Monotone likelihood ratio K-nearest neighbors algorithm Random sample consensus
22	C:/Users/kevynct/Documents/sigir11-enir/sigir2011-rd-position.dvi Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2011-06-25 11:59:44 Information science Information retrieval Internet search engines Query expansion Google Search Humancomputer information retrieval Learning to rank
23	Core Machine Learning Techniques for Information Retrieval Luo Si Rong Jin Add to Reading List Source URL: www.sigir2011.org Language: English - Date: 2011-07-24 21:02:12 Machine learning Supervised learning Pattern recognition Learning to rank Semi-supervised learning Dimensionality reduction Deep learning Feature learning
24	Top-N Recommendation with Missing Implicit Feedback Daryl Lim Julian McAuley Gert Lanckriet Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:25 Machine learning Psychometrics Information retrieval evaluation Nonparametric statistics Recommender system Precision and recall Learning to rank Missing data Ranking Scale
25	Microsoft Word - LR4IR2009.v4-camera-nomark.doc Add to Reading List Source URL: www.sogou.com Language: English - Date: 2016-06-28 04:30:57 Machine learning Learning Learning to rank Ranking SVM Support vector machine PageRank Ranking Stability Document retrieval Information retrieval Feature selection Supervised learning
26	Measuring the Reusability of Test Collections Ben Carterette† , Evgeniy Gabrilovich‡ , Vanja Josifovski‡ , Donald Metzler‡ † Department of Computer & Information Sciences, University of Delaware, Newark, DE ‡ Add to Reading List Source URL: ir.cis.udel.edu Language: English - Date: 2010-07-27 14:06:45 Information retrieval evaluation Statistical inference Information science Measurement Natural language processing Precision and recall Learning to rank Confidence interval Information retrieval Discounted cumulative gain Relevance Standard error
27	To Swing or not to Swing: Learning when (not) to Advertise Andrei Broder† , Massimiliano Ciaramita‡ , Marcus Fontoura, Evgeniy Gabrilovich† , Vanja Josifovski† , Donald Metzler† , Vanessa Murdock‡ , Vassilis Add to Reading List Source URL: fontoura.org Language: English - Date: 2010-02-23 00:22:02 Internet marketing Support vector machine Learning to rank Quality Score Online advertising Search advertising Pay per click Targeted advertising Feature selection Advertising Ranking
28	Interactive Exploratory Search for Multi Page Search Results Xiaoran Jin and Marc Sloan∗and Jun Wang Department of Computer Science University College London Add to Reading List Source URL: www2013.org Language: English - Date: 2014-07-21 08:47:08 Information retrieval evaluation Search algorithms Natural language processing Relevance feedback Ranking Learning to rank Discounted cumulative gain Information retrieval Relevance Query expansion Rocchio algorithm Search engine indexing
29	MultiText Legal Experiments at TREC 2007 Stefan Büttcher, Charles L. A. Clarke, Gordon V. Cormack, Thomas R. Lynam David R. Cheriton School of Computer Science University of Waterloo Waterloo, Ontario, Canada Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2008-02-11 08:18:55 Natural language processing Relevance feedback Information retrieval Okapi BM25 Ranking Document retrieval Search engine indexing Search engine N-gram Learning to rank
30	Metric Learning to Rank Brian McFee Department of Computer Science and Engineering, University of California, San Diego, CAUSA Gert Lanckriet Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Machine learning Search algorithms Structured prediction Learning Learning to rank Support vector machine K-nearest neighbors algorithm Ranking SVM