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Learning to rank
Results: 420

#	Item
321	Learning Diverse Rankings with Multi-Armed Bandits Filip Radlinski Robert Kleinberg Thorsten Joachims Department of Computer Science, Cornell University, Ithaca, NY[removed]USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-04-29 13:31:16 Information Learning to rank PageRank Precision and recall Relevance Discounted cumulative gain Search engine indexing Ranking function Algorithm Information science Information retrieval Science
322	Query-Level Stability and Generalization in Learning to Rank Yanyan Lan* [removed] Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, P. R. China. Tie-Yan Liu Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-21 03:01:10 Ranking SVM Statistical classification Stability Learning Learning to rank Information retrieval Statistics Support vector machines Artificial intelligence
323	Learning Random Walks to Rank Nodes in Graphs Alekh Agarwal Soumen Chakrabarti IIT Bombay Abstract Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:26:20 Multivariable calculus PageRank Reputation management Search engine optimization Laplace operator Kullback–Leibler divergence Linear temporal logic Mathematical analysis Calculus Differential operators
324	D:/Users/Documents/FY2009/Paper Writing/ICML 2009/Real final/Real final/RA_Bound.dvi Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:38 Machine learning Stability Function Logarithm Mathematics Information retrieval Learning to rank
325	Active Learning of Label Ranking Functions Klaus Brinker [removed] International Graduate School of Dynamic Intelligent Systems, University of Paderborn, 33098 Paderborn, Germany Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:01 Margin classifier Supervised learning Support vector machine Linear classifier Active learning Learning to rank Binary classification Naive Bayes classifier Total order Statistics Machine learning Statistical classification
326	PDF Document Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:27 Learning to rank Machine learning Artificial intelligence Combinatorics Ranking SVM Pairwise Permutation Support vector machine Function Statistics Mathematics Information retrieval
327	The University of Illinois’ Graduate School of Library and Information Science at TREC 2012 Miles Efron, Jana Deisner, Peter Organisciak, Garrick Sherman, Ana Lucic Graduate School of Library and Information Science Un Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2013-02-12 08:11:21 Relevance feedback Query likelihood model Learning to rank Relevance Tf*idf Language model Search engine indexing Precision and recall Discounted cumulative gain Information science Information retrieval Science
328	University of Glasgow at TREC 2012: Experiments with Terrier in Medical Records, Microblog, and Web Tracks Nut Limsopatham, Richard McCreadie, M-Dyaa Albakour, Craig Macdonald, Rodrygo L. T. Santos, and Iadh Ounis {nutli Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2013-02-12 08:11:22 Relevance feedback Learning to rank Query expansion Relevance Twitter Word-sense disambiguation Text Retrieval Conference Information science Information retrieval Science
329	Learning to Rank using Gradient Descent Chris Burges Tal Shaked∗ Erin Renshaw Microsoft Research, One Microsoft Way, Redmond, WA[removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:31 Cybernetics Computational neuroscience Artificial intelligence Computational statistics Artificial neural network Supervised learning Learning to rank Perceptron Pattern recognition Neural networks Machine learning Statistics
330	UMD and USC/ISI: TREC 2010 Web Track Experiments with Ivory Tamer Elsayed,1 Nima Asadi,1 Donald Metzler,2 Lidan Wang,1 Jimmy Lin1 1 University of Maryland, College Park Information Sciences Institute, University of South Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2011-03-01 11:52:17 Learning to rank Text Retrieval Conference Ranking function PageRank Spamdexing Adversarial information retrieval Google Search Anti-spam techniques Relevance feedback Information science Information retrieval TrustRank

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