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Learning to rank
Results: 420

#	Item
221	Introduction and Motivation Information Retrieval Basics A File System Search Security Model Implementation I: Postprocessing Implementation II: Query Integration Summary Add to Reading List Source URL: stefan.buettcher.org Language: English - Date: 2006-04-07 00:53:44 Vector space model Okapi BM25 Search engine indexing Inverted index Query language Learning to rank Book:Information retrieval Information science Information retrieval Tf*idf
222	RETURN TO STUDY: VCE and VCAL VCE and VCAL as pathways to tertiary study, more satisfying work opportunities, new careers and personal enrichment VICTORIAN CURRICULUM Add to Reading List Source URL: www.vcaa.vic.edu.au Language: English - Date: 2014-11-05 11:09:26 Education in Australia Victorian Certificate of Education Victorian Certificate of Applied Learning Victorian Curriculum and Assessment Authority Australian Qualifications Framework Senior Secondary Certificate of Education General Achievement Test Education in Victoria Equivalent National Tertiary Entrance Rank Education States and territories of Australia Australian Certificate of Education
223	Mirror Mirror: Crowdsourcing Better Portraits Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-10-21 16:35:25 Concepts Emotion Limbic system Physical attractiveness Facial expression Learning to rank Level of measurement Anger Least squares Mind Statistics Ethology
224	Query Chains: Learning to Rank from Implicit Feedback Filip Radlinski Thorsten Joachims Department of Computer Science Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2005-06-13 14:32:51 Ranking function Relevance feedback Ranking SVM Google Search Web search query Search engine Document retrieval Bing Web query classification Information science Information retrieval Learning to rank
225	Learning to Rank for Information Retrieval Tie-Yan Liu Lead Researcher Microsoft Research Asia Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-07 05:09:12 Learning to rank IR evaluation Ranking function Machine learning Ranking Information science Information retrieval Science
226	ACML 2009 Tutorial Nov. 2, 2009 Nanjing Learning to Rank Hang Li Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-05-20 05:04:30 Ranking Information Science Information retrieval Learning to rank Machine learning
227	Suppressing Outliers in Pairwise Preference Ranking Vitor R. Carvalho, Jonathan L. Elsas, William W. Cohen and Jaime G. Carbonell Language Technologies Institute Carnegie Mellon University {vitor,jelsas,wcohen,jgc}@cs.c Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-10-16 10:36:38 Information retrieval Learning to rank Perceptron Ranking function Ranker Outlier Support vector machine Statistics Machine learning Neural networks
228	Learning to Rank Typed Graph Walks: Local and Global Approaches Einat Minkov William W. Cohen Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-07-09 10:54:02 Network theory Algebraic graph theory Centrality Network analysis Networks Shortest path problem Connectivity Tree decomposition Power graph analysis Graph theory Mathematics Theoretical computer science
229	Learning to Rank for Information Retrieval Tie-Yan Liu Lead Researcher Microsoft Research Asia[removed] Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-07 05:09:11 Artificial intelligence Science Learning to rank Natural language processing Supervised learning Yan Machine learning Information science Information retrieval
230	ACL-IJCNLP 2009 Tutorial Aug. 2, 2009 Singapore Learning to Rank Hang Li Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-17 21:50:34 Natural language processing Artificial intelligence Machine learning Computational linguistics Learning to rank Automatic summarization Supervised learning Question answering Information science Science Information retrieval

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