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Learning to rank
Results: 420

#	Item
261	ListBM: A Learning-to-Rank Method for XML Keyword Search Ning Gao, Zhi-Hong Deng, Yong-Qing Xiang, and Yu Hang Key Laboratory of Machine Perception (Ministry of Education) School of Electronic Engineering and Computer Sc Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-09-16 17:44:09 Learning to rank Okapi BM25 BM25 Tf*idf Precision and recall Relevance Loss function Search engine indexing XML Information science Information retrieval Science
262	ListOPT: Learning to Optimize for XML Ranking Ning Gao1 , Zhi-Hong Deng1 2 , Hang Yu1 , and Jia-Jian Jiang1 1 Key Laboratory of Machine Perception (Ministry of Education), Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-09-16 17:44:19 Ranking SVM Ranking function BM25 XML-Retrieval Tf*idf Cosine similarity Okapi BM25 Information science Information retrieval Learning to rank
263	ASSURANCE SECTION REPORT OF A COMPREHENSIVE EVALUATION VISIT TO THE UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN Champaign, IL October 11-14, 2009 For The Higher Learning Commission Add to Reading List Source URL: www.reaccreditation.illinois.edu Language: English - Date: 2010-02-15 11:02:41 Academic administrators University governance Provost University of Illinois at Urbana–Champaign Chancellor Student affairs Academic administration Academic rank in the United States UIUC College of Media Education Knowledge Academia
264	Cumulative Progress in Language Models for Information Retrieval Antti Puurula The University of Waikato Private Bag 3105 Hamilton 3240, New Zealand [removed] Add to Reading List Source URL: www.cms.waikato.ac.nz Language: English - Date: 2013-12-09 21:28:44 Natural language processing Text Retrieval Conference Learning to rank Relevance Stephen Robertson Human–computer information retrieval Information science Information retrieval Science
265	Microsoft PowerPoint - icml_poster5.ppt Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-05-23 14:27:24 Learning International Conference on Machine Learning Learning to rank E-learning Machine learning Artificial intelligence Education
266	Learning Routing Queries in a Query Zone Amit Singhaly, Mandar Mitraz, Chris Buckleyyy AT&T Labs Research; [removed] Department of Computer Science, Cornell University; [removed] yySabir Resear Add to Reading List Source URL: singhal.info Language: English - Date: 2007-08-16 20:14:04 Relevance feedback Rocchio Classification Text Retrieval Conference Vector space model Relevance Document retrieval Precision and recall Learning to rank Concept Search Information science Information retrieval Science
267	Supervised Ranking of Co-occurrence Profiles for Acquisition of Continuous Lexical Attributes Julian Brooke Department of Computer Science University of Toronto [removed] Add to Reading List Source URL: ftp.cs.toronto.edu Language: English - Date: 2014-06-09 12:33:31 Information retrieval Lexical semantics Speech recognition Lexicon Learning to rank Natural language processing Lexical item Vocabulary Support vector machine Linguistics Science Computational linguistics
268	An Exploration of Postings List Contiguity in Main-Memory Incremental Indexing Nima Asadi1,2 , Jimmy Lin3,2,1 1 Dept. of Computer Science, 2 Institute for Advanced Computer Studies, 3 The iSchool Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-03-02 14:54:18 Search engine indexing Document retrieval Contiguity Tf*idf Learning to rank Extensible Storage Engine Full text search Database index Hash table Information science Information retrieval Inverted index
269	Microsoft Cambridge at TREC 2002: Filtering track S E Robertson S Walker H Zaragoza Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2003-02-13 11:55:46 Information Relevance feedback Text Retrieval Conference Relevance Precision and recall Perceptron Support vector machine Query expansion Learning to rank Information science Information retrieval Science
270	Cumulative Citation Recommendation: A Feature-aware Comparisons of Approaches Gebrekirstos G. Gebremeskel ∗ , Jiyin He∗ , Arjen P. de Vries∗ and Jimmy Lin† ∗ CWI, Amsterdam, The Netherlands Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-16 17:56:56 Text Retrieval Conference Learning to rank Feature selection Random forest Document retrieval Search engine indexing Feature Information science Information retrieval Science

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