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Learning to rank
Results: 420

#	Item
111	Machine Learning Approach for Homepage Finding Task Wensi Xi and Edward A. Fox Department of Computer Science Virginia Polytechnic Institute and State University ABSTRACT Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2002-02-12 08:35:10 Search engine indexing Relevance feedback Mean reciprocal rank Stemming Anchor text Full text search Learning to rank Information science Information retrieval Document retrieval
112	D:/D_drive/Maryam/Papers/WWW2011_newFormat/fr370-karimzadehgan.dvi Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2013-04-05 04:39:48 Machine learning Information retrieval Numerical analysis Mathematical optimization Learning to rank Natural language processing Ranking SVM Simulated annealing Algorithm Information science Mathematics Science
113	IIT at TREC-2003 Task Classification & Document Structure for Known-Item Search Steve Beitzel, Eric Jensen, Rebecca Cathey, Ling Ma David Grossman, Ophir Frieder Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2004-02-12 14:07:09 Text Retrieval Conference Search engine indexing Okapi BM25 Full text search Precision and recall Learning to rank Human–computer information retrieval Information science Information retrieval Document retrieval
114	About Learning Models with Multiple Query Dependent Features CRAIG MACDONALD, RODRYGO L.T. SANTOS and IADH OUNIS University of Glasgow, UK BEN HE University of Chinese Academy of Sciences Add to Reading List Source URL: www.dcs.gla.ac.uk Language: English - Date: 2013-02-26 08:10:47 Okapi BM25 Tf*idf A-weighting Search engine indexing Language model Binary Independence Model Information science Information retrieval Learning to rank
115	TREC-8 Ad-Hoc, Query and Filtering Track Experiments using PIRCS K.L. Kwok, L. Grunfeld and M. Chan Computer Science Department, Queens College, CUNY Flushing, NY 11367 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2000-02-08 13:03:46 Text Retrieval Conference Relevance Query expansion Precision and recall Document retrieval Relevance feedback Learning to rank Information science Information retrieval Science
116	Searching Archives of Community Knowledge Research and Education Activities: One of the emerging trends in web information services has been the growth in sites where people answer other peoples’ questions. This inclu Add to Reading List Source URL: ciir.cs.umass.edu Language: English - Date: 2010-07-27 09:08:36 Web query classification Web search query Information science Information retrieval Learning to rank
117	THUIR at NTCIR-11 IMine Task Subtopic Mining Cheng Luo, Xin Li, Alisher Khodzhaev, Fei Chen, Keyang Xu, Yujie Cao, Yiqun Liu, Min Zhang, Shaoping Ma Department of Computer Science and Technology, Add to Reading List Source URL: research.nii.ac.jp Language: English - Date: 2015-01-05 21:56:51 Information retrieval Natural language processing Machine learning Search algorithms Computational linguistics Learning to rank Brute-force search Bin Ranking Information science Science Artificial intelligence
118	Proceedings of the 11th NTCIR Conference, December 9-12, 2014, Tokyo, Japan THUSAM at NTCIR-11 IMine Task Cheng Luo, Xin Li, Alisher Khodzhaev, Fei Chen, Keyang Xu, Yujie Cao, Yiqun Liu, Min Zhang, Shaoping Ma State Key Add to Reading List Source URL: research.nii.ac.jp Language: English - Date: 2014-11-26 23:45:56 Statistics Information retrieval Machine learning Computational linguistics Data mining Cluster analysis Hierarchical clustering Learning to rank N-gram Information science Science Natural language processing
119	Noname manuscript No. (will be inserted by the editor) LETOR: A Benchmark Collection for Research on Learning to Rank for Information Retrieval Tao Qin · Tie-Yan Liu · Jun Xu · Hang Li Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2010-01-06 00:29:06 Learning to rank Ranking function Tf*idf Document classification Ranking SVM Search engine indexing Document retrieval Language model Okapi BM25 Information science Information retrieval Science
120	Hang Li Current Position Director of Noah’s Ark Lab, Huawei Technologies Co. Ltd. 5F Core Building 2, Hong Kong Science Park, Shatin, New Territories, Hong Kong Email: Tel: ( Add to Reading List Source URL: www.hangli-hl.com Language: English - Date: 2015-02-16 08:05:14 Learning to rank Science Information Information retrieval Natural language processing Special Interest Group on Information Retrieval

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