Ranking function

Results: 209



#Item
31Relevance feedback / Tf*idf / Precision and recall / Relevance / Search engine indexing / Okapi BM25 / Ranking function / Information science / Information retrieval / Query expansion

Ricoh Research at TREC 2006: Enterprise Track Ganmei You, Yaojie Lu, Gang Li, Yueyan Yin Ricoh Software Research Center Beijing Co., Ltd, Beijing, China {ganmei.you, yaojie.lu, gang.li, yueyan.yin}@srcb.ricoh.com 1. Abs

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Source URL: trec.nist.gov

Language: English - Date: 2007-02-16 13:07:45
32Precision and recall / Ranking function / Query likelihood model / Relevance / Tf*idf / Search engine indexing / Variance / Relevance feedback / Fuzzy retrieval / Information science / Information retrieval / Science

Million Query Track 2007 Overview James Allan*, Ben Carterette*, Javed A. Aslam+, Virgil Pavlu+, Blagovest Dachev*, and Evangelos Kanoulas+ * Center for Intelligent Information Retrieval, Department of Computer Science U

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Source URL: trec.nist.gov

Language: English - Date: 2008-05-13 09:31:51
33BM25 / Query expansion / Relevance / Google Search / PageRank / Search engine optimization / Discounted cumulative gain / Search engine indexing / Bing / Information science / Information retrieval / Ranking function

Evaluating Learning-to-Rank Methods in the Web Track Adhoc Task. Leonid Boytsov and Anna Belova , TREC-20, November 2011, Gaithersburg, Maryland, USA

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Source URL: trec.nist.gov

Language: English - Date: 2012-02-03 09:41:36
34Okapi BM25 / Text Retrieval Conference / Relevance / Language model / Tf*idf / Probabilistic relevance model / Ranking function / Precision and recall / N-gram / Information science / Information retrieval / Science

A Generation Model to Unify Topic Relevance and Lexicon-based Sentiment for Opinion Retrieval Min Zhang Xingyao Ye

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Source URL: www.thuir.cn

Language: English - Date: 2008-12-23 05:27:37
35Learning to rank / Relevance / Ranking function / IR evaluation / Discounted cumulative gain / Yandex / Web search engine / Search engine / Ranking / Information science / Information retrieval / Science

Quality-biased Ranking for Queries with Commercial Intent Alexander Shishkin Polina Zhinalieva

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Source URL: www2013.org

Language: English - Date: 2014-07-21 08:46:54
36Query expansion / Search engine indexing / Precision and recall / Document retrieval / Ranking function / Text Retrieval Conference / Information science / Information retrieval / Science

Efficiency Trade-Offs in Two-Tier Web Search Systems Ricardo Baeza-Yates Yahoo! Research DiagonalBarcelona Spain

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Source URL: labs.yahoo.com

Language: English - Date: 2013-04-05 04:39:36
37Science / Learning to rank / Machine learning / Ranking function / Ranking / Blog / Information science / Information retrieval / Natural language processing

University of Glasgow at TREC 2010: Experiments with Terrier in Blog and Web tracks Rodrygo L. T. Santos, Richard McCreadie, Craig Macdonald, and Iadh Ounis School of Computing Science University of Glasgow G12 8QQ, Glas

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Source URL: terrierteam.dcs.gla.ac.uk

Language: English - Date: 2011-03-03 07:13:46
38Query expansion / Ranking function / Relevance feedback / Document retrieval / Search engine indexing / Information science / Information retrieval / Tf*idf

Query by Document Yin Yang Nilesh Bansal Wisam Dakka

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Source URL: www.wsdm2009.org

Language: English - Date: 2009-04-14 09:42:34
39Ranking function / Web search query / Nearest neighbor search / Document retrieval / Relevance / Google Search / Information science / Information retrieval / Query expansion

Selectively Diversifying Web Search Results Rodrygo L. T. Santos Craig Macdonald

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Source URL: terrierteam.dcs.gla.ac.uk

Language: English - Date: 2010-08-16 08:20:50
40Query expansion / Web search query / Full text search / Lemur Project / Precision and recall / Google Search / Query / Ranking function / Relevance / Information science / Information retrieval / Relevance feedback

Microsoft Word - trec-hard2005-Rutgers.doc

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Source URL: trec.nist.gov

Language: English - Date: 2006-02-21 09:28:44
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