Query expansion

Results: 818



#Item
761TRECVID / Speech recognition / Query expansion / Precision and recall / Video search engine / Relevance feedback / Document retrieval / Google Search / Information science / Information retrieval / Science

TRECVID 2005 by NUS PRIS Tat-Seng Chua, Shi-Yong Neo, Hai-Kiat Goh, Ming Zhao, Yang Xiao and Gang Wang School of Computing, National University of Singapore Sheng Gao, Kai Chen, Qibin Sun and Tian Qi Institute for Infoco

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Source URL: www.zhaoming.name

Language: English - Date: 2008-12-03 12:06:28
762Speech recognition / Query expansion / Google Search / Relevance feedback / Image retrieval / Information science / Information retrieval / Web query classification

Microsoft Word[removed]2004trecvid.doc

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Source URL: www.zhaoming.name

Language: English - Date: 2008-12-03 12:06:03
763Speech recognition / Query expansion / Google Search / Relevance feedback / Image retrieval / Information science / Information retrieval / Web query classification

Microsoft Word[removed]2004trecvid.doc

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Source URL: www.mingzhao.name

Language: English - Date: 2009-04-24 01:57:41
764TRECVID / Speech recognition / Query expansion / Precision and recall / Video search engine / Relevance feedback / Document retrieval / Google Search / Information science / Information retrieval / Science

TRECVID 2005 by NUS PRIS Tat-Seng Chua, Shi-Yong Neo, Hai-Kiat Goh, Ming Zhao, Yang Xiao and Gang Wang School of Computing, National University of Singapore Sheng Gao, Kai Chen, Qibin Sun and Tian Qi Institute for Infoco

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Source URL: www.mingzhao.name

Language: English - Date: 2009-04-24 01:57:41
765Query expansion / Relevance / Language model / Text Retrieval Conference / Precision and recall / Enterprise search / Extended Boolean model / Relevance feedback / Information science / Information retrieval / Science

Combining Candidate and Document Models for Expert Search Krisztian Balog Maarten de Rijke ISLA, University of Amsterdam

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Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:14
766Science / Internet search / Natural language processing / Machine learning / Web query classification / Web search query / Conditional random field / Query expansion / Document classification / Information science / Software / Information retrieval

Context-Aware Query Classification ∗ 1 Huanhuan Cao1

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Source URL: research.microsoft.com

Language: English - Date: 2009-06-23 08:16:35
767Probabilistic relevance model / Query expansion / Query likelihood model / Precision and recall / Okapi BM25 / Tf*idf / Relevance / Language model / Stemming / Information science / Information retrieval / Science

Back to the Roots: A Probabilistic Framework for Query-Performance Prediction Oren Kurland1 [removed] Fiana Raiber1 [removed]

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Source URL: iew3.technion.ac.il

Language: English - Date: 2012-09-04 06:47:52
768Search engine indexing / Search engine / Relevance feedback / Google Search / Human–computer information retrieval / Document retrieval / Information science / Information retrieval / Query expansion

Placing Search in Context: The Concept Revisited† Lev Finkelstein, Evgeniy Gabrilovich‡, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman and Eytan Ruppin Zapper Technologies Inc.

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Source URL: www.cs.technion.ac.il

Language: English - Date: 2002-02-04 12:10:12
769Vector space model / Latent semantic analysis / Tf*idf / Latent semantic indexing / Probabilistic latent semantic analysis / Learning to rank / Latent Dirichlet allocation / Query expansion / Search engine indexing / Information science / Information retrieval / Science

Supervised Semantic Indexing Bing Bai, Jason Weston, Ronan Collobert, and David Grangier NEC Labs America, 4 Independence Way, Princeton, USA 08540 {bbai,jasonw,collober,dgrangier}@nec-labs.com

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Source URL: david.grangier.info

Language: English - Date: 2010-12-15 14:11:58
770Relevance feedback / Fuzzy retrieval / Uncertain inference / Query expansion / Relevance / Bayesian network / Probabilistic relevance model / Information science / Information retrieval / Science

Probabilistic Models in Information Retrieval Norbert Fuhr Abstract In this paper, an introduction and survey over probabilistic information retrieval (IR) is given. First, the basic concepts of this approach are describ

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Source URL: www.is.informatik.uni-duisburg.de

Language: English - Date: 2013-04-11 00:30:17
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