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Results: 4342



#Item
881PageRank / Reputation management / Search engine optimization / Relevance feedback / Uniform resource identifier / Okapi BM25 / Information science / Information retrieval / Crowdsourcing

Overview of the TREC-2002 Web Track Nick Craswell and David Hawking CSIRO Mathematical and Information Sciences, Canberra, Australia {Nick.Craswell,David.Hawking}@csiro.au

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Source URL: trec.nist.gov

Language: English - Date: 2003-04-16 09:48:52
882Query expansion / Okapi BM25 / Relevance / Precision and recall / Language model / Search engine indexing / Zettair / Relevance feedback / Web query classification / Information science / Information retrieval / Query likelihood model

RMIT University at TREC 2005: Terabyte and Robust Track Yaniv Bernstein Bodo Billerbeck Steven Garcia Nicholas Lester Falk Scholer Justin Zobel School of Computer Science and Information Technology RMIT University, GPO B

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Source URL: trec.nist.gov

Language: English - Date: 2006-02-21 09:28:41
883Relevance feedback / Document retrieval / Precision and recall / Search engine indexing / Text Retrieval Conference / Document classification / Ranking function / Okapi BM25 / Relevance / Information science / Information retrieval / Science

Structured Queries for Legal Search Yangbo Zhu Le Zhao Jamie Callan

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Source URL: trec.nist.gov

Language: English - Date: 2008-02-05 08:23:36
884Natural language processing / Computational linguistics / Text Retrieval Conference / Question answering / Wikipedia / Relevance / Yes and no / Information science / Information retrieval / Science

CSAIL at TREC 2007 Question Answering Boris Katz, Sue Felshin, Gregory Marton, Federico Mora, Yuan K. Shen, Gabriel Zaccak, Ammar Ammar, Eric Eisner, Asli Turgut, L. Brown Westrick MIT Computer Science and Artificial Int

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Source URL: trec.nist.gov

Language: English - Date: 2008-02-06 14:11:36
885Query expansion / Relevance feedback / Precision and recall / Tf*idf / Relevance / Text Retrieval Conference / Language model / Information science / Information retrieval / Science

HIT_LTRC at TREC 2011 Microblog Track Yun Li, Xishuang Dong, Yi Guan {nicyun,dongxishuang}@gmail.com, Abstract. This paper describes our entry into the TREC 2011 Microblog track. We submitted two runs i

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Source URL: trec.nist.gov

Language: English - Date: 2012-03-07 08:47:03
886Relevance feedback / Relevance / Ranking function / Precision and recall / Query expansion / H5 / Distillation / Text Retrieval Conference / Information science / Information retrieval / Science

Mercure at TREC’2003 Web track – Topic Distillation task MOHAND BOUGHANEM, KAREN SAUVAGNAT, CECILE LAFFAIRE IRIT- SIG, 118 Rte de Narbonne, FToulouse CEDEX 4

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Source URL: trec.nist.gov

Language: English - Date: 2004-02-12 14:07:11
887Relevance / Discounted cumulative gain / Precision and recall / Text Retrieval Conference / Information science / Information retrieval / Science

Overview of the TREC 2011 Session Track Evangelos Kanoulas∗ 1 Ben Carterette†

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Source URL: trec.nist.gov

Language: English - Date: 2012-05-18 06:40:35
888Vector space model / Document retrieval / Tf*idf / Relevance / Search engine indexing / Query expansion / Text Retrieval Conference / Information science / Information retrieval / Relevance feedback

JHU/APL at TREC 2004: Robust and Terabyte Tracks Christine Piatko, James Mayfield, Paul McNamee, and Scott Cost Research and Technology Development Center The Johns Hopkins University Applied Physics LaboratoryJoh

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Source URL: trec.nist.gov

Language: English - Date: 2005-02-10 13:20:36
889Information / Natural language processing / Machine learning / Relevance / Ranking function / Document classification / Sentiment analysis / Relevance feedback / Information science / Information retrieval / Science

SIGIR 2008, Singapore A Generation Model To Unify Topic Relevance and Lexicon-based Sentiment For Opinion Retrieval

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Source URL: www.thuir.cn

Language: English - Date: 2008-09-05 09:08:19
890Image retrieval / Video search engine / Content-based image retrieval / Relevance / Document retrieval / Key frame / Search engine indexing / Web search engine / Concept Search / Information science / Information retrieval / Text Retrieval Conference

SEARCHING AND BROWSING OF VIDEO CONTENT USING VIEWFINDER

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Source URL: trec.nist.gov

Language: English - Date: 2003-02-13 11:59:14
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