Query expansion

Results: 818



#Item
151Learning to rank / Relevance / Text Retrieval Conference / Query expansion / Precision and recall / Discounted cumulative gain / Document retrieval / Google Search / Search engine / Information science / Information retrieval / Relevance feedback

Helioid at TREC-Legal 2011: Learning to Rank from Relevance Feedback for e-Discovery Peter Lubell-Doughtie and Kenneth Hamilton Helioid Inc., New York, NY, USA {peter,kenneth}@helioid.com

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Source URL: trec.nist.gov

Language: English - Date: 2012-02-03 09:41:35
152Information retrieval / Computational linguistics / Knowledge representation / Natural language processing / Semantic Web / WordNet / Query expansion / Document retrieval / Latent semantic analysis / Information science / Science / Information

Of mice and terms: clustering algorithms on ambiguous terms in folksonomies

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Source URL: speroni.web.cs.unibo.it

Language: English - Date: 2013-02-22 04:07:50
153Lemur Project / Text Retrieval Conference / Relevance feedback / Relevance / Document retrieval / Query expansion / Precision and recall / Search engine indexing / Information science / Information retrieval / Science

DUTIR at TREC 2006: Genomics and Enterprise Tracks Zhihao Yang, Hongfei Lin, Yanpeng Li, Linhong Xu, Yu Pan and Baoyan Liu Department of Computer Science and Technology, Dalian University of Technology No 2 LingGong Road

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Source URL: trec.nist.gov

Language: English - Date: 2007-02-16 13:07:39
154Image search / Artificial intelligence applications / Content-based image retrieval / Relevance feedback / Image retrieval / Relevance / Recommender system / Query expansion / Human–computer information retrieval / Information science / Information retrieval / Science

EGO: A Personalized Multimedia Management and Retrieval Tool Jana Urban,* Joemon M. Jose † Department of Computing Science, University of Glasgow, 17 Lilybank Gardens, Glasgow, G12 8RZ, UK

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

Language: English - Date: 2008-01-05 03:28:40
155Relevance feedback / Relevance / Search engine indexing / Query expansion / Rocchio Classification / Information science / Information retrieval / Science

Information Processing and Management–190 www.elsevier.com/locate/infoproman An implicit feedback approach for interactive information retrieval Ryen W. White

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

Language: English - Date: 2008-01-05 03:55:08
156Relevance feedback / Twitter / Query expansion / Query likelihood model / Language model / Learning to rank / Document classification / Stemming / Information science / Information retrieval / Science

Author Model and Negative Feedback Methods on TREC 2011 Microblog Track Rui Li1,2 , Bingjie Wei1,2 , Kai Lu1,2 , Bin Wang1 1 Institute of Computing Technology, Chinese Academy of Sciences Beijing, China, 100190

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Source URL: trec.nist.gov

Language: English - Date: 2012-02-03 09:41:30
157Query 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
158Query 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
159Relevance 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
160Text Retrieval Conference / Metadata / Query expansion / Search engine indexing / Document retrieval / Information science / Information retrieval / Science

ISCAS at TREC-2004: HARD Track Le Sun Junlin Zhang

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Source URL: trec.nist.gov

Language: English - Date: 2005-02-15 09:26:52
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