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Results: 4342

#	Item
941	Dynamic Tuning for Fusion: Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2006-02-21 09:28:38 Information Bayesian spam filtering Query expansion Relevance feedback Email spam Precision and recall Spam Google Search Information science Information retrieval Science
942	Homepage Finding and Topic Distillation using a Common Retrieval Strategy Vo Ngoc Anh Alistair Moffat Department of Computer Science and Software Engineering The University of Melbourne Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2003-02-13 12:02:37 Document retrieval Vector space model Search engine indexing Tf*idf Query expansion Subject Relevance Precision and recall Index Information science Information retrieval Science
943	TREC 2005 Genomics Track at I2R Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2007-02-16 13:07:42 Text Retrieval Conference Relevance feedback Search engine indexing Relevance Document retrieval Query expansion Concept Search Learning to rank Information science Information retrieval Okapi BM25
944	CIIR Experiments for TREC Legal 2007 Howard Turtle CogiTech Jackson, WY Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2008-02-05 12:06:38 Relevance feedback Text Retrieval Conference Precision and recall Query expansion Relevance Document retrieval Search engine indexing Concept Search Human–computer information retrieval Information science Information retrieval Science
945	Microsoft Word - proceeding.doc Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2006-02-21 09:28:39 Tf*idf WordNet Query expansion Relevance Vector space model Word-sense disambiguation Information science Information retrieval Science
946	Evidence Combination for Multi-Point Query Learning in Content-Based Image Retrieval Jana Urban and Joemon M. Jose University of Glasgow Department of Computing Science 17 Lilybank Gardens, Glasgow, G12 8RZ, UK Add to Reading List Source URL: www.dcs.gla.ac.uk Language: English - Date: 2008-01-05 07:44:54 Image retrieval Relevance Nearest neighbor search Content-based image retrieval Cluster analysis Query expansion Precision and recall Database Extensible Storage Engine Information science Information retrieval Science
947	Yonsei/ETRI at TREC-10: Utilizing Web Document Properties Dong-Yul Ra, Eui-Kyu Park and Joong-Sik Jang Computer Science Dept., Yonsei University {dyra, ekpark, lunch}@dragon.yonsei.ac.kr Myung-Gil Jang and Chung Hee Lee Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2002-02-12 08:35:10 Text Retrieval Conference Relevance feedback Anchor text Search engine indexing Document retrieval Uniform resource identifier Hyperlink Precision and recall Relevance Information science Information retrieval Science
948	A HYBRID MODEL OF REASONING BY ANALOGY Boicho Nikolov Kokinov Institute of Mathematics Bulgarian Academy of Sciences Bl.8, Acad. G. Bonchev Street Sofia 1113, BULGARIA Add to Reading List Source URL: www.nbu.bg Language: English - Date: 2010-08-05 13:55:40 Educational psychology Problem solving Cognition Memory Critical thinking Analogy Keith Holyoak Relevance Priming Science Cognitive science Mind
949	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 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2008-05-13 09:31:51 Precision and recall Ranking function Query likelihood model Relevance Tf*idf Search engine indexing Variance Relevance feedback Fuzzy retrieval Information science Information retrieval Science
950	Mining User Web Search Activity with Layered Bayesian Networks or How to Capture a Click in its Context Benjamin Piwowarski ∗ Add to Reading List Source URL: www.wsdm2009.org Language: English - Date: 2009-04-14 09:42:00 Learning to rank Web search query Relevance HTTP cookie Web query classification Information science Information retrieval Relevance feedback

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