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Query likelihood model
Results: 40

#	Item
31	DUTIR at TREC 2009: Chemical IR Track Song Jin, Zheng Ye, Hongfei Lin Information Retrieval Lab, Dalian University of Technology No. 2 LingGong Road GanJingZi District, Dalian[removed], China {jinsong, zye}@mail.dlut.edu.c Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2010-02-03 09:16:06 Tf*idf Relevance feedback Query likelihood model Query expansion Language model Relevance Okapi BM25 Probabilistic relevance model Information science Information retrieval Science
32	Incorporating Non-Relevance Information in the Estimation of Query Models Edgar Meij Wouter Weerkamp Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2009-02-10 08:12:17 Information Relevance feedback Relevance Precision and recall Maximum likelihood Language model Document retrieval Probabilistic relevance model Universal IR Evaluation Information science Information retrieval Science
33	A Quasi-Synchronous Dependence Model for Information Retrieval Jae-Hyun Park, W. Bruce Croft and David A. Smith Center for Intelligent Information Retrieval Department of Computer Science University of Massachusetts, Amh Add to Reading List Source URL: www.ccs.neu.edu Language: English - Date: 2011-12-14 22:40:35 Document retrieval N-gram Query expansion Language model Search engine indexing Query likelihood model Tf*idf Extended Boolean model Fuzzy retrieval Information science Information retrieval Science
34	Sampling Search-Engine Results Aris Anagnostopoulos ∗ Dept. of Computer Science Add to Reading List Source URL: www2005.org Language: English - Date: 2005-03-31 03:58:14 Statistical inference Monte Carlo methods Natural language processing Sampling Resampling Probability Query likelihood model Order statistic Statistics Information science Information retrieval
35	The University of Illinois’ Graduate School of Library and Information Science at TREC 2012 Miles Efron, Jana Deisner, Peter Organisciak, Garrick Sherman, Ana Lucic Graduate School of Library and Information Science Un Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2013-02-12 08:11:21 Relevance feedback Query likelihood model Learning to rank Relevance Tf*idf Language model Search engine indexing Precision and recall Discounted cumulative gain Information science Information retrieval Science
36	A Time-Aware Language Model for Microblog Retrieval Bingjie Wei, Shuai Zhang, Rui Li, Bin Wang Institute of Computing Technology, Chinese Academy of Sciences Beijing, China, [removed]Email: weibingjie, zhangshuai01,lirui, Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2013-02-12 08:11:18 Query likelihood model Ranking function Language model Relevance Web query classification Information science Information retrieval Relevance feedback
37	TREC 2012 Microblog Track Experiments at Kobe University Taiki Miyanishi, Kazuhiro Seki, and Kuniaki Uehara Graduate School of System Informatics Kobe University, 1-1 Rokkodai, Nada-ku, Kobe, Hyogo, [removed]Japan. {miya Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2013-02-12 08:11:19 Information Relevance feedback Query expansion Relevance Twitter Learning to rank Query likelihood model Query language Ranking function Information science Information retrieval Science
38	Back to the Roots: A Probabilistic Framework for Query-Performance Prediction Oren Kurland1 [removed] Fiana Raiber1 [removed] Add to Reading List Source URL: iew3.technion.ac.il Language: English - Date: 2012-09-04 06:47:52 Probabilistic relevance model Query expansion Query likelihood model Precision and recall Okapi BM25 Tf*idf Relevance Language model Stemming Information science Information retrieval Science
39	BoltzRank: Learning to Maximize Expected Ranking Gain Maksims N. Volkovs Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:51 Ranking function Discounted cumulative gain Precision and recall Relevance Normal distribution Search engine indexing IR evaluation Uncertain inference Query likelihood model Information science Information retrieval Learning to rank
40	PDF Document Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-08-03 06:28:43 Information Query likelihood model Survival analysis Exponential distribution Language model Ranking function Information retrieval Science Statistics

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