Probabilistic relevance model

Results: 33



#Item
21Query expansion / Precision and recall / Relevance / Language model / Document retrieval / Probabilistic relevance model / Relevance feedback / Information science / Information retrieval / Science

Proceedings Template - WORD

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Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:08
22Query expansion / Tf*idf / Relevance feedback / Precision and recall / Document retrieval / Search engine indexing / Relevance / Language model / Speech recognition / Information science / Information retrieval / Science

EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, VOL. 2003, NO. 2, 1 FEBRUARY[removed]Probabilistic Aspects in Spoken Document Retrieval Wolfgang Macherey, Hans J¨org Viechtbauer, and Hermann Ney

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Source URL: www-i6.informatik.rwth-aachen.de

Language: English - Date: 2003-09-30 11:58:18
23Information / Relevance feedback / Relevance / Precision and recall / Maximum likelihood / Language model / Document retrieval / Probabilistic relevance model / Universal IR Evaluation / Information science / Information retrieval / Science

Incorporating Non-Relevance Information in the Estimation of Query Models Edgar Meij Wouter Weerkamp

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Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:17
24Science / Latent Dirichlet allocation / Topic model / Relevance feedback / Language model / Search engine indexing / Relevance / Probabilistic latent semantic analysis / Information science / Information retrieval / Statistical natural language processing

LIA at TREC 2012 Web Track: Unsupervised Search Concepts Identification from General Sources of Information Patrice Bellot Eric SanJuan Romain Deveaud LIA - University of Avignon LIA - University of Avignon LSIS - Aix-Ma

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:19
25Relevance / Precision and recall / Learning to rank / Language model / Ranking function / Document retrieval / Latent Dirichlet allocation / Search engine indexing / Probabilistic latent semantic analysis / Information science / Information retrieval / Science

2011 IEEE International Conference on Privacy, Security, Risk, and Trust, and IEEE International Conference on Social Computing Measuring Opinion Relevance in Latent Topic Space Wei Cheng∗ , Xiaochuan Ni† , Jian-Tao

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Source URL: www.cs.ucla.edu

Language: English - Date: 2012-02-28 09:51:37
26Relevance feedback / Language model / Query expansion / Relevance / Search engine indexing / N-gram / Query language / Search engine / Probabilistic relevance model / Information science / Information retrieval / Science

Relevance Feedback and Personalization: A Language Modeling Perspective W. Bruce Croft, Stephen Cronen-Townsend and Victor Lavrenko Computer Science Department University of Massachusetts Amherst, MA[removed]

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Source URL: www.ercim.eu

Language: English - Date: 2008-12-08 05:11:33
27Information science / Information retrieval / Latent Dirichlet allocation / Topic model / Probabilistic relevance model / Relevance / Language model / Plate notation / Causality / Science / Statistical natural language processing / Statistics

Event Intensity Tracking in Weblog Collections Viet Ha-Thuc1, Yelena Mejova1, Christopher Harris2, Padmini Srinivasan1, 2 The University of Iowa Computer Science Department 2 Informatics Program

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Source URL: www.icwsm.org

Language: English - Date: 2009-05-12 15:03:19
28Probabilistic 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
29Vector space model / Latent semantic analysis / Latent semantic indexing / Tf*idf / Search engine indexing / Learning to rank / Relevance feedback / Hash function / Probabilistic latent semantic analysis / Information science / Information retrieval / Science

Supervised Semantic Indexing Bing Bai† , Jason Weston† , David Grangier† , Ronan Collobert† , Yanjun Qi† , Kunihiko Sadamasa† , Olivier Chapelle? , Kilian Weinberger? † NEC Labs America, Princeton NJ, USA ?

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Source URL: david.grangier.info

Language: English - Date: 2010-12-15 14:11:56
30Relevance 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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