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Probabilistic 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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Document Date: 2012-09-04 06:47:52


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City

Haifa / /

Company

IBM / Pearson / Kendall / Google / Yahoo! / /

Country

United States / Israel / /

Currency

USD / /

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Facility

University of Massachusetts / /

IndustryTerm

web documents / e-cohesion / large scale noisy Web collection / web search environments / e-dispersion / large web datasets / noisy Web setting / web search / Web track / Web collection / larger Web collection / /

Organization

University of Massachusetts / Israel Science Foundation / Center for Intelligent Information Retrieval / IDF / Query association / Faculty of Industrial Engineering and Management / IBM Research Lab / Technion / /

Person

G. V. Cormack / Let Cent (Dres) / Williams / Miriam Gutwirth Memorial / /

Position

general language model for information retrieval / probabilistic model of information retrieval / representative / Porter / Walker / and S. E. Robertson / /

Product

Clarity / Dres / ClueWeb / /

ProvinceOrState

Massachusetts / /

PublishedMedium

Psychological Bulletin / /

URL

www.lemurproject.org / /

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