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Text Retrieval Conference / Relevance feedback / Relevance / Stemming / Query expansion / Precision and recall / Document retrieval / Bayesian network / Algorithm / Information science / Information retrieval / Science


UCD SIFT in the TREC 2009 Web Track David Lillis1 , Fergus Toolan1 , Ling Lin2 , Rem W. Collier1 , and John Dunnion1 1 School of Computer Science and Informatics University College Dublin
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Document Date: 2010-02-03 13:55:50

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Shanghai / Dublin / Berlin / Information Retrieval / New York / /

Company

eMAP / /

Country

United States / Ireland / /

Currency

pence / /

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Facility

National Institute of Standards / Informatics University College / The Software School Fudan University / University of Glasgow / /

IndustryTerm

Web Track entry / Rank-based algorithms / typical data fusion algorithm / Web Track David Lillis1 / data fusion algorithms / fusion algorithm / probabilistic data fusion algorithm / fusion algorithms / data fusion algorithm / probabilistic fusion algorithm / Web Track / input systems / /

MarketIndex

set 1000 / /

OperatingSystem

Microsoft Windows / /

Organization

School of Computer Science / Fudan University / /

Position

representative / Porter / /

Product

Fusion / /

ProvinceOrState

New York / /

PublishedMedium

Lecture Notes in Computer Science / /

Technology

CombMNZ algorithms / CombMNZ data fusion algorithm / knowledge management / specific algorithms / artificial intelligence / Sliding Windows / typical data fusion algorithm / alternative probabilistic fusion algorithm / Rank-based algorithms / search engine / fusion algorithm / data fusion algorithms / probabilistic data fusion algorithm / ProbFuse algorithm / fusion algorithms / /

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