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A relevance feedback mechanism for cluster-based retrieval. / Rooney, Niall; Patterson, David; Galushka, Mykola; Dobrynin, Vladimir.

в: Information Processing and Management, Том 42, № 5, 01.09.2006, стр. 1176-1184.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Rooney, N, Patterson, D, Galushka, M & Dobrynin, V 2006, 'A relevance feedback mechanism for cluster-based retrieval', Information Processing and Management, Том. 42, № 5, стр. 1176-1184. https://doi.org/10.1016/j.ipm.2006.01.009

APA

Rooney, N., Patterson, D., Galushka, M., & Dobrynin, V. (2006). A relevance feedback mechanism for cluster-based retrieval. Information Processing and Management, 42(5), 1176-1184. https://doi.org/10.1016/j.ipm.2006.01.009

Vancouver

Rooney N, Patterson D, Galushka M, Dobrynin V. A relevance feedback mechanism for cluster-based retrieval. Information Processing and Management. 2006 Сент. 1;42(5):1176-1184. https://doi.org/10.1016/j.ipm.2006.01.009

Author

Rooney, Niall ; Patterson, David ; Galushka, Mykola ; Dobrynin, Vladimir. / A relevance feedback mechanism for cluster-based retrieval. в: Information Processing and Management. 2006 ; Том 42, № 5. стр. 1176-1184.

BibTeX

@article{382f0a9608c24857b0bb774a7393a305,
title = "A relevance feedback mechanism for cluster-based retrieval",
abstract = "Contextual document clustering is a novel approach which uses information theoretic measures to cluster semantically related documents bound together by an implicit set of concepts or themes of narrow specificity. It facilitates cluster-based retrieval by assessing the similarity between a query and the cluster themes' probability distribution. In this paper, we assess a relevance feedback mechanism, based on query refinement, that modifies the query's probability distribution using a small number of documents that have been judged relevant to the query. We demonstrate that by providing only one relevance judgment, a performance improvement of 33% was obtained.",
keywords = "Document clustering, Information retrieval, Relevance feedback",
author = "Niall Rooney and David Patterson and Mykola Galushka and Vladimir Dobrynin",
year = "2006",
month = sep,
day = "1",
doi = "10.1016/j.ipm.2006.01.009",
language = "English",
volume = "42",
pages = "1176--1184",
journal = "Information Processing and Management",
issn = "0306-4573",
publisher = "Elsevier",
number = "5",

}

RIS

TY - JOUR

T1 - A relevance feedback mechanism for cluster-based retrieval

AU - Rooney, Niall

AU - Patterson, David

AU - Galushka, Mykola

AU - Dobrynin, Vladimir

PY - 2006/9/1

Y1 - 2006/9/1

N2 - Contextual document clustering is a novel approach which uses information theoretic measures to cluster semantically related documents bound together by an implicit set of concepts or themes of narrow specificity. It facilitates cluster-based retrieval by assessing the similarity between a query and the cluster themes' probability distribution. In this paper, we assess a relevance feedback mechanism, based on query refinement, that modifies the query's probability distribution using a small number of documents that have been judged relevant to the query. We demonstrate that by providing only one relevance judgment, a performance improvement of 33% was obtained.

AB - Contextual document clustering is a novel approach which uses information theoretic measures to cluster semantically related documents bound together by an implicit set of concepts or themes of narrow specificity. It facilitates cluster-based retrieval by assessing the similarity between a query and the cluster themes' probability distribution. In this paper, we assess a relevance feedback mechanism, based on query refinement, that modifies the query's probability distribution using a small number of documents that have been judged relevant to the query. We demonstrate that by providing only one relevance judgment, a performance improvement of 33% was obtained.

KW - Document clustering

KW - Information retrieval

KW - Relevance feedback

UR - http://www.scopus.com/inward/record.url?scp=33646475288&partnerID=8YFLogxK

U2 - 10.1016/j.ipm.2006.01.009

DO - 10.1016/j.ipm.2006.01.009

M3 - Article

AN - SCOPUS:33646475288

VL - 42

SP - 1176

EP - 1184

JO - Information Processing and Management

JF - Information Processing and Management

SN - 0306-4573

IS - 5

ER -

ID: 36369108