Ranking documents in thesaurus-based boolean retrieval systems

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In this paper we investigate document ranking methods in thesaurus-based boolean retrieval systems, and propose a new thesaurus-based ranking algorithm called the Extended Relevance (E-Relevance) algorithm. The E-Relevance algorithm integrates the extended boolean model and the thesaurus-based relevance algorithm. Since the E-Relevance algorithm has all the desirable properties of the extended boolean model, it avoids the various problems of previous thesaurus-based ranking algorithms. The E-Relevance algorithm also ranks documents effectively by using term dependence information from the thesaurus. We have shown through performance comparison that the proposed algorithm achieves higher retrieval effectiveness than the others proposed earlier.
Publisher
Elsevier
Issue Date
1994-01
Keywords

Information retrieval; Boolean retrieva1 system; Ranking algorithm; Thesaurus

Citation

Information Processing and Management, Vol. 30, No. 1, P. 79 - 91, 1994, 1-2

ISSN
0306-4573
DOI
10.1016/0306-4573(94)90025-6
URI
http://hdl.handle.net/10203/2889
Link
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6VC8-469V3B0-9X&_user=170364&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000013318&_version=1&_urlVersion=0&_userid=170364&md5=4fc52910b2c56a4cc1631cf495afd272
Appears in Collection
CS-Journal Papers(저널논문)

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