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Exploiting the similarity of non-matching terms at retrieval time

Crestani, F. (2000) Exploiting the similarity of non-matching terms at retrieval time. Information Retrieval, 2 (1). pp. 23-43. ISSN 1386-4564

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Abstract

In classic information retrieval systems a relevant document will not be retrieved in response to a query if the document and query representations do not share at least one term. This problem, known as 'term mismatch', has been recognised for a long time by the information retrieval community and a number of possible solutions have been proposed. Here I present a preliminary investigation into a new class of retrieval models that attempt to solve the term mismatch problem by exploiting complete or partial knowledge of term similarity in the term space. The use of term similarity can enhance classic retrieval models by taking into account non-matching terms. The theoretical advantages and drawbacks of these models are presented and compared with other models tackling the same problem. A preliminary experimental investigation into the performance gain achieved by exploiting term similarity with the proposed models is presented and discussed.

Item type: Article
ID code: 1889
Keywords: Library and Information Sciences, Information Systems
Subjects: Bibliography. Library Science. Information Resources > Library Science. Information Science
Department: Faculty of Science > Computer and Information Sciences
Depositing user: Strathprints Administrator
Date Deposited: 10 Oct 2006
Last modified: 26 Mar 2015 19:28
URI: http://strathprints.strath.ac.uk/id/eprint/1889

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