Concept based query expansion

Item Type Conference Paper
Author Yonggang Qiu
Author Hans-Peter Frei
URL http://portal.acm.org/citation.cfm?id=160713
Place Pittsburgh, Pennsylvania, United States
Publisher ACM
Pages 160-169
ISBN 0-89791-605-0
Date 1993
DOI 10.1145/160688.160713
Accessed 2009-10-16 19:46:55
Abstract Query expansion methods have been studied for a long time - with debatable success in many instances. In this paper we present a probabilistic query expansion model based on a similarity thesaurus which was constructed automatically. A similarity thesaurus reflects domain knowledge about the particular collection from which it is constructed. We address the two important issues with query expansion: the selection and the weighting of additional search terms. In contrast to earlier methods, our queries are expanded by adding those terms that are most similar to the concept of the query, rather than selecting terms that are similar to the query terms. Our experiments show that this kind of query expansion results in a notable improvement in the retrieval effectiveness when measured using both recall-precision and usefulness.
Proceedings Title Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
archive ACM
Date Added 2009-10-16 15:46
Added By keitaa
Date Modified 2009-10-16 15:46