An empirical study of query expansion and cluster-based retrieval in language modeling approach
SCIE
SCOPUS
- Title
- An empirical study of query expansion and cluster-based retrieval in language modeling approach
- Authors
- Na, SH; Kang, IS; Roh, JE; Lee, JH
- Date Issued
- 2007-03
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Abstract
- The term mismatch problem in information retrieval is a critical problem, and several techniques have been developed, such as query expansion, cluster-based retrieval and dimensionality reduction to resolve this issue. Of these techniques, this paper performs an empirical study on query expansion and cluster-based retrieval. We examine the effect of using parsimony in query expansion and the effect of clustering algorithms in cluster-based retrieval. In addition, query expansion and cluster-based retrieval are compared, and their combinations are evaluated in terms of retrieval performance by performing experimentations on seven test collections of NTCIR and TREC. (c) 2006 Elsevier Ltd. All rights reserved.
- Keywords
- parsimonious translation model; query expansion; cluster-based retrieval; information retrieval; language model
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/23698
- DOI
- 10.1016/j.ipm.2006.07.003
- ISSN
- 0306-4573
- Article Type
- Article
- Citation
- INFORMATION PROCESSING & MANAGEMENT, vol. 43, no. 2, page. 302 - 314, 2007-03
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- There are no files associated with this item.
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