Document (#32907)

Author

Na, S.-H.
Kang, I.-S.
Roh, J.-E.
Lee, J.-H.

Title

¬An empirical study of query expansion and cluster-based retrieval in language modeling approach

Source

Information processing and management. 43(2007) no.2, S.302-314

Year

2007

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.

Footnote

Beitrag in: Special issue on AIRS2005: Information Retrieval Research in Asia

Theme

Retrievalalgorithmen

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5. Kang, I.-S.; Na, S.-H.; Kim, J.; Lee, J.-H.: Cluster-based patent retrieval (2007) 0.24

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