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Title: The effect of similarity measures on the quality of query clusters
Authors: Fu, Lin
Goh, Dion Hoe-Lian
Foo, Schubert
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Issue Date: 2004
Source: Fu, L., Goh, D., & Foo, S. (2004). The effect of similarity measures on the quality of query clusters. Journal of Information Science, 30(5), 396-407.
Series/Report no.: Journal of information science
Abstract: Query clustering is a process that can be used to discover common interests of online information seekers and to exploit their collective search experience for the benefit of others. Harnessing such search experiences facilitates collaborative querying that in turn may help users of digital libraries and other information systems to better meet their information needs. Since similarity is fundamental to the definition of a cluster, measures of similarity between two queries is essential to the query clustering procedure. In this paper, we examine the effectiveness of different similarity measures. A set of experiments was carried out to study the impact of different similarity measures on the quality of query clusters. The results show that different similarity measures outperform each other in different query cluster quality criteria. Implications for these findings are discussed.
ISSN: 1741-6485
DOI: 10.1177/0165551504046722
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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