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Unsupervised Discovery of Coordinate Terms for Multiple Aspects from Search Engine Query Logs

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4 Author(s)
Yamaguchi, M. ; Grad. Sch. of Inf., Kyoto Univ., Kyoto ; Ohshima, H. ; Oyama, S. ; Tanaka, K.

A method is described for discovering coordinate terms, such as "Honda'' and "Nissan,'' for a given term, such as "Toyota,'' as well as their common topic terms, from the query logs of a Web search engine. Coordinate terms are good candidates for use in making comparisons. A HITS-based algorithm is applied to a bipartite graph between coordinate term candidates and co-occurrence patterns to identify coordinate and topic terms. Spectral analysis is used to distinguish coordinate terms corresponding to different aspects of the search term. As a result, we can discover terms related to the terms in a search engine query that reflect the needs and interests of the user.

Published in:

Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on  (Volume:1 )

Date of Conference:

9-12 Dec. 2008