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Intent Based Clustering of Search Engine Query Log

Veilumuthu, Ashok and Ramachandran, Parthasarathy (2009) Intent Based Clustering of Search Engine Query Log. In: IEEE International Conference on Automation Science and Engineering, AUG 22-25, 2009, Bangalore, pp. 647-652. (In Press)

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The keyword based search technique suffers from the problem of synonymic and polysemic queries. Current approaches address only theproblem of synonymic queries in which different queries might have the same information requirement. But the problem of polysemic queries,i.e., same query having different intentions, still remains unaddressed. In this paper, we propose the notion of intent clusters, the members of which will have the same intention. We develop a clustering algorithm that uses the user session information in query logs in addition to query URL entries to identify cluster of queries having the same intention. The proposed approach has been studied through case examples from the actual log data from AOL, and the clustering algorithm is shown to be successful in discerning the user intentions.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: Query intent; Clickthrough data; Query Clustering
Department/Centre: Division of Interdisciplinary Sciences > Management Studies
Date Deposited: 09 Jun 2010 04:31
Last Modified: 19 Sep 2010 06:00
URI: http://eprints.iisc.ac.in/id/eprint/27268

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