Web query classification: Difference between revisions

Revision as of 19:58, 26 October 2008

Revision as of 07:29, 30 January 2009

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=== How to use the unlabeled query logs to help with query classification? ===

SiceSince the manually labeled training data for query classification are expensive. How to use a very large web search engine query log as a source of unlabeled data to aid in automatic query classification becomes a hot issue. These logs record the Web users' behavior when they search for information via a search engine. Over the years, query logs have become a rich resource which contains Web users' knowledge about the World Wide Web.

* Query clustering method<ref>Wen et al. [http://portal.acm.org/ft_gateway.cfm?id=503108 "Query Clustering Using User Logs"], ''ACM TOIS, Volume 20, Issue 1, January 2002''.</ref> tries to associate related queries by clustering “session data”, which contain multiple queries and click-through information from a single user interaction. They take into account terms from result documents that a set of queries has in common. The use of query keywords together with session data is shown to be the most effective method of performing query clustering.