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EDBTW
2004
Springer

Query Recommendation Using Query Logs in Search Engines

10 years 5 months ago
Query Recommendation Using Query Logs in Search Engines
In this paper we propose a method that, given a query submitted to a search engine, suggests a list of related queries. The related queries are based in previously issued queries, and can be issued by the user to the search engine to tune or redirect the search process. The method proposed is based on a query clustering process in which groups of semantically similar queries are identified. The clustering process uses the content of historical preferences of users registered in the query log of the search engine. The method not only discovers the related queries, but also ranks them according to a relevance criterion. Finally, we show with experiments over the query log of a search engine the effectiveness of the method.
Ricardo A. Baeza-Yates, Carlos A. Hurtado, Marcelo
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where EDBTW
Authors Ricardo A. Baeza-Yates, Carlos A. Hurtado, Marcelo Mendoza
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