%0 Book Section %1 noKey %A Baeza-Yates, Ricardo %A Hurtado, Carlos %A Mendoza, Marcelo %B Current Trends in Database Technology - EDBT 2004 Workshops %D 2005 %E Lindner, Wolfgang %E Mesiti, Marco %E Türker, Can %E Tzitzikas, Yannis %E Vakali, AthenaI. %I Springer Berlin Heidelberg %K %P 588-596 %R 10.1007/978-3-540-30192-9_58 %T Query Recommendation Using Query Logs in Search Engines %U http://dx.doi.org/10.1007/978-3-540-30192-9_58 %V 3268 %X 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. %@ 978-3-540-23305-3

@incollection{noKey, abstract = {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.}, added-at = {2014-10-29T17:15:49.000+0100}, author = {Baeza-Yates, Ricardo and Hurtado, Carlos and Mendoza, Marcelo}, biburl = {https://www.bibsonomy.org/bibtex/2a1fa2ec24105e9378057776de67ba556/nosebrain}, booktitle = {Current Trends in Database Technology - EDBT 2004 Workshops}, doi = {10.1007/978-3-540-30192-9_58}, editor = {Lindner, Wolfgang and Mesiti, Marco and Türker, Can and Tzitzikas, Yannis and Vakali, AthenaI.}, interhash = {9dda82cfee7094a349ad64a45073ced9}, intrahash = {a1fa2ec24105e9378057776de67ba556}, isbn = {978-3-540-23305-3}, keywords = {}, language = {English}, pages = {588-596}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2014-10-29T17:15:49.000+0100}, title = {Query Recommendation Using Query Logs in Search Engines}, url = {http://dx.doi.org/10.1007/978-3-540-30192-9_58}, volume = 3268, year = 2005 }