Query Disambiguation Based on Novelty and Similarity User's Feedback
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems（2009）
摘要
In this paper we propose a query disambiguation mechanism focalizing the query context by applying clustering to the results of a Web-search. The clusters are ranked to reflect a balance of their contents’ novelty and overall similarity with respect to the original query, and, from each of them, a disambiguated query is generated so as to potentially retrieve new documents focalized on the cluster contents.
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关键词
disambiguated query,query context focalization,similarity user,meta-search environment,overall similarity,distinct homogeneous group,possible new focalized search,query disambiguation mechanism,new document,query disambiguation,original query,main content,query context,cluster content,following step,collaboration,feedback,information analysis,intelligent agent,privacy,search engines,web pages
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