A comprehensive survey on restructuring user search results with Feedback sessions
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 3
Abstract
Search engine relevance and user experience is very important in web search applications. It can be improved by inferring and analyzing user search goals. This paper proposes a novel approach to infer user goals by analyzing search engine query logs. The proposed feedback sessions are clustered to discover different user search goals. Feedback sessions are constructed from user click-through logs and can efficiently reflect the information needs of users. Feedback sessions are better represented using pseudodocuments. A new criterion “Classified Average Precision (CAP)” is used to evaluate the performance of inferring user search goals.
Authors and Affiliations
Neenu Joseph M, Dr. Prem Krishnan
Keywords
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