Effective R-cube Algorithm for Deriving Relevant Information on the Web
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 10
Abstract
The analysis of user search goals can be very useful in improving search engine relevance and user experience. A novel approach to infer user search goals by examines search engine query logs. A framework to determine different user search goals for a query by clustering the projected feedback sessions. Feedback sessions are constructed from user click-through logs and can professionally reflect the information needs of users. A novel approach to produce pseudo-documents to better represent the feedback sessions for clustering. A new criterion “Classified Average Precision (CAP)” to estimate the performance of inferring user search goals.
Authors and Affiliations
R Lalitha, T Rajendra Prasad
Keywords
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