Classified Average Precision (CAP) To Evaluate The Performance of Inferring User Search Goals
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 11
Abstract
The presumption and examination of user search goals can be very useful in getting better performance of search engine. To deduce user search goals by analyzing search engine query logs a novel approach is proposed. We suggest a novel approach to infer user search goals by analyzing search engine query logs. Initially we propose a framework to find out different user search goals for a query by clustering the proposed feedback sessions. Feedback sessions are created from user click-through logs and can resourcefully imitate the information needs of users. Second we propose a novel approach to produce pseudo-documents to better stand for the feedback sessions for clustering. Finally we propose a new criterion “Classified Average Precision (CAP)” to calculate the performance of inferring user search goals. We define user search goals as the information on different aspects of a query that user groups want to obtain. Information need is a user’s particular need to attain information to convince his/her need. User search goals can be considered as the clusters of information needs for a query.
Authors and Affiliations
H M Sameera, N Rajesh Babu
Keywords
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