A New Algorithm for Inferring User Search Goals with Feedback Sessions - 2013 PROJECT TITLE :A New Algorithm for Inferring User Search Goals with Feedback Sessions - 2013ABSTRACT:For a broad-topic and ambiguous query, different users may have different search goals when they submit it to a search engine. The inference and analysis of user search goals can be very useful in improving search engine relevance and user experience. In this paper, we propose a novel approach to infer user search goals by analyzing search engine query logs. First, we propose a framework to discover different user search goals for a query by clustering the proposed feedback sessions. Feedback sessions are constructed from user click-through logs and can efficiently reflect the information needs of users. Second, we propose a novel approach to generate pseudo-documents to better represent the feedback sessions for clustering. Finally, we propose a new criterion )“Classified Average Precision (CAP)” to evaluate the performance of inferring user search goals. Experimental results are presented using user click-through logs from a commercial search engine to validate the effectiveness of our proposed methods. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest A Log-based Approach to Make Digital Forensics Easier on Cloud Computing - 2013 A Proxy-Based Approach to Continuous Location-Based Spatial Queries in Mobile Environments - 2013