For a wide subject and ambiguous query, diverse users may have distinctive search objectives when they submit it to a web search engine. The derivation and examination of user pursuit objectives i.e. goals can be extremely helpful in enhancing web search tool significance and user experience. In this, we propose a methodology to gather user look objectives by examining internet searcher query logs. In the first place, we propose a structure to find diverse user hunt objectives down a query by grouping i.e clustering the proposed feed-back sessions. Input sessions are developed from user navigate logs and can effectively reflect the data needs of users. Second, we propose a methodology to produce pseudo documents to better represent the feed-back sessions for grouping. At last, we propose another measure "Classified Average Precision (CAP)" to assess the execution of deriving user look objectives.
User objectives, feed-back session, clustering, pseudo document.
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[Akash Dalvi, Yogesh Khajure, Dhanraj Patne, Kapil Waygand (2015), Inferring User Search Goals using Feedback, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), Vol-3, Issue-2, Page No-4-7], (ISSN 2347 - 5552). www.ijircst.org
Computer Department, Pune University/ Trinity Academy of Engineering, Pune, India,