International Journal of Innovative Research in Computer Science and Technology
Year: 2015, Volume: 3, Issue: 2
First page : ( 4) Last page : ( 7)
Online ISSN : 2347-5552
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Akash Dalvi , Yogesh Khajure, Dhanraj Patne, Kapil Waygand
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.
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Computer Department, Pune University/ Trinity Academy of Engineering, Pune, India,
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