Inferring User Search Goals using Feedback
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2015, Vol 3, Issue 2
Abstract
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.
Authors and Affiliations
Akash Dalvi, Yogesh Khajure, Dhanraj Patne, Kapil Waygand
Keywords
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