DERIVING USER SEARCH OBJECTIVES USING INNOVATIVE ALGORITHM

For a broad - topic and questionable query, different users at different time may have different search objectives when user submit a query to a s earch engine. Deriving and analyzing user search objectives for a given query can be very useful in improving search engines purpose and user experience. In Developed system query is reformed using location of user and type of query (content based or location based). Query reformed is then passed to multiple search engines will give better and accurate results. Unique results from multiple search engines are extracted which are considered for generating feedback session. User click - through logs efficiently reflect the user’s information need. Both clicked and unclicked links from feedback session are considered. Pseudo document is created to represent the feedback sessi on generated. For a query different user search objectives are derived by clustering the pseudo documents. After clustering pseudo documents original unique results will get clustered into groups of User Search Objectives. Retrieved clusters represent diff erent user search objectives for a given query; hence user can get what he/she wants conveniently