Design of personalised search system based on user interest and query structuring

The World Wide Web contains vast amount of interlinked web documents. Retrieving information from such a huge collection is easy using various search engines, but retrieving relevant information is still a challenging task. Since the traditional search engines are based upon keyword matching, therefore semantics of the query is not considered while retrieving the data from web. It is observed that relevant information can be obtained by providing the assistance to the user in constructing the appropriate queries. In this paper, Design of personalized search system is being proposed where alternate query generator is used to capture all the senses of the main query and assist the user with alternate queries, Further, Personalization based upon user profile, click history and last action performed by user is used to improve the ranking of search results. Since the proposed method incorporates the semantics of the query with user behavior, therefore retrieved results are ranked higher in the result list.