Deduce User Search Progression with Feedback Session

Abstract

The web is a medium for accessing a great variety of information stored in various locations. As data on the web grows rapidly it leads to several problems such as increased difficulty of finding relevant information. When a user submits a query to the search engine, it must be able to retrieve information according to the user's intention. But search engine retrieves the list of pages ranked based on that similarity to the query. Sometimes the results are not according to users’ interests, because many relevant terms may be absent from queries and words may be ambiguous. Therefore, the results produced by the search engine are not satisfactory to fulfill the user query request. In order to solve this ambiguity, the proposed work is to discover the number of diverse user search goals for a query and represent each goal with some keywords automatically.