Efficient Information Retrieval Using Fuzzy Self Construction Algorithm

Download Now
Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Different users have different search goals when they submit a query to a search engine. In this paper, the authors aim at discovering the number of diverse user's search goal for giving a query and for each goal a keyword is associated automatically. They initially derive user's search goal for a query by clustering their proposed feedback conclave. Then the feedback conclave is mapped to pseudo-documents so that the user's needs are retrieved efficiently. Finally, these pseudo documents are then clustered to deduce user search goals and depict them with some keywords. Though K-means clustering is used in the existing system sometimes queries may not exactly represent user specific information needs.
Download Now

Find By Topic