DefinePK

Abstract

Personalized web search is effective way of improving the quality search result based on the use profile. But people who want to search in internet do not want to reveal his identity or profile to the outside world. In this paper, the privacy of the user profiles is analyzed as a hierarchical data structure. The framework captures the user profiles in a hierarchical taxonomy. The framework adaptively generalizes a user profile for a query, keeping the preferences of the user privacy. Since the hierarchical taxonomy which maintain in the server will take more time to search if the number of users increases. So, a greedy algorithm in map reduce paradigm is evolved to process the hierarchical taxonomy tree structure in parallel.