Personalization of Web Search based on privacy protected and auto-constructed user profile

Web search engines are widely used to find huge amount of data on the web in a minimum amount of time. But sometimes it becomes difficult to the users to get exact result for given query. Personalized Web Search (PWS) provides the better search results for individual user needs and improves the quality of the search result based on the user profile. However, user´s unwillingness to disclose their private information during search has become major issue in wide increase in PWS. This paper presents a scalable way for users to build rich hierarchical user profiles automatically and provide privacy for the user profiles. Extended User customizable Privacy-preserving Search (E-UPS) framework generalize the user profiles for each query according to user-specified privacy requirements. It will improve the search quality and hide the privacy contents existence in the user profile and gives protection against a typical model of privacy attack.