A Novel Approach for Supporting Privacy Protection in Personalized Web Search by Using Data Mining

Abstract

Web search engines help the users to find useful information on the World Wide Web (WWW). But it has become increasingly difficult to get the expected results from the search engine as a large number of topics are being discussed on the web. Generally, each user has different information needs for his/her query. Therefore, the search results should be adapted to users with different information needs. Personalized web search is a way which provides customized search results for people with individual information goals. But this approach has private issues since it usually requires users to disclose their personal information during search and the users are reluctant to disclose their information. Here we study, how we can provide privacy in PWS applications. privacy protection in PWS applications that model user preferences as hierarchical user profiles.