A UPS Framework for Providing Privacy Protection in Personalized Web Search

Web search engines (e.g. Google, Yahoo etc.) are used to find the information among a huge amount of data within a less amount of time. Most of users prefer these search engines for getting information and the data is searched based on the keyword or query given by users over the internet. The data over the internet is growing dramatically and the users spend lot of time to get the information where the users are provided with irrelevant information. Even the users are uncomfortable in exposing private preference information to search engines. In this case, personalized web search has demonstrated its effectiveness in improving the quality of various search services over the internet and provide privacy protection in PWS applications that models based on the user interest as hierarchical user profiles. A framework called UPS that is used to generalize profiles by queries at the same time respecting user specified privacy requirements. Mainly, this paper provides effective search and privacy protection in personalized web search by runtime generalization that strike balance between search quality and privacy.