Personalized Web Search Privacy Protection with Concealed User Requirement Specification

Personalized web search (PWS) verified its usefulness in refining quality search on internet. Unwillingness of users towards reveal their private data during search is the major obstruction for the extensive proliferation of PWS. This paper focus on replicas preference of users as hierarchical user profile. A framework with profile generalization and privacy preservation of user information keep the data secure. The run time generalization using two algorithms named GreedyDP and GreedyIL.