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Analysis of User Profile Privacy Protection in Web Search Personalization

This paper presents web search has demonstrated in improving the quality of various search services on the internet, user reluctance to disclose the private information during search has become major barrier for the wide proliferation of password. Protection in password authentication model user preferences as hierarchical user profiles, a password framework know as user profile search that can adaptively generalize profile by search query while respecting user specified privacy requirements. Our work provides utility of personalization and the privacy risk of exposing the generalized profile using Greedy algorithm is a method for deciding whether personalizing a query is efficient.



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Keywords: Data Mining, Web Search, Query Personalization, Greedy Algorithm.

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EISSN: 2349-6495


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