A Survey On Personalization Of Web Search Using Generalized Profile
Personalized web search is effective way of improving the quality of the search result based on the use profile.
But people who want to search in internet do not want to reveal his identity or profile to the outside world. In this project,
study the privacy of the user profiles as a hierarchical data structure. The Framework which develop will captures user
profiles in a hierarchical taxonomy. The framework will adaptively generalize a user profile for a query keeping the
preferences of the user privacy. Implement greedy algorithms namely Greedy-DP, Greedy-IL for runtime generalization. The
framework provide an online predication mechanism for deciding whether personalizing a query is beneficial.
Keywords- Privacy protection, Personalized web search, Utility, Risk, Profile