Supporting Privacy Protection in Personalized Web Search - A Survey

Objectives: This survey investigates the several privacy preserving techniques and provides the idea about the new efficient method in the future. The main goal of this work is to assure the privacy guarantee to the user who is involved in the personalized web search. To do this several mechanism which is related to the privacy protection is investigated.

Methods: In this manuscript, a survey has been done on the several privacy preserving mechanism that has been used to assure a users privacy guarantee and as well as accurate retrieval. Among the different methodologies that are discussed, it has been found that UPS framework is one of the efficient techniques which guarantees the user privacy and retrieves the contents as per user requirement accurately.

Results: This survey expansively studies the problems in the privacy preserving mechanism in the personalized web search environment. The performance of the various methods is evaluated with numerous parameters like accuracy, failure rate and the privacy assurance. The survey analysis conducted were proves that.

Conclusion: the UPS framework is one of the efficient methodology which aims to retrieve the user wanted contents with the assurance of privacy guarantee.