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EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

Personalized web search (PWS) is a general category of search techniques aiming at providing better search results, which are tailored for individual user needs.

User information has to be collected and analyzed to figure out the user intention behind the query.

PROPOSED CONCEPT:-

We propose a PWS framework called UPS (User customizable Privacy-preserving Search) that can adaptively generalize profiles by queries while respecting user specified privacy requirements.

We present two greedy algorithms, namely Greedy DP and Greedy IL, for runtime generalization.

EXISTING TECHNIQUE:-

Click-log-based methods

Profile-based methods

PROPOSED TECHNIQUE:-

Privacy-preserving personalized web search framework UPS.

TECHNIQUE DEFINITION:-

Click-log based simply impose bias to clicked pages in the user’s query

Profile-based methods improve the search experience with complicated user-interest models generated from user profiling techniques

TECHNIQUE DEFINITION:-

Generalize profiles by queries while respecting user specified privacy requirements

Aims at protecting the privacy in individual user profiles while retaining their usefulness for PWS.

DRAWBACKS:-

Only work on repeated queries from the same user which is a strong limitation

No customization allowed.

ADVANTAGES:-

Works on different types of queries from user.

Customization of privacy requirements.