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Personalized Search With User Privacy Protection

Author(s):

S.Poornima , Hindusthan college of Arts and science; Mr. R. Rangaraj

Keywords:

Personalized Web Search (PWS), Stability, Individual Attention, Clustering

Abstract

The quality of search services, personalized web search (PWS) provides better results in internet and has been attracting attention recently. Many researchers tailored for individual user needs in PSW. One of the most critical benefits personalized search is to improve the quality of decisions that consumers make. The major barrier of PWS is to disclosure the private information during the search. To protect user privacy in profile-based PWS, two contradicting effects are considered during the search process. On the one hand attempts are made to improve the search quality with the personalization utility of the user profile by hiding the privacy contents existing in the user profile to place the privacy risk under control. The proposed work is very effective and efficient and does not require iterative user interaction. The work enhances the stability of the search quality by avoiding the unnecessary exposure of the user profile. With this system admin can easily find out the ratings. Admin can cluster the user interest which allows search engines to sell more advertisements because companies understand that they will have a better opportunity to sell based on high percentage matched individuals than medium and low percentage matched individuals.

Other Details

Paper ID: IJSRDV3I70098
Published in: Volume : 3, Issue : 7
Publication Date: 01/10/2015
Page(s): 660-663

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