Preserving Privacy for User Profling in Personalized Web Search

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Neha Dewangan, Prof. Rugraj

Abstract

As the internet content is growing exponentially, the users of search providers demand their search result to be accurate as per their requirement. In such case Personalized Web Search is one of the options available to the user that present search result as per the users information available in the form of user pro?le. The major barrier for Personalized Web Search is the unwillingness of user to share their personal information. All the personal information of user is collected during search process and a hierarchical pro?le based on users preference is created. We propose a client side framework which can be adapted by any PWS that creates users pro?le on the client side and respect users privacy speci?ed by user during the search process. Also, the generalizing algorithm used during search process for generalizing user pro?le is discussed in this paper.

Article Details

How to Cite
, N. D. P. R. (2016). Preserving Privacy for User Profling in Personalized Web Search. International Journal on Recent and Innovation Trends in Computing and Communication, 4(6), 278–281. https://doi.org/10.17762/ijritcc.v4i6.2304
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