International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Jan. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 82
Paper Published : 1209
No. of Authors : 3038
  Journal Paper

Paper Title
A Survey On Personalization Of Web Search Using Generalized Profile

Abstract
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


Author - Radhika.M, V.Vijaya Chamundeeswari

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| Published on 2015-01-30
   
   
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