期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：9
DOI：10.15680/IJIRCCE.2015. 0309014
出版社：S&S Publications
摘要：Internet provides an efficient way to search information on search engines and PWS (Personalized WebSearch) bespeak of its potency that ameliorate the quality of search engines. Personalized search needs to gather userinformation and aggregation which causes the contravension for many users, this contravension have become the majorhurdle for escalation of PWS and challenge for preserving privacy in personalization. We study privacy protection inPWS applications that model user preference as hierarchical user profiles in privacy protection in PWS application. Wepropose a framework called UPS (User customizable Privacy-preserving Search) that can modify generalize profiles byqueries, while considering user specified requirements for privacy protection. Our runtime generalization mainlyfocuses on balancing between two predictive metrics that assess the utility of personalization and the privacy risk ofrevealing the user generalized profile.
关键词：Risk; Personalize web search; Privacy; Taxonomy; Servers; Web search; Sensitivity; Profile; Privacy;protection; Utility
