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  • 标题:Mechanism of Privacy Protection in Personalize Web Search
  • 本地全文:下载
  • 作者:Gunjan K Naigaonkar ; Payal Dhavale ; Tejaswi Bhosale
  • 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:2016
  • 卷号:4
  • 期号:3
  • 页码:4502
  • DOI:10.15680/IJIRCCE.2016.0403248
  • 出版社:S&S Publications
  • 摘要:As the range of the Internet continues building up the customers of request suppliers continually demand list things that are accurate to their prerequisites. Redone Search is one of the options open to customers in order to shape question things returned to them in perspective of their own data provided for the request supplier. This raises stresses of security issues however as customers are ord inarily uncomfortable revealing individual information to a consistently faceless organization supplier on the Internet. This paper expects to deal with the insurance issues enveloping tweaked look for and discusses ways that security can be enhanced so cu stomers can end up being all the more OK with the landing of their own data remembering the finished objective to get more exact question things. Modified web look (PWS) has shown its sufficiency in upgrading the way of various request organizations on the Internet. In any case, demonstrates exhibit that customers' aversion to divulge their private information in the midst of request has transformed into an imperative limit for the wide extension of PWS. We consider security protection in PWS applications t hat model customer slants as different leveled customer profiles. We propose a PWS framework called UPS that can adaptively whole up profiles by inquiries while with respect to customer decided security necessities
  • 关键词:Privacy protection; personalized web search; utility; risk; profile
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