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  • 标题:An Enriched Privacy Protection in Personalized Web Search
  • 本地全文:下载
  • 作者:Boney cherian ; E.Hari Prasath ; Rahul P
  • 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:1
  • DOI:10.15680/ijircce.2015.0301072
  • 出版社:S&S Publications
  • 摘要:Personalized web search has denoted its success in improving the grade of different search services onthe internet. The proof reveal that user’s disinclination to tell their personal information during search has becomes amajor barricade for the wide build-up of pws.In this we study private safety in pws applications that representation userdesire as hierarchical user profiles. Generalize profile by queries while reference user specified a private requirementusing a pws framework ups. Two predictive metrics utility of personalization and the privacy risk are used for build –up of profile. For generalization we use greedy DP and greedy IL algorithm. The innovative outcome tells that greedyIL obviously outperforms greedy DP in terms of efficiency.
  • 关键词:Personalized web search; utility; risk; profile
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