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    2016年网络隐私保护外文翻译--使用个性化网络搜索的客户端隐私保护

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    2016年网络隐私保护外文翻译--使用个性化网络搜索的客户端隐私保护

    1、2400 英文单词, 1.3 万英文字符 ,中文 4300 字 文献出处: Malthankar S V , Kolte S . Client Side Privacy Protection Using Personalized Web SearchJ. Procedia Computer Science, 2016, 79:1029-1035. Client side Privacy Protection Using Personalized Web Search Mrs. Sharvari V. Malthankar , Prof. Shilpa Kolte Abstract We are

    2、 providing a Client-side privacy protection for personalized web search. Any PWS captures user profiles in a hierarchical taxonomy. The system is performing online generalization on user profiles to protect the personal privacy without compromising the search quality and attempt to improve the searc

    3、h quality with the personalization utility of the user profile. On other side they need to hide the privacy contents existing in the user profile to place the privacy risk under control. User privacy can be provided in form of protection like without compromising the personalized search quality. In

    4、general we are working for a trade off between the search quality and the level of privacy protection achieved from generalization. Keywords: UPS,Privacy Protection, Greedy DP,Greedy IL; 1. Introduction The web search engine has long become the most important portal for ordinary people looking for u

    5、seful information on the web. users may experience failure when search engines return irrelevant results that do not meet their real and expected intentions. Such irrelevant think is largely due to the enormous variety of users contexts and backgrounds, as well as the ambiguity of the texts. Persona

    6、lized web search (PWS) is one general search techniques aiming to providing better search results, which are tailored to individual user needs. At the expense, user information has to be collected and analyzed to figure out the user intention behind the issued query. PWS can generally into two types Click-log-based methods and Profile-based methods In Click-log-based methods we found as They simply impose bias to clicked pages in the users query history. It can only work on repea


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