| 基于隐私保护的个性化推荐系统 |
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| 引用本文： | 陈婷,韩伟力,杨珉.基于隐私保护的个性化推荐系统[J].计算机工程,2009,35(8):283-284. |
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| 作者姓名： | 陈婷 韩伟力 杨珉 |
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| 作者单位： | 复旦大学软件学院,上海,201203 |
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| 摘 要： | 针对传统个性化推荐系统存在的隐私容易泄露的缺点,提出一个基于代理的智能推荐系统,在向用户提供准确方便的内容推荐服务的同时保护用户隐私。在该系统中,所有用户私有信息的操作都在客户端执行,使用户隐私得到完善的保护。以嵌于RSS阅读器中的个性化广告系统为例,表明该方法能准确地推荐用户感兴趣的内容并且保护用户隐私。
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| 关 键 词： | 个性化推荐系统 隐私保护 数据挖掘 |
Personalized Recommendation System Based on Privacy Protection |
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| CHEN Ting,HAN Wei-li,YANG Min.Personalized Recommendation System Based on Privacy Protection[J].Computer Engineering,2009,35(8):283-284. |
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| Authors: | CHEN Ting HAN Wei-li YANG Min |
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| Affiliation: | Software School;Fudan University;Shanghai 201203 |
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| Abstract: | In order to solve the problem of privacy leak in traditional personalized recommendation systems, this paper presents an Agent-based personalized recommendation system. It offers good-quality recommendation service and protects the user＇s privacy. As all DUP（Dynamic User Profile）-related operations are working at the client side, the privacy of user will be fully protected. Experiment on an RSS advertising application shows that this system can provide more precise interested messages to users and protect the users＇ privacy. |
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| Keywords: | personalized recommendation system privacy protection data mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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