网络信息资源个性化推荐中隐私保护的研究

Research on Privacy Protection in the Personalized Recommendation of Network Information Resources

为了更好的帮助用户在网络获得个人所需的信息资源,搜索引擎、推荐系统需要搜集和使用大量用户的个人信息,而这些个人信息中大都包含了一些隐私数据,因此用户隐私安全的问题就随之而出。首先就网络信息资源个性化推荐中隐私保护进行了综述,然后分析比较了目前使用的相关保护措施,最后提出隐私保护措施的几点改进。

In order to help users get information resources in the network,a large number of users' personal information, which includes a certain number of privacy, is used and searched by the search engine and recommendation system, resulting in the security problem of users' privacy data. In this paper, the author firstly reviews privacy protection in personalized recommendation of network information resources. Additionally, relative protection measures are analyzed and compared. Finally, some improvements are put forward for privacy protection.