Study progress of privacy protection techniques used in personalized recommendation system
个性化推荐系统隐私保护策略研究进展

Personalized recommendation systems can help users to get the information that they really want,but good recommendation depends on a great deal of information about users.Those information maybe arouse the users' concern about their privacy which lead to lose the users' trust in recommendation systems, so a lot of study focused on the privacy protection techniques. These techniques can protect users privacy, at the same time, recommendation systems can get good recommendations.This paper mainly discussed privacy protection techniques applied in personalized recommendation systems, and gave the definition of privacy and privacy protection. It discussed some privacy protection techniques including privacy policy languages and privacy protection techniques used at present. At last it summaried the key points and directions of this study in the future.