基于位置服务的分布式差分隐私推荐方法研究

随着移动互联网技术的迅速发展,传统的推荐系统已不能很好地适应基于位置的推荐服务,同时也面临隐私泄露的问题.本文针对上述问题,首先提出一种分布式隐私保护推荐框架,并利用差分隐私保护理论,设计基于分布式框架的奇异值分解推荐算法,同时利用保序加密函数实现用户请求位置的保护.理论分析和在两个真实的数据集上的实验表明,本文提出的...

Research on Location-Based Distributed Differential Privacy Recommendation Method

With the rapid development of mobile Internet technology,the traditional recommender system has not been well adapted to the location-based recommendation service,and it also faces the risk of privacy leaks.In this paper,a distributed privacy preserving recommendation framework is proposed,and a singular value decomposition recommendation algorithm based on distributed framework is designed by using the differential privacy theory.Furthermore,we use order preserving encryption function to protect user request location.Theoretical analysis and experiments on two real datasets show that the proposed method not only has stronger privacy protection ability,but also has better recommendation performance than traditional recommendation algorithms.