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.