Improved collaborative filtering recommendation algorithm based on differential privacy protection

Abstract

With the continuous development of computer technology and the advent of the information age, the amount of information in the network continues to grow. Information overload seriously affects people’s efficiency in using information. In order to solve the problem of information overload, various personalized recommendation technologies are widely used. This paper proposes a collaborative filtering recommendation algorithm based on differential privacy protection, which provides privacy protection for users’ personal privacy data while providing effective recommendation service.