Design of Information Learning Platform Management System in Network Security

In recent years, with the rapid development of modern technology and the continuous promotion of IT, IT has been widely applied in modern performing arts. Information management has become the most practical and effective method and means in the management of performance art training. However, with the exponential growth of various data volumes, the demand for computing and processing capabilities, as well as speed, for massive amounts of data and information is also increasing. This paper proposed a platform based network security solution, established a complete network security policy system, and conducted experiments on users based on three different Collaborative filtering recommendation algorithms. The results showed that the Jaccard-CF algorithm proposed in this paper had the highest mean absolute error value of 0.752, and its prediction results were more accurate than the other two types of algorithms.