Intelligent Sports Auxiliary Training Method Based on Collaborative Filtering Recommendation Algorithm

In recent years, people’s living standards are rising, and the demand for health is also rising. National physical exercise has become current trend. Using personalized recommendation technology to screen appropriate information assist people in sports training can improve efficiency of users obtain relevant users’ quality. Therefore, collaborative filtering algorithm optimized by combining bisection, intelligent model resources constructed based on algorithm. This paper uses improved calculate similarity between users. Compared with other traditional algorithms, user this higher accuracy certain reference value. To sum up, proposed research more accurately recommend suitable users, so as correct quality, which plays an improvement quality whole China.