Recommendation Algorithm for Equilibrium of Teaching Resources in Physical Education Network Based on Trust Relationship

Abstract

Aiming at the problems of poor balance of recommended resources in the recommendation of traditional physical education network teaching resources and low trust degree of recommended physical education network teaching resources, this paper proposes a balanced recommendation algorithm for physical education network teaching resources based on trust relationship. By SVM algorithm, the teaching resources of physical education network are classified, and then the invalid data of teaching resources of physical education network are deleted, and the remaining teaching resources of physical education network are taken as the extraction object to complete the extraction of teaching resources of physical education network. Through Kalman filtering method, the data of sports network teaching resources with noise are reduced, and then the data with high similarity are fused to complete the preprocessing of physical education network teaching resources data. By constructing the trust relationship model, the relationship attribute between the recommended physical education network teaching resources data is determined. The experimental results show that the highest degree of resource equilibrium recommended by the proposed method is about 96 and the recommended resource trust is high.