Community Education Course Recommendation Based on Intelligent Recommendation Algorithm

Abstract

The user interest model based on the intelligent recommendation algorithm designed in this study realizes the recommendation of community education courses. Considering the tag information in the educational resource library in the research, based on the LDA topic model, this paper establishes a topic model for the resources in the educational resource library. At the same time, combined with the distribution of the project on the theme and the user project scoring matrix, the user interest model based on the topic model is further established to reflect the user’s interest more comprehensively. In addition, this paper uses the advantages of the topic model itself to reduce the dimension of the user project scoring matrix, thereby reducing the computational complexity of the recommendation algorithm. Research shows that the proposed algorithm has certain effects.