Visual Analysis of the Research and Application of Learning Resource Recommendation System

With the development of information technology, the learning resource recommendation system as a means of auxiliary teaching has gradually become the research focus of many scholars in the field of education. In this paper, CiteSpace, a visualization software, is used to make a quantitative statistical analysis of journal literature related to the learning resource recommendation system in Web of Science, and four research topics are obtained: recommendation system, collaborative filtering, ontology, and E-learning. This paper summarizes the existing problems and development trends of the study of the learning resource recommendation system.