How to improve the recommendation accuracy of learning resources is the core problem in the study of adaptive learning.Therefore,this paper proposes a learning resource recommendation algorithm based on heterogeneous information network. The algorithm based on the similarity measure based on meta path,combined with feedback information,know ledge transformation probability and calculate semantic similarity between all learners and learning resources,and according to the similarity,will be ranked top-K learning resources recommended for learners. The relevant experiments show that this method i...