부산대학교 도서관

The key to the realization of user personalized learning is the precise placement of learning resources. In this paper, artificial intelligence recommendation algorithm is integrated to establish a personalized recommendation system for learning resources. This paper firstly classifies the interest tags of users in the recommendation system by combining the multi-label classification algorithm of user portrait technology. Then from the personalized learning data acquisition, personalized learning label system construction, learner portrait modeling and other aspects of in-depth mining user personalized learning era of precise service demand. An accurate personalized learning path planning system based on learner portrait is designed. On this basis, the relationship model between teaching resources and learner portrait is established by using adaptive algorithm. The experimental results show that the model can recommend the courses that similar learners have learned according to the portraits of learners and provide personalized course recommendation services.