Research on Personalized Recommendation of learning Resource Based on Big Data of Education

Abstract

With the rapid development of the Internet and information technology, personalized learning of widespread concern has become a trend inevitably. How to recommend learners with appropriate learning resources from massive data based on learners' characteristics is of great significance to enhance the efficiency of personalized learning. From the perspective of user portrait immersed in the big data of education, this paper constructs the framework of personalized learning resource recommendation service, and then discusses the realization of personalized learners model and personalized learning-resource model, and finally realizes effective personalized learning resource recommendation service by proposing a collaborative filtering algorithm based on personalized labels.