Micro Course Recommendation Model Optimization based on User Behavior

Abstract

Abstract. With the advent of the information era, it has brought a change to the education industry. As the network educational resources gradually increased, to obtain individual needs in the massive resources has become a headache problem for users. In the use of traditional search engines for information retrieval, users need to actively input the retrieval keywords, and the search results have no users individualization feature. In this case, recommendation technology has emerged as a complementary technique for search engine. In this paper, we combined recommendation technology with micro course system in the education field, through the establishment of user interest model, at last made use of the recommendation algorithm based on users as the bridge to link the user interest and micro course video resources, presented the video resources that users are satisfied with and interested in to the user, and completed personalized video recommendation. The combination of the recommendation model and the micro course has a positive effect on reducing the time needed to retrieve the video resources and improving the learning and working efficiency of teachers and students.