Design of Intelligent Push System for Teaching Resources Based on User Interest Preference

Abstract

Aiming at the personalized online learning needs of teachers and students, this paper proposes an intelligent push system based on user interest preferences. This system identifies users with similar interests based on measuring the similarity between different users. Then, by analyzing and integrating the resources and ratings that all users are interested in, accurately identify the user's bias weight and mark it. Explore and automatically push resources that meet the personalized learning needs of teachers and students in the resource platform, further improving the utilization rate of learning resources in the teaching resource platform.