A study of pushing service framework of the personalized learning resources on network learning platform

This paper aims to explore pushing service framework of the personalized learning resources in network learning platform. We use the data mining technology to acquire a series of data by combining with the content filtering push strategy and the collaborative filtering push strategy. Through the analysis of learners' registration information and browsing behavior, one can analyze learners' interest of learning and the learners will be pushed by the learning resources that they may be interested in. Finally, we design a new learning resource to improve the service system to achieve better learning performance on network learning platform.