in order to solve the problem of teaching resources using low efficiency,improve personalized learning experience,this study adopts collaborative filtering algorithm as the core technology,design based on collaborative filtering algorithm resources recommendation system,through on the basis of the user history behavior and preference data,the system effectively identify and recommend meet the needs of individual users teaching resources.The research mainly focuses on the overall framework design of the system,the implementation of functional modules,and verifies the functional validity of the recommended system through comparative testing.The results show that the recommendation system can not only improve the matching and utilization of course resources,but also have strong stability and accuracy.The research results can provide practical reference for the development of information recommendation field.
维普
万方数据