22 Based on Hybrid Recommendation Personalized of the E-Learning System Study

This paper is based on the two recommendations: the Content-based Recommendation and the Collaborative Filtering Recommendation into a hybrid recommendation. The paper combined with the two algorithms recommendations characteristics, given the basic flow chart of hybrid filter. The experimental date used to analyze and evaluate the beneficiation of the hybrid recommendation. Finally, the mean absolute error to illustrate the recommendation method is reasonable. Made the information of the system E-Learning is better to recommend.