Model of recommended courses based on collaborative filtering
基于协同过滤的课程推荐模型*

By analyzing the blindness of students taking elective courses in the university, this paper proposed a recommended courses algorithm based on collaborative filtering. Firstly constructed a non-missing data curriculum evaluation matrix through the clustering of the courses. Then the method predicted the hobbies of students and provided personalized recommended courses for students according to the students rating on the similar courses. This method could make accurate recommended courses in sparse matrix for students.The experiment shows that this recommended method can well-targeted recommend courses for students and effectively reduces the blindness of taking courses for students.