Research on Collaborative Education Course Recommendation Model of Vocational Education Learning Platform Based on Collaborative Filtering Algorithm

Research on collaborative education course recommendation model of Vocational Education Learning Platform Based on collaborative filtering algorithm. Vocational education learning platform (veplp) is a system that provides vocational education courses and related services for students in the field of vocational education, including vocational teachers, colleges and other institutions. The collaborative filtering algorithm is used to recommend the best course according to the score of the previous user. It is a machine learning technology that uses an iterative process of feature selection and model building to predict which courses may be liked by other users. The working principle of the algorithm is to use various functions (such as average score, number of comments and popularity score) as input variables to build a prediction model of recommended courses. Data preprocessing and feature selection in this step, we will preprocess the data to build our collaborative filtering model with higher accuracy.