A MultiView Courses Recommendation System Based on Deep Learning

Abstract

For a large number of courses, educators have always been very concerned about how to help students choose the right courses. This article attempts to describe a course recommendation model based on deep learning, which can generate views from a different perspective and make intelligent course recommendations for students. First, collect various types of data to generate student models and curriculum models. By studying the actual relationship between specific models, and then using deep learning technology to extract key features, select different recommended features from these relationships, and generate different views to further recommend for students.