Research on MOOC Course Design for College Students Based on Collaborative Filtering Algorithm

Abstract

With the explosive development of MOOC online education, the number of online learners continues to increase. Aiming at the problems that MOOC online learners are not easy to find suitable courses in the massive course information, so that blind selection leads to low learning efficiency and poor learning effect, this paper uses the recommendation algorithm of collaborative filtering to design the courses in MOOCs Conducting applied research in actual teaching, a new MOOC education course recommendation method is proposed, which provides a reference for machine learning or deep learning.