Course Selection Recommendation Based on Hybrid Recommendation Algorithms
Luxiao Zhu, Ben Wang · Atlantis highlights in social sciences, education and humanities/Atlantis Highlights in Social Sciences, Education and Humanities · 2022
In the era of national 'double first-class' and 'high-level' university construction, the course selection has become an important part of the curriculum system of many colleges and universities in China.Due to the shortcomings of the traditional course selection method, the need for a machine learning-based course selection recommendation system has become more and more urgent.The focus of this paper is to apply a hybrid recommendation algorithm to a course selection system for university students to achieve intelligent recommendations through a correlation between students and students and between students and courses.The experimental results show that the hybrid recommendation algorithm is very good at recommending courses for students in the university course selection recommendation system, and the recommended courses have good accuracy and reasonableness.