Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization

The wide availability of specific courses together with the flexibility of academic plans in university studies reveal the importance of Recommendation Systems (RSs) in this area. These systems appear as tools that help students to choose courses that suit to their personal interests and their academic performance. This paper presents a hybrid RS that combines Collaborative Filtering (CF) and Content-based Filtering (CBF) using multiple criteria related both to student and course information to recommend the most suitable courses to the …

academic availability courses cs.lg flexibility hybrid importance optimization recommendation recommendation systems rss students studies systems together tools university