期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2019
卷号：11
期号：6
页码：1-7
DOI：10.5121/ijcsit.2019.11602
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：A course recommender system has a great importance in expecting the selection of courses by students in an university, especially for new students who can't easily select the proper elective courses offered for a specific semester. The computer science department in Ajloun University College at Balqa Applied University (BAU) will be taken as a case study. In this paper, an efficient cluster based rule mining algorithm will be used on a course database to describe a courses recommendation system that assist students to choose elective courses based on students already studied these courses or some of them..
关键词：Collaborative Filtering; Cluster; Association Rules; Recommendation System
