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Course Recommendation System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 29 |
| Year of Publication: 2020 |
| Authors: M. Rekha Sundari, G. Shreya, T. Jawahar |
10.5120/ijca2020920823
|
M. Rekha Sundari, G. Shreya, T. Jawahar . Course Recommendation System. International Journal of Computer Applications. 175, 29 ( Nov 2020), 13-16. DOI=10.5120/ijca2020920823
Abstract
Choice based credit system in higher education employs simple principle of students choosing courses of their interests. This learning platform makes students face difficulty in choosing electives, as the options available are multitudinous. Existing course recommendation systems suggest courses based on either collaborative or content based approach. This work focuses on building an effective Course Recommendation System (CRS) for college students, suggesting the most relevant course based on their learning ability and their preferred choice. In this paper, a rule based approach which addresses the pitfalls and loopholes of the existing technology is suggested. Rule based approach helps to recommend a course better than the existing course recommendation systems.
References
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