An Augmented Machine Learning-Based Course Enrollment Recommender System
Author:
Affiliation:
1. Northeastern Illinois University, Chicago, Illinois, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3603287.3656163
Reference14 articles.
1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
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3. A Practical Evaluation of a Collaborative Learning Method for Engineering Project Subjects;Blanco Moises;IEEE Access,2017
4. Legitimizing Change in Higher Education: Exploring the Rationales Behind Major Organizational Restructuring;Geschwind Lars;Higher Education Policy,2019
5. Pasquale Lops, Marco De Gemmis, and Semeraro Giovanni. 2011. Content-Based Recommender Systems: State of the Art and Trends. Springer. 73--105 pages.
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