A systematic review: machine learning based recommendation systems for e-learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
http://link.springer.com/content/pdf/10.1007/s10639-019-10063-9.pdf
Reference103 articles.
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2. Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734–749. https://doi.org/10.1109/TKDE.2005.99.
3. Aeiad, E., & Meziane, F. (2018). An adaptable and personalised E-learning system applied to computer science Programmes design. Education and Information Technologies, 24, 1485–1509. https://doi.org/10.1007/s10639-018-9836-x.
4. Aggarwal, C. C. (2016a). An introduction to recommender systems. In C. C. Aggarwal (Ed.), Recommender systems (1st ed., pp. 1–28). Cham: Springer Retrieved from https://link.springer.com/book/10.1007%2F978-3-319-29659-3.
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