The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
A systematic review: machine learning based recommendation systems for e-learning
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Citations
Cites
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
(2016) · Cited by 11,679
Adomavicius, G., & Tuzhilin, A. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.99 · Cited by 10,310
Evaluating collaborative filtering recommender systems
Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004) · ACM Transactions on Information Systems · doi:10.1145/963770.963772 · Cited by 5,798
The Split Bregman Method for L1-Regularized Problems
Goldstein, T., & Osher, S. (2009) · SIAM Journal on Imaging Sciences · doi:10.1137/080725891 · Cited by 4,282
Using collaborative filtering to weave an information tapestry
Goldberg, D., Nichols, D., Oki, B. M., & Terry, D. (1992) · Communications of the ACM · doi:10.1145/138859.138867 · Cited by 4,066
Resnick, P., & Varian, H. R. (1997) · Communications of the ACM · doi:10.1145/245108.245121 · Cited by 3,772
A Survey of Collaborative Filtering Techniques
Su, X., & Khoshgoftaar, T. M. (2009) · Advances in Artificial Intelligence · doi:10.1155/2009/421425 · Cited by 3,602
Collaborative Filtering Recommender Systems
Ekstrand, M. D. (2011) · Foundations and Trends® in Human–Computer Interaction · doi:10.1561/1100000009 · Cited by 1,037
Aggarwal, C. C. (2016) · Springer eBooks · doi:10.1007/978-3-319-29659-3 · Cited by 931
Cited by
Halkiopoulos, C., & Gkintoni, E. (2024) · Electronics · doi:10.3390/electronics13183762 · Cited by 328
Artificial intelligence-enabled adaptive learning platforms: A review
Tan, L. Y., Hu, S., Yeo, D. J., & Cheong, K. H. (2025) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2025.100429 · Cited by 207
Personalisation methods in e-learning-A literature review
Mikić, V., Ilić, M., Kopanja, L., & Vesin, B. (2022) · Computer Applications in Engineering Education · doi:10.1002/cae.22566 · Cited by 39
Recommendation Systems on E-Learning and Social Learning: A Systematic Review
Souabi, S., Retbi, A., Khalidi Idrissi, M. K. I., & Bennani, S. (2021) · Electronic Journal of e-Learning · doi:10.34190/ejel.19.5.2482 · Cited by 27
CS-KG 2.0: A Large-scale Knowledge Graph of Computer Science
Dessí, D., Osborne, F., Buscaldi, D., Reforgiato Recupero, D., & Motta, E. (2025) · Scientific Data · doi:10.1038/s41597-025-05200-8 · Cited by 17
Metadata
- Authors
- Khanal, S. S., Prasad, P. W. C., Alsadoon, A., & Maag, A.
- Venue
- Education and Information Technologies
- Published
- 2019-12-14
- Volume
- 25
- Issue
- 4
- Pages
- 2635-2664
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- OpenAlex
- W2996103499
- Cited by
- 359
- References
- 84
- FWCI
- 4.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A systematic review: machine learning based recommendation systems for e-learning. https://app.cochat.ai/papers/10.1007/s10639-019-10063-9
- The paper
- Khanal, S. S., Prasad, P. W. C., Alsadoon, A., & Maag, A. (2020). A systematic review: machine learning based recommendation systems for e-learning. Education and Information Technologies. https://doi.org/10.1007/s10639-019-10063-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
