Review of Deep Learning-Based Personalized Learning Recommendation-Reference-Cited by-同舟云学术

Review of Deep Learning-Based Personalized Learning Recommendation

Published:2020-01-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning
language:
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Author:

Zhong Ling¹,Wei Yantao¹,Yao Huang²,Deng Wei¹,Wang Zhifeng²,Tong Mingwen²

Affiliation:

1. Educational Information Research Center of Hubei, Central China Normal University, Wuhan, China

2. School of Educational Information Technology, Central China Normal University, Wuhan, China

Funder

Natural Science Foundation of Hubei Province

National Natural Science Foundation of China

Publisher

ACM

Reference28 articles.

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2. Pan C. and Chen H. 2015. Research progress on personalized recommendation of learning resources in China. Modern Education Science (04) 31--37. DOI=10.13980/j.cnki.xdjykx.gjyj.2015.04.010. Pan C. and Chen H. 2015. Research progress on personalized recommendation of learning resources in China. Modern Education Science (04) 31--37. DOI=10.13980/j.cnki.xdjykx.gjyj.2015.04.010.

3. Zhang S. Yao L. Sun A. and Tay Y. 2018. Deep learning-based recommender system: a survey and new perspectives. arXiv preprint arXiv:1707.07435. Zhang S. Yao L. Sun A. and Tay Y. 2018. Deep learning-based recommender system: a survey and new perspectives. arXiv preprint arXiv:1707.07435.

4. Li H. J. Zhang Z. Guo H. D. and Wang D. 2019. Personalized learning resource recommendation from the perspective of deep learning. Modern Distance Education Research (04) 92--103. Li H. J. Zhang Z. Guo H. D. and Wang D. 2019. Personalized learning resource recommendation from the perspective of deep learning. Modern Distance Education Research (04) 92--103.

5. Hinton G. E. and Zemel R. S. 1994. Autoencoders minimum description length and helmholtz free energy. In NIPS' 3--10. Hinton G. E. and Zemel R. S. 1994. Autoencoders minimum description length and helmholtz free energy. In NIPS' 3--10.

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