Enhancing Sequential Recommendation System For MOOCs Based On Heterogeneous Information Networks-Reference-Cited by-同舟云学术

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Enhancing Sequential Recommendation System For MOOCs Based On Heterogeneous Information Networks

Published:2024-08-15 Issue: Volume:3 Page:1-6
ISSN:
Container-title:2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)
language:
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Author:

Nguyen Long¹,Nguyen Thu²,Tan-Vo Khoa²,Hoang Tu-Anh Nguyen²,Nguyen Tri³,Dinh Ngoc-Thanh⁴

Affiliation:

1. University of Information Technology,Faculty of Computer Science,Ho Chi Minh City,Vietnam

2. University of Information Technology,Faculty of Information Science and Engineering,Ho Chi Minh City,Vietnam

3. Aalto University,Finland

4. The Industrial University,Ho Chi Minh City,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10660665/10660652/10660698.pdf?arnumber=10660698

Reference19 articles.

1. Perspective Chapter: MOOCS at Higher Education – Current State and Future Trends

2. Learning potentials and educational challenges of massive open online courses (MOOCs) in lifelong learning

3. Mooc providers and their strategies;Taneja;International Journal of Computer Science and Mobile Computing,2014

4. A Systematic Literature Review on Recommender Systems for MOOCs

5. MCRS: A course recommendation system for MOOCs

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