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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Research on personalized recommendation of teaching resources based on joint probability matrix decomposition model and CNN improvement algorithm
Junxia Ma
Junxia Ma
,
Qilin Liu
Qilin Liu
,
Zhifeng Zhang
Zhifeng Zhang
and
Peipei Gu
Peipei Gu
| Feb 26, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Feb 26, 2024
Page range:
-
Received:
Jan 12, 2024
Accepted:
Jan 21, 2024
DOI:
https://doi.org/10.2478/amns-2024-0543
Keywords
Deep learning
,
Probability matrix decomposition
,
Feature extraction
,
Similarity
,
Teaching resources recommendation
© 2023 Junxia Ma et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Junxia Ma
College of Software Engineering Zhengzhou University of Light Industry
Zhengzhou, China
Qilin Liu
College of Software Engineering Zhengzhou University of Light Industry
Zhengzhou, China
Zhifeng Zhang
College of Software Engineering Zhengzhou University of Light Industry
Zhengzhou, China
Peipei Gu
College of Software Engineering Zhengzhou University of Light Industry
Zhengzhou, China