Research on personalized recommendation of teaching resources based on joint probability matrix decomposition model and CNN improvement algorithm
This study proposes a teaching resource recommendation method (TRRDLMF) based on deep learning and probabilistic matrix decomposition, aiming to improve teaching resource recommendation’s accuracy and personalization level. The study combines hybrid neural network feature extraction of teaching reso...
Main Authors: | Ma Junxia, Liu Qilin, Zhang Zhifeng, Gu Peipei |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2024-01-01
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Series: | Applied Mathematics and Nonlinear Sciences |
Subjects: | |
Online Access: | https://doi.org/10.2478/amns-2024-0543 |
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