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Research on educational resource recommendation system based on MRLG Rec

Xiaodan Xie

Xiaodan Xie

The department of mechanical and electrical engineering, Hebei Chemical & Pharmaceutical CollegeShijiazhuang, China
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Xie, Xiaodan
 et 
Xinling Zhang

Xinling Zhang

The department of mechanical and electrical engineering, Hebei Chemical & Pharmaceutical CollegeShijiazhuang, China
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Zhang, Xinling
  
23 déc. 2022
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Publié en ligne: 23 déc. 2022
Pages: 799 - 810
Reçu: 26 mai 2022
Accepté: 08 juil. 2022
DOI: https://doi.org/10.2478/amns.2021.2.00287
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© 2023 Xiaodan Xie et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Educational resource recommendation system framework based on MRLG Rec. RL, reinforcement learning
Educational resource recommendation system framework based on MRLG Rec. RL, reinforcement learning

Fig. 2

Simple model of RL. RL, reinforcement learning
Simple model of RL. RL, reinforcement learning

Fig. 3

Generation adversarial network system simplification
Generation adversarial network system simplification

Fig. 4

Running flow of MRLG Rec algorithm. GAN, generative adversarial network; RL: reinforcement learning
Running flow of MRLG Rec algorithm. GAN, generative adversarial network; RL: reinforcement learning

Fig. 5

Multiple recommendation mechanism
Multiple recommendation mechanism

Fig. 6

Comparison of search quantity of the two recommendation algorithms when action interval M is set to different values
Comparison of search quantity of the two recommendation algorithms when action interval M is set to different values

Fig. 7

Percentage of similarity accuracy of single educational resource recommendation algorithm
Percentage of similarity accuracy of single educational resource recommendation algorithm
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Sujets de la revue:
Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres
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