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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
 und 
Xinling Zhang

Xinling Zhang

The department of mechanical and electrical engineering, Hebei Chemical & Pharmaceutical CollegeShijiazhuang, China
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Zhang, Xinling
  
23. Dez. 2022
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Online veröffentlicht: 23. Dez. 2022
Seitenbereich: 799 - 810
Eingereicht: 26. Mai 2022
Akzeptiert: 08. Juli 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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Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere
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