A study on the efficiency and accuracy of neural network model to optimize personalized recommendation of teaching content

Data publikacji: 21 mar 2025

Otrzymano: 08 lis 2024

Przyjęty: 16 lut 2025

DOI: https://doi.org/10.2478/amns-2025-0547

Słowa kluczowe

Graph convolutional neural network, Joint probability matrix decomposition, CUPMF, Cognitive diagnosis, Personalized recommendation

© 2025 Weihang Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.