A novel method for a technology enhanced learning recommender system considering changing user interest based on neural collaborative filtering
This study introduces an advanced recommender system for technology enhanced learning (TEL) that synergizes neural collaborative filtering, sentiment analysis, and an adaptive learning rate to address the limitations of traditional TEL systems. Recognizing the critical gap in existing approaches—pri...
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| Main Authors: | Mohammad Mehran Lesan Sedgh, Alimohammad Latif, Sima Emadi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co. Ltd.
2025-06-01
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| Series: | Data Science and Management |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266676492400050X |
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