A social recommendation model based on adaptive residual graph convolution networks
Incorporating social information in the recommendation algorithm based on graph neural network (GNN) alleviates the data sparsity and cold-start problems to a certain extent, and effectively improves the recommendation performance of the model. However, there are still shortcomings in the existing s...
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| Главные авторы: | , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
PeerJ Inc.
2025-07-01
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| Серии: | PeerJ Computer Science |
| Предметы: | |
| Online-ссылка: | https://peerj.com/articles/cs-3010.pdf |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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