Contrastive learning on high-order noisy graphs for collaborative recommendation
Abstract The graph-based collaborative filtering method has shown significant application value in recommendation systems, as it models user-item preferences by constructing a user-item interaction graph. However, existing methods face challenges related to data sparsity in practical applications. A...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2025-10-01
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| Series: | Scientific Reports |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1038/s41598-025-15890-0 |
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