A Multi-Behavior Recommendation Method for Users Based on Graph Neural Networks
Most existing recommendation models only consider single user–item interaction information, which leads to serious cold-start or data sparsity problems. In practical applications, a user’s behavior is multi-type, and different types of user behavior show different semantic information. To achieve mo...
| Autores principales: | , , , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
MDPI AG
2023-08-01
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| Colección: | Applied Sciences |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2076-3417/13/16/9315 |