Graph contrast learning for recommendation based on relational graph convolutional neural network
Current knowledge graph-based recommendation methods heavily rely on high-quality knowledge graphs, often falling short in effectively addressing issues such as the cold start problem and heterogeneous noise in user interactions. This leads to biases in user interest and popularity. To overcome thes...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer
2024-10-01
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| Schriftenreihe: | Journal of King Saud University: Computer and Information Sciences |
| Schlagworte: | |
| Online-Zugang: | http://www.sciencedirect.com/science/article/pii/S131915782400257X |
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