Heterogeneous Multi-Behavior Recommendation Based on Graph Convolutional Networks
Traditional recommendation systems usually use single user-item interaction information, which ignore the multiple relationships that exist for other interactions (e.g., likes, clicks). Multi-behavioral recommendation models compensate for the shortcomings of traditional models. The existing multi-b...
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| Huvudupphov: | , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
IEEE
2023-01-01
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| Serie: | IEEE Access |
| Ämnen: | |
| Länkar: | https://ieeexplore.ieee.org/document/10058496/ |
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