GAT4Rec: Sequential Recommendation with a Gated Recurrent Unit and Transformers
Capturing long-term dependency from historical behaviors is the key to the success of sequential recommendation; however, existing methods focus on extracting global sequential information while neglecting to obtain deep representations from subsequences. Previous research has revealed that the rest...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2024-07-01
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| Collection: | Mathematics |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2227-7390/12/14/2189 |
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