GNN-SSER: Graph neural networks with self-attention and session enhanced representation for session-based recommendation
Session-Based Recommendation (SBR) is a technically demanding task that aims to recommend items based on sequences of anonymous behaviors. Graph Neural Networks (GNNs) have demonstrated significant potential in SBR through constructing graphs from behavioral sequences. GNN-based recommendation model...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
KeAi Communications Co., Ltd.
2026-03-01
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| Serier: | Journal of Information and Intelligence |
| Fag: | |
| Online adgang: | http://www.sciencedirect.com/science/article/pii/S2949715925000319 |
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