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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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
KeAi Communications Co., Ltd.
2026-03-01
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| Seri Bilgileri: | Journal of Information and Intelligence |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2949715925000319 |
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