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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Detalhes bibliográficos

Principais autores:	Qiang Tian, Caihong Mu, Yi Liu, Jialiang Zhou
Formato:	Artigo
Idioma:	Inglês
Publicado em:	KeAi Communications Co., Ltd. 2026-03-01
coleção:	Journal of Information and Intelligence
Assuntos:	Session-based recommendation Graph neural networks Transformer
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2949715925000319
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