Self-Supervised Enhancement Method for Multi-Behavior Session-Based Recommendation

Session-Based Recommendation(SBR) aims to capture users’ short-term and dynamic preferences through anonymous sessions. Most existing SBR methods neglect the collaborative information between multiple behaviors in a session when modeling user preferences, and they often struggle to capture th...

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Detalles Bibliográficos

Principais autores:	Zhen Zhang, Jingai Zhang, Jintao Chen, Yuzhao Huang, Xiaoyang Huang
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Access
Assuntos:	Session-based recommendation graph neural networks heterogeneous graph hypergraph self-supervised learning
Acceso en liña:	https://ieeexplore.ieee.org/document/10763488/
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