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Multi-View Graph Contrastive Neural Networks for Session-Based Recommendation

Session-based recommendation (SBR) aims to predict the next item a user may interact with based on an anonymous session, playing a crucial role in real-time recommendation scenarios. However, existing SBR models struggle to effectively capture local session dependencies and global item relationships...

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Principais autores: Pengbo Huang, Chun Wang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-05-01
Serier:Mathematics
Fag:
session-based recommendation
graph neural networks
contrastive learning
multi-view graph modeling
attention mechanism
Online adgang:https://www.mdpi.com/2227-7390/13/9/1530
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