Bi-View Contrastive Learning with Hypergraph for Enhanced Session-Based Recommendation

Session-based recommendation (SBR) aims to predict a user’s next interests based on their actions in a single visit. Recent methods utilize graph neural networks to study the pairwise relationship of item transfers, yet these often overlook the complex high-order connections between items. Hypergrap...

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Principais autores:	Zijun Wang, Lai Wei
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-03-01
סדרה:	Information
נושאים:	session-based recommendation hypergraph convolutional network contrastive learning bi-view graph learning multi-task joint learning
גישה מקוונת:	https://www.mdpi.com/2078-2489/16/4/267
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