Multi-Behavior Hypergraph Contrastive Learning for Session-Based Recommendation
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DOI: 10.1109/tkde.2024.3523383
Abstract: Most current session-based recommendations model session sequences solely based on the user's target behavior, ignoring the user's hidden preferences in auxiliary behaviors. Additionally, they use ordinary graphs to model one-to-one item correlations in the current… read more here.
Keywords: session representation; multi behavior; session; contrastive learning ... See more keywords