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

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 captur...

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Bibliographic Details
Main Authors: Zhen Zhang, Jingai Zhang, Jintao Chen, Yuzhao Huang, Xiaoyang Huang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Session-based recommendation
graph neural networks
heterogeneous graph
hypergraph
self-supervised learning
Online Access:https://ieeexplore.ieee.org/document/10763488/
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