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A diffusion-driven multi-view mixed contrastive learning framework for bundle recommendation

delete2025-12-09
delete0
PRE
AI
X
Xiaoying Gao
J
Jianting Chen
Y
Yunxiao Yang
Z
Zaiyuan Di
Y
Yang Xiang *
DOI：10.1016/j.eswa.2025.130690delete
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Abstract

Abstract

En 中文
• A novel framework solves semantic inconsistency in bundle recommendation. • Collaborative graph diffusion generates semantically-aligned multi-view graphs. • Mixed contrastive learning mitigates semantic drift across different views. • Achieves over 13

Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

No organization information available