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Knowledge-Flow Contrastive Learning for recommendation
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DOI：10.1016/j.inffus.2025.103477.png)
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摘要
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• KFCL能够减轻知识图谱感知推荐系统中的对比学习引入的噪声。
• 通过知识融合和多视图特征融合增强了用户偏好。
• 探索了对比学习和特征融合的互补作用。
• 分析并证明了知识图谱感知推荐系统中噪声的来源。
Keyword:
Knowledge graph
Contrastive learning
Feature fusion
Graph neural networks
Recommender system
期刊
IF:
15.5
论文数:
4.2K
被引数:
2.7W
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引用论文
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