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Multi-behavior Popularity-aware Recommendation
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DOI：10.1016/j.inffus.2026.104771.png)
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Abstract
En 中文
• A novel multi-behavior model leveraging behavior dependencies.
• Users classifications for personalized popularity debiasing.
• A popularity matching loss effectively mitigates recommendation bias.
Keywords:
Popularity-aware Recommendation
Multiple Behaviors
Graph Convolutional Network
Journal
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