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AdaptedKG

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8月24日
10:55
10:55官方账号arXiv cs.AI@Zichun Jin, Zihan Zhou, Yinan Liu, Bin Wang, Xiaochun Yang
This paper introduces AdaptedKG, a method for behavior denoising in sequential recommendation by using knowledge graphs. It identifies unusual relational paths and calibrates interaction support within a local KG view, improving retention coefficients and reweighting target losses. Experiments demonstrate gains with standard and behavior-denoising recommenders.
论文AdaptedKGknowledge graphssequential recommendation
推荐理由：AdaptedKG uses knowledge graphs to improve sequential recommendation by denoising behavior, which is a unique approach compared to other methods. It's worth checking out if you're interested in knowledge graph applications in recommendation systems.
原文