Ripple Knowledge Graph Convolutional Networks for Recommendation Systems

doi:10.1007/s11633-023-1440-x

CASIA OpenIR > 学术期刊 > Machine Intelligence Research

	Ripple Knowledge Graph Convolutional Networks for Recommendation Systems
	Chen Li 1; Yang Cao 2; Ye Zhu 2; Debo Cheng 3; Chengyuan Li 4; Yasuhiko Morimoto 4
发表期刊	Machine Intelligence Research
ISSN	2731-538X
	2024
卷号	21 期号:3 页码:481-494
摘要	Using knowledge graphs to assist deep learning models in making recommendation decisions has recently been proven to effectively improve the model's interpretability and accuracy. This paper introduces an end-to-end deep learning model, named representation-enhanced knowledge graph convolutional networks (RKGCN), which dynamically analyses each user′s preferences and makes a recommendation of suitable items. It combines knowledge graphs on both the item side and user side to enrich their representations to maximize the utilization of the abundant information in knowledge graphs. RKGCN is able to offer more personalized and relevant recommendations in three different scenarios. The experimental results show the superior effectiveness of our model over 5 baseline models on three real-world datasets including movies, books, and music.
关键词	Deep learning, recommendation systems, knowledge graph, graph convolutional networks (GCNs), graph neural networks (GNNs)
DOI	10.1007/s11633-023-1440-x
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/56477
专题	学术期刊_Machine Intelligence Research
作者单位	1.Graduate School of Informatics, Nagoya University, Chikusa, Nagoya 464-8602, Japan 2.Centre for Cyber Resilience and Trust, Deakin University, Burwood 3125, Australia 3.Science, Technology, Engineering and Mathematics (STEM) , University of South Australia, Adelaide 5000, Australia 4.Graduate School of Engineering, Hiroshima University, Higashi-hiroshima 10587, Japan
推荐引用方式 GB/T 7714	Chen Li,Yang Cao,Ye Zhu,et al. Ripple Knowledge Graph Convolutional Networks for Recommendation Systems[J]. Machine Intelligence Research,2024,21(3):481-494.
APA	Chen Li,Yang Cao,Ye Zhu,Debo Cheng,Chengyuan Li,&Yasuhiko Morimoto.(2024).Ripple Knowledge Graph Convolutional Networks for Recommendation Systems.Machine Intelligence Research,21(3),481-494.
MLA	Chen Li,et al."Ripple Knowledge Graph Convolutional Networks for Recommendation Systems".Machine Intelligence Research 21.3(2024):481-494.

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