Personalized recommendation system for e-commerce websites based on multi-scale graph neural network

Journal of Circuits, Systems and ComputersAccepted Papers No AccessPersonalized recommendation system for e-commerce websites based on multi-scale graph neural networkYongping Wang and Lijuan WangYongping Wang and Lijuan Wang Search for more papers by this author https://doi.org/10.1142/S0218126625502779Cited by:0 (Source: Crossref) PreviousNext AboutFiguresReferencesRelatedDetailsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Cite Recommend We recommendA Multiscale Graph Neural Network-based Personalized Recommender System for Online Consumption DecisionDahuan Zheng, Xiaomeng Shi, Journal of Circuits, Systems and Computers, 2024Travelling Route Recommendation Method Based on Graph Neural Network for improving travel experienceLang Wang, Journal of Circuits, Systems and Computers, 2022Image Classification Method Based on Multi-scale Convolutional Neural NetworkShaobo Du, Journal of Circuits, Systems and Computers, 2023A Visual Transformer and Convolution Neural Network-based Intelligent Recommender System for E-Commerce ScenesHua DENG, Haiying Huang, Osama Alfarraj, et al., Journal of Circuits, Systems and Computers, 2024Multi-semantic decoding of visual perception with graph neural networkRong Li, International Journal of Neural Systems, 2024Comparative overall survival of CDK4/6 inhibitors plus an aromatase inhibitor in HR+/HER2− metastatic breast cancer in the US real-world setting Brought to you by Pfizer Medical Affairs, EM-USA-PLB-0170Powered by Privacy policyGoogle Analytics settings FiguresReferencesRelatedDetails Recommended Recommended A personalized network-based recommendation approach via distinguishing user's preferenceWei Wu, Ruoxi Zhang, and Lianggui LiuInternational Journal of Modern Physics BVol. 33, No. 06E-commerce Personalized Recommendation Algorithm On Mobile PlatformBy (author): Fen ZHOUArtificial Intelligence Science and TechnologyDEGREE CORRELATION OF BIPARTITE NETWORK ON PERSONALIZED RECOMMENDATIONJIAN-GUO LIU, TAO ZHOU, BING-HONG WANG, YI-CHENG ZHANG, and QIANG GUOInternational Journal of Modern Physics CVol. 21, No. 01Design of Graph Neural Network Social Recommendation Algorithm Based on Coupling InfluenceWei Qi, Jiaxu Yu, Qiao Liang, Zhenzhen Huang, Zhiou Xu, and Haifeng JiangInternational Journal of Pattern Recognition and Artificial IntelligenceVol. 36, No. 14Personalized tag recommendation via adversarial learningBy (author): Fengyixin Jiang, Yonghong Yu, Weibin Zhao, Li Zhang, Jing Jiang, Qiang Wang, Xuewen Chen, and Guangsong HuangDevelopments of Artificial Intelligence Technologies in Computation and RoboticsPersonalized Knowledge Recommendation Based on Knowledge Graph in Petroleum Exploration and DevelopmentGang Huang, Man Yuan, Chun-Sheng Li, and Yong-he WeiInternational Journal of Pattern Recognition and Artificial IntelligenceVol. 34, No. 10CLUSTERING EFFECT OF USER-OBJECT BIPARTITE NETWORK ON PERSONALIZED RECOMMENDATIONQIANG GUO and JIAN-GUO LIUInternational Journal of Modern Physics CVol. 21, No. 07Graph Neural Network Social Recommendation Algorithm Integrating Static and Dynamic FeaturesWei Qi, Zhenzhen Huang, Dongqing Zhu, and Jiaxu YuInternational Journal of Pattern Recognition and Artificial IntelligenceVol. 36, No. 09 Accepted Papers Metrics Downloaded 0 times History Received 3 October 2024 Accepted 14 February 2025 PDF download