Graph convolutional neural network for individual consumption behavior analysis

Vincent Zhou

doi:10.1117/12.2660086

3 February 2023 Graph convolutional neural network for individual consumption behavior analysis

Vincent Zhou

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125113A (2023) https://doi.org/10.1117/12.2660086
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

It is a research topic of great significance to analyze individual consumption behavior and make targeted recommendations. In this paper, we propose to use graph convolutional neural network to analyze individual consumption behavior. Compared with the previous methods, our proposed method has great advantages in speed, accuracy and model size.

Citation Download Citation

Vincent Zhou "Graph convolutional neural network for individual consumption behavior analysis", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125113A (3 February 2023); https://doi.org/10.1117/12.2660086

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