Graph convolutional neural network for individual consumption behavior analysis

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 networkto analyze individual consumption behavior. Compared with the previous methods, our proposed method has great advantages in speed, accuracy and model size.