Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26–28, 2023, Nanjing, China

Research Article

Prediction of Consumer Behavior Based on Machine Learning Algorithm

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  • @INPROCEEDINGS{10.4108/eai.26-5-2023.2334304,
        author={Yan  Jiang},
        title={Prediction of Consumer Behavior Based on Machine Learning Algorithm},
        proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2023},
        month={7},
        keywords={consumer behavior; precision marketing; random forest; machine learning; unbalanced sample; principal component analysis},
        doi={10.4108/eai.26-5-2023.2334304}
    }
    
  • Yan Jiang
    Year: 2023
    Prediction of Consumer Behavior Based on Machine Learning Algorithm
    MSEA
    EAI
    DOI: 10.4108/eai.26-5-2023.2334304
Yan Jiang1,*
  • 1: Zhejiang Gongshang University
*Contact email: 2966348454@qq.com

Abstract

Under the background of digital economy, the Internet industry pays more and more attention to the importance of user consumption behavior, but how to distinguish high-quality user channels and optimize marketing costs has always been the pain point of companies. In this paper, we propose an analysis and prediction method of consumer behavior based on machine learning algorithm. Therefore, based on the statistical analysis of platform user data indicators, this paper establishes an improved random forest model based on unbalanced samples. This paper proposes a prediction method of consumer behavior based on machine learning algorithm, through the value analysis of user consumption behavior, hoping to provide reasonable suggestions for enterprises in precision marketing based on user consumption behavior analysis in the context of the era of big data.