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Simulation Tools and Techniques. 13th EAI International Conference, SIMUtools 2021, Virtual Event, November 5-6, 2021, Proceedings

Research Article

Real-Time Statistical Method for Marketing Profit of Japanese Cosmetics Online Cross-Border E-commerce Platform

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  • @INPROCEEDINGS{10.1007/978-3-030-97124-3_48,
        author={Jingxian Huang},
        title={Real-Time Statistical Method for Marketing Profit of Japanese Cosmetics Online Cross-Border E-commerce Platform},
        proceedings={Simulation Tools and Techniques. 13th EAI International Conference, SIMUtools 2021, Virtual Event, November 5-6, 2021, Proceedings},
        proceedings_a={SIMUTOOLS},
        year={2022},
        month={3},
        keywords={Japanese cosmetics Online cross-border e-commerce platform Marketing profit Real-time statistics Principal component analysis Support vector machine},
        doi={10.1007/978-3-030-97124-3_48}
    }
    
  • Jingxian Huang
    Year: 2022
    Real-Time Statistical Method for Marketing Profit of Japanese Cosmetics Online Cross-Border E-commerce Platform
    SIMUTOOLS
    Springer
    DOI: 10.1007/978-3-030-97124-3_48
Jingxian Huang1
  • 1: Guizhou Minzu University, Guiyang

Abstract

In the cosmetics online cross-border e-commerce platform, the real-time statistics of marketing profits are very important. Taking the marketing profit of Japanese cosmetics online cross-border e-commerce platform as the research object, the development status and trend of Japanese cosmetics market are analyzed. Relying on the e-commerce platform to automatically evaluate the pledge value, the internal circulation of marketing profit is realized. The multi-level classification statistical analysis of marketing profit using the support vector machine in the SLS-SVM algorithm, and the real-time statistics of platform marketing profit are realized.

Keywords
Japanese cosmetics Online cross-border e-commerce platform Marketing profit Real-time statistics Principal component analysis Support vector machine
Published
2022-03-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-97124-3_48
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