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

Research Article

Audience Feature Extraction Method for Cross-Border Cosmetics Online Marketing in Japan

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  • @INPROCEEDINGS{10.1007/978-3-030-97124-3_49,
        author={Jingxian Huang},
        title={Audience Feature Extraction Method for Cross-Border Cosmetics Online Marketing in Japan},
        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 cross-border cosmetics Online marketing Audience groups Feature extraction E-commerce platform Electronic commerce},
        doi={10.1007/978-3-030-97124-3_49}
    }
    
  • Jingxian Huang
    Year: 2022
    Audience Feature Extraction Method for Cross-Border Cosmetics Online Marketing in Japan
    SIMUTOOLS
    Springer
    DOI: 10.1007/978-3-030-97124-3_49
Jingxian Huang1
  • 1: Guizhou Minzu University, Guiyang

Abstract

In the context of economic globalization, combined with the development conditions of e-commerce, the trade between countries is becoming closer and closer. In recent years, cosmetics online marketing has become the focus of all sectors of society. Taking Japanese cross-border cosmetics as the research object, this paper makes an in-depth analysis on the characteristics of its online marketing audience. Through the definition of the concept of cross-border e-commerce and the analysis of the current situation of cross-border cosmetics in Japan, this paper comprehensively expounds the development status from two perspectives. Explore Japan's cross-border cosmetics market positioning, divide the market level of women's needs, control product quality risks, optimize the online marketing mode of e-commerce platform, identify audience preferences with hybrid recommendation algorithm, investigate the information recognition degree of women consumers, obtain users’ comprehensive similarity, establish feature extraction mechanism, and finally realize the design of feature extraction method.

Keywords
Japanese cross-border cosmetics Online marketing Audience groups Feature extraction E-commerce platform Electronic commerce
Published
2022-03-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-97124-3_49
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