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Precise Marketing Strategy Optimization of E-Commerce Platform Based on KNN Clustering

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  • Benfang Yang
  • Jiye Li
  • Miaochao Chen

Abstract

With the development of computer technology and the arrival of the era of artificial intelligence, the analysis of user demand bias is of great significance to the operation optimization of e-commerce platforms. Combined with CS domain signaling data, IP packet data of PS domain, and customer CRM data provided by operators, this research studies each dimension index of operator user portrait, after that the operator user portrait platform is divided into some individual subunits, and then the corresponding data mining technology is carried out to study the implementation scheme of each subunit. The system can process and mine multidimensional data of operators’ users and form user portraits on the basis of user data aggregation. Finally, based on the operator user portrait platform studied in this paper, the operator user data are analyzed from both the user’s mobile phone use behavior and user consumption behavior. Furthermore, the application value of this research in the precision marketing and personalized service of operators is illustrated.

Suggested Citation

  • Benfang Yang & Jiye Li & Miaochao Chen, 2022. "Precise Marketing Strategy Optimization of E-Commerce Platform Based on KNN Clustering," Journal of Mathematics, Hindawi, vol. 2022, pages 1-8, January.
    • Handle: RePEc:hin:jjmath:7957509
    DOI: 10.1155/2022/7957509
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    Cited by:

    1. Su, Jingqin & Zhang, Yajie & Wu, Xianyun, 2023. "How market pressures and organizational readiness drive digital marketing adoption strategies' evolution in small and medium enterprises," Technological Forecasting and Social Change, Elsevier, vol. 193(C).

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