Research on design of customer portrait system for E-commerce
- Autores: Lingjie Cai, Jun Li
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 2, 2023, págs. 275-288
- Idioma: inglés
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Resumen
Customer portrait is the customer information that is labelled and digitised. Collecting and studying consumer data ishighly helpful to enterprises because it empowers them to use these data to locate target groups and meet various customerneeds. With the continuous rise of the e-commerce market, major e-commerce websites list providing customer value andbeing data-driven as company values. Traditional customer portraits rely excessively on objective and past experience; so,a simple but powerful customer portrait system is required to make the customer analysis platform simple and intelligent,and to make the data accumulated at ordinary times bring practical value to e-commerce companies. Based mainly onaddressing this requirement, this paper proposes an effective customer portrait system for e-commerce. First, the researchbackground and significance is expounded, which lays a theoretical foundation for this research. Then, the customerportrait system is designed, including the overall design scheme and functional framework of the system. The improvedFCM algorithm is used as the basis for building the customer portrait model, and the performance of this algorithm isanalysed and compared with that of the improved algorithm used in this paper.
