Research on classification of e-commerce customers based on BP neural network
- Autores: Liang Yi
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 2581-2594
- Idioma: inglés
- Enlaces
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Resumen
With the development of e-commerce technology, the relationship between enterprises and customers has been completelychanged. The core management concept of enterprises has gradually transformed from ‘product-centred’ to ‘customer-centred’. Adopting effective methods to classify customers, implementing different management and marketing schemesof customer retention and customer upgrading will play an important role in promoting the development of e-commerceenterprises. Therefore, the classification of e-commerce customers based on Back Propagation (BP) neural network isstudied in this work. Firstly, the theoretical basis of customer classification is summarised in the Introduction and theoret-ical part. Then, a classification index system of the e-commerce customer is constructed, and on this basis, a classificationmodel of the e-commerce customer based on the BP neural network is constructed. Finally, the results of classification areanalysed with related data
