<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the development of e-commerce technology, the relationship between enterprises and customers has been completely changed. 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 schemes of customer retention and customer upgrading will play an important role in promoting the development of e-commerce enterprises. Therefore, the classification of e-commerce customers based on Back Propagation (BP) neural network is studied in this work. Firstly, the theoretical basis of customer classification is summarised in the Introduction and theoretical part. Then, a classification index system of the e-commerce customer is constructed, and on this basis, a classification model of the e-commerce customer based on the BP neural network is constructed. Finally, the results of classification are analysed with related data.</p>
</abstract>

With the development of e-commerce technology, the relationship between enterprises and customers has been completely changed. 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 schemes of customer retention and customer upgrading will play an important role in promoting the development of e-commerce enterprises. Therefore, the classification of e-commerce customers based on Back Propagation (BP) neural network is studied in this work. Firstly, the theoretical basis of customer classification is summarised in the Introduction and theoretical part. Then, a classification index system of the e-commerce customer is constructed, and on this basis, a classification model of the e-commerce customer based on the BP neural network is constructed. Finally, the results of classification are analysed with related data.

Research on classification of e-commerce customers based on BP neural network

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Research on classification of e-commerce customers based on BP neural network"}

With the development of e-commerce technology, the relationship between enterprises and customers has been completely changed. The core management concept of...

Research on classification of e-commerce customers based on BP neural network

Online veröffentlicht: 01. Dez. 2022

Seitenbereich: 2581 - 2594

Eingereicht: 29. März 2022

Akzeptiert: 14. Juni 2022

DOI: https://doi.org/10.2478/amns.2022.1.00033

Schlüsselwörter
BP neural network, e-commerce, customer classification

© 2023 Liang Yin, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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Research on classification of e-commerce customers based on BP neural network

Online veröffentlicht: 01. Dez. 2022

Seitenbereich: 2581 - 2594

Eingereicht: 29. März 2022

Akzeptiert: 14. Juni 2022

DOI: https://doi.org/10.2478/amns.2022.1.00033

SchlüsselwörterBP neural network, e-commerce, customer classification

© 2023 Liang Yin, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Schlüsselwörter
BP neural network, e-commerce, customer classification