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

Abstract With the development of e-commerce technology, relationship between enterprises and customers has been completely changed. The core management concept gradually transformed from ‘product-centred’ to ‘customer-centred’. Adopting effective methods classify customers, implementing different marketing schemes customer retention upgrading will play an important role in promoting enterprises. Therefore, classification based on Back Propagation (BP) neural network is studied this work. Firstly, theoretical basis summarised Introduction part. Then, a index system constructed, basis, model BP constructed. Finally, results are analysed with related data.