Development of Customer Relationship Management System in E-Commerce Based on BP Neural Network

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Abstract:

BP neural network can learn and store a lot of input - output mode mapping, without prior reveal the mathematical equations describe the mapping. The model based on BP neural network algorithm is constituted by an input layer, output layer and one hidden layer, three-layer feed forward network. CRM is to acquire, maintain and increase the methods and processes of profitable customers. The core of CRM is the customer value management, customer value; it is divided into the de facto value, potential value and model value. The paper presents development of customer relationship management system in e-commerce based on BP neural network. The experiment shows BP is superior to RFCA in CRM.

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[1] Bu-Qing CAO, Jian-Xun LIU, Bin Wen, Currency Characteristic Extraction and Identification Research Based on PCA and BP Neural Network, JCIT, Vol. 7, No. 2, p.38 ~ 44, (2012).

DOI: 10.4156/jcit.vol7.issue2.5

Google Scholar

[2] Xiaojun WU, The Application of Neural Network Technology in Electronic Commerce Evaluation System, JDCTA, Vol. 5, No. 12, p.233 ~ 239, (2011).

Google Scholar

[3] Wei Min, Construction of Marketing Management Information System of Travel Agency Based on Customer Relationship Management, JCIT, Vol. 5, No. 8, p.241 ~ 251, (2010).

DOI: 10.4156/jcit.vol5.issue8.27

Google Scholar

[4] Siavash Emtiyaz, MohammadReza Keyvanpour, Customers Behavior Modeling by Semi-Supervised Learning in Customer Relationship Management, AISS, Vol. 3, No. 9, p.229 ~ 236, (2011).

DOI: 10.4156/aiss.vol3.issue9.31

Google Scholar

[5] Shun-Chieh Lin, Chun-Ho Tung, Nien-Yi Jan, Ding-An Chiang, Evaluating Churn Model in CRM: A Case Study in Telecom, JCIT, Vol. 6, No. 11, p.192 ~ 200, (2011).

Google Scholar