计算机与现代化Issue(3)：27-31,5.DOI:10.3969/j.issn.1006-2475.2017.03.006
基于MLP神经网络模型的客户评分应用研究
Research on Customer Scoring Application Based on MLP Neural Network Model
王冰 1韩俊宇2
作者信息
- 1. 广东省邮政信息技术局,广东 广州 510000
- 2. 巴黎第九大学,法国 巴黎 75775
- 折叠
摘要
Abstract
The judgment of the possibility that customers purchase products is the focus of the enterprise marketers` attention.The paper addresses the cross-selling for the insurance product customers and other financial product customers, thereby highly accurately quantifies their potential purchasing power.According to the summary of the applied theory of the personal insurance business, this paper presents a customer purchasing behavior scoring model.Through the use of the simplified insurance customer data of China Post Financiers, this paper carries out an empirical analysis of the model effectiveness.The results of the study show that the model, with a good forecasting performance, provides more efficient predictions and specific evaluation criteria, thus being able to help enterprises timely identify the most effective marketing tool for customer acquisition and retention, ultimately improving marketing success to a greater extent.关键词
评分模型/多层感知器(MLP)/神经网络/数据挖掘Key words
scoring model/multilayer perceptron (MLP)/neural network/data mining分类
信息技术与安全科学引用本文复制引用
王冰,韩俊宇..基于MLP神经网络模型的客户评分应用研究[J].计算机与现代化,2017,(3):27-31,5.
