基于BP神经网络的有线电视用户流失预测
首发时间:2019-12-06
摘要:随着科技的飞速发展,传统的有线电视行业遭受了电信运营商与互联网视频的双重冲击。在这种情况下有线电视用户逐渐开始流失,广电运营商应及时发现并对即将流失用户进行挽留。本文提出了一种基于BP神经网络的有线电视用户流失预测方法,流失预测模型除了参考用户信息与收视时长信息外,还额外加入了观看节目类型等信息来反映用户的特征。此外还使用真实的有线电视用户数据进行实例分析,结果表明基于BP神经网络的有线电视用户流失预测方法有着不错的预测效果。
For information in English, please click here
Prediction of CATV customer churn based on BP neural network
Abstract:With the rapid development of science and technology, the traditional cable TV business suffered the impact of telecom operators and Internet free video. In this case, cable TV users gradually began to churn, cable TV operators should timely identify and retain the churn of users. In this paper, a BP neural network based cable TV user churn prediction method is proposed. First of all, this paper analyzes and processes the basic information of real users and viewing information data. Then according to the characteristics of cable TV users, select the parameters that can reflect the characteristics of churn and conduct dimensionality reduction processing on them. Finally, a churn prediction model is established based on BP neural network. The result of the example model proves that the cable TV user churn prediction method based on BP neural network has satisfactory prediction effect.
Keywords: cable TV customer churn churn prediction BP neural network
基金:
引用
No.****
动态公开评议
共计0人参与
勘误表
基于BP神经网络的有线电视用户流失预测
评论
全部评论0/1000