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Customer churn prediction method and device

A technology of user churn and prediction method, applied in the field of data processing, can solve the problems of low accuracy of prediction models, reduce the accuracy of predicted users, and churn, and achieve the effect of accurately predicting whether users will churn.

Inactive Publication Date: 2018-03-20
CHINA TELECOM CORP LTD
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Problems solved by technology

However, due to the randomness of the sample, the accuracy of the prediction model is low, which in turn reduces the accuracy of predicting whether the user will churn

Method used

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  • Customer churn prediction method and device
  • Customer churn prediction method and device
  • Customer churn prediction method and device

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Embodiment Construction

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0027] Reference below figure 1 A method for predicting user churn according to an embodiment of the present invention is described.

[0028] figure 1 This is a flow chart of an embodiment of the user churn prediction method of the present invention. like figure...

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Abstract

The invention discloses a customer churn prediction method and device and relates to the data processing field. The customer churn prediction method comprises the following steps: customer data is classified, the customer data is labeled as churned customers and non-churned customers, partial customer data is extracted from each class of customer data, a classifying model is trained according to characteristics of the extracted customer data, and a classifier is obtained and used for predicting whether customers to be tested will be churned. The classifying model used for predicting whether the customers will be churned is trained via classification of the customer data and extraction of the partial customer data from each class, characteristics of original customer data can be fully reflected by the data used for training the classifying model, and whether the customers will be churned can be accurately predicted.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a method and device for predicting user churn. Background technique [0002] At present, enterprises should pay more attention to existing users while focusing on attracting and developing new users. The premise of retaining existing users is to understand existing users, predict the possibility of user loss, and take corresponding retention measures before users show signs of loss, which can prevent user loss and improve business efficiency. [0003] In the process of modeling the existing user churn prediction model, randomly selected sample data is used for modeling. However, due to the randomness of the samples, the accuracy of the prediction model is low, which in turn reduces the accuracy of predicting whether users churn. SUMMARY OF THE INVENTION [0004] A technical problem to be solved by the embodiments of the present invention is: how to improve the accuracy ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06K9/62
CPCG06Q10/04G06F18/2413G06F18/214
Inventor 唐维东
Owner CHINA TELECOM CORP LTD
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