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User churn prediction method and device

A user and off-grid technology, applied in the field of communication, can solve problems such as incompleteness, inaccurate prediction of user off-net status, difficulty in predicting user status, etc., and achieve reliable and accurate prediction results

Inactive Publication Date: 2016-03-30
HUAWEI TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these data are not comprehensive enough to describe the user's off-grid characteristics, and often cannot accurately predict the user's future off-grid status. The number of text messages and the monthly consumption amount have not changed much, so it is difficult to predict the status of the user after half a year

Method used

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  • User churn prediction method and device
  • User churn prediction method and device

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Embodiment Construction

[0040] The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0041] Embodiments of the present invention provide a method and device for predicting users leaving the network, which can accurately predict the situation of users leaving the network in the future.

[0042] see figure 1 , one embodiment of the method for predicting users leaving the network in the present invention includes:

[0043] 101. Obtain the user's business consumption feature data, location activity feature data, and social network feature data within the firs...

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Abstract

An embodiment of the invention discloses a user churn prediction method and device. The method comprises the following steps: obtaining service consumption feature data, position activity feature data and social network feature data of a user within a first preset time, wherein the position activity feature data refers to relevant data obtained when the user is communicated with each base station within the first preset time, and the social network feature data refers to relevant data obtained when the user is communicated with other users in a social network within the first preset time; and inputting the obtained service consumption feature data, the position activity feature data and the social network feature data to a pre-trained classifier for calculation and outputting a calculation result, wherein the calculation result is the user churn prediction result. The user churn prediction method and device can improve accuracy of user churn prediction.

Description

technical field [0001] The embodiments of the present invention relate to the field of communication technologies, and in particular, to a method and device for predicting a user leaving a network. Background technique [0002] For most enterprises based on network services, it is very important to predict whether users will leave the network in the future and the main reasons for leaving the network. For example, telecom operators are very concerned about whether their online users may leave the network in the future and the time and reason for leaving the network, and then use these results to carry out targeted maintenance and retention activities for users who may leave the network, so as to protect the value of existing users. Continue to provide stable profits for telecom operators. Usually, operators hope to be able to predict the tendency of users to leave the network some time in advance, so as to have enough time to maintain and retain users. [0003] Existing te...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/00G06N20/00
CPCH04L12/04H04M15/60H04M15/58H04W4/24G06N20/00G06Q30/01G06Q50/01H04M2215/0188H04L67/535H04M2215/32
Inventor 曾嘉袁明轩戴文渊
Owner HUAWEI TECH CO LTD
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