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Early-warning method and device for terminal-user loss

An end-user, early-warning device technology, applied in the computer field, that can solve the problems of lack of quantifiable accurate descriptions, the constraints and limitations of human knowledge, experience and ability

Active Publication Date: 2014-07-02
CHINA MOBILE GROUP SICHUAN
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing technologies mainly rely on human experience judgments, are easily constrained and limited by the size of human knowledge, experience and ability, and lack quantifiable and precise descriptions

Method used

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  • Early-warning method and device for terminal-user loss
  • Early-warning method and device for terminal-user loss

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Experimental program
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Embodiment Construction

[0020] figure 1 It is a flow chart of the first embodiment of the terminal user loss early warning method of the present invention, as shown in figure 1 As shown, the end user churn early warning method provided by the embodiment of the present invention is executed by the end user churn early warning device, which is set on the server on the network side and communicated with the GB interface.

[0021] The end user churn warning device may be implemented in the form of software and / or hardware, and the method includes:

[0022] Step S100, obtain multi-dimensional user information and sampling data, the multi-dimensional user information includes user background attributes, user consumption attributes, user location attributes, and user terminal attributes, and the sample data includes the total number of off-net users, on-net The total number of users and the number of offline users and online users for each user attribute;

[0023] Step S102, calculating the information ga...

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Abstract

The invention provides an early-warning method and device for terminal-user loss. The method includes: obtaining multi-dimensional user information and sampling data, wherein the multi-dimensional user information includes a user background attribute, a user consumption attribute, a user position attribute and a user terminal attribute, and the sampling data includes the total number of off-network users, the total number of on-network users and the total number of off-network users and the total number of on-network users of each user attribute; calculating information gain of each user attribute in the multi-dimensional user information and according to a preset correlation threshold, judging whether information gain of each user attribute is lower than the preset correlation threshold; and if not so, using user attributes as strong-correlation user attributes and calculating a user loss probability of each strong-correlation user attribute. Through analysis of historical loss data, user attributes which are highly correlated with user loss are determined and thus user loss early warning is performed in advance.

Description

technical field [0001] The invention relates to data mining technology in the field of computers, in particular to a method and device for early warning of terminal user loss. Background technique [0002] With the diversification of mobile communication products, the loss of terminal users has become a serious problem for operators. The construction of the user loss early warning mechanism in the prior art mainly relies on the support of aggregated information and background information. Among them, the channel information support refers to the early warning of user loss based on the customer satisfaction survey during the customer consultation process. Backstage information support refers to all kinds of user information records, records the information of users in the process of network access, payment, complaint consultation and off-network, and provides them to the business and service front-end, and then relies on personnel familiar with business knowledge, rich experi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24G06Q30/00
Inventor 谭卫郑伯勋曾为民杨荒杨霞马国军谈澄秋何清许杰叶锐曾昂黄云飞徐泗洪
Owner CHINA MOBILE GROUP SICHUAN
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