A method and device for predicting user churn

A user churn and prediction method technology, applied in the field of information processing, can solve the problems of influence, churn user prediction accuracy, low user separability, etc., and achieve the effect of improving separability, possibility and accuracy.

Active Publication Date: 2019-03-29
ZTE CORP
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  • Abstract
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Problems solved by technology

[0003] There are some methods of user churn prediction in the prior art, but these prediction methods are not highly separable between churn and non-churn users, which seriously affects the prediction accuracy of churn users

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  • A method and device for predicting user churn
  • A method and device for predicting user churn
  • A method and device for predicting user churn

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Embodiment Construction

[0032] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0033] The embodiment of the present invention provides a user churn prediction method and device, the purpose of which is to improve the separability of data related to churn and non-churn users, and then improve the prediction accuracy of churn users; at the same time, through reinforcement learning, the users who can be retained are used as reference standards, Adjust the churn prediction model to make the predicted high-risk chu...

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Abstract

The invention discloses a method and device for predicting user churn. The method comprises the following steps: extracting basic characteristic information of a user from historical user data; according to the basic characteristic information of the user, modeling parameters that can characterize the use characteristics of the user, and obtaining a secondary characteristic group of the parameters; according to the loss state of the user, training the preset classifier by using the secondary feature group to obtain a trained classifier model; and using the classifier model to predict user churn. The invention introduces a quadratic feature extraction mechanism, models the extracted quadratic features respectively to obtain a new feature group, and takes the new feature group as training data of a classifier model, thereby improving the separability of the loss and non-loss user experience, and further improving the prediction accuracy of the loss user.

Description

technical field [0001] The invention relates to the field of information processing, in particular to a user loss prediction method and device. Background technique [0002] When telecom operators provide users with IPTV (Internet Protocol Television, Internet Protocol Television) video services, they are often very concerned about whether users will leave the network, that is, churn. Losing a subscriber is costly for the operator, as it is no longer possible to monetize that subscriber. Studies have shown that the cost of developing a new user is five times that of retaining an old one. Obviously, an effective user churn prediction method can help operators discover users who are about to leave the network in time, so as to adopt certain strategies to retain these users, and ultimately increase operating profits. [0003] There are some user churn prediction methods in the prior art, but these prediction methods are not highly separable between churn users and non-churn u...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0201G06Q30/0203G06F18/24323G06F18/241
Inventor 卓可秋
Owner ZTE CORP
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