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User activation method, model training method and device, apparatus and storage medium

A user and model technology, applied in the field of data processing, can solve problems such as low accuracy

Pending Publication Date: 2021-01-26
CHINA UNIONPAY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, among the randomly selected users, there will be more users who fail to activate, resulting in a lower accuracy rate of user activation success

Method used

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  • User activation method, model training method and device, apparatus and storage medium
  • User activation method, model training method and device, apparatus and storage medium
  • User activation method, model training method and device, apparatus and storage medium

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Embodiment Construction

[0030] The characteristics and exemplary embodiments of various aspects of the application will be described in detail below. In order to make the purpose, technical solution and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only intended to explain the present application rather than limit the present application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

[0031] With the development of information technology, it has become an important trend for users to complete a certain business through applications or specific devices. For exampl...

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Abstract

The invention discloses a user activation method and device, a model training method and device, an apparatus and a storage medium, and belongs to the field of data processing. The method comprises the following steps of acquiring the user characteristic data and user service characteristic data of a tested user; inputting the user characteristic data and the user service characteristic data of the tested user into a pre-trained activation probability model to obtain a predicted activation probability of the tested user output by the activation probability model, wherein the activation probability model comprises a regression tree, the leaf nodes of the regression tree are obtained by training according to the user characteristic data and the user service characteristic data of the sampleusers, so that the difference between the predicted activation probability and the actual activation probability is within an expected value range; determining a target user based on the predicted activation probability of the tested user; and sending the activation touch information to the target user, wherein the activation touch information is used for improving the probability of increasing the service use activity of the target user. According to the embodiment of the invention, the accuracy of predicting user activation success can be improved.

Description

technical field [0001] The present application belongs to the field of data processing, and in particular relates to a user activation method, a model training method, a device, a device, and a storage medium. Background technique [0002] With the development of information technology, it has become an important trend for users to complete a certain business through applications or specific devices. Due to the universality of the service, each service corresponds to a large number of users. According to whether the user uses the service for a period of time, it can be determined whether to take activation measures for the user to increase the activity of the user for the service. [0003] In order to activate users, activation measures can be taken for all users corresponding to the service. However, since the number of users is very large, for example, up to 5 million to 10 million, taking activation measures for all users will generally waste a large amount of activation...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N20/20
CPCG06N20/20G06F18/2411G06F18/24323G06F18/2415G06F18/214
Inventor 顾文渊谭乾陈汉华锦芝
Owner CHINA UNIONPAY