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User data processing method, device and equipment and readable storage medium

A technology of user data and processing methods, which is applied in the field of communication, can solve the problems of coarse user cluster division and inability to accurately reflect changes in users' monthly consumption behavior characteristics, and achieve the effect of accurate division and high efficiency

Inactive Publication Date: 2019-03-19
CHINA UNITED NETWORK COMM GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a user data processing method, device, device, and readable storage medium, which are used to solve the problem that the traditional user clusters are divided into coarser granularity and cannot accurately reflect changes in user monthly consumption behavior characteristics.

Method used

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  • User data processing method, device and equipment and readable storage medium
  • User data processing method, device and equipment and readable storage medium
  • User data processing method, device and equipment and readable storage medium

Examples

Experimental program
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Embodiment 1

[0031] figure 1 It is a flow chart of the user data processing method provided by Embodiment 1 of the present invention. The embodiment of the present invention provides a user data processing method for the problem that the traditional user clusters are divided into coarse granularity and cannot accurately reflect the change of the user's monthly consumption behavior characteristics. like figure 1 As shown, the specific steps of the method are as follows:

[0032] Step S101, acquiring user behavior characteristic data.

[0033] In this embodiment, the user's behavior characteristic data may include various types of characteristic data. For example, behavior feature data may include: user’s business package data, such as traffic and voice data in the package; user’s business usage data, such as traffic usage, call duration, consumption amount, etc.; and user attribute data, etc. .

[0034] In addition, the user's behavior characteristic data may include discrete data and ...

Embodiment 2

[0046] figure 2 It is a flow chart of the user data processing method provided by Embodiment 2 of the present invention. On the basis of the first embodiment above, in this embodiment, based on the ARPU value of the user, the behavioral feature data is screened, and after obtaining the behavioral feature data of the target user whose ARPU value is within the preset range, it also includes: according to the preset feature Data type, to determine whether a certain type of feature data is missing in the behavior feature data of each target user; perform data filling processing on the behavior feature data of each target user missing at least one type of feature data. like figure 2 As shown, the specific steps of the method are as follows:

[0047] Step S201, acquiring user behavior feature data.

[0048]In this embodiment, the user's behavior characteristic data may include various types of characteristic data. For example, behavior feature data may include: user’s business...

Embodiment 3

[0088] image 3 It is a schematic structural diagram of a user data processing device provided in Embodiment 3 of the present invention. The user data processing apparatus provided in the embodiment of the present invention can execute the processing procedure provided in the embodiment of the user data processing method. like image 3 As shown, the device 30 includes: a data acquisition module 301 , a preprocessing module 302 and a clustering processing module 303 .

[0089] Specifically, the data acquisition module 301 is used to acquire user behavior characteristic data.

[0090] The preprocessing module 302 is used to filter the behavior characteristic data based on the user's ARPU value, and obtain the behavior characteristic data of the target user whose ARPU value is within a preset range.

[0091] The cluster processing module 303 is configured to use a preset clustering algorithm to perform cluster analysis and processing on the behavior characteristic data of the ta...

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Abstract

The embodiment of the invention provides a user data processing method, device and equipment and a readable storage medium. The method provided by the embodiment of the invention comprises the steps of obtaining behavior characteristic data of a user; screening the behavior characteristic data based on the ARPU value of the user to obtain behavior characteristic data of the target user with the ARPU value in a preset range; preset clustering algorithm, performing clustering analysis processing on the behavior characteristic data of the target user; obtaining multiple user clusters, the marketing object group is determined based on the ARPI value of the user; according to the method, the user cluster is divided into the multiple user clusters, the multiple user clusters are obtained throughreal-time and efficient clustering according to the multi-dimensional behavior characteristic data of the user, the user clusters are divided more accurately and more efficiently, and therefore the marketing strategy used for improving the ARPU value of the user can be further provided for the different user clusters in a targeted mode.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of communications, and in particular, to a user data processing method, device, device, and readable storage medium. Background technique [0002] From the perspective of the development of various operators, the average revenue per user (Average Revenue Per User, ARPU) value of users shows a downward trend year by year, and it is imperative to increase the ARPU value of a single user. [0003] In order to increase the ARPU value of users, it is necessary to divide users into multiple user clusters, and formulate different marketing strategies for different user clusters. At present, operators use technicians to roughly divide users into several different user clusters by setting several cut-off values ​​based on user single behavior characteristic data, such as traffic data. However, the division granularity of traditional user clusters is relatively coarse, which cannot accuratel...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35
Inventor 赵慧张第魏进武
Owner CHINA UNITED NETWORK COMM GRP CO LTD
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