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User grouping processing method and device

A processing method and user technology, applied in the field of data processing, can solve problems such as low discrimination, simple features, low accuracy, and easy introduction of human subjectivity.

Pending Publication Date: 2021-05-18
BIGO TECH PTE LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Artificial grouping rules have the advantage of being fast and simple, but the disadvantages are also obvious: the setting of the threshold is easy to introduce human subjectivity, the accuracy of simple features is not high, and the more layers of users, the lower the degree of discrimination

Method used

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  • User grouping processing method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] figure 1 A flow chart of a user group processing method provided in Embodiment 1 of the present application is given. The user group processing method provided in this embodiment can be executed by a user group processing device, and the user group processing device can use software and / or hardware way to achieve. Generally speaking, the user group processing device may be a server.

[0032] The following description will be made by taking the user group processing device as the main body executing the user group processing method as an example. refer to figure 1 , the user grouping processing methods include:

[0033] S110. Based on a preset user grouping rule, filter out a preset amount of basic feature data, advanced feature data, and user portraits from the database.

[0034] Specifically, users are divided into lost users, growing users, stable users, mature users and loyal users, and the user grouping model is trained based on these five types of sample data, ...

Embodiment 2

[0061] On the basis of the above examples, Image 6 It is a schematic structural diagram of a user grouping processing device provided in Embodiment 2 of the present application. refer to Image 6 , the user grouping processing device provided in this embodiment specifically includes: a data to be marked acquisition module 21 , a sample data acquisition module 22 , a model training module 23 and a boundary data recovery module 24 .

[0062] Wherein, the data to be labeled acquisition module 21 is configured to filter out a preset number of basic feature data, advanced feature data and user portraits from the database based on preset user grouping rules;

[0063] The sample data acquisition module 22 is configured to acquire the filtered basic feature data, advanced feature data, and type-marked sample data corresponding to the user portrait;

[0064] The model training module 23 is configured to input the sample data into a preset user grouping model to obtain a grouping res...

Embodiment 3

[0069] Embodiment 3 of the present application provides an electronic device, referring to Figure 7 , the electronic equipment includes: an input device 33, an output device 34, a memory 32 and one or more processors 31; the memory 32 is used to store one or more programs; when the one or more programs are described One or more processors 31 are executed, so that the one or more processors 31 implement the user grouping processing method provided in Embodiment 1 above. The electronic device provided above can be used to execute the method for optimizing the occupied space of the client provided in the first embodiment above, and has corresponding functions and beneficial effects.

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Abstract

The embodiment of the invention discloses a user grouping processing method and device. The method comprises the steps of screening a preset number of basic feature data, advanced feature data and user portraits from a database based on a preset user grouping rule; obtaining screened basic feature data, advanced feature data and sample data marked by types corresponding to the user portraits; inputting the sample data into a preset user grouping model to obtain a grouping result; and if the grouping result of the sample data is within a preset boundary threshold range, obtaining re-labeled data corresponding to the sample data, and inputting the re-labeled data into the user grouping model to train the user grouping model. Through the above technical means, the sample data with low recognition accuracy is scooped back and then labeled, the accuracy and comprehensiveness of the sample are ensured, and the stability and effectiveness of the user grouping model are ensured.

Description

technical field [0001] The embodiments of the present application relate to the technical field of data processing, and in particular, to a user grouping processing method and device. Background technique [0002] With the rapid development of big data technology, big data processing algorithms are becoming more and more important for user operations. User grouping based on big data algorithms is a relatively new direction in the field of live short video. In the actual user operation process, the operation department hopes to accurately group users, locate the needs of different users, and make differences according to the needs of different users. to maximize the overall benefit. [0003] User grouping, that is, labeling of user information, divides users with the same attributes into a group through attributes such as user historical behavior paths, behavioral characteristics, and preferences, and conducts subsequent analysis. Most of the existing user grouping methods ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q10/06G06N20/20
CPCG06Q30/0201G06Q30/0202G06Q10/067G06N20/20
Inventor 麦浩前
Owner BIGO TECH PTE LTD
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