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.
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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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