User grouping processing method and device based on machine learning and electronic terminal

A technology of machine learning and processing methods, applied in the field of data processing, can solve the problems of low user grouping accuracy, time-consuming and labor-consuming user grouping, etc., and achieve the effect of reducing data redundancy, improving low accuracy and efficiency

Active Publication Date: 2019-06-14
PING AN TECH (SHENZHEN) CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiments of the present invention provide a machine learning-based user grouping processing method, device, and electronic terminal to solve the problems of time-consuming and labor-intensive user grouping and low accuracy of user grouping in the prior art

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  • User grouping processing method and device based on machine learning and electronic terminal
  • User grouping processing method and device based on machine learning and electronic terminal
  • User grouping processing method and device based on machine learning and electronic terminal

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Embodiment Construction

[0059] In order to better understand the technical solutions of the present invention, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0060] It should be clear that the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0061] Terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. As used in the embodiments of the present invention and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise.

[0062] It should be understood that the term "an...

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Abstract

The embodiment of the invention provides a user grouping processing method and device based on machine learning and an electronic terminal, and relates to the technical field of data processing. According to the embodiment of the invention, a plurality of desensitization user data after desensitization processing are acquired; then, a decision tree model in a Spark big data operation platform is used for carrying out classification processing on the desensitization user data, and a classification processing result is obtained, so that, based on the decision path of the decision tree and the classification processing result, the class group information of each node in the decision tree model is counted layer by layer; and then, generating a user data distribution tree according to the decision path of the decision tree and the class group information of each node in each decision tree model, and storing the user data distribution tree. Therefore, according to the technical scheme provided by the embodiment of the invention, the problems of high labor cost and low user grouping accuracy of a manual user portrait grouping mode in the prior art can be solved.

Description

【Technical field】 [0001] The present invention relates to the technical field of data processing, in particular to a machine learning-based user grouping processing method, device and electronic terminal. 【Background technique】 [0002] With the rapid development of the information age, a large amount of user information is generated every day. Through effective analysis of these user information, each specific information of the user is abstracted into tags, and these tags are used to concretize the user image to construct a user portrait. [0003] The traditional generation of user portraits is mainly to perform feature statistics on different users according to certain rules, and then manually group them. This traditional way of generating user portraits is more suitable for grouping user portraits for a small number of user information. In a big data application environment, user information includes multiple dimensions, complex information, and a large amount of informa...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06F16/248G06F16/28G06F16/22
CPCY02D10/00
Inventor 孙闳绅金戈徐亮
Owner PING AN TECH (SHENZHEN) CO LTD
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