Customer group portrait generation method and device, electronic equipment and storage medium
A portrait and customer group technology, applied in the field of data analysis, can solve the problems of not being able to well describe the characteristics of subdivided customer groups, and not being able to adapt to customer groups well.
Active Publication Date: 2022-03-04
深圳索信达数据技术有限公司
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Problems solved by technology
[0003] At present, the screening of subdivided customer groups and the production of customer group portraits mostly rely on the manual operation of data analysis. Although some platforms can support the screening of customer groups and the display of customer portraits, the display of customer group portraits adopts predefined dimensions and cannot It fits the selected customer group very well, so it cannot describe the characteristics of the selected customer segment well
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[0028] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.
[0029] The terms "first", "second" and the like in the specification and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method...
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The embodiment of the invention discloses a customer group portrait generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a first portrait data set which comprises portrait customer group data as a positive sample and non-portrait customer group data as a negative sample, and the sample scales of the portrait customer group data and the non-portrait customer group data are the same; after a first tree model is used for carrying out dichotomy data modeling on the first portrait data set, inter-customer-group difference features are determined based on feature variables in the first tree model, and the inter-customer-group difference features are added to a customer group portrait display field library to serve as inter-customer-group difference fields; obtaining a second portrait data set, wherein the second portrait data set is obtained by performing unsupervised clustering modeling on the portrait customer group data; after performing data modeling on the second portrait data set by using a second tree model, determining difference features in the customer group based on feature variables in the second tree model, and adding the difference features to a customer group portrait display field library as difference fields in the customer group; and generating and displaying the customer group portrait according to the target field in the customer group portrait field library.
Description
technical field [0001] The present invention relates to the technical field of data analysis, in particular to a method, device, electronic equipment and storage medium for generating portraits of customer groups. Background technique [0002] In recent years, with the rapid development of knowledge graphs and big data, portrait technology has received widespread attention. In order to provide better services in various industries, it is often necessary to subdivide customer groups, and conduct customer group portrait analysis for the selected subdivided customer groups to accurately understand customer preferences and needs. [0003] At present, the screening of subdivided customer groups and the production of customer group portraits mostly rely on the manual operation of data analysis. Although some platforms can support the screening of customer groups and the display of customer portraits, the display of customer group portraits adopts predefined dimensions and cannot ...
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IPC IPC(8): G06K9/62G06F16/335
CPCG06F16/9535G06F16/906G06F18/23G06F18/24323
Inventor 龚骏华
Owner 深圳索信达数据技术有限公司