User value prediction method and training method of user value prediction model

A prediction model and prediction method technology, applied in the field of data processing, can solve the problems of loss of high-value users, failure to achieve advance prediction, failure to discover potential customers in time, etc., and achieve the effect of improving accuracy, accuracy and timeliness

Pending Publication Date: 2020-06-19
NETEASE HANGZHOU NETWORK
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Problems solved by technology

[0004] However, this solution mainly models the characteristics of high-value users, so high-value users may be lost before their high-value

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  • User value prediction method and training method of user value prediction model
  • User value prediction method and training method of user value prediction model
  • User value prediction method and training method of user value prediction model

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[0072] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0073] Similar reference numerals and letters indicate similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0074] figure 1 It is a schematic diagram of an application scenario of the method for predicting user value provided by an embodiment of the present application. Such as figure 1 As shown, the application scenario includes the server 110. The server 110 may be a server, a server cluster, or a cloud computing center. The server 110 may obtain locally stored behavior characteristic data of the user to be predicted in the new addition period, and use the user value prediction method provided in the embodiment of the present application to predict the future value of the user.

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Abstract

The invention provides a user value prediction method and a training method of a user value prediction model. The prediction method comprises the steps of obtaining behavior characteristic data of a to-be-predicted user in a newly added period; taking the behavior characteristic data as the input of the multi-class prediction model, and obtaining the value prediction result of the multi-class prediction model; and taking the value prediction result of the multi-class prediction model as the input of the classification model, and obtaining the future value of the to-be-predicted user output bythe classification model. According to the technical scheme provided by the embodiment of the invention, the potential high-value user can be mined in time before the user becomes the high-value user,and the accuracy and timeliness of user value prediction are improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a user value prediction method and device, a user value prediction model training method and device, electronic equipment, and a computer-readable storage medium. Background technique [0002] With the rapid development of computer technology, online consumer products such as online shopping and online games have developed rapidly, and users' consumption behavior on the Internet has also shown a trend of rapid growth. For a product, in order to gain user approval, user behavior analysis is one of the important means, especially for those high-value users who can provide profit for product developers. By providing high-value users with professional operation services, It can improve the retention rate of high-value users. [0003] The existing prediction scheme for high-value users is based on the basic data of high-value users and recharge payment data to m...

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0202G06Q30/0201
Inventor 陈麒旦
Owner NETEASE HANGZHOU NETWORK
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