Value prediction model input data generation method, device, equipment and medium

A prediction model and data input technology, applied in the field of big data, can solve the problem of inaccurate user value level and achieve the effect of improving accuracy

Active Publication Date: 2021-07-30
太平金融科技服务(上海)有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the traditional method, in the process of predicting the user's value level, the user's future value level is directly predicted based on the user's corresponding historical data. When the user's historical data is missing, the user predicted based on the user's historical data Inaccurate value level

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  • Value prediction model input data generation method, device, equipment and medium
  • Value prediction model input data generation method, device, equipment and medium
  • Value prediction model input data generation method, device, equipment and medium

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Embodiment Construction

[0059] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0060] The value prediction model input data generation method provided by this application can be applied to such as figure 1shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. The server 104 obtains the target historical business data corresponding to the target user from the terminal 102; from the target historical business data, extracts target feature values ​​corresponding to a plurality of preset target features; when there is a target feature that has not been extracted to the target feature value, ...

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Abstract

The present application relates to the technical field of big data, and in particular to a method, device, equipment and medium for generating input data of a value prediction model. The method includes: obtaining the target historical business data corresponding to the target user; extracting target feature values ​​respectively corresponding to a plurality of preset target features from the target historical business data; The target feature to the target feature value is used as the missing feature, and the similar user corresponding to the target user and the similarity between the target user and the similar user are obtained; the similar feature value corresponding to the missing feature is extracted from the similar business data corresponding to the similar user; according to The similarity of similar users and the similar feature value are calculated to obtain the missing feature value corresponding to the missing feature; the input data of the value prediction model is obtained according to the calculated missing feature value and the extracted target feature value. Adopting this method can improve the accuracy of model input data generation.

Description

technical field [0001] The present application relates to the technical field of big data, in particular to a method, device, equipment and medium for generating input data of a value prediction model. Background technique [0002] With the development of computer technology, traditional offline business is gradually transferred to online processing, making the amount of online data more and more huge. For companies, how to analyze and process huge online data to obtain effective data is becoming more and more important. [0003] For example, the company can analyze the online data and predict the value level of the user in the future time period according to the value level of the user in the historical time period, and then execute the corresponding level of business for different levels of users in the future time period activities to improve business execution efficiency. [0004] In the traditional method, in the process of predicting the user's value level, the user'...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0202G06Q30/0201G06F18/22
Inventor 刘志伟
Owner 太平金融科技服务(上海)有限公司
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