User financial condition prediction method and device, medium and computer program product

Abstract

The invention discloses a user financial condition prediction method, and the method comprises the steps: obtaining the financial data of each preset data type corresponding to a target user, and generating a target financial feature corresponding to each piece of financial data; on the basis of a federated financial prediction model and each target financial feature, performing financial condition prediction on the target user by combining local financial data corresponding to the target user in the second equipment, and obtaining an initial financial condition prediction result; performing model interpretation aiming at a federated financial prediction model on the initial financial condition prediction result to evaluate the tampering degree of each piece of financial data, and obtaining a tampering degree evaluation result; and on the basis of the tampering degree evaluation result, the federated financial prediction model and each target financial feature, performing secondary financial condition prediction on the target user by combining the local financial data in the second equipment to obtain a target financial condition prediction result. According to the technical scheme, the problem of low accuracy of financial condition analysis is solved.

Description

technical field [0001] The technical field of artificial intelligence involved in this application, in particular, relates to a method, device, medium and computer program product for predicting a user's financial status. Background technique [0002] With the continuous development of computer software, artificial intelligence, and big data cloud service applications, the application of artificial intelligence technology is becoming more and more extensive. Financial operations are the lifeblood of an enterprise's development and dominate the development trend of the enterprise. At present, financial staff usually carry out statistical calculations on the financial status of enterprise users, but because the analysis of financial status is often associated with the subjectivity of financial staff, the results of financial analysis have large errors, and financial staff can also be in the process of When financial status is analyzed, financial data is tampered with, which w...

AI Technical Summary

Problems solved by technology

[0003] The main purpose of this application is to provide a method, device, medium, and computer program product for predicting a user's financial status, aiming to solve the technical problem of low accuracy in financial status analysis in the prior art

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