Business index determination method, electronic equipment, storage medium and program product

By using the demand identification large model and target business prediction network model, automatically identifying user needs and querying business data, the problem of insufficient flexibility and accuracy of traditional indicator calculation methods is solved, and faster and more accurate business indicator determination is achieved.

CN119646052APending Publication Date: 2025-03-18AGRICULTURAL BANK OF CHINA
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Patent Information

Application Number
CN202411719814.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-27
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

Traditional mobile banking business indicator calculation methods rely on predefined rules, resulting in insufficient flexibility and accuracy of indicators, making it difficult to adapt to rapidly changing business needs.

Method used

By obtaining user demand information, using the demand identification model to identify key information and business indicator types to be determined, querying business data, inputting data into the target business prediction network model, and determining business indicators based on the output.

Benefits of technology

Improves the accuracy and flexibility of business metrics, can quickly adapt to changes in business demands, and reduces the time and error rate of manually updating templates and rules.

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Abstract

The invention discloses a business index determination method, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring user demand information, identifying the user demand information based on a demand identification large model, determining demand key information, and determining a to-be-determined business index type; querying the business data according to the demand key information, and determining target business data; and inputting the target service data into the target service prediction network model corresponding to the to-be-determined service index type, and determining the service index according to the output of the target service prediction network model, thereby solving the problem of inaccurate service index determination, carrying out demand identification on the user demand information through the demand identification large model, and improving the user experience. The business data are queried according to the demand key information, key data are extracted, computing resources are saved, and the accuracy of a result is improved; proper network models are selected for different types of service indexes for prediction, targeted processing of service data can be realized, and the result is more accurate.
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