Policy information management method and device, server and storage medium

Abstract

The invention provides a policy information management method and device, a server and a storage medium. The policy information management method comprises the following steps: determining a policy table automatically generated by responding to input basic information; detecting whether target action information associated with the service request condition information in the strategy table is to-be-analyzed action information or not; if the target action information is to-be-analyzed action information, determining action information used as a request result of a service request carrying service request condition information from at least one piece of preset action information corresponding to the service request condition information; and carrying out statistics on user feedback information of request results of the plurality of service requests, determining optimal action information of the service request condition information from the at least one piece of action information according to the user feedback information of each request result, and updating target action information in the strategy table into the optimal action information. On the basis of reducing the labor cost, the decision table deployment and optimization efficiency can be improved.

Description

technical field [0001] The present invention relates to the technical field of information management, and more specifically, relates to a policy information management method, device, server and storage medium. Background technique [0002] With the continuous development of enterprises, enterprise applications provide more and more policy information. Good policy information can help enterprises make correct business decisions and provide a basis for long-term business stability. [0003] The rule engine is a component embedded in the application, which separates the policy information from the application code, accepts conditional input, interprets the policy information, and makes business decisions corresponding to the conditions based on the policy information. At present, the staff collects and analyzes historical business data of users, and formulates policy information manually based on experience, and then uses the semantic module predefined by the rule engine to m...

AI Technical Summary

Problems solved by technology

[0004]This strategy information generation method relies on manual operation. If you want to get the optimal strategy information, you often need to iterate the strategy information multiple times, and the efficiency of strategy information optimization is low. high labor cost

Moreover, it is necessary to manually write a large amount of policy information to generate a decision table. Especially when there are new conditions, it is necessary to manually write a large number of original conditions to modify the decision table. Not only the labor cost is high, but also the deployment efficiency of the decision table is high. Low

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