9 results about "Rule processing" patented technology

The application relates to a contract auditing rule processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: in response to the current contract content input into a large model, displaying a contract auditing result on a contract auditing page; the contract auditing result is an auditing result output by the large model after auditing the current input contract content according to the current contract auditing rule; in the case that the score information input into the contract auditing result meets a preset score condition, determining a target result quantity; the target result quantity is the number of target auditing results output by the large model in succession for different contract contents under the current contract auditing rule; the target auditing result is a contract auditing result whose score information meets the preset score condition; in the case that the target result quantity meets a preset quantity, archiving the current contract auditing rule. The method can improve the effectiveness of the contract auditing rule.

Examples of the present disclosure describe systems and methods for behavioral threat detection definition compilation. In an example, one or more sets of rule instructions may be packaged for distribution and / or use by a behavioral threat detection engine. As an example, a set of rule instructions is compiled into an intermediate language and assembled in to a compiled behavior rule binary. Event linking is performed, wherein other rules launched by the rule and / or events that launch the rule or are processed by the rule are identified, and such information may be stored accordingly. The behavior rule binary may be packaged with other rules associated with identifying a specific behavior. The packaged behavior rule is distributed to one or more computing devices for use with a behavioral threat detection engine. For example, the threat detection engine may execute the behavior rule using a rule virtual machine.

The application relates to the technical field of artificial intelligence, in particular to a strategy generation method and device, electronic equipment and a storage medium, which are used to improve the generation efficiency and accuracy of a risk control strategy. The method comprises the following steps: obtaining risk assessment data to be mined; the risk assessment data comprises at least one of the following: object feature data related to risk assessment of at least one object and environment influence data related to an external environment; a data mining model is constructed based on the risk assessment data, and a model prediction result is obtained; the data mining model is used to identify potential laws related to a risk control strategy from the risk assessment data to perform risk assessment; the model prediction result is subjected to rule processing to generate an executable rule set; the rule set comprises at least one rule for risk assessment; and a risk control strategy for the at least one object is generated according to the rule set.

This application provides an ACL rule processing method, apparatus, electronic device, and storage medium. The method includes: monitoring the hardware resource usage of rule sets; when the hardware resource usage of rule sets indicates insufficient hardware resources, obtaining the rule content of each rule set; determining the content similarity between rule sets based on their rule content; merging rule sets based on their content similarity, and removing merged rule sets to release hardware resources. The method provided above, by merging rule sets when switch hardware resources are insufficient, releases hardware resources occupied by duplicate rule sets, avoids wasting switch hardware resources, and improves hardware resource utilization.

This application relates to a waybill information processing method, computer equipment, readable storage medium, and program product. By inputting logistics waybill information into a rule engine network, the rule engine network performs condition matching based on the logistics waybill information. According to the target matching conditions of the logistics waybill information, it outputs target logistics settlement rules, and processes the logistics waybill information according to these target settlement rules. Compared to the traditional method where each e-commerce platform processes the information individually, this solution uses a rule engine network to perform rule matching on logistics waybill information, obtains the corresponding settlement rules, and performs logistics settlement based on these rules, thus improving the efficiency of logistics waybill information processing.

The application relates to a rule-based middle platform sharing method, which comprises the following steps: when the order of a settled-in merchant is completed, if a sharing period is met, a sharing event is pushed to a sharing middle platform by a system, the middle platform matches order information with trigger conditions of all sharing rules, if the matching is successful, corresponding sharing rules are triggered, and the matched successful sharing rules are processed; pre-sharing is performed, the system obtains the roles and specific merchants of sharing parties from the order information; the pre-sharing total amount of each sharing party is obtained by adding the amount of money that each sharing party should obtain; whether the pre-sharing amount of the sharing party meets a settlement period is judged, if yes, automatic settlement is judged, and the settlement is completed; the application realizes that the order of a merchant can automatically select different sharing rules according to different sharing parties, automatically perform sharing, flexibly set a sharing mode, and automatically perform re-sharing of a refund process, reduces manual operation, and greatly improves sharing efficiency.

The invention provides an electronic product man-machine interaction method and system, and the method comprises the steps: recognizing an operation target and an expected action of a control instruction; acquiring environment information related to the control instruction; according to the operation target, the expected action and the environment information of the control instruction, identifying whether a conflict exists between the control instruction and the scene task or the automation rule; when the conflict is identified, analyzing the association between the intention of the control instruction and the overall target of the scene task; obtaining the identity of a person who sends the control instruction and historical preference information of the person who sends the control instruction; when the conflict cannot be solved through preset logic, one or more alternative schemes are generated, and the alternative schemes comprise equipment use suggestions, space guidance suggestions, parameter adjustment suggestions and rule processing suggestions; and an alternative scheme is provided for a control instruction issuing person. According to the method, the multi-source instruction conflict in the smart home environment can be effectively identified and analyzed, the personalized alternative scheme is generated, and the user interaction experience is improved.

The application discloses a business system security query method and system based on a large language model, and particularly relates to the technical field of electric digital data processing, and comprises the following steps: a safe query intermediate language based on JSON Schema is constructed as an intermediary presentation layer, a natural language query is fused with a dynamic permission context to generate an SQIL representation through a large language model, non-intrusive security rewriting and checking are performed through an ABAC permission engine, a parameterized SQL execution is compiled after a custom business operator is parsed and integrated, and full-link auditing is established; the application solves the contradiction between safety and flexibility of a Text2SQL and MCP scheme, realizes dynamic fine-grained data permission control and complex business rule processing under an open natural language query, effectively prevents unauthorized access, and meanwhile maintains the freedom of query semantics and system maintainability.