7 results about "Business case" patented technology

The invention discloses a decision strategy rule evaluation method, system and device and a medium, and the method comprises the steps: obtaining a to-be-verified decision strategy rule; executing a decision on the decision strategy rule through at least two different verification modes to obtain a respective decision result set in each verification mode, wherein the at least two different verification modes comprise an offline simulation verification mode, an online shadow verification mode and a real-time small-flow experiment verification mode; performing associated storage and cross comparison analysis on decision results generated by different verification modes based on the unified identifier of the same business case to obtain a cross verification conclusion; and according to the cross validation conclusion and the actual business effect index in the at least one validation mode, evaluating the capability and effect of the decision strategy rule. According to the method, the comprehensiveness, the accuracy and the credibility of decision strategy rule capability and effect evaluation are improved, and the possibility that normal users are accidentally injured or risky users are released after the rules are completely online is effectively reduced.

This invention discloses a method and apparatus for generating and recognizing human phenotype ontology terminology, applied in the field of data processing technology. The method includes: acquiring a business case database; performing word segmentation on each case in the business case database to obtain an initial phenotype vocabulary; matching the initial phenotype vocabulary with terms in a medical terminology database to obtain a phenotype lexicon; and constructing a human phenotype ontology terminology recognition model based on the phenotype lexicon and the human phenotype ontology. The human phenotype ontology terminology recognition model is a model for recognizing the correlation between words in the phenotype lexicon and the human phenotype ontology. Compared with the technical solution of manually selecting words from cases and then matching them with the human phenotype ontology, this invention achieves intelligent word segmentation processing of cases and intelligent matching processing of case terms with the human phenotype ontology, improving the accuracy and efficiency of the matching.

The invention provides a business process simulation method and device, equipment and a storage medium, and the method comprises the steps: receiving a simulation condition sent by a user side, and obtaining the log data of a business process; the simulation conditions are input into a preset embedded model for vectorization processing, and simulation condition codes are obtained; screening case feature vectors of one or more target business cases matched with the simulation condition codes from the reference case knowledge base according to a preset similarity threshold value and a preset similarity calculation method; according to the simulation condition, selecting a corresponding simulation cue word template from a preset cue word template library; inputting the case feature vector of each target business case and the simulation cue word template into a preset large language model for structured processing to obtain simulation structure data; and modifying the log data of the business process according to the simulation structure data to obtain a final simulation result corresponding to the business process, so that the deviation between the final simulation result and an actual result is reduced.

A matching system (1) for matching business cases is provided with: a user device (500) operated by a user; and a computing device (100) configured to access a database in which business cases are registered and to publish the business cases to users, the user device (500) including a first user device operated by a first user belonging to a first group and a second user device operated by a second user, the computing device (100) sets the publication range of the business case provided by the second user on the basis of publication information indicating the publication range of the business case, and the first user device transmits, to the computing device (100), restriction information that restricts the publication of the business case to the first group on the basis of an operation by the first user, and transmits, to the computing device (100), restriction information that restricts the publication of the business case to the second group. The computing device (100) restricts the disclosure of the business case provided by the second user to the first group in accordance with the restriction information regardless of the disclosure range set on the basis of the disclosure information.

The application relates to a government affair material intelligent examination method based on a knowledge graph and a multi-modal large model, and belongs to the technical field of artificial intelligence and government affair informatization processing. The method comprises the following steps: receiving a material file submitted by a user for a target business case; based on the target business case, querying a pre-constructed government service field knowledge graph to obtain an examination rule set associated with the target business case; wherein each examination rule contained in the examination rule set defines the verification logic of one or more examination fields; for each examination rule in the examination rule set, a multi-modal information processing model is called to extract the field information corresponding to the examination fields involved in the examination rule from the material file; according to the verification logic defined by the examination rule, the extracted field information is verified; and an examination conclusion based on the verification results of all the examination rules is output. The application has the effect of improving the examination efficiency and the automatic intelligent level.

To streamline the creation of the transportation equipment schedule. [Solution] The control unit receives transportation equipment information. The control unit receives labor information. The control unit receives business case information. The business case information includes the date and time of package collection and the date and time of package delivery. The control unit receives input of transportation equipment to collect and deliver packages based on the transportation equipment information, and input of the person in charge of transportation for the transportation equipment based on the labor information. The control unit generates a transportation equipment distribution table based on the input collection date and time, the input delivery date and time, the input transportation equipment, and the input person in charge of transportation. The control unit outputs a screen including the transportation equipment distribution table.

The invention belongs to the technical field of intelligent decision making, and relates to a service recommendation method based on artificial intelligence and related equipment thereof. Performing multi-dimensional information data expansion on the target customer; performing service data feature extraction; and inputting the feature representation value into a pre-constructed business case storage library, and performing business case screening. Business case screening is preposed in advance, after a multi-dimensional business data feature representation value corresponding to a target customer is obtained, business recommendation evaluation is not directly carried out, but a preposed business case screening mode is utilized to assist a target business providing end to carry out business case screening on the target customer, so that the business recommendation evaluation efficiency is improved, and the business recommendation evaluation efficiency is improved. In particular, in a financial product business recommendation scene with a large number of customers, multi-insurance product combined recommendation for the customers is often involved, and the business recommendation efficiency can be improved to a certain extent through the recommendation method.