Patent ID: 11934976
Assignee: ENTERLAB INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. A device, comprising:
a memory for storing one or more instructions; and
a processor for executing the one or more instructions stored in the memory,
wherein the processor performs a method comprising:
register a specialist;
obtain specialist information of the registered specialist;
calculate career information of the specialist based on the obtained specialist information;
matching a project corresponding to the specialist based on career information of the specialist,
wherein the matching of a project comprises:
obtaining project information;
storing the project information and the specialist in a first blockchain and a second blockchain,
storing, in the first blockchain, information obtained by hashing a node on the second blockchain in which the project information is stored,
storing, in the second blockchain, information obtained by hashing a node on the first blockchain in which the project information is stored, thereby the first blockchain and the second blockchain are linked together,
doubly verifying the project information using the first blockchain and the second blockchain,
extracting career information required for executing the project from the obtained project information;
matching the specialist comprising the extracted career information;
obtaining project data calculated according to an execution result of the project when the matched project is executed by the specialist; and
updating, by the blockchain holding server, the career information of the specialist based on the project data for increasing an accuracy of a next project matching and for helping a work of specialists to use some of the generated project data in a next project,
wherein the calculating of career information comprises:
classifying the specialist information into structured information and unstructured information;
evaluating the structured information and the unstructured information; and
calculating career information of the specialist based on the evaluation result,
wherein the classifying of the specialist information comprises:
classifying specialist information corresponding to history information stored in a database into structured information based on the previously stored database; and
classifying the specialist information corresponding to history information not stored in the database and information on a specialty field not stored in the database into the unstructured information,
wherein the evaluating of the structured information comprises:
evaluating the structured information based on evaluation information stored in the database in a blockchain; and
estimating career information on the specialty field of the specialist from the unstructured information using a model learned to derive an association between the history information and specialty of each specialty field.