Personnel assessment system and personnel assessment program

Abstract

To provide a personnel assessment system and a personnel assessment program capable of evaluating aptitude for a duty or job classification from a business curriculum vitae using artificial intelligence.SOLUTION: A personnel assessment system includes: career history information extraction means 12 for extracting career history information from a document containing career history; assessment request means 10 for inputting the extracted career history information into artificial intelligence 3 and requesting an aptitude assessment for a predetermined duty or job classification; and assessment output means 15 for outputting the aptitude assessment generated by the artificial intelligence 3.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a human resource evaluation system and a human resource evaluation program that evaluates aptitude for a job or occupation based on work history. [Background technology]

[0002] There are various known systems for registering and searching job and employment information for employers and job seekers, which have job seeker information registered from job seeker terminals and employer information registered from employer terminals, and which can promote and introduce job and employment information by allowing job seeker information to be searched from employer terminals and employer information to be searched from job seeker terminals (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2002-269220 Summary of the Invention [Problem to be solved by the invention]

[0004] The system described in Patent Document 1 is suitable for searching for desired information from a large amount of information on employers and job seekers, but requires employers and job seekers to input information from their own terminals. Furthermore, conventionally, no system was known that could evaluate the aptitude of a specific individual, such as an employee in a company, for a given job, so there was a problem in that the evaluation of a person's aptitude for a job depended on the knowledge and experience of the person making the evaluation.

[0005] Therefore, the present invention provides a human resource evaluation system and a human resource evaluation program that can evaluate suitability for a job or occupation based on a resume using artificial intelligence. [Means for solving the problem]

[0006] In order to solve the above-mentioned problems, the present invention provides a human resources evaluation system having a work history information extraction means for extracting work history information from a document describing work history, an evaluation request means for inputting the extracted work history information into artificial intelligence to request an aptitude evaluation for a specified job or job type, and an evaluation output means for outputting the aptitude evaluation generated by the artificial intelligence.

[0007] In addition, the human resource evaluation system of the present invention is equipped with a requirement setting means for setting human resource requirements including one or more skills and / or qualifications required for the job or occupation, and the evaluation request means inputs the human resource requirements into the artificial intelligence to request an aptitude evaluation for the human resource requirements.

[0008] In addition, the human resource evaluation system of the present invention is such that the work history information extraction means includes a means for acquiring the working conditions of the human resource, including salary or working style, and the evaluation request means inputs the working conditions into the artificial intelligence and requests the aptitude evaluation based on the work history information and the working conditions.

[0009] In addition, the human resources evaluation system of the present invention comprises: a storage means for storing business skill information including one or more skills and / or qualifications required of human resources for each job or job type; an information collection means for collecting the business skill information via a network and storing it in the storage means; a work history information extraction means for extracting work history information from a document describing work history; an evaluation request means for inputting the extracted work history information into an artificial intelligence to request a first aptitude rating for a specified job or job type; an evaluation generation means for generating a second aptitude rating for the specified job or job type based on the extracted work history information and business skill information; and an evaluation output means for combining the first aptitude rating generated by the artificial intelligence and the second aptitude rating generated by the evaluation generation means in a specified ratio to generate an aptitude rating for the specified job or job type, and outputting the aptitude rating.

[0010] In addition, the human resource evaluation system of the present invention includes a requirement setting means for setting human resource requirements including one or more skills and / or qualifications required for the job or occupation, the evaluation request means inputs the human resource requirements into the artificial intelligence to request an aptitude evaluation for the human resource requirements, and the evaluation generation means generates an aptitude evaluation for the human resource requirements.

[0011] In addition, the human resource evaluation system of the present invention is such that the work history information extraction means includes a means for acquiring the working conditions of the human resource, including salary or working style, the evaluation request means inputs the working conditions into the artificial intelligence and obtains the aptitude evaluation based on the work history information and the working conditions, and the evaluation generation means generates the aptitude evaluation based on the work history information and the working conditions.

[0012] In addition, the human resource evaluation system of the present invention comprises a storage means for storing business skill information including one or more skills and / or qualifications required of human resources for each job or job type, an information collection means for collecting the business skill information via a network and storing it in the storage means, a work history information extraction means for extracting work history information from a document describing the work history, an evaluation generation means for generating an aptitude evaluation for a specified job or job type based on the extracted work history information and business skill information, and an evaluation output means for outputting the aptitude evaluation generated by the evaluation generation means.

[0013] In addition, the human resource evaluation system of the present invention is equipped with a requirement setting means for setting human resource requirements including one or more skills and / or qualifications required for the job or occupation, and the evaluation generation means generates an aptitude evaluation for the human resource requirements.

[0014] In addition, the human resource evaluation system of the present invention is such that the work history information extraction means includes a means for acquiring the working conditions of the human resource, including salary or working style, and the evaluation generation means generates the aptitude evaluation based on the work history information and the working conditions.

[0015] In the personnel evaluation system of the present invention, the requirement setting means comprises weight setting means for setting a weight for each of the personnel requirements.

[0016] In addition, in the human resource evaluation system of the present invention, the evaluation output means is equipped with a means for calculating and displaying the aptitude for the job or job type as a score evaluation or a scale evaluation based on the aptitude evaluation generated by the artificial intelligence or the evaluation generation means and the weighting for each human resource requirement.

[0017] In addition, in the human resource evaluation system of the present invention, the artificial intelligence is a chatbot equipped with a large-scale language model.

[0018] The present invention also provides a human resources evaluation program that causes a computer to function as: requirement setting means for setting human resources requirements including one or more skills and / or qualifications required for a specified job or job type; work history information extraction means for extracting work history information from a document describing work history; evaluation request means for inputting the human resources requirements set for the job or job type for which an evaluation is sought and the extracted work history information into artificial intelligence to request an aptitude evaluation for the job or job type and / or the human resources requirements; and evaluation output means for outputting an aptitude evaluation for the job or job type based on the aptitude evaluation generated by the artificial intelligence. [Effects of the Invention]

[0019] The human resource evaluation system of the present invention has a work history information extraction means for extracting work history information from a document that describes work history, an evaluation request means for inputting the extracted work history information into artificial intelligence to request an aptitude evaluation for a specified job or job type, and an evaluation output means for outputting the aptitude evaluation generated by the artificial intelligence, thereby having the effect of being able to evaluate aptitude for a job or job type without being influenced by the knowledge or experience of the person performing the evaluation, such as a human resources officer.

[0020] In addition, the human resource evaluation system of the present invention has a requirement setting means for setting human resource requirements including one or more skills and / or qualifications required for the job or job type, and the evaluation request means inputs the human resource requirements into the artificial intelligence and requests an aptitude evaluation for the human resource requirements, thereby having the effect of enabling aptitude evaluation for various jobs and job types.

[0021] Furthermore, the human resource evaluation system of the present invention has the effect that the work history information extraction means is equipped with a means for acquiring the working conditions of the human resource, including salary or working style, and the evaluation request means inputs the working conditions into the artificial intelligence and requests the aptitude evaluation based on the work history information and the working conditions, thereby making it possible to reflect working conditions such as salary and working style in the aptitude evaluation for a task or job type.

[0022] and evaluation output means for combining the first aptitude evaluation generated by the artificial intelligence and the second aptitude evaluation generated by the evaluation generation means in a predetermined ratio to generate an aptitude evaluation for the predetermined job or job type, and outputting the aptitude evaluation. This enables more accurate evaluation by combining the first aptitude evaluation generated by the artificial intelligence with the second aptitude evaluation based on the information stored in the storage means, and has the effect of enabling evaluation of aptitude for a job or job type without being influenced by the knowledge or experience of the person conducting the evaluation, such as a human resources officer.

[0023] In addition, the human resource evaluation system of the present invention has a storage means for storing business skill information including one or more skills and / or qualifications required of human resources for each job or job type, an information collection means for collecting the business skill information via a network and storing it in the storage means, a work history information extraction means for extracting work history information from a document describing the work history, an evaluation generation means for generating an aptitude rating for a specified job or job type based on the extracted work history information and business skill information, and an evaluation output means for outputting the aptitude rating generated by the evaluation generation means, thereby having the effect of being able to evaluate aptitude for a job or job type without being influenced by the knowledge or experience of the person performing the evaluation, such as a human resources officer.

[0024] Furthermore, the human resource evaluation system of the present invention has the advantage that the requirement setting means is equipped with a weighting setting means for setting weights for each of the human resource requirements, thereby enabling aptitude evaluation to be performed in accordance with the characteristics of each job or occupation.

[0025] Furthermore, the human resource evaluation system of the present invention has an effect in that the evaluation output means is equipped with a means for calculating and displaying the aptitude for the job or job type as a score or scale based on the aptitude evaluation generated by the artificial intelligence or the evaluation generation means and the weighting for each human resource requirement, thereby making it possible to objectively show the aptitude evaluation for the job or job type as a score or scale.

[0026] Furthermore, in the human resource evaluation system of the present invention, since the artificial intelligence is a chatbot equipped with a large-scale language model, there is no need to build an artificial intelligence separately to evaluate aptitude for a task or job type, which has the effect of reducing costs.

[0027] Furthermore, the human resource evaluation program of the present invention has a computer function as: requirement setting means for setting human resource requirements including one or more skills and / or qualifications required for a specified job or job type; work history information extraction means for extracting work history information from a document describing the work history; evaluation request means for inputting the human resource requirements set for the job or job type for which evaluation is sought and the extracted work history information into artificial intelligence to request an aptitude evaluation for the job or job type and / or the human resource requirements; and evaluation output means for outputting an aptitude evaluation for the job or job type based on the aptitude evaluation generated by the artificial intelligence, thereby having the effect of enabling evaluation of aptitude for a job or job type without being influenced by the knowledge or experience of the person performing the evaluation, such as a human resources officer. [Brief explanation of the drawings]

[0028] [Figure 1] 1 is a configuration diagram showing an embodiment of a human resource evaluation system of the present invention. [Figure 2] 10 is a flowchart showing the flow of aptitude evaluation according to one embodiment of the present invention. [Figure 3] FIG. 10 is a configuration diagram showing another embodiment of the human resource evaluation system of the present invention. [Figure 4] FIG. 10 is a configuration diagram showing another embodiment of the human resource evaluation system of the present invention. [Figure 5] FIG. 2 is a diagram showing an example of an operation screen of the human resource evaluation system of the present invention. [Figure 6] FIG. 10 is a diagram showing an example of a human resource requirement setting screen according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0029] The human resource evaluation system 1 of the present invention comprises a work history information extraction means 12 that extracts work history information from a document that describes work history, an evaluation request means 10 that inputs the extracted work history information into an artificial intelligence 3 and requests an aptitude evaluation for a specified job or job type, and an evaluation output means 15 that outputs the aptitude evaluation generated by the artificial intelligence 3.

[0030] System engineers require a high level of expertise, and with the recent labor shortage, it has become difficult to secure the necessary personnel. Furthermore, it is inefficient for human resources personnel and recruiters in the human resources department of a company to check each person's suitability for a task or job type based on their resume. The human resources evaluation system 1 of the present invention provides indicators that are useful for human resources personnel and recruiters at systems companies, for example, to determine the suitability of personnel. The human resources evaluation system 1 of the present invention can evaluate the suitability of personnel for various job types and tasks, not just for system engineers. [Example]

[0031] 1 is a block diagram showing an example of a human resource evaluation system according to the present invention. An embodiment of the present invention will be described based on the illustrated example.

[0032] The evaluation system 1 is composed of a computer or server connected to a network 4 such as the Internet, and is equipped with a means for evaluating the suitability of personnel for a job or occupation based on a request from a user terminal 2 installed in a company's human resources department, etc.

[0033] The evaluation system 1 is composed of an evaluation request means 10 that inputs work history information into artificial intelligence 3 and requests an aptitude evaluation for a specified job or job type, a requirement setting means 11 that sets human resource requirements including one or more skills and / or qualifications required for the job or job type, a work history information extraction means 12 that extracts work history information from a document containing the work history, an evaluation output means 15 that outputs the aptitude evaluation generated by the artificial intelligence 3, and a storage means 16 that stores the set human resource requirements, user information, etc.

[0034] The user terminal 2 is a terminal that can be connected to a network 4 such as the Internet, and can be, for example, a personal computer or a tablet terminal. A user in charge of human resources or recruitment within a company can access the evaluation system 1 from the user terminal 2 and set personnel requirements, including one or more skills or qualifications required for the job or job type to be evaluated. The user can also send a document (e.g., a resume) describing the work history of an employee or job seeker to be evaluated from the user terminal 2 to the evaluation system 1, and request an evaluation of the employee's or job seeker's suitability for the job or job type.

[0035] In this embodiment, the artificial intelligence is an AI chatbot 3 equipped with a large-scale language model. The AI ​​chatbot 3 is connected to the Internet 4 and periodically obtains information by crawling from various websites and other information sources. When a question is input as text, the AI ​​chatbot 3 is trained to create an answer corresponding to the question. ChatGPT, for example, can be used for the AI ​​chatbot 3. The evaluation system 1 may also be configured to include artificial intelligence with a large-scale language model.

[0036] As shown in FIG. 4, in the evaluation system 1, the requirement setting means 11 includes a weight setting means for setting a weight for each human resource requirement. The requirement setting means 11 is configured to allow a user to set, via the user terminal 2, essential conditions such as skills and qualifications required for the performance of one or more tasks for each case of a predetermined task or job type. The requirement setting means 11 is also configured to allow a user to set, via the user terminal 2 as needed, preferable conditions such as skills and qualifications that are not essential for the performance of the task but are preferable to have. The requirement setting means 11 may be configured to set essential conditions such as skills and qualifications required for the performance of tasks in advance for general job types and tasks, and allow the user to modify the essential conditions via the user terminal 2 as needed.

[0037] The requirement setting means 11 is configured so that the user can set the ratio of essential conditions to acceptable conditions using a slide bar as a weighting for each human resource requirement used in evaluating the aptitude of human resources from the user terminal 2. The requirement setting means 11 can set the weighting of essential conditions and acceptable conditions, for example, 80 essential conditions to 20 acceptable conditions, by moving the slide bar left and right. Note that the requirement setting means 11 is not limited to the configuration of the embodiment, and may be configured so that the importance can be set for each item of essential conditions and acceptable conditions and weighting can be set.

[0038] The employment history information extraction means 12 has a function of extracting employment history information necessary for evaluation from the resume of an employee, job seeker, or other person for whom an aptitude evaluation of human resources is to be performed. The resume is preferably prepared in a computer-readable format, but may also be a handwritten resume converted into character data using OCR (Optical Character Recognition). Furthermore, the resume may be prepared in any format as long as it contains the work history and qualifications of the person being evaluated. As shown in FIG. 4, the employment history information extraction means 12 is configured to extract the employment history information necessary for evaluation from the resume by the user dragging and dropping the electronic resume file into a predetermined position on the user terminal 2.

[0039] The evaluation request means 10 is configured to input the work history information extracted by the work history information extraction means 12 and the human resource requirements set by the requirement setting means 11 into the AI ​​chatbot 3 and request an aptitude evaluation for the human resource requirements. In this embodiment, the evaluation request means 10 requests the AI ​​chatbot 3 to generate a graded evaluation such as "excellent, good, fair, unacceptable" as an aptitude evaluation for each human resource requirement. Note that for jobs with simple human resource requirements, the evaluation request means 10 may request the AI ​​chatbot 3 to generate a graded aptitude evaluation for the job or job type.

[0040] The evaluation output means 15 is configured to calculate the suitability for the job or occupation as a score or a scale based on the suitability evaluation generated by the AI ​​chatbot 3 and the weighting for each human resource requirement, and display it on the user terminal 2.

[0041] The evaluation system 1 is not limited to a configuration in which an aptitude evaluation for one job or job type is performed for one resume as described above, but may be configured to perform an aptitude evaluation for multiple jobs or job types for one resume, or to perform an aptitude evaluation for one job or job type for multiple resumes.

[0042] When performing aptitude evaluations of multiple jobs or job types for one resume, the evaluation system 1 can display the jobs or job types in descending order of aptitude evaluation scores on the user terminal 2. Furthermore, when performing aptitude evaluations of multiple resumes for one job or job type, the evaluation system 1 can display employees or job seekers in descending order of aptitude evaluation scores on the user terminal 2.

[0043] The evaluation system 1 may be configured such that the work history information extraction means 12 includes a means for acquiring the working conditions of the personnel, including salary and working style, and the evaluation request means 10 inputs these working conditions into the AI ​​chatbot 3, which then requests an aptitude evaluation taking into account the working conditions in addition to the work history information. Examples of working styles include the number of working days and working hours, whether or not the personnel can work from home, and the area where the personnel work.

[0044] The operation of the human resource evaluation system 1 of the present invention will be described with reference to FIG. A user in charge of human resources or recruitment in a company accesses the evaluation system 1 from a user terminal 2 and sets in advance the personnel requirements including one or more skills or qualifications required for the task or job type to be evaluated.

[0045] On the user terminal 2, the user drags and drops the electronic file of the resume of the employee or job seeker they wish to evaluate into a designated location, and the evaluation request means 10 sends the work history information extracted from the resume to the AI ​​chatbot 3 along with the set personnel requirements and judgment conditions such as the evaluation format (for example, a staged evaluation for each personnel requirement) (step S1).

[0046] After receiving the work history information and the judgment conditions, the AI ​​chatbot 3 compares the number of tokens in the received text data with a specified value (step S2), and if the number of tokens is less than the specified value, it analyzes it using a large-scale language model (LLM) (step S3).On the other hand, if the number of tokens is greater than or equal to the specified value, the AI ​​chatbot 3 returns an error to the evaluation system 1 (step S6).

[0047] If the analysis using the large-scale language model (LLM) is successful, the AI ​​chatbot 3 returns the analysis result to the evaluation system 1 (steps S4 and S5). On the other hand, if the analysis using the large-scale language model (LLM) is unsuccessful, the AI ​​chatbot 3 returns an error to the evaluation system 1 (step S7).

[0048] The evaluation output means 15 calculates the aptitude for the job or occupation as a score or a scale based on the aptitude evaluation generated by the AI ​​chatbot 3 and the weighting for each human resource requirement, and displays it on the user terminal 2. [Example]

[0049] The human resource evaluation system 1 of the present invention comprises a storage means 16 that stores business skill information including one or more skills and / or qualifications required of human resources for each job or job type, an information collection means 13 that collects business skill information via a network 4 and stores it in the storage means 16, a work history information extraction means 12 that extracts work history information from a document describing the work history, an evaluation request means 10 that inputs the extracted work history information to an artificial intelligence 3 and requests a first aptitude evaluation for a specified job or job type, an evaluation generation means 14 that generates a second aptitude evaluation for the specified job or job type based on the extracted work history information and business skill information, and an evaluation output means 15 that combines the first aptitude evaluation generated by the artificial intelligence 3 and the second aptitude evaluation generated by the evaluation generation means 14 in a specified ratio to generate an aptitude evaluation for the specified job or job type and outputs the aptitude evaluation.

[0050] 3 is a block diagram showing another embodiment of the human resource evaluation system of the present invention. An embodiment of the present invention will be described based on the illustrated embodiment.

[0051] The evaluation system 1 is composed of an evaluation request means 10 that inputs work history information into artificial intelligence 3 and requests a first aptitude evaluation for a specified job or job type; a requirement setting means 11 that sets human resource requirements including one or more skills and / or qualifications required for the job or job type; a work history information extraction means 12 that extracts work history information from documents containing work history; an information collection means 13 that collects business skill information via a network 4; an evaluation generation means 14 that generates a second aptitude evaluation for the specified job or job type based on the extracted work history information and business skill information; an evaluation output means 15 that combines the first aptitude evaluation generated by the artificial intelligence 3 and the second aptitude evaluation generated by the evaluation generation means 14 in a specified ratio to generate an aptitude evaluation for the specified job or job type and outputs the aptitude evaluation; and a storage means 16 that stores independently-held business skill information, business skill information collected by the information collection means 13, set human resource requirements, user information, etc.

[0052] The evaluation request means 10 is configured to input the work history information extracted by the work history information extraction means 12 and the human resource requirements set by the requirement setting means 11 into the AI ​​chatbot 3 and request a first aptitude rating for the human resource requirements. The work history information extracted by the work history information extraction means 12 and the human resource requirements set by the requirement setting means 11 are also input into the evaluation generation means 14, which generates a second aptitude rating for the human resource requirements. In this embodiment, the evaluation request means 10 requests the AI ​​chatbot 3 to generate a numerical rating such as a score or a graded rating such as "excellent, good, fair, or poor" as an aptitude rating for each human resource requirement, since this makes it easy to combine two aptitude ratings. For jobs with simple human resource requirements, the evaluation request means 10 may also request the AI ​​chatbot 3 to generate a numerical rating or a graded rating for the job or job type.

[0053] The evaluation output means 15 calculates a first aptitude rating for the job or job type as a score or a scale based on the aptitude rating generated by the AI ​​chatbot 3 and the weighting for each human resource requirement. The evaluation output means 15 also calculates a second aptitude rating for the job or job type as a score or a scale based on the aptitude rating generated by the evaluation generation means 14 and the weighting for each human resource requirement. The evaluation output means 15 is configured to combine the first aptitude rating and the second aptitude rating in a predetermined ratio to generate an aptitude rating for a predetermined job or job type and display the aptitude rating on the user terminal 2. The evaluation system 1 may also have a function to input a user's evaluation of the output aptitude rating from the user terminal 2 and a feedback function to correct the combination ratio of the first aptitude rating and the second aptitude rating based on the evaluation. The configurations of the user terminal 2 and the AI ​​chatbot 3 and the other configurations of the evaluation system 1 in this embodiment are the same as those in the first embodiment. [Example]

[0054] The human resource evaluation system 1 of the present invention comprises a storage means 16 that stores business skill information including one or more skills and / or qualifications required of human resources for each job or job type, an information collection means 13 that collects business skill information via a network 4 and stores it in the storage means 16, a work history information extraction means 12 that extracts work history information from a document that describes the work history, an evaluation generation means 14 that generates an aptitude evaluation for a specified job or job type based on the extracted work history information and business skill information, and an evaluation output means 15 that outputs the aptitude evaluation generated by the evaluation generation means 14.

[0055] 4 is a block diagram showing another embodiment of the human resource evaluation system of the present invention. An embodiment of the present invention will be described based on the illustrated embodiment.

[0056] The evaluation system 1 is composed of a requirement setting means 11 that sets human resource requirements including one or more skills and / or qualifications required for a job or occupation, a work history information extraction means 12 that extracts work history information from documents describing work history, an information collection means 13 that collects business skill information via a network 4, an evaluation generation means 14 that generates an aptitude rating for a specified job or occupation based on the extracted work history information and business skill information, an evaluation output means 15 that outputs the aptitude rating generated by the evaluation generation means 14, and a storage means 16 that stores the business skill information that the system holds independently and the business skill information collected by the information collection means 13, the set human resource requirements, user information, etc.

[0057] The work history information extracted by the work history information extraction means 12 and the human resource requirements set by the requirement setting means 11 are input to the evaluation generation means 14, which generates an aptitude rating for the human resource requirements. In this embodiment, the evaluation generation means 14 generates a numerical rating such as a score or a graded rating such as "excellent, good, fair, unacceptable" as the aptitude rating for each human resource requirement. Note that for jobs with simple human resource requirements, the evaluation generation means 14 may generate an aptitude rating for the job or job type as a numerical rating or a graded rating.

[0058] The evaluation output means 15 is configured to calculate an aptitude evaluation for a task or job type as a score evaluation or a graded evaluation based on the aptitude evaluation generated by the evaluation generation means 14 and the weighting for each human resource requirement, and to display the aptitude evaluation on the user terminal 2. Note that the configurations of the user terminal 2 and the AI ​​chatbot 3 of this embodiment and other configurations of the evaluation system 1 are the same as those of the first embodiment. [Example]

[0059] The human resource evaluation program of the present invention causes a computer to function as: requirement setting means for setting human resource requirements including one or more skills and / or qualifications required for a specified job or job type; work history information extraction means for extracting work history information from a document describing the work history; evaluation request means for inputting the human resource requirements set for the job or job type for which an evaluation is sought and the extracted work history information into artificial intelligence to request an aptitude evaluation for the job or job type and / or the human resource requirements; and evaluation output means for outputting an aptitude evaluation for the job or job type based on the aptitude evaluation generated by the artificial intelligence.

[0060] In the present invention, the user terminal 2 may be provided with a talent evaluation program. The functions of each means are the same as those in the first embodiment. [Explanation of symbols]

[0061] 1. Rating System 2. User terminal 3. AI Chatbots 4 Network 10. Evaluation Request Method 11. Requirements Setting Methods 12. Method for extracting work history information 13. Information gathering methods 14 Evaluation Generation Methods 15 Evaluation output means 16 Memory means

Claims

1. A work history information extraction means for extracting work history information from a document describing the work history; evaluation request means for inputting the extracted work history information into an artificial intelligence to request an evaluation of suitability for a predetermined job or occupation; evaluation output means for outputting the aptitude evaluation generated by the artificial intelligence; An evaluation system for personnel with these skills.

2. The human resource evaluation system of claim 1, further comprising a requirement setting means for setting human resource requirements including one or more skills and / or qualifications required for the job or occupation, and wherein the evaluation request means inputs the human resource requirements into the artificial intelligence to request an aptitude evaluation for the human resource requirements.

3. 3. The personnel evaluation system of claim 1 or 2, wherein the employment history information extraction means includes a means for acquiring the personnel's working conditions, including salary or working style, and the evaluation request means inputs the working conditions into the artificial intelligence and requests the aptitude evaluation based on the employment history information and the working conditions.

4. A storage means for storing business skill information including one or more skills and / or qualifications required of personnel for each job or occupation; an information collecting means for collecting the business skill information via a network and storing it in the storage means; A work history information extraction means for extracting work history information from a document describing the work history; evaluation request means for inputting the extracted work history information into an artificial intelligence to request a first aptitude evaluation for a predetermined job or occupation; evaluation generating means for generating a second aptitude evaluation for a predetermined job or occupation based on the extracted work history information and business skill information; evaluation output means for generating an aptitude evaluation for a predetermined job or occupation by combining the first aptitude evaluation generated by the artificial intelligence and the second aptitude evaluation generated by the evaluation generation means in a predetermined ratio, and outputting the aptitude evaluation; An evaluation system for personnel with these skills.

5. 5. The human resource evaluation system of claim 4, further comprising a requirement setting means for setting human resource requirements including one or more skills and / or qualifications required for the job or occupation, wherein the evaluation request means inputs the human resource requirements into the artificial intelligence to request an aptitude evaluation for the human resource requirements, and the evaluation generation means generates an aptitude evaluation for the human resource requirements.

6. 6. A human resource evaluation system as described in claim 4 or 5, wherein the employment history information extraction means includes a means for acquiring the working conditions of the human resource, including salary or working style, the evaluation request means inputs the working conditions into the artificial intelligence, obtains the aptitude evaluation based on the employment history information and the working conditions, and the evaluation generation means generates the aptitude evaluation based on the employment history information and the working conditions.

7. A storage means for storing business skill information including one or more skills and / or qualifications required of personnel for each job or occupation; an information collecting means for collecting the business skill information via a network and storing it in the storage means; A work history information extraction means for extracting work history information from a document describing the work history; evaluation generating means for generating an aptitude evaluation for a predetermined job or occupation based on the extracted work history information and business skill information; evaluation output means for outputting the aptitude evaluation generated by the evaluation generation means; An evaluation system for personnel with these skills.

8. A human resource evaluation system as described in claim 7, further comprising a requirement setting means for setting human resource requirements including one or more skills and / or qualifications required for the job or occupation, and wherein the evaluation generation means generates an aptitude evaluation for the human resource requirements.

9. 9. A human resource evaluation system as described in claim 7 or 8, wherein the employment history information extraction means includes a means for acquiring the working conditions of the human resource, including salary or working style, and the evaluation generation means generates the aptitude evaluation based on the employment history information and the working conditions.

10. 9. The personnel evaluation system according to claim 2, wherein the requirement setting means comprises a weight setting means for setting a weight for each of the personnel requirements.

11. The human resource evaluation system of claim 10, wherein the evaluation output means includes means for calculating and displaying the aptitude for the job or occupation as a score or a scale based on the aptitude evaluation generated by the artificial intelligence or the evaluation generation means and the weighting for each human resource requirement.

12. 6. A human resource evaluation system according to claim 1, wherein the artificial intelligence is a chatbot equipped with a large-scale language model.

13. Computer, a requirement setting means for setting human resource requirements including one or more skills and / or qualifications required for a predetermined job or occupation; A work history information extraction means for extracting work history information from a document describing the work history; evaluation request means for inputting the human resource requirements set for the job or job type for which an evaluation is sought and the extracted work history information into an artificial intelligence to request an aptitude evaluation for the job or job type and / or the human resource requirements; A human resources evaluation program that functions as an evaluation output means that outputs an aptitude evaluation for the job or occupation based on the aptitude evaluation generated by the artificial intelligence.

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