Job offer and job search matching method, program and system

Abstract

To provide a job / job matching method that can reduce the burden of job-seeking and recruiting activities for both job seekers and companies looking for employees and that enables appropriate matching. SOLUTION: Job seeker profile data is acquired. A pre-AI interview is conducted with the job seeker, and pre-AI interview result data is generated. Job data is acquired from companies hiring. A matching process is performed between the job seeker and the hiring company based on the job seeker profile, the pre-AI interview result data, and the job data. The matching process calculates the degree of matching between the job seeker and the hiring company, and provides the degree of matching to at least one of the job seeker and the hiring company.

Description

[Technical field]

[0001] The present invention relates to a job recruitment and job seeking matching method, program, and system for matching job seekers with companies offering jobs. [Background technology]

[0002] When a company is looking to hire someone, it usually goes through a document screening process, then several in-person or online interviews, and then the final selection is made. After that, the company presents the working conditions and sends a job offer to the job seeker. Then, when that person accepts the job offer, the talent is acquired. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2023-31089 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, there are the following issues. Lack of an environment where job seekers can interview anytime, anywhere. In the traditional interview process, job seekers must adjust to the company's interview schedule, which can cause many excellent candidates to miss out. Many people looking for work have difficulty adjusting interview schedules due to work and family commitments, making it difficult to access ideal job opportunities.

[0005] In addition, companies must spend a lot of time and manpower to interview a large number of applicants. Especially in the initial interviews, it takes a lot of time to check basic aptitudes and skills, making it difficult to select personnel efficiently. In addition, in terms of labor management, companies have to make the labor departments of their employees aware of the labor conditions notice, work regulations, and business rules, which is a complicated task. This makes it difficult to provide consistent information to job seekers, which can lead to misunderstandings and differences in expectations between companies and job seekers.

[0006] The present invention has been made in consideration of the above circumstances, and its purpose is to provide a job / job matching method, program, and system that can reduce the burden of job search and recruitment activities on both job seekers and companies hiring, and enable appropriate matching. [Means for solving the problem]

[0007] The present invention is a job recruitment / job search matching method in which a computer executes the following steps: a first step of acquiring job seeker profile data; a second step of conducting a pre-AI interview with the job seeker and generating pre-AI interview result data; a third step of acquiring job data from recruiting companies; and a fourth step of performing a matching process between the job seeker and the recruiting companies based on the job seeker profile, the pre-AI interview result data, and the job data.

[0008] Preferably, the matching process further includes a fifth step executed by the computer of calculating a degree of matching between the job seeker and the hiring company and providing the degree of matching to at least one of the job seeker and the hiring company.

[0009] Preferably, the computer further executes a sixth step of evaluating the job seeker based on the pre-AI interview result data and providing evaluation result data indicating the results of the evaluation to at least one of the job seeker and the hiring company to which the job seeker is applying.

[0010] Preferably, the computer further executes a sixth step of providing the job seeker with recruitment data of the hiring companies matched in the matching process, a seventh step of performing a process to mediate the job seeker's application to the hiring companies, and an eighth step of supporting the job seeker in conducting a corporate AI interview with the hiring companies to which the job seeker has applied.

[0011] Preferably, the eighth step determines the content of the corporate AI interview based on the pre-AI interview result data of the job seeker and the recruitment data from the recruiting company.

[0012] Preferably, the degree of matching is calculated based on the number of matches between the conditions presented by the job seeker and the conditions presented by the hiring company.

[0013] Preferably, a first evaluation is performed in which the facial expression of the job seeker is analyzed based on a video of the job seeker in the pre-AI interview, and at least one of the emotional state and stress level of the job seeker is evaluated based on the analysis results, and a second evaluation is performed in which at least one of the tone, pace and strength of the job seeker's voice is analyzed based on the voice of the job seeker in the pre-AI interview, and the communication skills of the job seeker are evaluated based on the analysis results, and first evaluation result data including the first evaluation and the second evaluation is provided to the hiring company that is the subject of the application.

[0014] Preferably, attention point data indicating points to be careful about in the AI ​​interview of the job seeker is generated, and second evaluation result data including the attention point data is provided to the job seeker.

[0015] Preferably, an aptitude test process is performed to identify an occupation or industry suitable for the job seeker based on at least one of the job seeker's skill set, work history, and desired conditions obtained from the job seeker profile data, and a personality test process is performed to evaluate the job seeker's personality characteristics and identify a suitable work environment or job content.

[0016] Preferably, after the company's AI interview, data including at least one of the working conditions, work regulations, job rules, and business rules of the recruiting company is provided to the job seeker.

[0017] Preferably, when the hiring company decides to hire the job seeker, employment contract data or hiring result notification data is provided to the job seeker.

[0018] A program that causes a computer to execute the following steps: a first step of acquiring job seeker profile data; a second step of conducting a pre-AI interview with the job seeker and generating pre-AI interview result data; a third step of acquiring job data from companies hiring; and a fourth step of performing a matching process between the job seeker and the companies hiring based on the job seeker profile, the pre-AI interview result data, and the job data.

[0019] A recruitment and job search system having a first means for acquiring job seeker profile data, a second means for conducting a pre-AI interview with the job seeker and generating pre-AI interview result data, a third means for acquiring recruitment data from recruiting companies, and a fourth means for performing a matching process between the job seeker and the recruiting companies based on the job seeker profile, the pre-AI interview result data, and the recruitment data. Effect of the Invention

[0020] According to the present invention, it is possible to provide a job recruitment / job search matching method, program, and system that can reduce the burden of job search / recruitment activities on both job seekers and companies looking for employees and that enables appropriate matching. [Brief description of the drawings]

[0021] [Figure 1] FIG. 1 is a configuration diagram of a job offer / job search matching system 1 according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a diagram for explaining an outline of a process flow using the job offer / job search matching system 1 shown in FIG. [Diagram 3]FIG. 3 is a diagram for explaining the flow of processing between the job seeker terminal device 13, the AI ​​system 21, the personnel matching server 23, the job rule system 25 and the data server 27 shown in FIG. [Figure 4] FIG. 4 is a diagram for explaining the flow of processing in the job offer and job search matching system 1 shown in FIG. [Diagram 5] FIG. 5 is a continuation of FIG. 4 for explaining the process flow of the job offer / job search matching system 1 shown in FIG. [Figure 6] FIG. 6 is a continuation of FIG. 5 for explaining the process flow of the job offer / job search matching system 1 shown in FIG. [Figure 7] FIG. 7 is a functional block diagram of the job offer / job search matching system 1 shown in FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0022] Hereinafter, job offer and job search matching according to an embodiment of the present invention will be described. FIG. 1 is a configuration diagram of a job offer / job search matching system 1 according to an embodiment of the present invention. As shown in FIG. 1, a job offer / job seeking matching system 1 communicates with, for example, a plurality of job seeker terminal devices 13 and a plurality of job offer terminal devices 15.

[0023] As shown in FIG. 1, the job offer / job search matching system 1 includes, for example, an AI system 21, a human resources matching server 23, a job rule system 25, and a data server 27. In this embodiment, the AI ​​interview is assumed to be online, but it may also be conducted in a real environment.

[0024] FIG. 2 is a diagram for explaining an outline of a process flow using the job offer / job search matching system 1 shown in FIG. FIG. 3 is a diagram for explaining the flow of processing between the job seeker terminal device 13, the AI ​​system 21, the personnel matching server 23, the job rule system 25 and the data server 27 shown in FIG. The process flow shown in FIG. 2 and FIG. 3 will be described in detail below.

[0025] The job seeker terminal device 13 registers the job seeker profile data in the data server 27. The job seeker profile data includes information such as the job seeker's name, contact details, educational background, work history, skills, and desired conditions.

[0026] When the AI ​​system 21 receives a job search entry from the job seeker terminal device 13, it conducts a pre-AI interview with the job seeker, generates pre-AI interview result data, and stores it in the data server 27. After receiving an entry from a job seeker, the AI ​​system 21 provides the job seeker with an explanatory video about the pre-AI interview.

[0027] The AI ​​system 21 may evaluate the job seeker based on the pre-AI interview result data and register the evaluation result information in the data server 27. The evaluation is performed based on certain criteria. According to this embodiment, an automated AI interview can be realized, and a job seeker can take an AI interview anytime, anywhere, 24 hours a day, 365 days a year. The interview includes facial expression analysis, voice analysis, personality diagnosis, and aptitude diagnosis, and evaluates the characteristics of the job seeker in detail.

[0028] The AI ​​system 21 performs a first evaluation process that analyzes the facial expression of the job seeker in real time based on the video of the job seeker during the pre-AI interview, and evaluates at least one of the emotional state and stress level of the job seeker based on the analysis results. The AI ​​system 21 analyzes at least one of the tone, pace, and strength of the job seeker's voice based on the voice of the job seeker in the pre-AI interview, and performs a second evaluation to evaluate the communication skills of the job seeker based on the analysis results. The evaluation criteria used in the first evaluation and the second evaluation are set in advance. The AI ​​system 21 provides the hiring company that is the subject of the application with first evaluation result data including the first evaluation and the second evaluation of the job seeker. In this embodiment, data may be provided by a data provider registering the data in the data server 27 and the recipient accessing the registration, or the data may be directly transmitted from the provider to the recipient.

[0029] The AI ​​system 21 generates attention point data indicating points to note for the job seeker in the AI ​​interview, and provides the job seeker with second evaluation result data including the attention point data. The data on points to note is collected by analyzing the job seeker's facial expressions and speech from video and audio, and areas for improvement are pointed out based on specified criteria.

[0030] The AI ​​system 21 performs aptitude diagnosis processing to identify the occupation or industry suitable for the job seeker based on at least one of the job seeker's skill set, work history, and desired conditions obtained from the job seeker profile data. In addition, the AI ​​system 21 performs a personality diagnosis process to evaluate the personality traits of the job seeker and identify the suitable work environment or job content. The results of these processes are then registered in the data server 27.

[0031] The job offer terminal device 15 transmits the job offer entry together with the job offer data to the data server 27 for registration. The human resources matching server 23 performs matching processing between job seekers and companies hiring based on the job seeker profile, pre-AI interview result data, and the job recruitment data read from the data server 27. The talent matching server 23 registers (stores) the matching result data in the data server 27.

[0032] The matching process by the human resources matching server 23 calculates the degree of matching between the job seeker and the hiring company, and registers the degree of matching in the data server 27. The human resources matching server 23 calculates the degree of matching based on the number of matches between the conditions presented by the job seeker and the conditions presented by the hiring company. The conditions in question are the skills of the job seeker, etc. The matching may be performed, for example, initially based on the job seeker profile, and then for job seekers who match to a certain degree, matching may be performed using pre-AI interview result data.

[0033] The talent matching server 23 presents multiple companies that are most suitable for job seekers based on pre-interview AI data and company recruitment information, etc. For example, it provides job seekers with job types such as technical, creative, and sales, as well as details of each company's recruitment information (job type, work location, salary, etc.). In addition, when presenting a number of companies to a job seeker, the degree of matching may be displayed, or a recommendation level may be displayed according to the degree of matching. In addition, when presenting a number of job seekers to a hiring company, the degree of matching may be displayed, or a recommendation level may be displayed according to the degree of matching.

[0034] The data server 27 provides the matching result data in response to a viewing request from the job seeker terminal device 13 and the job offer terminal device 15. In response to a viewing request from the job seeker terminal device 13, the data server 27 transmits job data of matching companies offering jobs to the job seeker terminal device 13. In response to a viewing request from the job vacancy terminal device 15, the data server 27 transmits the job seeker profile and pre-AI interview result data of the matched job seeker to the job vacancy terminal device 15.

[0035] The job seeker terminal device 13 displays the matching result data received from the data server 27 on the display of the job seeker terminal device 13. The job seeker looks at the data, specifies the desired company that is hiring, and transmits an entry for a first AI company interview to the AI ​​system 21. In response to the entry for the first AI company interview received from the job seeker terminal device 13, the AI ​​system 21 transmits that fact to the job offer terminal device 15, and after going through the consent process of the hiring company, performs the schedule adjustment process for the first AI company interview. The AI ​​system 21 may allow companies to display the date of the final interview on the job seeker's personal page, so that the job seeker can select the date according to his / her own convenience. This function can make it more efficient to arrange the interview schedule.

[0036] After a job seeker applies for a first AI company interview, the job rule system 25 transmits to the job seeker an explanatory video or the like of the job rules of the applied company.

[0037] The AI ​​system 21 connects to the job seeker terminal device 13 and the job offer terminal device 15 on the adjusted schedule and provides a first AI company interview. After the first AI company interview, first AI company interview result data is generated and stored in the data server 27.

[0038] The AI ​​system 21 determines the content of the company's AI interview based on the job seeker's pre-AI interview result data and the recruitment data from the recruiting company. The AI ​​system 21 further uses, for example, the job seeker profile and corporate AI interview request data from the hiring company to determine the content of the corporate AI interview. For example, the AI ​​system 21 may ask the job seeker specified questions about items specified in the company AI interview request data from the pre-AI interview result data, and evaluate the answers based on specified evaluation criteria. The degree of matching may also be used to determine the content of the company's AI interview.

[0039] The AI ​​system 21 performs pre-AI interview learning processing as follows. That is, the AI ​​system 21 uses the acquired information to perform machine learning for a trained interview model for an AI interview and a trained matching model for matching a job seeker with an employer, as well as additional machine learning. This makes it possible to conduct a preliminary AI interview (first interview) with the job seeker using the trained interview model, and optimal questions selected based on various information are asked. In addition, based on the results of the AI ​​interview and other information, it becomes possible to match the job seeker with a company with a job opening with high accuracy using the trained matching model, thereby realizing optimal matching for both parties. Note that the trained interview model for an AI interview and the trained matching model for matching a job seeker with an employer are not limited to being separate models, and may be a single model capable of AI interviews and matching.

[0040] During the AI ​​interview, the AI ​​system 21 may receive status information related to the question and answer session of the job seeker and determine whether or not there is any deception in the job seeker's words and actions. For example, the AI ​​system 21 may receive photographic information of the job seeker as status information and analyze the eye movement and body movement of the job seeker from the photographic information. Specifically, if the job seeker's eyes wander or his / her limbs move and are restless, it may be determined that the job seeker is lying. Note that the analysis may be performed by a trained interview model for AI interviews, or may be performed by a program dedicated to the analysis or another trained model.

[0041] In addition, the AI ​​system 21 performs additional machine learning on the trained interview model and trained matching model using the final matching history between job seekers and recruiting companies and various judgment results related to hiring decisions, thereby making it possible to update the models according to information related to the hiring process and information related to evaluation after hiring, etc. Therefore, by accumulating hiring records, it is possible to further improve the accuracy of AI interviews and matching between job seekers and recruiting companies. In addition, in the pre-AI interview learning process, the result data of the AI ​​company interview shown below may be used as training data for learning. In addition, in the learning process of the AI ​​company interview described below, the result data of the above-mentioned pre-AI company interview may be used as training data for learning.

[0042] In the first AI company interview, the AI ​​system 21 has the job seeker answer questions about his / her motivation for applying to the company and his / her work experience and skill set through the job seeker terminal device 13, and performs personality and aptitude diagnosis on the job seeker. The AI ​​system 21 also provides the job seeker with questions to confirm working conditions and work regulations and to confirm the job seeker's level of understanding, and obtains his / her answers.

[0043] AI System 21 mediates the process of applying to companies that are hiring when a job seeker views the recruitment data of a matched company. Specifically, it sends the job seeker's profile and the results and evaluation of a preliminary AI interview to the hiring company, and once approval is received from the hiring company, it assists in arranging the schedule for the first AI company interview. In addition, the AI ​​system 21 provides the first evaluation result data to the job seeker after the preliminary AI interview, and provides the second evaluation result data to the hiring company that the job seeker is applying to after the job seeker applies to the company. The first evaluation result data and the second evaluation result data are registered in the data server 27. The first evaluation result data includes information for determining whether a company offering a job is suitable for the job seeker from the job seeker's perspective, such as the degree to which annual salary, ease of taking paid vacation, evaluations of the company by employees and related parties, and other conditions match the job seeker's desires. The second evaluation result data includes, for example, information for judging whether the job seeker is suitable for the hiring company from the perspective of the hiring company, such as the degree to which the job seeker's skills, work history, educational background, age, family structure, health condition, etc. match the hiring company's requirements. Corporate AI interviews may be conducted in one round or in two or more rounds. In addition, for corporate AI interviews, learning processing is carried out in the same way as for the pre-AI interview mentioned above.

[0044] After the AI ​​interview with the company, the job rule system 25 provides the job seeker terminal device 13 with information including at least one of the working conditions, work regulations, and business rules of the hiring company. In addition, after the company AI interview, the job rule system 25 provides the job seeker terminal device 13 with at least one of a notice of working conditions and information on work regulations, job rules, and business rules. The job rule system 25 may check whether or not the job seeker has viewed videos of job rules, etc., and if not, may perform a process of sending a notification to the job seeker urging him or her to view the videos.

[0045] When the job offer terminal device 15 decides to hire a job seeker, it registers the data of the hiring result notice, job offer notice, and employment contract in the data server 27. The job seeker terminal device 13 accesses the data server 27 to obtain the data. The electronic signature function of AI System 21 may be used to conclude employment contracts, etc.

[0046] The AI ​​system 21 may also perform processing to follow up on a job seeker until he or she is employed after the job seeker has received a job offer from a company that is hiring.

[0047] The AI ​​system 21 may collect the job seeker's satisfaction after employment with the recruiting company and the company's feedback, and use the information to improve the service.

[0048] Additionally, after the matching process, the AI ​​system 21 may collect feedback regarding the matching results from both job seekers and companies.

[0049] 4 to 6 are diagrams for explaining the flow of processing in the job offer / job search matching system 1 shown in FIG. The processing of the above-mentioned job offer / job seeking matching system 1 is executed, for example, according to the process shown in FIG. 4 to FIG.

[0050] FIG. 7 is a functional block diagram of the job offer / job search matching system 1 shown in FIG. As shown in FIG. 7, the job offer / job seeking matching system 1 includes, for example, a display 51, an operation unit / input unit 54, a communication unit 55, a database 57, a memory 59, and a processing unit 61.

[0051] The display 51 displays an image based on a signal from the processing unit 61 . The communication unit 55 communicates with the video distribution site server device 11 and the management server device 21. The operation unit / input unit 54 is an operation means such as a touch panel, a keyboard, or a mouse. The database 57 stores various data used by the processing unit 61 . The database 57 realizes all or part of the functionality of the data server 27 . The memory 59 stores the program executed by the processing unit 61 . The processing unit 61 executes the program PRG1 stored in the memory 59 to perform the processing of the job recruitment / job seeking matching system 1 defined in this embodiment.

[0052] The processing unit 61 realizes the functions of the AI ​​system 21, the talent matching server 23, the job rule system 25, and the data server 27 described above. The AI ​​system 21, the talent matching server 23, the job rule system 25 and the data server 27 may be realized as one or more modules. At least one of the AI ​​system 21, the talent matching server 23, the job rule system 25, and the data server 27 may be realized by hardware rather than a program.

[0053] The job offer / job search matching system 1 utilizes AI technology to greatly improve the efficiency of the matching process between job seekers and companies, improving convenience and satisfaction for both parties. For example, it can improve convenience for job seekers. It can provide job seekers with an environment where they can take interviews 24 hours a day, 365 days a year, regardless of location, reducing the burden on job seekers. This allows job seekers to take interviews flexibly according to their schedule, so they don't miss out on ideal job opportunities. It also reduces the burden on companies. In other words, by utilizing AI interviews and job rule videos, companies can significantly reduce the interview burden and labor management effort.

[0054] It also enables highly accurate matching. Based on the comprehensive diagnostic results, highly accurate matching can be achieved, allowing companies looking to hire to quickly select candidates with high suitability. In other words, the AI ​​interview automatically evaluates the aptitude and skills of applicants, allowing the rapid selection of candidates with high suitability. In addition, by displaying multiple candidates to both job seekers and companies, it is possible to increase options and achieve more appropriate matching. Based on these points, the job offer / job search matching system 1 can resolve various issues between job seekers and companies and achieve efficient and effective human resource matching.

[0055] Furthermore, the job rule video can be used to consistently communicate a company's employment conditions notice, work regulations, and business rules to job seekers, improving the efficiency of labor management. This reduces the burden on the labor department of companies and enables them to provide consistent information to job seekers. In this way, the Job Offer and Job Seeker Matching System1, backed by advances in AI technology, can bring innovation to the job market and bridge the gap between job seekers and companies. By introducing an environment in which job seekers can take interviews anytime, anywhere, and a system that enables companies to reduce labor administration while achieving highly accurate matching, it can contribute to the creation of a better labor market.

[0056] The present invention is not limited to the above-described embodiments. In other words, those skilled in the art may make various modifications, combinations, sub-combinations, and substitutions of the components of the above-described embodiment within the technical scope of the present invention or an equivalent scope.

[0057] For example, at least one of the AI ​​system 21, the talent matching server 23, the job rule system 25, and the data server 27 may be realized by a system other than the job offer and job search matching system 1. [Industrial Applicability]

[0058] The present invention can be used in a job search and recruitment matching system. [Explanation of symbols]

[0059] 1. Job search and employment matching system 13...Job Seeker Terminal Device 15...Recruitment terminal device 21. AI system 23…Human Resource Matching Server 25…Job Rule System 27…Data server 51…Display 54...Operation section / input section 55…Communications Department 57…Database 59…Memory 61... Processing section

Claims

1. A first step of obtaining job seeker profile data; A second step of conducting a pre-AI interview with the job seeker and generating pre-AI interview result data; A third step of acquiring job data from companies that are hiring; A fourth step of performing a matching process between the job seeker and the recruiting company based on the job seeker profile data, the pre-AI interview result data, and the recruitment data; An eighth step of determining the content of a company AI interview based on the pre-AI interview result data of the job seeker and the job data from the recruiting company matched with the job seeker in the matching process; A job search matching method implemented by a computer.

2. The eighth step determines the content of the company AI interview based on the job seeker profile data and the company AI interview request data from the recruiting company. The job vacancy matching method according to claim 1.

3. The eighth step determines the content of the company AI interview so that specified questions are asked to the job seeker regarding the items specified in the company AI interview request data among the pre-AI interview result data, and the answers are evaluated according to specified evaluation criteria. The job vacancy matching method according to claim 2.

4. The matching process includes a fifth step of calculating a matching degree between the job seeker and the hiring company and providing the matching degree to at least one of the job seeker and the hiring company. The method for matching jobs with respect to claim 1 , further comprising the steps of:

5. A sixth step of evaluating the job seeker based on the pre-AI interview result data and providing evaluation result data indicating the result of the evaluation to at least one of the job seeker and the recruiting company to which the job seeker is applying. The method of claim 1 , further comprising the steps of:

6. A sixth step of providing the job seeker with job vacancy data of the job-seeking companies matched in the matching process; A seventh step of performing a process of mediating an entry by the job seeker to the recruiting company; An eighth step of supporting the job seeker in conducting an AI interview with the recruiting company to which the job seeker has applied; The method of claim 1 , further comprising the steps of:

7. The degree of matching is calculated based on the number of matches between the conditions presented by the job seeker and the conditions presented by the recruiting company. The job offer and job search matching method according to claim 4.

8. A first evaluation that analyzes the facial expression of the job seeker based on the video of the job seeker in the pre-AI interview and evaluates at least one of the emotional state and the stress level of the job seeker based on the analysis result; A second evaluation is performed by analyzing at least one of the tone, pace, and strength of the job seeker's voice based on the voice of the job seeker in the pre-AI interview, and evaluating the communication skills of the job seeker based on the analysis result. Run Providing first evaluation result data including the first evaluation and the second evaluation to the recruiting company that is the subject of the application The job vacancy matching method according to claim 1.

9. Generate attention point data indicating points to be careful about in the pre-AI interview of the job seeker, providing the job seeker with second evaluation result data including the attention point data; The job vacancy matching method according to claim 8.

10. Conducting an aptitude test process to identify an occupation or industry suitable for the job seeker based on at least one of the job seeker's skill set, work history, and desired conditions obtained from the job seeker profile data; Conduct a personality assessment process to evaluate the personality traits of the job seeker and identify the suitable work environment or job content The job vacancy matching method according to claim 1.

11. After the company AI interview, data including at least one of the working conditions, work regulations, job rules, and business rules of the recruiting company is provided to the job seeker; If the recruiting company decides to hire the job seeker, it provides the job seeker with employment contract data or hiring result notification data. The job vacancy matching method according to claim 1.

12. A first step of obtaining job seeker profile data; A second step of conducting a pre-AI interview with the job seeker and generating pre-AI interview result data; A third step of acquiring job data from companies that are hiring; A fourth step of performing a matching process between the job seeker and the recruiting company based on the job seeker profile data, the pre-AI interview result data, and the recruitment data; An eighth step of determining the content of a company AI interview based on the pre-AI interview result data of the job seeker and the job data from the recruiting company matched with the job seeker in the matching process; A job search program that causes a computer to execute the above.

13. a first means for obtaining job seeker profile data; A second means for conducting a pre-AI interview with the job seeker and generating pre-AI interview result data; A third means for acquiring job data from businesses that are hiring; A fourth means for performing a matching process between the job seeker and the recruiting company based on the job seeker profile data, the advance AI interview result data, and the recruitment data; An eighth means for determining the content of a company AI interview based on the pre-AI interview result data of the job seeker and the job data from the recruiting company matched with the job seeker in the matching process; A job recruitment and job search system with the above.

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