Job offer and job seeking matching method, program, and system

Abstract

To provide a job offer / job hunting matching method for reducing the labor of job offer / job hunting activity, and for achieving proper matching in both a job hunter and a job offering enterprise.SOLUTION: Job candidate profile data is obtained. A pre-interview AI is conducted on the job applicant to generate a pre-interview AI result. Job offer data are acquired from a job offering company. Matching processing between the job seeker and the job offering enterprise is performed based on the job seeker profile, the preliminary AI interview result, and the job offer. The matching process calculates a matching degree between the job applicant and the recruiting company, and provides the matching degree to at least one of the job applicant and the recruiting company.SELECTED DRAWING: Figure 3

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 hiring. [Background technology]

[0002] When a company looking to hire, it usually goes through a document screening process, then several in-person or online interviews, and then makes a final selection. After that, they present the working conditions and send the job offer to the job seeker. Then, when that person accepts the job offer, the company can acquire the talent. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-31089 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 a company's interview schedule, which can cause many excellent candidates to miss out. Many people looking for work find it difficult to adjust interview dates due to work and family commitments, making it difficult to access ideal job opportunities.

[0005] In addition, companies must spend a great deal of time and manpower interviewing a large number of applicants. In particular, the initial interview process takes a lot of time to confirm basic aptitudes and skills, making it difficult to select personnel efficiently. In addition, in terms of labor management, companies have to deal with the cumbersome task of informing job seekers of notices of working conditions, work regulations, and business rules, placing a heavy burden on the labor department. This makes it difficult to provide consistent information to job seekers, which can lead to misunderstandings and mismatched expectations between companies and job seekers.

[0006] The present invention was made in consideration of the above circumstances, and its purpose is to provide a job-seeking / job-seeking matching method, program, and system that can reduce the burden of job-seeking and recruitment activities on both job seekers and companies seeking to hire, and that enables 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 company 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-interview AI result data and providing evaluation result data indicating the results of the evaluation to at least one of the job seeker and the recruiting company to which the job seeker is applying.

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

[0011] Preferably, the eighth step determines the content of the company AI interview based on the job seeker's preliminary AI interview result data 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 job seeker's facial expression is analyzed based on video of the job seeker in the pre-AI interview, and at least one of the job seeker's emotional state and stress level 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 job seeker's communication skills is evaluated based on the analysis results, and first evaluation result data including the first evaluation and the second evaluation is provided to the recruiting company that is the target of the application.

[0014] Preferably, attention point data indicating points to be careful about in the AI ​​interview for 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 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 is performed to evaluate the job seeker's personality characteristics and identify an appropriate work environment or job content.

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

[0017] Preferably, when the recruiting 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 recruiting; and a fourth step of performing a matching process between the job seeker and the companies recruiting based on the job seeker profile, the pre-AI interview result data, and the job data.

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

[0020] According to the present invention, it is possible to provide a job-seeking / job-seeking matching method, program, and system that can reduce the burden of job-seeking and recruitment activities on both job seekers and companies seeking employees, and that enables appropriate matching. [Brief explanation 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. [Figure 2] FIG. 2 is a diagram for explaining an outline of the processing flow using the job recruitment / job seeking matching system 1 shown in FIG. [Figure 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 processing flow of the job recruitment and job seeking matching system 1 shown in FIG. [Figure 5] FIG. 5 is a continuation of FIG. 4 and is used to explain the processing flow of the job recruitment / job seeking matching system 1 shown in FIG. [Figure 6] FIG. 6 is a continuation of FIG. 5 and is used to explain the processing flow of the job recruitment / job seeking 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 INVENTION

[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, the 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 recruitment / job seeking matching system 1 includes, for example, an AI system 21, a talent 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 the processing flow using the job recruitment / job seeking 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 processing flow shown in FIGS. 2 and 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-interview AI result data and register the evaluation result information in the data server 27. The evaluation is performed based on certain criteria. This embodiment realizes automated AI interviews, allowing job seekers to take AI interviews anytime, anywhere, 24 hours a day, 365 days a year. The interviews include facial expression analysis, voice analysis, personality diagnosis, and aptitude diagnosis, and evaluate the characteristics of job seekers in detail.

[0028] The AI ​​system 21 analyzes the facial expressions of the job seeker in real time based on the video of the job seeker in the pre-AI interview, and performs a first evaluation process to evaluate at least one of the job seeker's emotional state and stress level 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 job seeker's voice in the preliminary AI interview, and performs a second evaluation to evaluate the job seeker's communication skills based on the analysis results. The evaluation criteria used for 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 the data provider registering it on the data server 27 and the recipient accessing the registration, or the data may be sent directly from the provider to the recipient.

[0029] The AI ​​system 21 generates attention point data indicating points to be careful about in the AI ​​interview for the job seeker, 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 content from their video and audio, and points out areas for improvement based on specified criteria.

[0030] The AI ​​system 21 performs an aptitude diagnosis process 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. The AI ​​system 21 also performs a personality assessment process to evaluate the personality traits of job seekers and identify suitable work environments or job content. The results of these processes are then registered in the data server 27.

[0031] The job offer terminal device 15 sends the job offer entry together with the job offer data to the data server 27 for registration. The human resources matching server 23 performs a matching process between job seekers and companies hiring based on the job seeker profile, the preliminary 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 talent 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. For example, the matching may be initially performed based on the job seeker profile, and then for job seekers who have a certain degree of match, matching may be performed using pre-interview AI result data.

[0033] The talent matching server 23 presents multiple companies that are best suited to job seekers based on pre-interview AI data, 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.). Furthermore, when presenting a plurality of companies to a job seeker, the degree of matching may be displayed, or the degree of recommendation may be displayed according to the degree of matching. Furthermore, when presenting a plurality of job seekers to a hiring company, the degree of matching may be displayed, or the degree of recommendation 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 the recruitment data of the matching hiring company to the job seeker terminal device 13. In response to a viewing request from the job offer 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 offer 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 sends 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 this to the job offer terminal device 15, and after the job offer company has given its consent, it performs the schedule adjustment process for the first AI company interview. AI system 21 may also allow companies to display the date of the final interview on the job seeker's personal page, allowing the job seeker to select a date that suits their own convenience. This function can improve the efficiency of scheduling interviews.

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

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

[0039] The AI ​​system 21 performs the pre-AI interview learning process as follows. That is, the AI ​​system 21 uses the acquired information to perform machine learning for a trained interview model for AI interviews and a trained matching model for matching job seekers with employers, 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, with optimal questions selected based on various information. Furthermore, based on the results of the AI ​​interview and other information, the trained matching model can match job seekers with hiring companies with high accuracy, achieving an optimal match for both parties. The trained interview model for AI interviews and the trained matching model for matching job seekers with employers 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 job seeker's question and answer session and determine whether the job seeker's words and actions contain any deception. For example, the AI ​​system 21 may receive photographic information of the job seeker as status information and analyze the job seeker's eye movements and body movements from the photographic information. Specifically, if the job seeker's eyes wander or their limbs move restlessly, it may be determined that the job seeker is lying. Note that this analysis may be performed by a trained interview model for AI interviews, or by a program dedicated to this analysis or another trained model.

[0041] Furthermore, 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 hiring companies and various judgment results related to hiring decisions, thereby enabling the model to be updated according to information related to the hiring process and information related to post-hiring evaluations, etc. Therefore, by accumulating hiring experience, the accuracy of AI interviews and matching between job seekers and hiring companies can be further improved. 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 AI ​​company interview learning process 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 their motivation for applying to the company and their work experience and skill set via the job seeker terminal device 13, and also performs a personality diagnosis and aptitude diagnosis on the job seeker. The AI ​​system 21 also provides the job seeker with questions to confirm working conditions and work rules and to check the job seeker's level of understanding, and obtains their answers.

[0043] AI System 21 acts as an intermediary for job seekers who have viewed the recruitment data of matched companies to apply to the companies. Specifically, it sends the job seeker's profile and the results and evaluation of the preliminary AI interview to the recruiting company, and once approval is received from the recruiting company, it assists in arranging the schedule for the first AI company interview. The AI ​​system 21 provides the job seeker with first evaluation result data after the preliminary AI interview, and provides the job seeker with second evaluation result data after the job seeker applies to the company that is hiring. 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 hiring a job seeker is suitable for the job seeker from the job seeker's perspective, such as the degree to which the conditions, such as annual salary, ease of taking paid vacation, and evaluations of the company by employees and related parties, match the job seeker's preferences. The second evaluation result data includes information for determining 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 can 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 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, 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 after the company AI interview. The job rule system 25 may check whether the job seeker has watched videos of job rules, etc., and if not, may perform a process of sending a notification to the job seeker urging them to watch the videos.

[0045] When a decision is made to hire a job seeker, job offer terminal device 15 registers the data of the hiring result notice, job offer notice, and employment contract in data server 27. Job seeker terminal device 13 accesses data server 27 to acquire 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 the job seeker after he or she receives a job offer from a company 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] Furthermore, after the matching process, the AI ​​system 21 may collect feedback on the matching results from both job seekers and companies.

[0049] 4 to 6 are diagrams for explaining the processing flow of the job recruitment / job seeking matching system 1 shown in FIG. The processing of the above-described job recruitment and job seeking matching system 1 is executed, for example, through the processes shown in FIGS.

[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 recruitment / 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 implements all or part of the functions 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 by a program.

[0053] The Job and Job Seeker Matching System 1 makes full use of AI technology to significantly improve the efficiency of the matching process between job seekers and companies, thereby 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 own schedule, preventing them from missing 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 burden of interviews and labor management.

[0054] It also enables highly accurate matching. Highly accurate matching is achieved based on comprehensive diagnostic results, allowing companies looking to hire to quickly select highly suitable candidates. In other words, AI interviews automatically evaluate applicants' aptitudes and skills, allowing highly suitable candidates to be quickly selected. In addition, by displaying multiple candidates to both job seekers and companies, more options can be provided, resulting in more appropriate matches. Based on these points, the job offer / job search matching system 1 can solve various issues that exist between job seekers and companies, and achieve efficient and effective human resource matching.

[0055] Furthermore, the Job Rules 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 where 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. That is, those skilled in the art may make various modifications, combinations, subcombinations, and substitutions of the components of the above-described embodiments within the technical scope of the present invention or its equivalents.

[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 recruitment and job seeking matching system 1. [Industrial Applicability]

[0058] The present invention can be used in a job-seeking and employment 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 / 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, the advance AI interview result data, and the recruitment data. A job search matching method performed by a computer.

2. The matching process includes a fifth step 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. The job vacancy matching method according to claim 1, further comprising the steps of:

3. A sixth step of evaluating the job seeker based on the pre-interview result data and providing evaluation result data indicating the results of the evaluation to at least one of the job seeker and the recruiting company to which the job seeker is applying. The job-seeking matching method according to claim 2, further comprising the steps of:

4. a sixth step of providing the job seeker with recruitment data of the recruiting companies matched in the matching process; a seventh step of performing a process of mediating the job seeker's application 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 job search matching method according to claim 3, wherein the computer further executes the following steps:

5. The eighth step comprises: The content of the company AI interview is determined based on the job seeker's advance AI interview result data and the job data from the recruiting company. The job-seeker matching method according to claim 4.

6. 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-seeker matching method according to claim 5.

7. a first evaluation that analyzes the facial expression of the job seeker based on the video of the job seeker in the pre-interview AI interview and evaluates at least one of the emotional state and stress level of the job seeker based on the analysis result; a second evaluation that 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-interview AI interview, and evaluates the communication skills of the job seeker based on the analysis results; Run providing first evaluation result data including the first evaluation and the second evaluation to the recruiting company to which the application is made; The job-seeker matching method according to claim 5.

8. Generate attention point data indicating points to be careful about in the AI ​​interview of the job seeker, providing the job seeker with second evaluation result data including the caution data; The job-seeker matching method according to claim 7.

9. performing an aptitude diagnosis 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 appropriate work environment or job content The job-seeker matching method according to claim 8.

10. 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. The job-seeker matching method according to claim 9.

11. If the recruiting company decides to hire the job seeker, it will provide the job seeker with employment contract data or hiring result notification data. The job vacancy matching method according to claim 10.

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, the pre-AI interview result data, and the recruitment data. A job search program that causes a computer to execute the following.

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 companies 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, the advance AI interview result data, and the recruitment data; A job search system with

Images