KR102634445B1 - Public Institution Recruitment System using Artificial Intelligence - Google Patents

Abstract

The purpose of the present invention is to provide a system that implements a platform that can implement a homogeneous recruitment process by minimizing the competency deviation of recruitment experts by training and selecting professional recruitment experts in the recruitment process. For this purpose, the public institution recruitment information analysis department analyzes the work characteristics of the public institution, recruitment process information, and information on successful applicants using artificial intelligence to generate admission information for the relevant public institution; and recruitment using artificial intelligence. A recruitment expert training department that stores and manages human resources information on recruitment experts, trains and trains recruitment experts suitable for the above-mentioned public institutions, and generates and evaluates training results; and uses artificial intelligence to analyze information on job seekers. A job seeker analysis department that provides job seekers with the above-mentioned public institution recruitment information and the above passing information to the job seekers; And after combining the information analyzed by the above-mentioned public institution employment information analysis department, the information analyzed by the above-mentioned recruitment expert training department, and the information analyzed by the above-mentioned job seeker analysis department using artificial intelligence, comprehensively evaluating and analyzing the information, It provides a public institution recruitment system using artificial intelligence, including a recruitment solution provider that recommends a recruitment expert suitable for the recruitment process to the public institution and provides a customized recruitment solution to the recruitment expert and the job seeker.

Description

Public Institution Recruitment System using Artificial Intelligence}

The present invention relates to a public institution recruitment system using artificial intelligence. More specifically, the present invention relates to a public institution recruitment system using artificial intelligence, which recommends recruitment experts to public institutions that have requested recruitment services and provides customized recruitment solutions to recruitment experts and job seekers. It's about the recruitment system.

In general, the hiring process usually consists of document screening, written exam, and interview.

here. The document screening is to evaluate the applicant's specifications. Most general companies conduct a document screening based on the applicant's specifications and provide the next screening opportunity only to applicants who pass the screening process. Job seekers applying to general companies must have good specifications. We are making constant efforts.

However, in public enterprise recruitment, screening based on the National Competency Standards (NCS) is more important than the applicant's specifications, such as the school attended, so it is very important to prepare for employment tailored to the characteristics of the relevant public institution.

In other words, you must first determine whether you meet the recruitment requirements of the public institution you wish to apply for, and prepare for employment appropriate to the recruitment procedures of the public institution.

Here, there are 1,733 public institutions distributed across the country, including local public enterprises, quasi-governmental institutions, other public institutions, and local public institutions, which is a large number, and each recruitment process is different, so job seekers must collect employment information about public institutions. As people are experiencing difficulties, it is necessary to provide accurate employment information and services related to employment at public institutions.

Recently, there is a high demand for recruitment experts for public institutions and public institution recruitment solution platforms for job seekers. However, currently, each recruitment agency is limited to utilizing individual recruitment experts, so we recommend suitable recruitment experts to public institutions. , Job seekers need a system that provides a platform that provides employment information specialized for the public institutions they wish to apply to.

Republic of Korea Patent No. 10-2507733 (Artificial intelligence technology-based student customized education and employment support method and system)

The purpose of the present invention is to provide a system that implements a platform that can implement a homogeneous recruitment process by minimizing variation in the capabilities of recruitment experts by nurturing and selecting professional recruitment experts with operational capabilities, knowledge, and job capabilities in the recruitment process. .

The purpose of the present invention is to provide a system that implements a platform that minimizes trial and error of job seekers and increases the success rate of job seekers by providing customized employment support services.

The purpose of the present invention is to develop employment convenience and additional services through a one-stop employment service, and to provide a system that implements a platform that provides expansion of employment opportunities to job seekers by providing a matching service between job seekers and hiring companies. .

The present invention is a public institution recruitment system using artificial intelligence, which analyzes the business characteristics of the public institution, recruitment process information, and information on successful applicants using artificial intelligence to generate acceptance information for the public institution. Information Analysis Department; and Recruitment Screening Expert Training Department, which stores and manages human resource information on recruitment experts using artificial intelligence, trains and trains recruitment experts suitable for the above-mentioned public institutions, and generates and evaluates training results. A job seeker analysis department that uses artificial intelligence to analyze information on job seekers and provides job seekers with the above-mentioned public institution recruitment information and the above passing information; And after combining the information analyzed by the above-mentioned public institution employment information analysis department, the information analyzed by the above-mentioned recruitment expert training department, and the information analyzed by the above-mentioned job seeker analysis department using artificial intelligence, comprehensively evaluating and analyzing the information, It provides a public institution recruitment system using artificial intelligence, including a recruitment solution provider that recommends a recruitment expert suitable for the recruitment process to the public institution and provides a customized recruitment solution to the recruitment expert and the job seeker.

Here, the public institution employment information analysis unit includes a public institution characteristic analysis module that analyzes the organizational characteristics, work characteristics, and workplace atmosphere of the public institution; and a job advertisement analysis module that analyzes the characteristics of the public institution's job advertisements. a written examination information analysis module that analyzes the written examination process of public institutions; and an interview examination information analysis module that analyzes the interview process of the public institution; and a passing information generation module that analyzes information on successful applicants for employment at the public institution and generates the passing information.

Here, the recruitment expert training unit verifies the recruitment expert by performing an inspection on the registered personnel DB where information on the recruitment expert is stored and the major, experience, work ability, and reputation of the recruitment expert. A screening expert verification module; and a written examination training module that trains the recruitment expert to perform the written examination required by the public institution; and a written examination training module that trains the recruitment expert to perform the written examination required by the public institution. Interview screening training module that provides training on interview screening so that you can do so; and a rating evaluation module that evaluates the results after training for the recruitment experts and classifies the recruitment experts into grades.

Here, the job seeker analysis unit is a specification analysis module that analyzes the job seeker's major, aptitude, level, and inclination by analyzing the history information provided by the job seeker; and job announcements for the public institution and the passing information. Job information provision module provided; and a success possibility provision module that compares and analyzes the information on the successful applicants for employment with the information on the job seekers to analyze the probability of success and provides the same.

Here, the recruitment solution provider uses artificial intelligence to classify the public institution's recruitment occupations, recruitment positions, and recruitment methods in consideration of the public institution's recruitment process and training results, and recommends suitable recruitment experts for each. It may be characterized as including a selection expert recommendation module.

Here, when the recruitment solution provider receives a request for a recruitment procedure from the public institution, it matches the recruitment expert evaluated and classified according to the training training results to the relevant public institution, and selects the relevant public institution from the matched recruitment expert. It may be characterized as including a recruitment test solution provision module that generates recruitment test questions and provides them to the relevant public institution.

Here, according to the results of the training, the recruitment solution provider informs the recruitment expert of the public institutions that can apply, informs the recruitment expert whether he or she is a suitable recruitment expert among written examination experts or interview experts, and informs the recruitment expert of the desired public institution. It may be characterized as including a recruitment expert solution provision module that provides customized recruitment solutions to become a.

Here, the recruitment solution provider provides a mock interview screening by matching a recruitment screening expert suitable for the desired public institution to the job seeker, provides interview screening results analyzing the mock interview screening, and provides interview screening results based on the mock interview screening results. It may be characterized as including a job seeker solution provision module that provides a customized interview solution necessary for the job seeker.

The present invention has the effect of recommending a suitable recruitment expert to an organization that needs a recruitment expert.

The present invention provides customized recruitment training tailored to the characteristics of the individual and the recruitment agency to those who wish to work as a recruitment expert, thereby training recruitment experts who can appropriately perform the recruitment process at the desired institution. It works.

The present invention has the effect of providing an optimal customized employment service to job seekers that takes their information into consideration and allows them to get a job at a desired institution.

Figure 1 is a diagram for explaining a public institution recruitment system using artificial intelligence as an embodiment of the present invention.
Figure 2 is a diagram to explain the configuration of a public institution recruitment system using artificial intelligence as an embodiment of the present invention.
Figure 3 is a diagram for explaining in more detail the function of the public institution recruitment information analysis unit according to an embodiment of the present invention.
Figure 4 is a diagram to explain in more detail the function of the recruitment expert training department according to an embodiment of the present invention.
Figure 5 is a diagram to explain in more detail the function of the job seeker analysis unit according to an embodiment of the present invention.
Figure 6 is a diagram to explain in more detail the function of the recruitment solution provider according to an embodiment of the present invention.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings.

However, the present invention is not limited to the embodiments disclosed below and will be implemented in various different forms.

The examples herein are provided to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention.

And the present invention is only defined by the scope of the claims.

Accordingly, in some embodiments, well-known components, well-known operations and well-known techniques are not specifically described in order to avoid ambiguous interpretation of the present invention.

In addition, the same reference numerals refer to the same elements throughout the specification, and the terms used (mentioned) in the specification are for explaining embodiments and are not intended to limit the present invention.

In this specification, the singular also includes the plural unless specifically stated in the phrase, and elements and operations referred to as 'including (or, including)' do not exclude the presence or addition of one or more other elements and operations. .

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings that can be commonly understood by those skilled in the art to which the present invention pertains.

Additionally, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless they are defined.

Hereinafter, preferred embodiments of the present invention will be described with reference to the attached drawings.

Figure 1 is a diagram for explaining a public institution recruitment system using artificial intelligence as an embodiment of the present invention.

The public institution recruitment system 100 using artificial intelligence of the present invention implements a platform that provides high-quality recruitment solutions to job seekers (20) and recruitment experts (30) upon request for recruitment work from public institutions (10). It's a system.

Here, the recruitment selection expert (30) refers to interviewers, test question preparation staff, etc. who provide recruitment procedures to the public institution (10).

University professors, Ph.D.s, and experts in specific fields want to work as recruitment experts after retirement. These people can register in the public institution recruitment system (100) using artificial intelligence of the present invention, complete training, and work as recruitment experts (10).

The public institution recruitment system 100 using artificial intelligence of the present invention trains and evaluates recruitment experts (30) necessary for the public institution recruitment process when a public institution (10) requests recruitment officer work, and then trains and evaluates the appropriate public institution ( 10), and employment services related to employment at the relevant public institution are provided to job seekers (20).

The public institution recruitment system 100 using artificial intelligence of the present invention divides recruitment experts (30) suitable for the characteristics of the public institution into written examination experts and interview experts for public institutions (10) and hires them suitable for the field. We recommend a selection expert (30).

Here, the public institution recruitment system 100 recommends the public institution 10 by classifying the recruitment experts 30 into grades in consideration of their experience or abilities in each field.

To this end, the public institution recruitment system 100 using artificial intelligence of the present invention operates a talent pool of recruitment experts and provides professional training necessary for recruitment to registered recruitment experts (30), and recruits experts ( If there is a public institution (10) that 30) wants, a customized recruitment solution is provided taking into account the characteristics of the public institution (10).

In addition, customized employment services are provided to job seekers (20) who have signed up as members, taking into account the characteristics of the job seekers (20). In particular, customized mock interview services can be provided through recruitment experts (30).

In other words, the public institution recruitment system 100 using artificial intelligence of the present invention provides public enterprises (10) with recruitment experts (30) necessary for the recruitment process, and provides job seekers (20) with information about their characteristics and wishes to apply. We provide customized employment services considering the characteristics of public institutions (10), and provide a one-click recruitment service specialized in public institution recruitment that provides recruitment experts (30) with the necessary skills for recruitment through training. It functions as a platform that can

More detailed functions of the public institution recruitment system 100 using artificial intelligence of the present invention will be described later.

Figure 2 is a diagram to explain the configuration of a public institution recruitment system using artificial intelligence as an embodiment of the present invention.

The public institution recruitment system 100 using artificial intelligence of the present invention includes a public institution recruitment information analysis unit 110, a recruitment expert training unit 120, a job seeker analysis unit 130, and a recruitment solution provision unit 140. Includes.

The public institution recruitment information analysis unit 110 analyzes the work characteristics of the public institution, recruitment process information, and information on successful applicants using artificial intelligence to generate acceptance information for the relevant public institution.

In other words, information on the recruitment process, such as written tests and interviews conducted in the past according to the main tasks and major tasks of the public institution, and information on successful candidates are analyzed using artificial intelligence to generate the passing information necessary to join the relevant public institution.

The recruitment expert training department (120) uses artificial intelligence to store and manage human resources information on recruitment experts (30) and trains and trains recruitment experts (30) suitable for each public institution (10). By reflecting the training results, recruitment experts (30) can be subdivided into grades.

The job seeker analysis unit 130 analyzes the job seeker information and provides job seekers with employment information of the public institution 10 and passing information analyzed by the public institution job information analysis unit 110.

Here, passing information refers to information necessary for objective passing, which is generated by analyzing the past examination questions of the relevant public institution and the information of successful applicants.

The public institution recruitment system 100 using artificial intelligence of the present invention not only provides written test questions required for recruitment to public institutions 10, but also selects recruitment experts 30 who participate in written test questions and interviews. Because this is recommended, a more detailed analysis is possible, unlike simply analyzing past exam questions.

In other words, by managing and analyzing the database registered by recruitment experts (30) who have already been hired and are active as recruitment experts (30) and have the potential to be hired in the future, expected test questions (written, interview) with a higher probability of being available for examination are managed. Passing information including can be created and provided.

The recruitment solution provision department (140) uses artificial intelligence to combine the information analyzed by the public institution recruitment information analysis department (110), the information analyzed by the recruitment expert training department (120), and the information analyzed by the job seeker analysis department (130). By combining them and comprehensively evaluating and analyzing them, recruitment solutions are provided to public institutions (10), job seekers (20), and recruitment experts (30).

The recruitment solution provided to public institutions (10) means recommending a recruitment expert (30) for written and interview tests as a solution necessary for the public institution recruitment process.

The recruitment solution provided to job seekers (20) is a customized employment service to get a job at the desired public institution (10). It does not just provide past exam questions and expected questions for public institutions, but also provides information (major, specifications) of job seekers (20). , personality, personal information, etc.), the most suitable public institution (10) is recommended, and when applying to a specific public institution (10), the above information of the job seeker (10) and the characteristics of the relevant public institution (10) are recommended. We provide a customized recruitment solution by taking into account what is sufficient and what is insufficient to pass the relevant public institution (10).

In particular, a mock interview service is provided to job seekers (20) by matching them with a recruitment expert (30) who was an existing interviewer at the public institution (10) to which they wish to apply as a mock interviewer, thereby providing a mock interview specialized for the interview process of the public institution. There are features that can increase your chances of passing.

The recruitment solution provided to recruitment experts (30) provides a training solution to become a recruitment expert. In particular, we provide customized training to become an expert on the recruitment process by considering the information (major, specifications, experience, personality, reputation, etc.) of the relevant recruitment expert (30).

Figure 3 is a diagram for explaining in more detail the function of the public institution recruitment information analysis unit according to an embodiment of the present invention.

The public institution recruitment information analysis unit (110) includes a public institution characteristic analysis module (111), a job advertisement analysis module (112), a written examination information analysis module (113), an interview screening information analysis module (114), and a passing information generation module ( 115).

The public institution characteristic analysis module 111 is a module that performs the function of analyzing the characteristics of public institutions (100), and analyzes the organizational characteristics, work characteristics, workplace atmosphere, etc. of the public institution.

By analyzing the characteristics of these public institutions, job seekers (20) and recruitment experts (30) are provided with information about not only the work performed by the public institution but also the characteristics of the members of the public institution and the atmosphere at work, thereby providing information on the characteristics of the members of the public institution and the workplace atmosphere. Rather than only using statistics and information that appears on the surface, it provides information on specific work types, workload, internal information about the organization, and organizational culture to suit the characteristics you want (type of work, workload, organizational culture, workplace atmosphere, etc.). It can provide an opportunity to choose a public institution.

The job advertisement analysis module 112 performs the function of analyzing the characteristics of job advertisements of public institutions. By analyzing the characteristics of job postings, the hiring requirements desired by the relevant public institution can be identified in detail.

The written examination information analysis module 113 performs the function of analyzing the written examination process of public institutions. In other words, by analyzing the previous written test questions of each public institution (10), information on the written examination specialized for that public institution (10) is found.

The interview selection information analysis module 114 performs the function of analyzing the interview selection process of public institutions. In other words, the interview format of each public institution (10) is analyzed to find out the characteristics of the specialized interview format of that public institution (10).

The passing information generation module 115 performs the function of generating the passing information by analyzing information on successful applicants for employment at public institutions. Here, the passing information is obtained by analyzing information including past exam questions and expected exam questions (written, interview) with a high probability of being accepted, as well as job postings and information on successful candidates, and analyzing which job seekers who met the requirements were successful. This refers to information that provides applicants with the requirements necessary to pass the exam.

Figure 4 is a diagram to explain in more detail the function of the recruitment expert training department according to an embodiment of the present invention.

The recruitment expert training department (120) includes the registered personnel DB (121), the recruitment expert verification module (122), the written examination training module (123), the interview screening training module (124), and the grade evaluation module (125). .

The registered personnel DB 121 stores information about recruitment experts.

A person who wishes to work as a recruitment expert (30) using the present invention registers by entering his/her history information in the registered personnel DB (121).

The public institution recruitment system 100 using artificial intelligence of the present invention can manage necessary recruitment experts 30 through the registered personnel DB 121 and recommend them to the public institution 10.

The recruitment expert verification module 122 can evaluate and verify the major, career, and work ability of the recruitment expert 30. In addition, by performing a test on the reputation of the relevant recruitment expert (30), it is possible to verify not only ability but also personality.

The written examination training module 123 performs the function of training recruitment experts 30 to become written examination experts by educating them on matters related to the written examination so that they can perform the written examination required by public institutions 10.

The interview screening training module 124 performs the function of training the recruitment screening experts 30 to become interview screening experts by training them on the interview screening process so that they can perform the interview screening required by the public institution 10.

The grade evaluation module 125 evaluates the recruitment expert (30) after the necessary training and subdivides the items according to the abilities and qualifications according to the recruitment process, and evaluates each item to classify the grade. Perform.

Referring to [Table 1], the recruitment expert (30) evaluates each item by subdividing the items of experience, training, number of performances, personality test, and reputation and assigns a score. A grade of

Referring to [Table 1], the overall score of the recruitment expert (31) is 35 points, and the score of the recruitment expert (32) is 32 points, giving the recruitment expert (31) a higher rating than the recruitment expert (32). It can be granted.

career training Number of times performed Personality test reputation total score Recruitment expert (31) 7 (Agricultural Technology) 5 8 7 8 35 Recruitment expert (32) 5 (Life Technology) 7 9 5 6 32

At this time, when evaluating the rating, the rating module 125 does not uniformly evaluate the rating based on a comprehensive score, but can perform the evaluation flexibly taking into account the characteristics of the public institution.

In other words, in the case of a public institution (10) that performs work related to life technology, although the overall score of the recruitment expert (32) is lower than the score of the recruitment expert (31), weight is given to experience information and the recruitment expert (32) By giving a high rating to (32), recruitment expert (32) is recommended to the relevant public institution (10).

If a public institution (10) is an organization that performs work related to life technology, but considers the personality of the recruitment expert (30) to be important, the scores related to the work will be calculated by the recruitment expert (31). ), but the personality test score is high, so the personality test items are given weight and a high grade can be given and recommended to recruitment experts (31).

In addition, if a public institution (10) considers the recruitment screening experience of a recruitment screening expert (30) important, it will give a higher rating to the recruitment screening expert (32) by giving weight to the number of performances as a recruitment screening expert (30). It can be given and recommended.

In this way, the rating evaluation module 125 can evaluate the rating of the recruitment expert 30 by differentially weighting the verification items in consideration of the characteristics and requirements of the public institution 10.

Figure 5 is a diagram to explain in more detail the function of the job seeker analysis unit according to an embodiment of the present invention.

The job seeker analysis unit 130 includes a spec analysis module 131, an employment information provision module 132, and a success possibility provision module 133.

The specification analysis module 131 performs the function of analyzing the major, aptitude, level, and inclination of the job seeker (20) by analyzing the history information provided by the job seeker (20).

In other words, it is possible to not only analyze objective specifications such as majors, qualifications, and experience of job seekers (20), but also analyze subjective specifications that take into account the aptitude, interests, and inclinations of job seekers (20).

The employment information provision module 132 performs the function of providing job seekers (20) with job postings and acceptance information for public institutions (10).

In other words, when a job seeker (20) selects a desired public institution (10), the job advertisement is analyzed and the passing information necessary for employment at the relevant public institution (10) is provided.

The module 133 for providing possibility of admission compares and analyzes information on applicants who applied to the public institution (10) and the information on the job seeker (20) and the public institution that applied to the job seeker (20). Provides information analyzing the likelihood of passing (10).

In other words, if a job seeker (20) wants to apply to a specific public institution (10), the information of applicants who applied to the public institution (10), the recruitment process information of successful applicants, and the recruitment process information of those who were rejected are analyzed and the results are obtained. By comparing and analyzing the information of the job seeker (20), the strengths and weaknesses of the job seeker (20) are created to further strengthen the strengths, and information to strengthen the weak points is created and provided.

In addition, the module 133 for providing probability of passing additionally reflects the atmosphere of the job market (recruitment size of the public institution job market, number of public institutions, number of job seekers, economic growth rate, etc.) to inform job seekers of the volatility of employability (whether it is on the rise or not). , is it falling?) information can be visualized and provided. Here, if the volatility of employability is falling, it can tell you what areas are lacking and what needs to be improved.

In other words, this function does not allow each job seeker (20) to select a specific public institution (10) to find out the possibility of being accepted, but rather to check his/her current status and what will happen in the future (whether his or her insufficient qualifications will be supplemented and the possibility of employment will increase). Alternatively, it shows whether the possibility of employment will increase as the scale of employment increases in the near future, or whether the possibility of employment will further decline as the scale of employment decreases and hiring at public institutions decreases.

Figure 6 is a diagram to explain in more detail the function of the recruitment solution provider according to an embodiment of the present invention.

The recruitment solution provision unit 140 includes a recruitment expert recommendation module 141, a recruitment test solution provision module 142, a recruitment expert solution provision module 143, and a job seeker solution provision module 144.

The recruitment expert recommendation module (141) uses artificial intelligence to classify the recruitment job type, recruitment position, and recruitment method of the public institution (10) by considering the recruitment process and training results of the public institution (10) and selects the appropriate recruitment expert. It performs the function of recommending (30) to the corresponding public institution (10).

When a recruitment procedure is requested from a public institution (10), the recruitment test solution provision module (142) matches the recruitment screening experts (30) evaluated and classified according to the results of the training training to the relevant public institution and matches the matched recruitment screening experts ( 30) performs the function of creating recruitment test questions for the relevant public institution and providing them to the relevant public institution.

Depending on the results of the training, the recruitment expert solution provision module 143 informs the recruitment expert 30 of public institutions that can apply, informs the recruitment expert 30 whether he or she is a suitable recruitment expert among written examination experts or interview experts, and informs the public institution to which he or she is applying. It performs the function of providing customized recruitment solutions to become an expert in the organization's recruitment process.

For example, through the information and training results of the recruitment expert (30), the recruitment expert (30) is informed which field (agriculture, science, education, culture, etc.) is suitable, and the recruitment expert (interview) is provided to the desired institution. Or written), it can tell you which parts need to be further improved to be selected.

When a job seeker (20) wants to apply to a specific public institution (10), the job seeker solution provision module (144) matches a recruitment screening expert (30) suitable for the applying public institution (10) and conducts a mock recruitment screening (written, interview) is provided. In addition, it provides recruitment results based on analysis of the mock recruitment process, and provides customized recruitment solutions needed for job seekers (20) based on the results of the mock recruitment process.

For example, when a job seeker (20) wants to apply to a specific public institution (10), the job seeker solution provision module (144) matches a recruitment expert (30) suitable for the applying public institution (10) and conducts a mock interview. Provides a template. In addition, we provide interview results that analyze the mock interview process, and provide customized interview solutions needed for job seekers (20) based on the mock interview results.

The mock interview solution service is conducted online. When a job seeker (20) selects a public institution (10) and applies for a mock interview, the job seeker solution provision module (144) provides the job seeker's (20) analyzed strengths and weaknesses, etc. Using the information, a mock interview service is provided by selecting a person from among the recruitment experts (30) who can complement the weaknesses of the job seeker (20) during the interview, and analyzing the mock interview results.

In particular, the job seeker solution provision module 144 matches job seekers (20) with a recruitment expert (30), who was an existing interviewer at the public institution (10) to which they wish to apply, as a mock interviewer and provides a mock interview service, thereby increasing the possibility of passing. to be able to raise it further. At this time, the strengths and weaknesses of the job seekers (20) are analyzed and matched with the corresponding public institutions (10) among the recruitment experts (30) who can well complement the weaknesses of the job seekers (20) (by public institution). Since the standards for selecting interview experts are different, a recruitment expert (30 years old) who matches with public institutions is different for each expert is selected as a mock interviewer and matched.

For example, the job seeker solution provision module 144 can provide a mock interview service to job seekers 20 by matching the recruitment expert 30 as a mock interviewer in the following manner.

1. Priority is given to matching recruitment experts who have served as interviewers at public institutions to which job seekers wish to apply as mock interviewers.

Since the recruitment expert (30), who served as an interviewer for the public institution (10) to which the job seeker (20) wishes to apply, has the best understanding of the interview process of the relevant public institution (10), the job seeker (20) applies. Recruitment experts (30) who have served as interviewers for the public institutions (10) for which they are applying are first matched as mock interviewers.

At this time, the evaluation index of the most recent recruitment expert is reflected and matched.

When matching with a mock interviewer a recruitment expert who has previously been an interviewer at the public institution to which a job seeker wishes to apply, the evaluation results of the grade evaluation module (125) and the recruitment expert among several recruitment experts who have previously served as interviewers at the public institution Considering the change in each score (whether it is rising or falling) of various factors (number of performances, personality test, reputation, etc.), even if the overall score among various recruitment experts is lower than that of other recruitment experts, public institutions to which job seekers apply Recruitment experts whose scores on factors they consider important have recently been on the rise are matched with mock interviewers.

Here, a recruitment expert (30 years old) whose factor scores related to the analysis of job seekers' strengths and weaknesses information is increasing is matched with a mock interviewer as a priority.

For example, if a job seeker's major is mechanical engineering or if he or she wants to apply to a communications-related public institution, among the recruitment experts (30) who were former interviewers at the relevant public institution, the evaluation score for communication technology is high or is on the rise. (30) can be matched with a mock interviewer to supplement the interview selection requirements for communication technology.

2. Prioritizing recruitment experts who are likely to become interviewers for the public institutions to which job seekers wish to apply are matched as mock interviewers.

A job seeker (20) is first matched with a recruitment expert (30) who is likely to become an interviewer for the public institution (10) to which he or she wishes to apply, as a mock interviewer.

In other words, when evaluating recruitment experts (30), weights are given to the main criteria factors for selecting interview experts for public institutions (10), and then the recruitment experts (30) with a high overall score of all factors are selected for the relevant public institutions (10). ), so these recruitment experts (30) are matched with mock interviewers at the relevant public institutions.

Here, among the recruitment experts (30) who are likely to become interviewers for the public institutions (10) to which the job seekers (20) wish to apply, the scores for factors related to the weaknesses of the job seekers (20) are high or are on the rise recently. Among the scores for each element of the recruitment experts (30), weights are given to the scores of factors related to the weaknesses of job seekers, and weights are given to the main criteria for selecting experts at the relevant public institutions (10), and then the overall factor is calculated. We match with recruitment experts (30) who have a high overall score.

The job seeker solution providing module 144 may select one of the two mock interviewer matching methods above and provide a mock interviewer matching service using that method. However, both matching methods are implemented and matching is performed using each method. The overall score of the recruitment expert and the reason for matching the recruitment expert (which factor has the highest score) are presented so that job seekers can select and match.

The present invention can improve the employment success rate of job seekers (20) by providing the above-described mock interview service.

Here, the job seeker solution provision module 144 creates an artificial intelligence mock interviewer with the job seeker (20), performs an artificial intelligence mock interview with the job seeker (20), and analyzes the job seeker (20)'s tendencies, attitudes, and By analyzing matters outside of the interview content, such as speaking habits and gestures, corrective information for those matters can be generated and provided.

In addition, the job seeker solution provision module 144, through the job seeker analysis unit 130, analyzes not only objective factors such as major, certificate, academic background, age, and gender of the job seeker (20), but also personality, inclination, aptitude, personality, and proactiveness. The results of the evaluation by indexing subjective factors such as etc. are calculated as a comprehensive score to determine how likely the job seeker (20) is to be accepted to each public institution (10) according to the hiring standards of each public institution (10). Individual scores for each element are also calculated to provide job seekers (20) with a customized recruitment solution that includes information on which areas their specifications are good and which areas they are lacking in.

In addition, the job seeker solution providing module 144 provides a customized recruitment solution regarding which public institution (10) among the various public institutions (10) is most suitable for the job seeker (20) through the above-described results.

In addition to the above-described features, the public institution recruitment system 100 using artificial intelligence of the present invention can provide the following services by further including an employment support additional service provision unit.

1. Sales of employment textbooks

① Personal statement writing guidebook

② Personality test bank textbook

③ NCS (National Competency Standards) test bank textbook

④ Interview test banking textbook

2. Sales of employment-related goods

① Auction of job hunting items for job seekers

② Employment talisman

The present invention is not limited to the specific preferred embodiments described above, and various modifications can be made by anyone skilled in the art without departing from the gist of the invention as claimed in the claims. Of course, it is obvious that such changes fall within the scope of the claims.

10: Public institution
20: Job seeker
30: Recruitment selection expert
100: Public institution recruitment system using artificial intelligence
111: Public institution characteristic analysis module
112: Job posting analysis module
113: Written examination information analysis module
114: Interview information analysis module
115: Passing information creation module
110: Public institution recruitment information analysis department
120: Recruitment expert training department
121: Registered personnel DB
122: Recruitment expert verification module
123: Written examination training module
124: Interview selection training module
125: Grade evaluation module
130: Job seeker analysis department
131: Specification analysis module
132: Recruitment information provision module
133: Module providing possibility of passing
140: Recruitment solution provision department
141: Recruitment expert recommendation module
142: Recruitment test solution provision module
143: Recruitment expert solution provision module
144: Job seeker solution provision module

Claims (8)

In a public institution recruitment system using artificial intelligence,
A public institution employment information analysis department that analyzes the work characteristics of public institutions, recruitment process information, and information on successful applicants using artificial intelligence to generate acceptance information for the relevant public institution;
Recruitment expert training department, which uses artificial intelligence to store and manage human resource information on recruitment experts, trains and trains recruitment experts suitable for the above-mentioned public institutions, and generates and evaluates training results;
A job seeker analysis department that uses artificial intelligence to analyze information on job seekers and provides job seekers with the above-mentioned public institution recruitment information and the above passing information;
After combining the information analyzed by the public institution recruitment information analysis department, the information analyzed by the recruitment expert training department, and the information analyzed by the job seeker analysis department using artificial intelligence, comprehensively evaluating and analyzing the information, A recruitment solution provision department that recommends recruitment experts suitable for the recruitment process to public institutions and provides customized recruitment solutions to the recruitment experts and job seekers; and
An employment support additional service provision department that sells employment textbooks and employment prayer goods, auctions job search items for employed seniors, and sells employment amulets;
Including,
The recruitment solution provider department said,
A recruitment expert recommendation module that uses artificial intelligence to classify the public institution's recruitment occupations, recruitment positions, and recruitment methods in consideration of the public institution's recruitment procedures and training results, and recommends appropriate recruitment experts respectively;
When a recruitment procedure is requested from the public institution, the recruitment experts evaluated and classified according to the training training results are matched to the relevant public institution, and the matched recruitment experts are asked to create recruitment test questions for the public institution. A recruitment test solution provision module that provides this to the relevant public institutions;
Based on the results of the above-mentioned training, we will inform the above-mentioned recruitment expert of the public institutions to which he or she can apply, inform him or her of whether he or she is a suitable recruitment expert among written examination experts or interview experts, and provide a customized recruitment solution to become a recruitment expert of the desired public institution. Recruitment screening expert solution provision module; and
The job seeker will be matched with a recruitment expert suitable for the desired public institution, but recruitment experts who have served as interviewers at the public institution to which the job seeker wishes to apply will be preferentially selected and matched as a mock interviewer, or the job seeker will apply to the job seeker for whom the job seeker wishes to apply. Recruitment experts who are likely to become interviewers at public institutions are preferentially selected and matched with mock interviewers, or information on the job seekers' strengths and weaknesses is used to identify the job seekers' weaknesses during interviews among recruitment experts. Recruitment screening experts who can supplement are first selected and matched as mock interviewers to provide a mock interview screening, provide interview screening results analyzing the mock interview screening, and provide job seekers according to the mock interview screening results. Job seeker solution provision module that provides the necessary customized interview solutions;
It further includes,
The job seeker solution provision module is the result of indexing and evaluating not only objective factors such as major, certificate, academic background, age, and gender of job seekers through the job seeker analysis department, but also subjective factors such as personality, inclination, aptitude, personality, and proactiveness. According to the recruitment standards of each public institution, the overall score and individual scores for each element are calculated to determine how likely the job seeker is to be accepted to each public institution, and which parts of the specifications are good for the job seeker and which parts are good for the job seeker. A public institution recruitment system using artificial intelligence that provides customized recruitment solutions that include information on shortages.
According to paragraph 1,
The public institution recruitment information analysis department,
A public institution characteristic analysis module that analyzes the organizational characteristics, work characteristics, and workplace atmosphere of the public institution and provides information on the specific work type, workload, internal organization information, and organizational culture of the public institution;
A job advertisement analysis module that analyzes the characteristics of the public institution's job advertisements;
A written exam information analysis module that analyzes the written exam of the public institution;
An interview selection information analysis module that analyzes the interview process of the public institution and determines the characteristics of the interview process unique to the public institution; and
By analyzing the above-mentioned public institution's job announcements, previous exam questions, expected written questions and interview questions with a high probability of being able to appear, and information on the above-mentioned job seekers, we analyze what requirements the job seekers have been successful in, and determine what is necessary for the above job seekers to pass the exam. a passing information generation module that generates the passing information including requirements;
A public institution recruitment system using artificial intelligence, characterized in that it includes.
According to paragraph 1,
The above-mentioned recruitment expert training department,
A registered personnel DB in which information about the recruitment selection experts is stored;
A recruitment expert verification module that verifies the recruitment expert by performing tests on the recruitment expert's major, career, and work ability, and by performing a reputation test to verify not only ability but also personality;
a written examination training module that educates the recruitment expert on written examination so that he or she can perform the written examination required by the public institution;
An interview screening training module that trains the recruitment screening experts on interview screening so that they can perform the interview screening required by the public institution; and
After training for the above-mentioned recruitment experts, the results are evaluated and the above-mentioned recruitment experts are classified into grades. Each item is evaluated by subdividing the items of experience, training, training, number of performances, personality test, and reputation into scores. and comprehensively evaluate the grade of the recruitment expert, or verify by considering the characteristics, requirements, related work experience, and personality of the public institution, and differentially weight the verification items to flexibly evaluate the grade of the recruitment expert. A grading evaluation module;
A public institution recruitment system using artificial intelligence, characterized in that it includes.
According to paragraph 1,
The job seeker analysis department said,
A specification analysis module that analyzes the history information provided by the job seeker to analyze objective specifications such as the job seeker's major, certification, and experience, as well as subjective specifications considering the job seeker's aptitude, interest, and inclination;
A recruitment information provision module that provides job postings for the public institution and the passing information; and
Analyze the possibility of success by comparing and analyzing the information on the successful applicants and the information on the job seekers, and additionally reflect the atmosphere of the job market (scale of recruitment in the public institution job market, number of public institutions, number of job seekers, and economic growth rate) A success probability provision module that visualizes and provides information on the volatility of employability (on the rise or decline) to the job seekers and provides supplementary information according to the volatility of employability;
A public institution recruitment system using artificial intelligence, characterized in that it includes. delete delete delete delete