JP2020004048A - Job hunting support system and program thereof - Google Patents

Abstract

To provide a job hunting support system and a program thereof, capable of mediating between job seekers and companies as job recruiters, for enhancing the convenience for both the job seekers and the recruiting companies.SOLUTION: There is provided a job hunting support server 1 for connecting terminal devices 4a, 4b of job seekers with a server 3 of recruiting companies over a network, by which: a recruiting site of a plurality of the recruiting companies is displayed; registrations of the job seekers are received from the terminal devices; information relating to qualifications of individuals excluding information identifying the individuals of the job seekers is provided on the server of the recruiting companies; reservations for orientation meetings explaining the recruiting companies are received from the terminal devices of the registered job seekers; and scout mails are transmitted to the terminal devices of the job seekers who match recruiting conditions set from the server of the recruiting companies.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a system for supporting job hunting, and more particularly to a job hunting support system that bridges between a job seeker and a recruiting company and improves the convenience of both the job seeker and the company, and a program therefor.

[Conventional technology]
Normally, in job hunting, a major Internet advertising site posts corporate recruiting information as an advertisement, and job seekers access the advertising site to obtain corporate recruiting information.
In addition, a conventional system for providing employment support mainly accumulates personal information of job seekers and accumulates recruiting information of hiring companies to perform matching.

[Related technology]
As related prior art documents, Japanese Patent Application Laid-Open No. 2003-108648, "Employment Support System, Job Employment Support Device, and Job Employment Support Method" (Patent Document 1), and Japanese Patent Application Laid-Open No. 2003-108805, "Human Resource Support Method and Human Resource Distribution" JP-A-2010-231885, "Employment support device, employment support method and computer program" (Patent document 3), JP-A-2006-099854 "Employment support system" (Patent document 4) Japanese Patent Application Laid-Open Publication No. 2017-156783, "Job Recruitment and Job Matching System" (Patent Document 5), and Japanese Patent No. 5993664, "Employment Support System" (Patent Document 6).

Patent Literature 1 discloses a system that analyzes characteristics of a job based on response information from a job applicant and supports employment in an appropriate job.
Patent Literature 2 discloses a system that determines compatibility between employment conditions and employment conditions and provides job information and job information to reduce employment mismatch.

Patent Literature 3 discloses an apparatus for calculating the behavior characteristics of an employee by summing up information on the behavior characteristics of a job seeker and the mail history of an employee belonging to a company, determining the similarity between the two, and determining the appropriateness. Have been.
Patent Literature 4 discloses a system that matches an OB employee of a university with an enrolled student to facilitate OB visits.

Patent Literature 5 discloses a system that suppresses the occurrence of a mismatch between a job seeker and a job seeker, based on a job seeker's experience report prepared through experience work provided by the job seeker.
Patent Literature 6 discloses a job hunting support system in which, when a job seeker is hired or rejected, information on the correlation with the index value of a job seeker of a company can be browsed.

JP 2003-108648 A JP 2003-108805 A JP 2010-231885 A JP-A-2006-099854 JP 2017-156783 A Japanese Patent No. 5993664

  However, in the conventional system for providing recruitment information of a company described above, information to be posted is determined according to an advertisement fee, so that a job seeker cannot easily find a job suitable for himself, which is convenient for job seekers. There is a problem in that it lacks in nature, and consequently, it is difficult for the recruiting company to obtain suitable recruiters, and it is also inconvenient for companies.

  In addition, the conventional employment support system accumulates personal information of job seekers and performs matching with employers, so that there is a problem that management of personal information and system construction, operation, and maintenance are not easy.

  In addition, Patent Documents 1 to 6 describe that a recruiting site of a recruiting company with high suitability for job seekers is easily found and approached to the recruiting company, and the recruiting company also easily finds a suitable job seeker. There is no.

  The present invention has been made in view of the above situation, and provides a employment support system and a program that can bridge the gap between a job seeker and a recruiting company and improve the convenience of both the job seeker and the recruiting company. The purpose is to provide.

  The present invention for solving the problems of the above conventional example is a job employment support system including a job employment support server that provides job recruitment information of a company, wherein the job employment support server has a terminal device of a job seeker and a server of an employer. Is connected to a network, displays recruitment sites of multiple recruiting companies, accepts registration of job seekers from terminal devices, and recruits company servers on the recruiting company's server except for information identifying the job seeker's individual. Providing information on the ability, accepting the recruitment company's company briefing session reservation from the registered job seeker's terminal device, and sending a scout email to the job seeker's terminal device matching the recruitment conditions set from the hiring company's server It is characterized by transmitting.

  The present invention provides the employment support system, wherein the employment support server inputs a result of the suitability test of the model employee as teacher data from the server of the hiring company, generates a learned model by learning, and seeks a job in the learned model. The result of the suitability test is input from the terminal device of the applicant, inference is performed, and a recruiting site of a recruiting company having high suitability for the job seeker is displayed on the terminal device.

  The present invention is characterized in that, in the employment support system, the employment support server transmits a scout mail from an employer having high suitability to the job seeker to the terminal device of the job seeker.

  According to the present invention, in the employment support system, the employment support server stores action history data of the job seeker in the network, and learns the action history data of the job seeker whose adoption is decided as teacher data. A model is generated, an inference is performed by inputting behavior history data of a job seeker whose adoption has not been decided in the learned model, and a recruiting site of a company that is highly likely to be employed by the job seeker is referred to as a terminal device of the job seeker. Is displayed.

  The present invention is characterized in that, in the employment support system, the employment support server displays a thumbnail of the employment site.

  The present invention is characterized in that, in the employment support system, the employment support server collectively displays a recruiting site, a homepage, a job hunting site, and a social networking service site of one company as thumbnails.

  The present invention is a computer program used in a employment support server of a employment support system that provides job employment information of a company, and inputs the result of aptitude test of model employees from the server of the employed company as teacher data from the employment support server. Then, a trained model is generated by learning, a result of the suitability test from the terminal device of the job seeker is input to the trained model, and inference is performed. It is characterized in that it is made to function so as to be displayed on a device.

  The present invention is a computer program used in a job employment support server of a job employment support system that provides job employment information of a company, wherein the job employment support server is made to learn the action history data of a job hunter decided to be employed as teacher data. Generate a trained model, input the behavior history data of the job seeker whose recruitment is not decided in the trained model, make an inference, and change the recruiting site of the company that is highly likely to be recruited to the job seeker. It is characterized in that it is made to function to display on a terminal device.

  According to the present invention, the employment support server connects the terminal device of the job seeker and the server of the hiring company via a network, displays the hiring sites of a plurality of hiring companies, and registers the job seeker from the terminal device. And providing information on the individual's abilities to the hiring company's server, excluding information identifying the job seeker's individual, and accepting a reservation for the hiring company's company briefing from the registered job seeker's terminal device, The recruiting company's server sends a scout email to the job seeker's terminal device that matches the recruiting conditions set, so the job recruiting system is used to bridge the gap between the job seeker and the recruiting company, There is an effect that both conveniences can be improved.

FIG. 1 is a schematic configuration diagram of the present system. It is the schematic which shows the example of the comparison display screen of adoption related information. It is a schematic diagram of a job seeker registration process. It is a schematic diagram of processing of a scout mail. It is the schematic of AI utilization.

An embodiment of the present invention will be described with reference to the drawings.
[Summary of Embodiment]
The employment support system (the present system) according to the embodiment of the present invention provides bridge media for bridging a job seeker and a recruiting company. And make it possible to display various sites and social networking service (SNS) pages provided by a single company on a network so that job seekers can share their personal information without disclosing personal information to the company. By doing so, a service that makes it easy to search for a suitable job can be received, and the company can send a scout mail to a job seeker whose name, address, etc. are not disclosed, and call it to a briefing session.

[This system: Fig. 1]
This system will be described with reference to FIG. FIG. 1 is a schematic configuration diagram of the present system.
As shown in FIG. 1, the present system includes a job hunting support server 1, a network 2, a hiring company server 3, a job seeker PC (personal computer) 4a and a job seeker smartphone 4b as terminal devices on the job seeker side. ing.
The job seeker PC 4a and the job seeker smartphone 4b may be collectively referred to as a job seeker terminal device 4.

  For simplicity of explanation, FIG. 1 shows one hiring company server 3, one job seeker PC 4a, and one job seeker smartphone 4b, but originally, a plurality of hiring company servers 3, a plurality of job seeker PCs 4a , A job seeker smartphone 4b exists.

[Each part of this system]
Each part of the present system will be specifically described.
[Employment support server 1]
The employment support server 1 operates a bridge media for bridging the terminal device on the job seeker side and the employer server 3 and provides the site, and is highly convenient for both the job seeker and the employer described below. Service.

As shown in FIG. 1, the employment support server 1 includes a control unit 11, a storage unit 12, and an interface unit 13. The control unit 11 reads and executes a processing program stored in the storage unit 12. This realizes a function described later.
The storage unit 12 stores a processing program, parameters required for processing, and other necessary information, and stores resume data, PR data, and other data necessary for a suitable job search of a job applicant.

The interface unit 13 is an interface for connecting to the network 2.
Although not shown in FIG. 1, a terminal device for inputting an instruction to the employment support server 1 and monitoring the processing status may be connected to the network 2.

[Network 2, Recruiting Company Server 3, Job Applicant's Terminal]
The network 2 is assumed to be the Internet.
The recruiting company server 3 provides recruiting information of the recruiting company on a recruiting site, a homepage, an SNS (Social Networking Service), a job hunting site, and the like. Note that there are various forms of providing hiring information of each company.
Further, the recruiting company server 3 makes it easier to approach promising job seekers using the bridge media of the employment support server 1.

The job seeker PC 4a browses the bridge media site provided by the job employment support server 1, browses the employment information of the hiring company, and, if registered as a job seeker, uses various services to further smooth job hunting. Is what you can do.
The job seeker smartphone 4b implements the same function as the job seeker PC 4a.

[Processing content]
Next, functions realized by the employment support server 1 will be described.
When the control unit 11 of the employment support server 1 reads and executes the processing program stored in the storage unit 12, the following functions are realized by the processing units.

  The functions executed by the control unit 11 include “employee browsing / search function”, “company-related employment site list display function”, “application function”, “explanatory meeting reservation function”, “message transmission / reception function”, “ "Scout mail function", "Appropriate company selection and display function", "Employment status providing function", "Student evaluation function", and the like.

  These functions are realized by "Employment company browsing / search processing means", "Company related employment site list display processing means", "Application processing means", "Briefing session reservation processing means", "Message transmission / reception processing means" , "Scout mail processing means", "Appropriate company selection display processing means", "Employment status providing processing means", "Student evaluation processing means", and the like.

[Employment company browsing / search function]
The employment support server 1 is provided with a function of collecting recruiting sites of various recruiting companies, displaying the recruiting companies with thumbnails in a list on the job applicant terminal device 4, and browsing the recruiting companies, and a search function for further narrowing down the recruiting companies.
As a search function, there is a title search for searching for a recruiting site by tagline, a company of interest can be registered as a favorite (fan), and the fan can be shared by SNS with a job hunting (job hunting) friend.

"Company-related employment site list display function: Fig. 2"
As shown in FIG. 2, the employment support server 1 displays a list of employment sites, home pages, job hunting sites, SNS1, SNS2, and the like for one company "A" as thumbnails as a function of displaying a list of employment sites within the company. In addition, information on employment-related sites and the like provided by one company can be easily compared and browsed.
FIG. 2 is a schematic diagram illustrating an example of a comparison display screen of adoption-related information.

In other words, the recruiting site, homepage, job hunting site, and SNS site of one company are originally displayed separately, though they are linked on the Internet, and the employment support server 1 The access information is displayed in a thumbnail on one screen in parallel.
The information on each site is searched and collected periodically by the employment support server 1 using a keyword or the like by program processing.

[Application function]
The application function is for registering the application conditions of the hiring company and providing it to job seekers.
The employment support server 1 inputs and receives information on application conditions requested by the hiring company from the hiring company server 3 and provides the information to the job seeker terminal device 4. The application condition information may be displayed on the job seeker terminal device 4 in the order of arrival, may be displayed for each industry or job type, or may be displayed by searching from the job seeker terminal device 4.

[Job applicant registration function: Fig. 3]
The job hunting support server 1 provides a job seeker registration site for registering job seekers, and the job seeker accesses the registration site from the job seeker terminal device 4 and registers necessary information of the job seeker. .
As shown in FIG. 3, the job applicant registration function accepts the registration of resumes and PR sheets from job applicants, and provides information on individual abilities without providing information identifying individuals to employers. I do. This information is used when transmitting a scout mail, which will be described later.
FIG. 3 is a schematic diagram of the job seeker registration process.

  Specifically, as shown in FIG. 3, information such as the name, age, gender, address, educational background, and qualifications of the job seeker corresponding to the resume from the job seeker PC 4a, and personal abilities such as PR corresponding to the PR sheet. The information “information A” is inputted and registered in the job seeker registration site of the job hunting support server 1, and the job employment support server 1 provides the hired company server 3 with a mask to such an extent that an individual cannot be identified. The purpose is to communicate the job seeker's personal ability information to the hiring company.

[Briefing reservation function]
The employment support server 1 provides a reservation site for booking a company briefing session (company briefing session booking site), and job seekers access the booking site from the job seeker terminal device 4 to make a reservation for the company briefing session. You can do it.

  In other words, the briefing session reservation function is a function for accepting a reservation for a company briefing session, and at the time of accepting a reservation, the employment support server 1 transmits information such as a name and an address specifying the individual of the job seeker. This is transmitted to the adopting company server 3.

[Message sending / receiving function]
The message transmission / reception function is a function in which a company sends a message to a job seeker who has made a reservation for an explanatory meeting and receives a reply.
In the message transmission / reception function, a message is transmitted / received between the job seeker terminal device 4 and the employed company server 3 via the employment support server 1.

[Scout mail function: Fig. 4]
The limited scout e-mail function is based on the job applicant's resume registered by the job applicant registration function and the PR sheet (personal information identifying individuals is kept private), and the company side sends scout e-mail to job applicants once a day Is the function to send
The employment support server 1 receives the scout mail and transmits the scout mail to the corresponding job seeker.
Further, the employment support server 1 may automatically transmit a scout mail to a job seeker in accordance with conditions set in advance from the hiring company server 3.
FIG. 4 is a schematic diagram of a scout mail process.

As shown in FIG. 4, in the present system, when a recruiting company server 3 transmits a scout mail a to the employment support server 1 based on the information of the registered job seeker, the employment support server 1 sends the corresponding job seeker terminal. The scout mail b is transmitted to the device 4, for example, the job seeker PC 4a.
An ID is given to the registered job seeker, the employer specifies the job seeker by the ID, and the employment support server 1 transmits a scout mail b to an address addressed to the job seeker based on the ID. .

  Also, the employment support server 1 has an AI (Artificial Intelligence) function, and by inputting employment conditions and the like from the employment company server 3 in advance, the AI 11a extracts job seekers meeting the conditions and automatically extracts them. The scout mail c may be transmitted to the job applicant terminal device 4 at first.

  Further, the result of the aptitude test for the job of the employee of the company is input from the recruiting company server 3 described later, and the AI 11a learns the suitable person, and scouts to the highly qualified person among the job seekers who have undergone the aptitude test. The employment support server 1 may transmit the mail c.

[Company selection display function: Fig. 5]
The company selection display function is a function in which the employment support server 1 searches for a recruiting company site that is highly suitable for job seekers and displays the site on the job seeker terminal 4.
Specifically, a plurality of model employees on the company side take an aptitude test provided by the employment support server 1, and the AI learns the test results as teacher data to generate an aptitude model (learning model) of the company. It generates the job, asks the job seeker to take the same test, obtains the probability of the job seeker's suitability by inputting into the suitability model, and displays the recruiting sites of the hiring companies in descending order of suitability.

The outline of the use of AI in the employment support server 1 will be described with reference to FIG. FIG. 5 is a schematic diagram of using AI.
As shown in FIG. 5, the use of AI has a learning phase and an inference phase.
In the learning phase, model learning is performed using the suitability test results of the model employees of the company as a learning data set to generate a learned model.
Then, in the inference phase, the suitability test result of the job seeker is input to the trained model as input data, and the output is output as the probability of the job seeker's suitability in the company.

By learning the suitability test results of a plurality of model employees for a plurality of companies as teacher data, it is possible to infer the probability of suitability for the plurality of companies.
Therefore, for a job applicant who inputs the aptitude test results, for a company that has been trained using teacher data, the output of the aptitude of the company A is 20%, the aptitude of the company B is 60%, and the aptitude of the company C is 10%. It can be provided.
Then, the employment support server 1 displays the hiring sites of the companies on the job applicant terminal device 4 in descending order of suitability based on the suitability probability. The display may be a list display of thumbnails.

  Further, the employment support server 1 stores a search history of a job applicant who has been decided to be employed and an action history on the Web from information on a site provided to the job applicant terminal device 4, and furthermore, records the name of the company that has been employed. The AI is learned by storing the association between the company name and the data such as the search history of the job seeker. It is desirable that AIs learn data sets of recruited job seekers and search histories as much as possible.

Then, the employment support server 1 inputs the search history and the action history of the job seeker whose hiring has not yet been decided into the AI model that has been learned, and employs the hiring site of the hiring company in the descending order of the hiring probability (matching rate) in the company. May be displayed.
As a result, the job seeker can easily approach a company in which a past recruiter whose preference is close to his or her search history has been recruited, and can improve the possibility of recruitment.

  Further, the employment support server 1 automatically transmits the scout mail c to a job seeker having a high probability of suitability for a specific company or a job seeker having a high possibility of adoption, which is obtained as an AI output. By doing so, it is possible to obtain job seekers who are suitable for the company on the hiring side and reduce the turnover rate after employment.

  In addition, based on the two methods of using the AI, the probability of recruitment of a job seeker in a company and the probability of suitability in a company can be derived, so the employment support server 1 provides these numbers to the job seeker. At the same time, it is also possible to provide employment advice based on those figures.

For example, even if the probability of recruitment is high, if the probability of aptitude is low, there is a possibility that job separation after joining a company is high, advice on preventing job separation is effective, and the probability of aptitude is high. However, if the probability of recruitment is low, recruitment is difficult, so that advice on PR points suitable for the company for recruitment is effective.
Therefore, the employment support server 1 can store the advice that can be dealt with in advance in the storage unit 12 based on the correlation between the two numerical values with respect to the specific company, and can provide the advice to the job applicant terminal device 4.

[Job hunting status provision function]
The job hunting status providing function is such that the job hunting support server 1 quantifies the action of the job seeker and the degree of influence of information transmission based on the SNS information of the job seeker, so that the company can confirm it. As a result, the company can easily analyze the situation of job hunting.

[Student evaluation function]
The evaluation function from the student side is a function in which a job seeker (student) who has found a job evaluates the job.
Specifically, a job hunting student who participated in a briefing session or an interview evaluates the actual situation of the company numerically by a questionnaire provided by the employment support server 1, and displays a ranking form when an evaluation item is searched. The employment support server 1 also receives real information that has undergone interviews and the like, and adds the information to the evaluation, so that an essentially attractive company can be identified.

[Effects of Embodiment]
According to the present system, the job seeker registration function allows the job seeker to perform self-PR without disclosing personal information to the company side, and the company selection display function can select and display a hiring company having a high probability of suitability by AI. , Job seekers can easily search for suitable jobs, and companies send scout emails to job seekers with a high likelihood of suitability, invite them to briefings and interviews, conduct recruitment activities, and determine the future turnover rate. This has the effect of reducing the number of employees and improving the convenience of both job seekers and recruiting companies.

  In addition, this system is not a model in which recruiting companies receive advertising fee income and recruiting advertisements, but a model in which the recruiting company's listing fee is free and a success fee is paid from the recruiting company when hiring is successful. This is a way to use options such as the function, message transmission function, and briefing reservation function to obtain an option usage fee.Employers can recruit highly qualified job seekers, which has the effect of reducing hiring costs. is there.

  INDUSTRIAL APPLICABILITY The present invention is suitable for a job hunting support system and a program thereof that can bridge a job seeker and a job seeker company and improve the convenience of both the job seeker and the company.

  DESCRIPTION OF SYMBOLS 1 ... Employment support server, 2 ... Network, 3 ... Employment company server, 4a ... Job seeker PC, 4b ... Job seeker smartphone, 11 ... Control part, 12 ... Storage part, 13 ... Interface part

Claims (8)

An employment support system including a employment support server for providing job information of a company,
The employment support server is for connecting the terminal device of the job seeker and the server of the hiring company via a network, displays hiring sites of a plurality of hiring companies, accepts registration of job seekers from the terminal device, The hiring company's server provides information on the individual's abilities except for the information identifying the job seeker's individual, and accepts a reservation for the hiring company's company briefing session from the registered job seeker's terminal device, An employment support system, wherein a scout mail is transmitted from a server of an employment company to a terminal device of a job seeker who matches employment conditions set.   The employment support server inputs the result of the suitability test of the model employee from the server of the recruiting company as teacher data, generates a learned model by learning, and outputs the learned model to the trained model in the suitability test from the terminal device of the job seeker. 2. The employment support system according to claim 1, wherein a result is input to make an inference, and a recruiting site of a recruiting company having high suitability for the job seeker is displayed on the terminal device.   3. The employment support system according to claim 2, wherein the employment support server transmits a scout mail from a recruiting company that is highly suitable for the job seeker to the terminal device of the job seeker.   The job hunting support server stores the behavior history data of the job seeker on the network, generates the learned model by learning the activity history data of the job seeker decided to be employed as teacher data, and generates the learned model. An inference is made by inputting action history data of a job seeker whose employment has not been decided, and a recruiting site of a company that is highly likely to be employed by the job seeker is displayed on the terminal device of the job seeker. 4. The employment support system according to any one of 1 to 3.   The employment support system according to any one of claims 1 to 4, wherein the employment support server displays the employment site as a thumbnail.   The employment support system according to any one of claims 1 to 5, wherein the employment support server collectively displays a recruiting site, a homepage, a job hunting site, and a social networking service site of one company as thumbnails. A computer program used in a employment support server of a employment support system that provides job offer information of a company,
The employment support server inputs the result of the suitability test of the model employee from the server of the recruiting company as teacher data, generates a learned model by learning, and applies the learned test to the trained model from the terminal device of the job seeker. The program of the employment support system characterized by inputting the result of (1) and making an inference to display on the terminal device a recruiting site of a recruiting company having high suitability for the job seeker. A computer program used in a employment support server of a employment support system that provides job offer information of a company,
The job hunting support server learns the action history data of the job seeker whose employment is decided as teacher data to generate a learned model, and inputs the action history data of the job hunter whose employment is not decided to the learned model. A program for a job hunting support system, which makes an inference and functions to display a recruiting site of a company that is highly likely to be employed by the job seeker on a terminal device of the job seeker.

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