JP7077495B1 - Information processing equipment, programs and information processing methods - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device, a program and an information processing method capable of contributing to the automation of human resource matching. In an information processing system in which a server device, an information processing device, and a plurality of terminals are connected via a network, a control unit 310 of the information processing device has a reading unit 311 for reading information of a recruiting company, and a recruiting company. It is provided with an extraction unit 312 that extracts information on applicants for employment based on the information and reference information of the above, and a presentation unit 313 that presents information on applicants for employment to a recruiting company. [Selection diagram] FIG. 4

Description

The present invention relates to an information processing apparatus, a program and an information processing method.

A human resources matching device that makes a recruiting company and a person who wants to work self-appeal using video information and performs human resources matching is disclosed (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2020-102104

However, the human resources matching device disclosed in Patent Document 1 does not contribute to the automation of human resources matching because it performs matching based on the interests of both the recruiting company and the applicant for employment.

In view of the above circumstances, the present invention has decided to provide an information processing device that can contribute to the automation of human resource matching.

According to one aspect of the present invention, an information processing apparatus is provided. This information processing device includes a reading unit, an extracting unit, and a presenting unit. The reading unit reads the information of the recruiting company. The extraction unit extracts information on applicants for employment based on information on recruiting companies and reference information. The reference information is information showing the relationship between the company and the workers in the company. The presentation department presents information on applicants for employment to recruiting companies.

According to the above disclosure, it is possible to contribute to the automation of human resources matching.

It is a block diagram which shows the information processing system 100 which concerns on this embodiment. It is a block diagram which shows the hardware composition of an information processing apparatus 300. It is a block diagram which shows the hardware composition of a terminal 400. It is a block diagram which shows the function realized by the information processing apparatus 300 (control unit 310). It is an activity diagram which shows the flow of the information processing executed by the information processing apparatus 300. It is a figure which shows the information of the recruiting company which concerns on this embodiment. It is a figure which shows an example of the work performance of a worker in a certain company. It is an activity diagram which shows the flow of the information processing executed by the information processing apparatus 300. It is a figure which shows the information of the person who wants to work which concerns on this embodiment.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. The various features shown in the embodiments shown below can be combined with each other.

By the way, the program for realizing the software appearing in the present embodiment may be provided as a non-transitory recording medium (Non-Transity Computer-Readable Medium) that can be read by a computer, or may be downloaded from an external server. It may be provided as possible, or it may be provided so that the program is started by an external computer and the function is realized by the client terminal (so-called cloud computing).

Further, in the present embodiment, the "part" may include, for example, a combination of hardware resources implemented by a circuit in a broad sense and information processing of software specifically realized by these hardware resources. .. In addition, various information is handled in this embodiment, and these information are, for example, physical values of signal values representing voltage and current, and signal values as a bit aggregate of a binary number composed of 0 or 1. It is represented by high-low or quantum superposition (so-called qubit), and communication / operation can be executed on a circuit in a broad sense.

Further, a circuit in a broad sense is a circuit realized by at least appropriately combining a circuit, a circuit, a processor, a memory, and the like. That is, an integrated circuit for a specific application (Application Special Integrated Circuit: ASIC), a programmable logic device (for example, a simple programmable logic device (Simple Programmable Logic Device: SPLD), a composite programmable logic device (Complex Programg)). It includes a programmable gate array (Field Programmable Gate Array: FPGA) and the like.

1. 1. Hardware Configuration Section 1 describes the hardware configuration of this embodiment.

1.1 Information processing system 100
FIG. 1 is a configuration diagram showing an information processing system 100 according to the present embodiment. The information processing system 100 includes a server device 200, an information processing device 300, and a terminal 400, which are connected to each other through a network. These components will be further described. The server device 200 indicates a general WEB server or database server. Since the hardware configuration of the server device 200 is substantially the same as the hardware configuration of the information processing device 300, the description thereof will be omitted. Here, the system exemplified by the information processing system 100 is composed of one or more devices or components.

1.2 Information processing device 300
FIG. 2 is a block diagram showing a hardware configuration of the information processing apparatus 300. The information processing apparatus 300 operates as a server that receives a request from the terminal 400 and returns a processing result. The information processing device 300 has a control unit 310, a storage unit 320, and a communication unit 350, and these components are electrically connected to each other inside the information processing device 300 via a communication bus 360. Each component will be further described.

The control unit 310 processes and controls the entire operation related to the information processing apparatus 300. The control unit 310 is, for example, a central processing unit (CPU) (not shown). The control unit 310 realizes various functions related to the information processing apparatus 300 by reading out a predetermined program stored in the storage unit 320. That is, the information processing by the software stored in the storage unit 320 can be executed as each functional unit included in the control unit 310 by specifically realizing the information processing by the control unit 310 which is an example of the hardware. These will be described in more detail in the next section. The control unit 310 is not limited to a single unit, and may be implemented so as to have a plurality of control units 310 for each function. Moreover, it may be a combination thereof.

The storage unit 320 stores various information necessary for information processing of the information processing apparatus 300. This is, for example, as a storage device such as a solid state drive (SSD) for storing various programs related to the information processing apparatus 300 executed by the control unit 310, or temporarily related to the calculation of the program. It can be implemented as a memory such as a random access memory (Random Access Memory: RAM) for storing information (arguments, arrays, etc.) required for the memory. Further, these combinations may be used.

Although wired communication means such as USB, IEEE1394, Thunderbolt, and wired LAN network communication are preferable, the communication unit 350 requires wireless LAN network communication, mobile communication such as 5G / LTE / 3G, Bluetooth (registered trademark) communication, and the like. It may be included according to the above. That is, it is more preferable to carry out as a set of these plurality of communication means. That is, the information processing device 300 communicates various information with the server device 200 and the terminal 400 via the communication unit 350 via the network.

1.3 Terminal 400
FIG. 3 is a block diagram showing a hardware configuration of the terminal 400. The terminal 400 may be, for example, a smartphone, a tablet terminal, a notebook computer, a desktop computer, or the like. The terminal 400 has a control unit 410, a storage unit 420, a display information generation unit 430, an input reception unit 440, and a communication unit 450, and these components are inside the terminal 400 via a communication bus 460. Is electrically connected. The description of the control unit 410, the storage unit 420, and the communication unit 450 will be omitted because they are substantially the same as the control unit 310, the storage unit 320, and the communication unit 350 in the information processing device 300.

The display information generation unit 430 displays texts and images (including still images and moving images), and generates information to be displayed on display devices such as CRT displays, liquid crystal displays, organic EL displays, and plasma displays.

The input receiving unit 440 inputs various information to the terminal 400, and receives signals input from a mouse, a keyboard, a pointing device, and the like. The operation input made by the user is transferred to the control unit 410 as a command signal via the communication bus 460. Then, the control unit 410 can execute a predetermined control or operation as needed.

2. 2. Functional configuration Section 2 describes the functional configuration of this embodiment. As described above, the information processing by the software stored in the storage unit 320 is specifically realized by the control unit 310 which is an example of the hardware, so that the information processing can be executed as each functional unit included in the control unit 310.

FIG. 4 is a block diagram showing a function realized by the information processing apparatus 300 (control unit 310). Specifically, the information processing apparatus 300 (control unit 310) includes a reading unit 311, an extraction unit 312, a presentation unit 313, a learning unit 314, and an acquisition unit 315.

The reading unit 311 is configured to read various information. For example, the reading unit 311 reads out the information of the recruiting company stored in the storage unit 320.

The extraction unit 312 is configured to extract various information. For example, the extraction unit 312 extracts the information of the applicant for employment based on the read information of the recruiting company and the reference information.

The presentation unit 313 is configured to present various information. For example, the presentation unit 313 presents the extracted information on the applicant for employment to the recruiting company.

The learning unit 314 is configured to learn various information. For example, the learning unit 314 generates or updates a trained model using the relationship between the recruiting company and the applicant for employment as teacher data. The machine learning algorithm is not particularly limited, and a k-nearest neighbor method, logistic regression, a support vector machine, a neural network, a topic model, a mixed Gaussian model, or the like may be appropriately adopted.

The acquisition unit 315 is configured to acquire various information. For example, the acquisition unit 315 acquires information on the recruiting company from the website.

3. 3. First Information Processing Method Section 3 describes the first information processing method of the information processing apparatus 300. This information processing method is an information processing method executed by a computer. This information processing method includes a reading step, an extraction step, and a presentation step. In the reading process, information on the recruiting company is read. In the extraction process, the information of the applicant for employment is extracted based on the information of the recruiting company and the reference information. The reference information is information showing the relationship between the company and the workers in the company. In the presentation process, information on applicants for employment is presented to the recruiting company.

FIG. 5 is an activity diagram showing the flow of information processing executed by the information processing apparatus 300. Hereinafter, explanations will be given along with each activity in this activity diagram. Here, the user who uses the information processing apparatus 300 is the recruiting company Y.

The acquisition unit 315 acquires information on each recruiting company from the website (activity A110). That is, the control unit 310 reads the Web patrol program stored in advance in the storage unit 320 and executes the acquisition process to acquire the information of each recruiting company from the website. The acquisition unit 315 may be, for example, a crawler.

Here, the information of each recruiting company includes at least one of word-of-mouth, business performance, financial status, number of employees and corporate culture. FIG. 6 is a diagram showing information on a recruiting company according to the present embodiment. FIG. 6 shows information on each of the recruiting companies of Company G, Company H, and Company I.

Here, each item will be described. Word-of-mouth shows the results of a five-point evaluation obtained from word-of-mouth sites and reputation sites. Performance shows sales for the fiscal year obtained from corporate and news sites. For financial status, for example, return on total assets and return on equity are calculated from financial statements such as balance sheet, income statement, cash flow statement, etc. posted on the corporate website and securities reports. The result is shown. In FIG. 6, the financial situation shows the return on total assets. The number of employees indicates the information obtained from the website. Corporate culture indicates predetermined keywords extracted from action guidelines, slogans, etc. posted on corporate websites.

Subsequently, the reading unit 311 reads out the acquired information of the recruiting company Y (activity A120). That is, the control unit 310 accesses the storage unit 320 and reads out the information of the recruiting company Y stored in the storage unit 320.

Subsequently, the control unit 310 reads out the reference information stored in the storage unit 320 (activity A130). In the present embodiment, the reference information is a trained model in which the relationship between the company and the workers in the company is trained in advance as teacher data. By using machine learning as in the trained model, it is possible to provide highly accurate information on job applicants suitable for the recruiting company Y.

Further, the reference information is information showing the relationship between the company and the workers in the company. Preferably, the reference information is information showing the relationship between the company, the worker in the company, and the work performance of the worker.

Here, the work performance of a worker in a company includes at least one of promotion speed, salary increase rate and retention period. FIG. 7 is a diagram showing an example of the work performance of a worker in a certain company. FIG. 7 shows the work performance of three workers for each item of “promotion”, “pay increase (cumulative)”, and “retention period”.

The "Promotion" section shows the promotion speed of each worker. Mr. A became a full-time employee one year after joining the company, was promoted to chief five years after joining the company, was promoted to chief of staff seven years after joining the company, and was promoted to section chief 15 years after joining the company. Mr. B became a full-time employee two years after joining the company and was promoted to chief eight years after joining the company. Mr. C became a full-time employee one year after joining the company and was promoted to chief six years after joining the company.

In the item of "pay increase (cumulative)", the salary increase amount and the salary increase rate of each worker are shown. Here, the starting salary of each worker is set at 200,000 yen. Mr. A had a salary increase of 4,000 yen and a salary increase rate of 102.00% one year after joining the company, and a cumulative salary increase of 50,000 yen and a cumulative salary increase rate of 125% 10 years after joining the company. .. Mr. B had a salary increase of 3,000 yen and a salary increase rate of 101.50% one year after joining the company, a cumulative salary increase of 40,000 yen and a cumulative salary increase rate of 120% 10 years after joining the company. .. Mr. C had a salary increase of 3,500 yen and a salary increase rate of 101.75% in the first year of joining the company, a cumulative salary increase of 40,000 yen 10 years after joining the company, and a cumulative salary increase rate of 120%.

The item "Retention period" shows the retention period of each worker. Mr. A is still in office and has been working for 18 years and 6 months. Mr. B has left his job 13 years and 2 months after joining the company. Mr. C has left his job after joining the company for 11 years and 4 months.

In this way, by using the reference information showing the relationship between the company and the worker in the company as well as the work performance of the worker in the company, the workers are classified into patterns and the pattern is applied. By providing information on job seekers to recruiting companies, it is possible to contribute to promoting matching between recruiting companies and job seekers.

Subsequently, the control unit 310 inputs the information of the recruiting company Y into the trained model (activity A140).

Subsequently, the extraction unit 312 extracts the information of the applicant for employment based on the information of the recruiting company Y and the learned model (activity A150). That is, the control unit 310 writes out the information of the applicant for work output from the trained model to the storage unit 320.

Subsequently, the presentation unit 313 presents the extracted information of the applicant for employment to the recruiting company Y (activity A160). That is, the control unit 310 reads out the information of the applicant for employment stored in the storage unit 320 and executes the presentation process to present the information of the applicant for employment to the recruiting company. Specifically, the control unit 310 causes the display device of the terminal 400 of the recruiting company Y to display the information of the applicant for employment.

Subsequently, the control unit 310 determines whether or not matching has been established between the recruiting company Y and the presented employment applicant (activity A170). That is, for example, if the information processing device 300 used by the recruiting company Y executes the transmission processing of the informal notification to the presented terminal 400 of the applicant for employment, it may be considered that the matching has been established. On the other hand, if the information processing device 300 used by the recruiting company Y executes the transmission processing of the rejection notice to the presented terminal 400 of the applicant for employment, it may be considered that the matching is not established. Here, the informal notice and the rejection notice are sent, for example, in the form of e-mail.

Subsequently, the control unit 310 acquires the work record of the applicant for employment who has joined the recruiting company Y (activity A180). Here, as described above, the work record may be composed of promotion speed, salary increase rate, retention period, and the like.

Subsequently, the learning unit 314 generates or updates a trained model using the relationship between the recruiting company Y and the matching employment applicant as teacher data. That is, the trained model can be generated or updated using the relationship between the recruiting company and the applicant for employment obtained during the operation of the information processing apparatus 300 as teacher data. Here, regarding the relationship between the recruiting company and the applicant for employment, for example, the recruiting company whose corporate culture is "to proceed with things carefully and steadily" and the item of "rationality" of the psychological test result are high. It is data showing that matching with the scored job applicants is easy to be established. In this way, by using the actual data as teacher data, for example, it is possible to generate or update a trained model trained specifically for a specific recruiting company, and promote matching between the recruiting company and those who wish to work. Can contribute to.

4. Second Information Processing Method Section 4 describes a second information processing method of the information processing apparatus 300. This information processing method is an information processing method executed by a computer. This information processing method includes a reading step, an extraction step, and a presentation step. In the reading process, information on a person who wants to work is read. In the extraction process, the information of the recruiting company is extracted based on the information of the applicant for employment and the reference information. The reference information is information showing the relationship between the company and the workers in the company. In the presentation process, information on the recruiting company is presented to those who wish to work.

FIG. 8 is an activity diagram showing the flow of information processing executed by the information processing apparatus 300. Hereinafter, explanations will be given along with each activity in this activity diagram. Here, the user who uses the information processing apparatus 300 is the person who wants to work Z.

The acquisition unit 315 acquires the information of the person who wants to work Z from the server device 200 (activity A310). That is, the control unit 310 receives the information of the worker Z stored in the storage unit of the server device 200 via the communication unit 350. The server device 200 prompts the information processing device 300 to input predetermined information at the start of use of the information processing device 300 by the worker Z, and receives the input information via the communication unit of the server device 200. , Stored in the storage unit of the server device 200.

Here, the information of the applicant for employment includes at least one of the results of the cultural intelligence quotient, language ability, basic academic ability and psychological test. FIG. 9 is a diagram showing information on a person who wishes to work according to the present embodiment. FIG. 9 shows information on each of Mr. D, Mr. E, and Mr. F who wish to work.

Here, each item will be described. The intelligence quotient (CQ) of culture shows the test result of CQ input to the information processing apparatus 300. The level of the Japanese Language Proficiency Test (JLPT) indicates the test result of JLPT input to the information processing apparatus 300. The TOEIC score indicates the TOEIC test result input to the information processing apparatus 300. The basic academic ability indicates the test result of the international basic academic ability test (TOFAS) input to the information processing apparatus 300. For basic academic ability, in addition to TOFAS, any test result such as basic academic ability assessment series (LIPHARE), basic adult ability diagnosis, etc. may be adopted. The result of the psychological test (cooperativeness, integrity) indicates the result of the psychological test input to the information processing apparatus 300. Psychological tests may be based on, for example, the Big Five theory, in which case they are composed of five factors: openness, integrity, extroversion, coordination and neuroticism.

Subsequently, the reading unit 311 reads out the information of the person who wants to work Z (activity A320). That is, the control unit 310 accesses the storage unit 320 and reads out the information of the worker Z stored in the storage unit 320.

Subsequently, the control unit 310 reads out the reference information stored in the storage unit 320 (activity A330). Here, the reference information is a trained model trained in advance using the relationship between the company and the workers in the company as teacher data, as in Section 3. By using machine learning like a trained model, it is possible to provide highly accurate information on recruiting companies suitable for those who wish to work.

Further, the reference information is information showing the relationship between the company and the workers in the company, as in Section 3. Preferably, the reference information is information showing the relationship between the company, the worker in the company, and the work performance of the worker, as in Section 3.

Subsequently, the control unit 310 inputs the information of the person who wants to work Z into the trained model (activity A340).

Subsequently, the extraction unit 312 extracts the information of the recruiting company based on the information of the employment applicant Z and the learned model (activity A350). That is, the control unit 310 writes out the information of the recruiting company output from the trained model to the storage unit 320.

Subsequently, the presentation unit 313 presents the information of the recruiting company to the applicant Z (activity A360). That is, the control unit 310 reads out the information of the recruiting company stored in the storage unit 320 and executes the presentation process to present the information of the recruiting company to the applicant for employment. Specifically, the control unit 310 causes the information of the recruiting company to be displayed on the display device of the terminal 400 of the employment applicant Z.

Subsequently, the control unit 310 executes the above-mentioned activities A170 to A190.

According to this embodiment, since the objective information of the recruiting company and the objective information of the applicant for employment are used, it is possible to contribute to the automation of human resource matching.

Aspects of this embodiment may be a program. This program causes the computer to function as each part of the information processing apparatus 300.

Although the embodiments of the present invention have been described above, the present invention is not limited thereto and can be appropriately modified without departing from the technical idea of the invention.

As a first modification, in the activity A110, the control unit in the server device 200 reads the Web patrol program stored in advance in the storage unit of the server device 200 and executes the acquisition process to obtain the information of the recruiting company on the Web. You may get it from the site. In this case, in the activity A120, the control unit 310 in the information processing device 300 connects to the server device 200 via the communication unit 350, acquires the information of the corresponding recruiting company, and writes it to the storage unit 320.

As a second modification, in the activity A160, the control unit 310 may send the information of the applicant for employment to the terminal 400 of the recruiting company Y by e-mail.

As a third modification, in the activity A360, the control unit 310 may send the information of the recruiting company to the terminal 400 of the worker Z by e-mail.

It may be provided in each of the following embodiments.
It is an information processing device and includes a reading unit, an extracting unit, and a presenting unit. The reading unit reads information on a person who wants to work, and the extracting unit uses information on the person who wants to work and reference information. The information of the recruiting company is extracted based on the above, and the reference information is information indicating the relationship between the company and the worker in the company, and the presenting unit transfers the information of the recruiting company to the applicant for employment. Information processing device to present.
In the information processing device, the reference information is an information processing device which is a trained model in which the relationship between a company and a worker in the company is trained in advance as teacher data.
The information processing device includes a learning unit, and the learning unit generates or updates the trained model using the relationship between the recruiting company and the employment applicant as teacher data.
The information processing device includes an acquisition unit, and the acquisition unit acquires information on the recruiting company from a website.
The information processing device includes an acquisition unit, and the acquisition unit acquires information on a person who wants to work from a server device.
In the information processing device, the reference information is information indicating a relationship between a company, a worker in the company, and a work record of the worker.
In the information processing device, the work record includes at least one of promotion speed, salary increase rate, and retention period.
In the information processing device, the information of the applicant for employment includes at least one of the results of a cultural intelligence quotient, a language ability, a basic academic ability, and a psychological test.
In the information processing device, the information of the recruiting company includes at least one of word-of-mouth, business performance, financial status, number of employees, and corporate culture.
A program that functions a computer as each part of the information processing device.
It is an information processing method executed by a computer and includes a reading process, an extracting process, and a presenting process. In the reading process, information of a recruiting company is read, and in the extracting process, information of the recruiting company is referred to. The information of the applicant for employment is extracted based on the information, and the reference information is information indicating the relationship between the company and the worker in the company, and in the presentation process, the information of the applicant for employment is referred to as described above. Information processing method to be presented to recruiting companies.
It is an information processing method executed by a computer and includes a reading process, an extraction process, and a presentation process. In the reading process, information of a work applicant is read, and in the extraction process, information of the work applicant is obtained. , Information of the recruiting company is extracted based on the reference information, the reference information is information indicating the relationship between the company and the worker in the company, and in the presentation process, the information of the recruiting company is referred to. Information processing method presented to those who wish to work.
Of course, this is not the case.

100: Information processing system 200: Server device 300: Information processing device 310: Control unit 311: Reading unit 312: Extraction unit 313: Presentation unit 314: Learning unit 315: Acquisition unit 320: Storage unit 350: Communication unit 360: Communication bus 400: Terminal 410: Control unit 420: Storage unit 430: Display information generation unit 440: Input reception unit 450: Communication unit 460: Communication bus

Claims (13)

It is an information processing device
It is equipped with a reading unit, an extraction unit, and a presentation unit.
The reading unit reads the information of the recruiting company and reads it.
The extraction unit extracts the information of the first employment applicant based on the information of the recruiting company and the reference information.
The reference information is information showing the relationship between the company and the second employment applicant who has been matched with the company.
The presentation unit presents the information of the first employment applicant to the recruiting company.
Information processing equipment. It is an information processing device
It is equipped with a reading unit, an extraction unit, and a presentation unit.
The reading unit reads the information of the first applicant for employment and reads the information.
The extraction unit extracts information on the recruiting company based on the information on the first employment applicant and the reference information.
The reference information is information showing the relationship between the company and the second employment applicant who has been matched with the company.
The presentation unit presents the information of the recruiting company to the first applicant for employment.
Information processing equipment. In the information processing apparatus according to claim 1 or 2.
The reference information is a trained model in which the relationship between the company and the second employment applicant is trained in advance as teacher data.
Information processing equipment. In the information processing apparatus according to claim 3,
Equipped with a learning department
The learning unit generates or updates the trained model using the relationship between the recruiting company and the third employment applicant who has been matched with the recruiting company as teacher data.
The third employment applicant is included in the second employment applicant,
Information processing equipment. The information processing apparatus according to any one of claims 1 to 4.
Equipped with an acquisition department
The acquisition unit acquires information on the recruiting company from the website.
Information processing equipment. In the information processing apparatus according to any one of claims 1 to 5.
Equipped with an acquisition department
The acquisition unit acquires the information of the first employment applicant from the server device.
Information processing equipment. The information processing apparatus according to any one of claims 1 to 6.
The reference information is information showing the relationship between the company, the second employment applicant, and the work performance of the worker in the company .
The worker is the second employment applicant who has joined the company.
Information processing equipment. In the information processing apparatus according to claim 7,
The work record includes at least one of promotion speed, salary increase rate and retention period.
Information processing equipment. The information processing apparatus according to any one of claims 1 to 8.
The information of the first applicant for employment includes at least one of the results of the cultural intelligence quotient, language ability, basic academic ability and psychological test.
Information processing equipment. The information processing apparatus according to any one of claims 1 to 9.
The recruiting company information includes at least one of word-of-mouth, performance, financial status, number of employees and corporate culture.
Information processing equipment. It ’s a program,
The computer functions as each part of the information processing apparatus according to any one of claims 1 to 10.
program. It is an information processing method executed by a computer.
It has a reading process, an extraction process, and a presentation process.
In the reading process, information on the recruiting company is read out.
In the extraction step, the information of the first employment applicant is extracted based on the information of the recruiting company and the reference information.
The reference information is information showing the relationship between the company and the second employment applicant who has been matched with the company.
In the presentation process, the information of the first employment applicant is presented to the recruiting company.
Information processing method. It is an information processing method executed by a computer.
It has a reading process, an extraction process, and a presentation process.
In the reading process, the information of the first applicant for employment is read out,
In the extraction step, the information of the recruiting company is extracted based on the information of the first employment applicant and the reference information.
The reference information is information showing the relationship between the company and the second employment applicant who has been matched with the company.
In the presentation process, information on the recruiting company is presented to the first employment applicant.
Information processing method.

Images