Job placement support system

Abstract

The job seeker bot allows job seekers to efficiently communicate their skills, personality, etc., to company representatives, and provides a job placement support system that enables companies to find suitable job seekers without incurring significant costs or time. [Solution] The job support system 1 connects a job support site 50, a job seeker bot, and a company representative bot in a communication-enabled manner. The job support site 50 includes means for receiving job seeker information from the job seeker bot and company information from the company representative bot and storing them in a memory unit, means for inputting the job seeker information into the AI ​​site 30 to refine the job seeker's job information using machine learning, means for the company representative bot to acquire the job seeker information from the job seeker bot and determine whether it matches the hiring conditions, and means for transmitting this determination result to the job seeker terminal.

Description

Technical Field

[0001] The present invention relates to an employment support system.

Background Art

[0002] In recent years, it has become possible to provide job hunting support systems via the Web. For example, in the system of Patent Document 1, a job offer creation step creates a job offer from the initial conditions received in the reception step.

[0003] Specifically, a job offer including a plurality of reference items is created based on the initial conditions. The reference items are items that are referred to when creating a scout document in the scout document creation step (that is, items necessary for creating a scout document).

[0004] The job offer is added to a database. In this scout document creation step, the job offer is input into a first processing model which is a learning model, and the first processing model outputs a plurality of document components respectively corresponding to the plurality of items included in the job offer. Then, the plurality of document components are further input into a second processing model which is a learning model, and the second processing model outputs a first scout document corresponding to the job offer.

[0005] This enables efficient creation of a scout document that appropriately reflects the content of the job offer.

[0006] On the other hand, the employment support system of Patent Document 2 is composed of a job seeking company that seeks to employ dispatched workers, an employment support company that supports the employment of dispatched workers, and a personnel dispatching company that dispatches dispatched workers.

[0007] The employment support company transmits a dispatched worker request received from the job seeking company to the personnel dispatching company in response to the dispatched worker request. The employment support company transmits a dispatched worker estimate received from the personnel dispatching company to the job seeking company.

Prior Art Documents

Patent Documents

[0008] [Patent Document 1] Patent No. 7531045 [Patent Document 2] Japanese Patent Publication No. 2002-157321 [Overview of the project] [Problems that the invention aims to solve]

[0009] However, while conventional systems generate recruitment messages using learning models, company representatives still have to search for applicants, identify suitable candidates, and then conduct interviews via web, phone, or email to determine their suitability. This is inefficient for company representatives and therefore incurs significant labor costs.

[0010] Furthermore, a recruitment letter is essentially a resume registration (CV and work history) of a job seeker, and job offers are introduced based on this.

[0011] On the other hand, job seekers may be employed and lack the time to dedicate to job hunting. Therefore, they may not be able to conduct a thorough job search. In other words, they may not be able to adequately communicate their skills, strengths, and personality.

[0012] This invention was made in view of the above problems, and aims to provide job seekers with a job support system that does not require resume registration and does not take up much time. Furthermore, it aims to create a job support system that allows job seekers to efficiently communicate their skills, personality, etc. to company representatives using a virtual bot, and allows company representatives to find suitable job seekers without incurring costs or time. [Means for solving the problem]

[0013] The present invention has been made in view of the above problems, and the invention of claim 1 is a job support system that connects a job support site, a job seeker bot, and a company representative bot in a communicative manner, wherein the job support site has means for receiving job seeker information from the job seeker bot and company information from the company representative bot and storing them in a memory unit, means for inputting the job seeker information into an AI site and refining the job seeker's job seeker information by machine learning, means for the company representative bot to acquire the job seeker information from the job seeker bot and determine whether it matches the hiring conditions, and means for transmitting this determination result to the job seeker terminal.

[0014] The invention according to claim 2 is characterized by having means for defining the job seeker bot and the company representative bot in a virtual space and displaying them on the job seeker terminal while engaging in dialogue with them.

[0015] The invention according to claim 3 is characterized in that the job seeker information includes the job seeker's skills, experience, and way of thinking.

[0016] The invention according to claim 4 is characterized in that the job seeker bot is capable of obtaining information including the company's philosophy and salary from the company representative bot.

[0017] The invention according to claim 5 is characterized in that an educational site and a community site are connected in a way that enables communication. [Effects of the Invention]

[0018] As described above, according to the present invention, job seekers can efficiently convey their skills, personality, etc. to company representatives through a avatar bot without spending time registering a resume, and company representatives can obtain job seekers suitable for their company without incurring costs or time. [Brief explanation of the drawing]

[0019] The drawings show specific embodiments of the invention of the notebook according to the present disclosure, including not only the essential components of the invention but also optional and preferred embodiments. [Figure 1] It is a schematic configuration diagram of an employment support system. [Figure 2] It is a schematic program configuration diagram of the server of the employment support site. [Figure 3] It is an explanatory diagram for explaining the concept of the employment support system. [Figure 4] It is a sequence diagram (1) for explaining the overall operation of the employment support system. [Figure 5] It is a sequence diagram (2) for explaining the overall operation of the employment support system. [Figure 6] It is an explanatory diagram for explaining the features of the employment support system. [Figure 7] It is an explanatory diagram for explaining the flow of the recruitment process using the Avatar Bot. [Figure 8] It is an explanatory diagram for explaining how the Avatar Bot expresses the achievements and thinking of job seekers. [Figure 9] It is an explanatory diagram for explaining the merits of introducing the Avatar Bot.

Embodiments for Carrying Out the Invention

[0020] Hereinafter, each embodiment will be described in detail with reference to the accompanying drawings. In this example, descriptions of technologies that are already known will be omitted. Also, the devices and methods for embodying the technical idea of the invention are exemplified, and the technical idea of the present invention is not limited to the following. The technical idea of the present invention can be variously modified within the scope of the matters described in the claims. In particular, it should be noted that the drawings are schematic and different from the actual ones.

[0021] In the conventional employment support service, job introductions were made based on job seekers' resume registrations (such as resumes and work history documents), but in this embodiment, it supports the creation of job seekers' resumes, work history documents, etc. by AI (artificial intelligence).

[0022] To achieve this, a clone bot of the job seeker (hereinafter referred to as the Job Seeker Bot) will be created, and this Job Seeker Bot will respond to company recruiters (company personnel) on behalf of the job seeker 24 hours a day, 365 days a year. This will make it possible for job seekers to continue their job search on behalf of the job seeker even if they are currently employed by a company.

[0023] Figure 1 is a schematic diagram of the job placement support system 1 of this embodiment. The job placement support system 1 of this embodiment is a system that connects a job seeker terminal 10 (personal computer or smartphone) owned by the job seeker, a company-owned company terminal 20, an AI site 30 which is a site capable of executing machine learning (artificial intelligence), an education site 40 which provides education by various instructor bots, a job placement support site 50 which operates the job placement support system 1 (including a server 52, personal computers 53, etc.), and a community site 60 which facilitates communication among job seekers, via a cloud network 70 (Internet Protocol), which is a communication network. Here, in Figure 1, there are multiple job seeker terminals 10 and company terminals 20, but they are shown as one each. The job seeker bots and company personnel bots are composed of programs and operate and are displayed on the job seeker terminal 10 and company terminal 20.

[0024] In response to operational commands, AI Site 30 possesses artificial intelligence capabilities, allowing the computer to analyze data and the program to perform advanced reasoning, judgment, suggestions, and learning.

[0025] Figure 2 is a schematic program configuration diagram of the server 52 of the job placement support system 1 in this embodiment.

[0026] As shown in Figure 2, the server 52 includes a various information registration unit 512, a job seeker bot generation unit 514, a dialogue unit 516, and the like.

[0027] The various information registration unit 512 provides the job seeker terminal 10 with a screen for registering job seeker information when accessed from the job seeker terminal 10, and registers the job seeker information entered on this screen in the memory 520.

[0028] Furthermore, a screen is provided for users to input basic company information via access from the company terminal 20, and the basic company information entered on this screen is stored in memory 520.

[0029] Furthermore, the system provides the corporate terminal 20 with a list of applicant information. For example, it reads all job seeker information stored in memory 520 that meets the company's requirements, generates this as provided applicant information, and provides it to the corporate terminal 20.

[0030] The job seeker bot generation unit 514 reads the job seeker's job information (resume, work history, reasons for applying, etc.) from the memory 520 and creates a job seeker bot associated with that job information.

[0031] This job seeker bot can provide all kinds of information about job seekers, including their experience, skills, background, mindset, portfolio, and more.

[0032] Therefore, company representatives can deepen their understanding of job seekers by interacting with the job seeker bot.

[0033] The dialogue unit 516 allows company representatives to elicit information about the job seeker bot's experience, skills, etc., through a conversational format, and stores this information in the memory unit 524.

[0034] Figure 3 is an explanatory diagram illustrating the concept of the job placement support system 1 of this embodiment. As shown in Figure 3, there are multiple job seekers who wish to register (h1). The job seekers then submit their request to register their job seeker Bot from their My Page (a dedicated screen on the job seeker terminal 10). The job placement support site 50 then registers the job seeker Bot by associating it with the job seeker information (resume, work history, etc.) sent from the job seeker terminal 10 (h6).

[0035] Next, the job hunting support site 50, which is also a job - changing agent Bot, navigates the job seeker Bot, etc. (h12). Information such as the company's thinking and entry response conditions is provided from other job seeker Bots, the education department (h3), and the president Bot (company Bot) (h8). Also, the education department provides various teaching materials (h10). Job seeker Bots communicate with each other (h4). In this way, all avatar Bots may be generated and information may be shared.

[0036] Figures 4 and 5 are sequence diagrams for explaining the operation of the present embodiment. In Figure 4, there are multiple types of job seeker terminals 10 and company terminals 20, but in this embodiment, for the sake of easy explanation, they are shown as one.

[0037] The job seeker operates the job seeker terminal 10 to access the job hunting support site 50 and registers job seeker information (d10, d12).

[0038] The job seeker information is composed of an account (ID, password), the job seeker's ID, name, address, job seeker code, phone number, email address, registration number, resume, work experience resume, the job seeker's photo, desired job type, salary, working place, working conditions, voice, etc., and is preferably generated by the chat function of the AI site 30.

[0039] This job seeker information is sent to the AI site 30 by the various information registration section 512 (d14) and registered in the database (d16).

[0040] Then, the job seeker Bot generation section 514 sends the job seeker Bot generation request information (including the job seeker code) to the AI site 30 (d18), and the AI site 30 stores this in the database (d20).

[0041] The AI site 30 retrieves the job seeker information in the database having the job seeker code and generates an image and voice of the job seeker Bot that does not damage the image of the job seeker based on the photo included in this information.

[0042] The job seeker bot generation unit 514 then retrieves an image of the generated job seeker bot from the AI ​​site 30, sends the image and voice of the job seeker bot to the job seeker terminal 10, and makes a small movement while generating voice (for example, "I am XX," moving its mouth) to determine if it is acceptable (d22a, d22b). Meanwhile, the AI ​​site 30 stores this decision information in memory (not shown) (d24).

[0043] Next, the job seeker bot generation unit 514 generates a job seeker bot (d26). This job seeker bot generation is done by reading the job seeker information from memory 520 and generating it while interacting with the AI ​​site 30 (d30).

[0044] For example, the AI ​​site 30 retrieves appropriate programs for eliciting experience, skills, etc., in a dialogue format via chat between the job seeker and the AI ​​site 30, programs for acquiring ways of thinking and areas for improvement, and APIs to connect these, and stores them in memory 522. The job seeker information, the job seeker bot, and the date and time are associated with this inquiry program for job seekers and stored as job seeker bot information (d28).

[0045] Then, the job seeker bot generation unit 514 generates information indicating the creation of the job seeker bot (d32) and notifies the job seeker terminal 10 of this (d34).

[0046] Then, the job seeker bot generation unit 514 starts a program on the job seeker terminal 10 that interacts with the job seeker in an interactive format based on the job seeker bot in memory 522 (d36). This program inquires about salary, skills, etc. (d42). The results are stored in memory 524 as job seeker application information (d44).

[0047] Furthermore, this job seeker application information is sent to AI site 30 (d40), where it undergoes machine learning (d48) to refine and update the job seeker information through appropriate programs to elicit experience, skills, etc., programs to acquire perspectives and areas for improvement, and APIs that connect these (d50).

[0048] Next, we will explain the dialogue between company representatives and the job seeker bot using Figure 5.

[0049] Company personnel operate the company terminal 20 to send basic company information to the server 52 of the job support site 50 (d60) and register (d62).

[0050] This basic company information consists of company name, contact person, company code, contact person code, telephone number, email address, address, industry, company appeal, desired personnel, personality, age, gender, etc.

[0051] Company personnel operate the company terminal 20 to send the applicant information requirements (hereinafter referred to as applicant information requirements information) to the job support site 50 (d64). The various information registration unit 512 of the server 52 reads all job seeker information stored in the memory 520 that satisfies the applicant information requirements information (d68), generates this as provided applicant information (d66), and provides it to the company terminal 20 (d67).

[0052] The company terminal 20 displays a list of applicant information on its screen, and the person in charge selects the job seeker they are interested in and submits the request (d70).

[0053] Meanwhile, the dialogue unit 516 of the server 52 of the job support site 50 activates the job seeker bot for the selected job seeker (d72).

[0054] The job seeker bot generation unit 514 displays a character image of the job seeker bot on the company terminal 20, as shown in Figure 6 (d78).

[0055] The character image of this job seeker bot has learned how job seekers speak and is representing job seekers in a natural conversation. At this time, it is communicating with AI site 30 (d76).

[0056] Furthermore, the Job Seeker Bot can provide all kinds of information about job seekers, including their experience, skills, background, mindset, portfolio, and more.

[0057] Therefore, company representatives can deepen their understanding of job seekers and ask questions directly by interacting with the character image of the job seeker bot (job seeker bot).

[0058] Therefore, even with a large number of applicants, it is possible to shorten the time spent on interviews and streamline the entire recruitment process.

[0059] The job seeker bot generation unit 514 stores this application result in memory 524 via the dialogue unit 516 (d82).

[0060] For example, it stores information such as job seeker details, basic company information, whether the company is actively recruiting, and whether it excels in certain areas (Bot interview results).

[0061] Then, the job support site 50 sends this bot interview result information to the company terminal 20 (d83).

[0062] Company personnel refer to this bot interview results information, consult with their supervisor and the hiring department, decide whether or not to hire the candidate, and send an acceptance notification via email or other means to the job seeker's terminal 10 (d84).

[0063] Alternatively, companies can create bots representing their employees, allowing job seekers to interact with these bots.

[0064] In other words, the recruitment process using avatar bots (job seeker bots, company representative bots, etc.) follows the flow shown in Figure 7, from application (job seekers register their information with the avatar bot) to interview with the avatar bot (company representatives converse with the avatar bot to learn more about the job seeker), interview (conducts interviews with job seekers who showed interest during the interview with the avatar bot), and finally, hiring (a hiring decision is made based on the interview results).

[0065] The application process involves job seekers registering their information with a virtual bot, and interviews with the bot are conducted by company representatives who converse with the bot to learn more about the job seeker.

[0066] The initial interview is conducted with a virtual bot, and interviews are then conducted with job seekers who show interest. Hiring decisions are made based on the interview results.

[0067] Furthermore, as shown in Figure 8, the method by which the avatar bot represents the job seeker's achievements and way of thinking involves data analysis that analyzes past work content, results, evaluations, etc., to provide objective information.

[0068] Natural language processing analyzes job applicants' past writings and statements to understand their thought patterns and values.

[0069] Furthermore, image recognition analyzes job applicants' portfolios to evaluate their skills and expressive abilities.

[0070] Therefore, as shown in Figure 9, the benefits of introducing the avatar bot include improved recruitment efficiency (reducing interview time and streamlining the entire recruitment process), a reduction in recruitment mismatches (deepening mutual understanding between job seekers and companies and preventing mismatches), and a reduction in talent acquisition costs (reducing the time and cost involved in recruitment activities).

[0071] Furthermore, company representatives can gain a detailed understanding of skills, experience, and qualifications, as well as an understanding of the applicant's mindset and values, their approach to their career, their values, and their enthusiasm for work. They can also directly view the applicant's portfolio and work, allowing them to evaluate its quality and level through the avatar bot.

[0072] Although each embodiment has been described in detail above, the invention is not limited to any particular embodiment, and various modifications and changes are possible within the scope described in the claims. Furthermore, it is possible to combine all or more of the components of the embodiments described above. [Explanation of Symbols]

[0073] 1. Job Placement Support System 10 Job seeker terminals 20 Enterprise terminals 30 AI sites 40 Educational Websites 50 Job Support Websites 52 servers 53 Personal computer 60 Community Sites 70. Communication Network (Cloud Network)

Claims

1. A job support system that connects a job support website, a job seeker bot, and a company representative bot in a communication-enabled manner, The aforementioned job support site includes means for receiving job seeker information from the aforementioned job seeker bot and company information from the aforementioned company personnel bot and storing them in a memory unit, A means of inputting the aforementioned job seeker information into an AI site and refining the job seeker's job search information using machine learning, A job placement support system characterized in that the aforementioned company personnel bot has means for acquiring the job seeker information from the job seeker bot and determining whether it matches the employment conditions, and means for transmitting the determination result to the job seeker terminal.

2. The employment support system according to claim 1, characterized in that it has means for defining the job seeker bot and the company representative bot in a virtual space and displaying them on the job seeker terminal while engaging in dialogue with them.

3. The employment support system according to claim 1, characterized in that the aforementioned job seeker information includes information such as the job seeker's skills, experience, and way of thinking.

4. The employment support system according to claim 1, characterized in that the job seeker bot can obtain information including the company's philosophy and salary from the company personnel bot.

5. The employment support system according to claim 1, characterized in that an educational site and a community site are connected in a way that enables communication.

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