Job posting creation support system, job posting creation support server, program, and job posting creation support method
The job posting creation support system helps SMEs articulate their strengths by generating questions, analyzing responses, and presenting key points, enhancing the appeal of their job postings.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- PERSOL CAREER CO LTD
- Filing Date
- 2024-10-18
- Publication Date
- 2026-05-01
AI Technical Summary
Small and medium-sized enterprises (SMEs) face challenges in creating effective job postings due to a lack of full-time recruitment staff and information resources, making it difficult to articulate their company's strengths and differentiate themselves in the job market.
A job posting creation support system and server that generates questions for job seekers, acquires answers, analyzes attractiveness through stored relationship information, and presents points of interest to enhance job posting appeal.
Enables SMEs to easily create job postings that are more appealing to job seekers by highlighting attractive and unattractive aspects of their company, leveraging accumulated attractiveness information.
Smart Images

Figure 2026073722000001_ABST
Abstract
Description
Technical Field
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[0001] The present invention relates to a recruitment information creation support system, a recruitment information creation support server, a program, and a recruitment information creation support method.
Background Art
[0002] In recent years, recruitment matching services have been strengthening rapid talent matching and skill improvement support, and playing a role in efficiently connecting the needs of companies and job seekers. Recruitment website operating companies are strengthening comprehensive job change support that makes full use of digital technologies, such as improving matching accuracy using AI, providing an online interview function, and enriching skill-up support services.
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] By the way, in recent years' chronic labor shortage, small and medium-sized enterprises (SMEs) are also increasing their opportunities to use such recruitment matching services. In SMEs, there is often no full-time recruitment staff, making it difficult to select effective information for recruitment activities and lacking accumulated know-how.
[0005] For example, it is difficult to verbalize what is attractive and what is not attractive about a company itself with respect to the human resources (targets) sought by a recruiting company, and the recruitment notice may become a one-time notice. Also, when compared with competing recruitment companies, it is difficult to verbalize the potential attractiveness of the company itself and effectively appeal to it as a differentiating factor.
[0006] One of the reasons for this is the lack of information resources necessary to articulate the company's strengths, while acquiring such resources is prohibitively expensive. Even in conversations with recruitment consultants who help create job postings, the open-ended question of "what makes your company attractive?" is common, making it difficult to adequately articulate those strengths.
[0007] Therefore, this disclosure aims to provide a job posting creation support system, a job posting creation support server, a program, and a job posting creation support method that can easily create job postings that are appealing to job seekers. [Means for solving the problem]
[0008] The job posting creation support system according to the present invention comprises: a question generation unit that generates questions about job seekers; an answer acquisition unit that acquires answers to the questions; a storage unit that stores attractiveness relationship information including past job posting information of multiple job seekers and the job posting result information; an attractiveness analysis unit that proposes points of interest for the job seekers through analysis using the answers and the attractiveness relationship information; and an attractiveness presentation unit that outputs the points of interest for the job seekers.
[0009] The job posting creation support server according to the present invention comprises: a question generation unit that generates questions about job seekers; an answer acquisition unit that acquires answers to the questions; a storage unit that stores attractiveness relationship information including past job posting information of multiple job seekers and the job posting result information; an attractiveness analysis unit that proposes points of interest for the job seekers through analysis using the answers and the attractiveness relationship information; and an attractiveness presentation unit that outputs the points of interest for the job seekers.
[0010] Furthermore, the program according to the present invention is a program to be executed on a computer equipped with a storage unit that stores attractiveness relationship information including past job information of multiple job seekers and job result information, and includes a question generation step of generating questions about job seekers, an answer acquisition step of obtaining answers to the questions, an attractiveness analysis step of proposing points of interest for the job seekers by analyzing the answers and the attractiveness relationship information, and an attractiveness presentation step of outputting the points of interest for the job seekers.
[0011] The method for creating job postings according to the present invention is a method for creating job postings that is executed by a computer equipped with a storage unit that stores attractiveness relationship information including past job postings of multiple job seekers and the results of those job postings, and includes a question generation step of generating questions about job seekers, an answer acquisition step of acquiring answers to the questions, an attractiveness analysis step of proposing the job seeker's points of interest through analysis using the answers and the attractiveness relationship information, and an attractiveness presentation step of outputting the job seeker's points of interest. [Effects of the Invention]
[0012] According to this disclosure, it is possible to provide a job posting creation support system, a job posting creation support server, a program, and a job posting creation support method that can easily create job postings that are appealing to job seekers. [Brief explanation of the drawing]
[0013] [Figure 1] This is a schematic diagram showing a job posting creation support system according to an embodiment of the present invention. [Figure 2] This is a functional block diagram of a job posting creation support server according to an embodiment of the present invention. [Figure 3] This figure shows an example of information stored in the storage unit of a job posting creation support server according to an embodiment of the present invention. [Figure 4] This is a functional block diagram of a user terminal according to an embodiment of the present invention. [Figure 5] This figure shows a specific example of a screen for a job posting creation support service displayed on a user terminal according to an embodiment of the present invention. [Figure 6] The figure shows a specific example of a screen of a job information creation support service displayed on a user terminal according to an embodiment of the present invention. [Figure 7] The figure shows a specific example of a screen of a job information creation support service displayed on a user terminal according to an embodiment of the present invention. [Figure 8] The figure shows a specific example of a screen of a job information creation support service displayed on a user terminal according to an embodiment of the present invention. [Figure 9] The flowchart shows the job information creation support process by the job information creation support system according to an embodiment of the present invention. [Figure 10] The block diagram shows the basic configuration of a computer.
Mode for Carrying Out the Invention
[0014] Hereinafter, the job information creation support system 1 according to an embodiment of the present invention will be described with reference to the drawings. In all the drawings for explaining the embodiment, the same reference numerals are given to common components, and repeated explanations are omitted.
[0015] <System Configuration> FIG. 1 is a schematic diagram showing a job information creation support system 1 according to an embodiment of the present invention.
[0016] The job information creation support system 1 includes a job information creation support server 100, a plurality of user terminals 200 (200(1), 200(2),..., 200(N)), and a generation AI 300. The job information creation support server 100, the user terminal 200, and the generation AI 300 are connected to a network NW and can communicate with each other via the network NW. The network NW includes the Internet. The network NW may include a LAN (Local Area Network) and / or a WAN (Wide Area Network).
[0017] The job information creation support server 100, the user terminal 200, and the generation AI 300 are each composed of one or more computers 900. The basic configuration of the computer 900 will be described later.
[0018] FIG. 2 is a functional block diagram of the job information creation support server 100 according to an embodiment of the present invention. The job information creation support server 100 includes a communication unit 110, a storage unit 120, and a processing unit 130. The job information creation support server 100 is a server that provides a job information creation support service for assisting a plurality of users who access via the network NW in creating job information such as job application forms. The users of the job information creation support service are job providers, such as companies, corporations, legal persons, and the like.
[0019] The communication unit 110 is a network interface and communicates with the user terminal 200 and the generation AI 300 via the network NW. The communication unit 110 passes the data received from the user terminal 200 or the generation AI 300 to the processing unit 130, and transmits the data generated by the processing unit 130 to the user terminal 200 and / or the generation AI 300.
[0020] The storage unit 120 is configured using a storage device such as a magnetic hard disk or a semiconductor storage device. The storage unit 120 stores an application program 121, a database 122, and a learning model 123. The application program 121 is executed by the processing unit 130 and is mainly a program for realizing each functional unit of the processing unit 130. The database 122 includes a job provider information database (hereinafter referred to as the job provider information DB) and an attractiveness relationship information database (hereinafter referred to as the attractiveness relationship information DB). The learning model 123 is a model that has learned attractiveness relationship information. Specifically, it is a model that has learned the correlation between the plurality of past job application form information of a plurality of job providers and their job result information. Specifically, for example, the learning model 123 is a model that has learned the relationship between past job application form information and the persona by job type of the applicants included in their job result information. Note that an applicant is a job seeker who has applied for the job application form among job seekers.
[0021] Figure 3 shows an example of information stored in the database 122 of the job information creation support server 100 according to an embodiment of the present invention.
[0022] As shown in Figure 3, the database 122 includes at least a job seeker information database and an attractiveness relationship information database.
[0023] The Job Posting Information Database is a database that manages job posting information for each job posting support service user. Job posting information includes job posting information and general information. Job posting information includes job description information, applicant persona, question and answer information, and key factors, and is managed for each job posting. General information is general information about the job posting's business activities; for example, if the job posting is a company, it would include registration information and company information posted on the company's website.
[0024] The job posting information includes the employer's business description, the job description, and the employer's and / or the job's selling points. The job posting information is obtained by the job posting support server 100 from the information entered by the employer into the user terminal 200.
[0025] An applicant persona includes a presented applicant persona and a selected applicant persona. The presented applicant persona is the applicant persona information generated by the job posting creation support server 100 and presented to the employer. There may be multiple presented applicant personas. The selected applicant persona is the applicant persona information selected by the employer from among the presented applicant personas.
[0026] The question and answer information includes question information and answer information. The question information is information generated by the job posting creation support server 100 and presented to the job seeker. The answer information is information indicating the content of the answer that the job seeker entered into the user terminal 200 in response to the question information.
[0027] The focus elements include both positive and negative elements. The focus elements are information generated by the job posting creation support server 100 and presented to the job seeker. The focus elements are information proposed by the job posting creation support server 100 based on the selected applicant persona. Positive elements are those that increase the motivation to apply for the job, such as those that the selected applicant persona finds attractive, important, or interesting. Negative elements are the opposite, such as those that the selected applicant persona finds undesirable, thus decreasing the motivation to apply for the job.
[0028] The Attractiveness Relationship Database is a database that manages attractiveness relationship information for multiple employers using the job posting creation support service, linking past job posting information with the results of their job postings. The content of past job posting information is the same as the job posting information in the Employer Information Database. The job posting results information includes applicant information regarding applicants and their hiring results. The applicant information includes information that shows the applicant's profile (persona), and / or information that allows for inference of the applicant's profile (persona).
[0029] Returning to Figure 2, we will continue the explanation of the processing unit 130 of the job posting creation support server 100. The processing unit 130 comprises, as functional units, a job posting acquisition unit 131, a job posting analysis unit 132, a question generation unit 133, an answer acquisition unit 134, an attractiveness analysis unit 135, a persona presentation unit 136, and an attractiveness presentation unit 137. The processing unit 130 realizes each of these functional units by executing the application program 121 stored in the memory unit 120, and executes each of the processes of the job posting creation support process described later. Details of the job posting creation support process will be described later.
[0030] The job information acquisition unit 131 acquires job information from the job seeker from the user terminal 200. The job information includes the job application form of the job seeker.
[0031] The job information analysis unit 132 analyzes the job information of job seekers acquired by the job information acquisition unit 131 and generates an applicant persona (presented applicant persona) to be presented to the job seeker. A persona can be rephrased as a character profile, and an applicant persona is a hypothetical character profile of an applicant (target applicant) who is expected to be the target of the job posting. The applicant persona contains information indicating basic information, the target applicant's needs, behavioral patterns, goals, and challenges. Specifically, for example, the applicant persona may contain information indicating basic information such as age, gender, work history, family structure, place of origin, and place of residence; background information such as education level, career, and living environment; goals and objectives to be achieved in work and life; needs such as expectations and demands for work; challenges such as problems and difficulties faced; behavioral patterns such as daily actions and habits; motivation for work; and values such as important values and beliefs. The job information analysis unit 132 may generate the presented applicant persona using the learning model 123.
[0032] The question generation unit 133 generates question information about the job seeker and sends it to the user terminal 200.
[0033] The question generation unit 133 may generate question information about the job seeker based on the applicant persona.
[0034] The question generation unit 133 may generate closed-question questions regarding job seekers or job information. A closed-question is a question that can be answered with "yes / no" or with specific choices, such as "Does your company allow remote work?" On the other hand, an open-question is a question that can be answered freely and elicits detailed information, such as "What support systems does your company have for employees with young children?"
[0035] The question generation unit 133 may collaborate with the API (Application Programming Interface) of the generation AI 300 provided by an external provider and generate question information using the generation AI 300. Alternatively, the question generation unit 133 may generate an instruction statement for the generation AI 300 to refer to the applicant persona and job posting information, and then generate the question information by instructing the generation AI using this instruction statement.
[0036] The response acquisition unit 134 acquires the respondent information from the job seeker to the question information sent to the user terminal 200 from the user terminal 200.
[0037] The attractiveness analysis unit 135 proposes focus elements related to the employer and / or job information by analyzing the employer's response information obtained by the response acquisition unit 134 and the attractiveness relationship information from the memory unit 120. The focus elements include at least one of the employer's organization, culture, and business content, and / or at least one of the job description and compensation of the job information.
[0038] The attractiveness analysis unit 135 may propose "positive focus factors" and "negative focus factors" for job seekers.
[0039] The appeal analysis unit 135 may further suggest elements to focus on based on the applicant persona.
[0040] The persona display unit 136 displays the applicant personas generated by the job information analysis unit 132 on the job seeker's user terminal 200.
[0041] The persona presentation unit 136 may obtain one applicant persona selected by the user from among the multiple applicant personas presented to the user (presented applicant personas) (selected applicant persona).
[0042] If the job information analysis unit 132 generates multiple applicant personas, the persona presentation unit 136 may calculate the similarity of the applicant personas, group those with a predetermined similarity range, and present a representative of each group. In other words, it may prioritize presenting applicant personas of different types to job seekers.
[0043] The attractiveness display unit 137 displays the elements that job seekers focus on, as suggested by the attractiveness analysis unit 135, on the job seeker's user terminal 200.
[0044] Figure 4 is a functional block diagram of a user terminal 200 according to an embodiment of the present invention. The user terminal 200 comprises a communication unit 210, a storage unit 220, a control unit 230, a display unit 240, and an operation unit 250. The communication unit 210, storage unit 220, control unit 230, display unit 240, and operation unit 250 are electrically connected to each other via a communication bus 260. The user terminal 200 is, for example, a smartphone, a tablet terminal, or a PC.
[0045] The Generative AI 300 is a Generative AI provided by an external provider separate from the operator of Server 100, and is a Large Language Model (LLM) capable of text generation such as conversation, writing, summarizing, translation, information retrieval and collection, and programming. The Generative AI is a technology that, when an instruction sentence (prompt) is input, uses artificial intelligence learned from a vast amount of existing information to output a response that is in line with the context of the instruction sentence. Furthermore, the Generative AI can accept input in a conversational format in real time and interactively, and generate and output output. In this embodiment, Server 100 uses the Generative AI 300 in conjunction with its API (Application Programming Interface), but Server 100 may also use a Generative AI that it has independently built internally.
[0046] <Screen example> Next, we will explain an example of the screen for the job posting creation support service provided by the job posting creation support server 100.
[0047] Figures 5, 6, 7, and 8 show screens D100, D200, D300, and D400 of the job posting creation support service displayed on a user terminal 200 according to an embodiment of the present invention.
[0048] The screen D100 shown in Figure 5 is an interface for job seekers to input job details. Screen D100 has a title area D110 that displays the screen's title, three input areas D121, D122, and D133 for entering job details, and a button area D130 for confirming and submitting the input. The title area D110 contains the text "Job Information Creation Support Tool". Above input area D121 is the text "Enter Business Details", above input area D122 is the text "Enter Job Description", and above input area D123 is the text "Enter Points You Absolutely Want to Highlight". The button area D130 contains the text "Create Applicant Persona with Input Details".
[0049] The recruiter enters the business description, job description, and selling points as job posting information in the input areas D121, D122, and D123 of the screen D100 displayed on the user terminal 200, and then selects (clicks or taps) the button area D130 to send the entered information to the job posting support server 100.
[0050] The screen D200 shown in Figure 6 is an interface that presents applicant personas to job seekers. Screen D200 is displayed on the user terminal 200 after selecting (clicking or tapping) the button area D130 on screen D100. Screen D200 displays two example applicant personas (Persona #1 and Persona #2).
[0051] Screen D200 contains a title area D210 that displays the screen title, an identifier area D221 and a description area D222 related to the first applicant persona (Persona #1), an identifier area D231 and a description area D232 related to the second applicant persona (Persona #2), and a button area D240 for confirming and submitting the selection.
[0052] The title area D210 contains the string "Applicant Persona".
[0053] The identifier area D221 contains the string "Persona #1," which represents the first proposed applicant persona. The description area D222 contains the icon D223, the description area D224, and the checkbox D225. The icon D223 contains an icon, illustration, or photograph that visualizes the personality of the first proposed applicant persona. The description area D224 contains a string that verbalizes the personality of the first proposed applicant persona. In the example in Figure 6, the strings "Mr. A, resident of Nagoya City," "Likes BBB," "Not good at CCC," "Happiest when told DDD," "Gets along well with EEE people," and "Interested in FFF things" are placed there. The strings that verbalize the personality of the proposed applicant persona are not limited to these. The checkbox D225 has the function of accepting selection input of the proposed applicant persona from the job seeker. In the example in Figure 6, it shows the state where no selection has been made.
[0054] The identifier area D231 contains the string "Persona #2," which indicates the second applicant persona. The description area D232 contains icon D233, description area D234, and checkbox D235. Icon D233 contains an icon, illustration, or photograph that visualizes the second applicant persona. Description area D234 contains a string that verbalizes the second applicant persona's characteristics. In the example in Figure 6, the strings "Mr. S, resident of Nagoya City," "Likes TTT," "Not good at UUU," "Happiest when called VVV," "Gets along well with WWW people," and "Interested in XXX" are placed there. The strings that verbalize the applicant persona's characteristics are not limited to these. Checkbox D235 has the function of accepting selection input of the applicant persona from the job seeker. In the example in Figure 6, it shows the selected state.
[0055] The button area D240 displays the text "Determine applicant persona".
[0056] The recruiter selects (clicks or taps) one of the applicant personas to be used for analysis using the checkboxes D225 and D235 on screen D200 displayed on the user terminal 200, and then selects (clicks or taps) the button area D240 to send the selected applicant persona (selected applicant persona) to the job information creation support server 100.
[0057] The screen D300 shown in Figure 7 is an interface that presents employers with questions created based on the applicant persona selected by the employer (selected applicant persona) and obtains responses from the employer. Screen D300 is displayed on the user terminal 200 after the applicant persona is selected on screen D200 and the button area D240 is selected (clicked or tapped).
[0058] Screen D300 includes a title area D310 that displays the screen title, a name area D321 and a description area D322 related to the selected applicant persona, a question answer area D330, and a button area D340 for confirming and submitting the answers.
[0059] The title area D310 displays the string "Questions regarding this job posting".
[0060] The name field D321 contains the string "Selected Persona". The description field D322 is the same as the description field D232 in Figure 6, so its description is omitted.
[0061] The question answer area D330 is an area where one or more pairs of question display areas for displaying question information and answer input areas for entering answer information for that question are displayed. In Figure 7, screen D30 shows an example where two pieces of question information are presented. Specifically, screen D300 has a question display area D331a and answer input area D331b for the first piece of question information, and a question display area D332a and answer input area D332b for the second piece of question information.
[0062] Question display area D331a shows the string "Q1: Is there a strong intention for this position to involve many projects?" as an example of the first question. Question display area D332a shows the string "Q2: Are there any points that make you different from other members of the same team?" as an example of the second question.
[0063] The button area D340 displays the text "Submit response".
[0064] The recruiter enters their response information into the response input areas D331b and D332b on screen D300 displayed on the user terminal 200, and then selects (clicks or taps) the button area D340 to send the entered information to the job information creation support server 100. Figure 7 shows examples of input for each response input area D331b and D332b. Specifically, in response input area D331b, an example of response information to the first question is entered as, "No, you will receive a higher evaluation if you have completed more projects than if you have many projects to handle. The ability to determine which projects can be completed quickly in terms of timeline will be important." In response input area D332b, an example of response information to the second question is entered as, "Yes, we do. Until now, we have only hired transferees from the same industry, but this time we are looking to hire someone from a different industry. The reason is xxxx. The fact that they are not from the industry is the most unusual point this time."
[0065] The screen D400 shown in Figure 8 is an interface that presents job seekers with elements to focus on. Screen D400 is displayed on the user terminal 200 after the response information is entered on screen D300, the button area D340 is selected (clicked or tapped), and the response information is sent to the job information creation support server 100.
[0066] Screen D400 contains a title area D410 that displays the screen's title, a name area D421 and a description area D422 related to the selected applicant persona, a focus element display area D430, and a button area D440 for closing the screen.
[0067] The title area D410 displays the text "Suggestions for improving this job posting."
[0068] Since the name area D421 and description area 422 are the same as the name area 321 and description area 322 in Figure 7, their descriptions are omitted.
[0069] The focus element presentation area D430 is an area where one or more focus elements related to the job posting information of the job seeker are displayed. In Figure 8, screen D400 shows an example where two focus elements are presented. Specifically, screen D400 has an explanation area D431 for the first focus element and an explanation area D432 for the second focus element.
[0070] Above the description area D431 is the text "Point 1 that your company should highlight to this persona," and inside the description area D431 is an example of the text "There is an opportunity to reflect domain knowledge from the XX industry and the YY industry in product planning! The XX industry in particular is a high priority strategically going forward, and the longer your industry experience, the better. There are no people from the XX industry in the current organization, so you can be the first frontrunner." Above the description area D432 is the text "Point 2 that your company should highlight to this persona," and inside the description area D432 is an example of the text "We have a culture and organizational climate of 'Done is better than perfect.' Usually, in other companies, the amount of projects completed is what is evaluated for this position, but in our organization, the number of completed projects is directly linked to evaluation. The ability to finish is valued more than the ability to multitask."
[0071] The button area D440 displays the text "Close".
[0072] Employers can use the focus elements and their explanations displayed on screen D400 on the user terminal 200 to modify or add to the content of their job posting (job description), which can be edited on another screen (not shown), making the job posting more appealing to their target audience.
[0073] <System Operation> Next, the operation of the job posting creation support process of the job posting creation support system 1, which has the configuration and functions described above, will be explained using a flowchart. The job posting creation support process is a series of processes including a job posting acquisition process, a job posting analysis process, a persona presentation process, a persona determination process, a question generation process, an answer acquisition process, an attractiveness analysis process, and an attractiveness presentation process. In the following explanation, the user will be described as recruiter A using user terminal 200(1), but the same applies to other combinations of recruiters and user terminal 200.
[0074] Figure 9 is a flowchart showing the job information creation support process by the job information creation support system 1 according to an embodiment of the present invention.
[0075] In step S101, the user terminal 200(1) receives job posting information from recruiter A and sends the job posting information to the job posting creation support server 100.
[0076] In step S102, the job information acquisition unit 131 of the job information creation support server 100 acquires job posting information from the user terminal 200(1) (job information acquisition process).
[0077] In step S103, the job information analysis unit 132 of the job information creation support server 100 analyzes the job posting information acquired in step S102 and generates one or more applicant personas (job information analysis step). The job information analysis unit 132 stores the generated applicant personas as presented applicant personas in the storage unit 120.
[0078] In step S104, the persona presentation unit 136 of the job information creation support server 100 presents (displays) one or more applicant personas generated in step S103 to the user terminal 200(1) (persona presentation step).
[0079] In step S105, the user terminal 200(1) obtains the selection input of one applicant persona from recruiter A for the one or more applicant personas displayed, and sends the applicant persona selected by recruiter A to the job information creation support server 100 as the selected applicant persona. If there is only one applicant persona, the user may be asked for "confirmation" instead of recruiter A making a selection.
[0080] In step S106, the persona presentation unit 136 of the job information creation support server 100 acquires the selected applicant persona from the user terminal 200(1) (persona determination step). The persona presentation unit 136 stores the acquired selected applicant persona in the storage unit 120.
[0081] In step S107, the question generation unit 133 of the job posting support server 100 performs analysis using the job posting information of employer A obtained in step S102, the selected applicant persona obtained in step S106, and the attractiveness relationship information from the memory unit 120, and generates question information for employer A based on the analysis results (question generation process). The question generation unit 133 then transmits the generated question information to the user terminal 200(1). The user terminal 200(1) receives and displays the questions generated by the question generation unit 133.
[0082] In step S108, the user terminal 200(1) receives input of the recruiter A's answer information to the question received in step S107 and transmits the answer information to the job information creation support server 100.
[0083] In step S109, the response acquisition unit 134 of the job information creation support server 100 acquires the response information of job seeker A that was sent by user terminal 200(1) in step S108 (response acquisition step). The response acquisition unit 134 stores the combination of the question information generated in step S107 and the response information acquired in step S108 corresponding to that question in the question answer information of the storage unit 120.
[0084] In step S110, the attractiveness analysis unit 135 of the job posting creation support server 100 proposes points of interest for job seeker A based on the response information of job seeker A obtained in step S109, the selected applicant persona obtained in step S106, and the attractiveness relationship information from the memory unit 129 (attractiveness analysis step). The attractiveness analysis unit 135 stores the proposed points of interest in the memory unit 120.
[0085] In step S111, the attractiveness presentation unit 137 of the job information creation support server 100 transmits the attractiveness elements of job seeker A proposed in step S110 to the user terminal 200(1) (attractiveness presentation step).
[0086] In step S112, the user terminal 200(1) displays the received element of interest.
[0087] Furthermore, the above-described operation flows can be performed not only independently but also in combination of two or more operation flows. For example, some steps of one operation flow may be added to another operation flow, or some steps of one operation flow may be replaced with some steps of another operation flow. It is not necessary to execute all steps in each flow; only some steps may be executed. In addition, the order of steps in each flow may be changed as appropriate.
[0088] <Basic Computer Configuration> Figure 10 is a block diagram showing the basic hardware configuration of computer 900. Computer 900 includes a control unit 901, a storage unit 902, a communication unit 903, an input unit 904, and an output unit 905. The control unit 901, storage unit 902, communication unit 903, input unit 904, and output unit 905 are electrically connected to each other via a communication bus 910.
[0089] The control unit 901 includes a CPU (Central Processing Unit, also called a processor) and controls various parts of the computer 900, as well as reading and executing various programs stored in the storage unit 902.
[0090] The memory unit 902 includes a main memory such as DRAM (Dynamic Random Access Memory) and an auxiliary memory such as a hard disk, and is a device that stores various programs for running the operating system and various applications of the computer 900, as well as data used by these programs. The process shown in the flowchart above is realized by the control unit 901 of each computer constituting the job information creation support server 100, the user terminal 200, and the generation AI 300 executing the programs stored in their respective memory units 902.
[0091] The communication unit 903 is a device for communicating with external devices and sends and receives data according to the instructions of the control unit 901. Each computer that makes up the job information creation support server 100, user terminal 200, and generation AI 300 uses this communication unit 903 to communicate with other devices, including the network NW shown in Figure 1.
[0092] The input unit 904 is a device that receives input from an external source and supplies it to the control unit 901, and includes, for example, a keyboard, mouse, touch panel, and camera. The output unit 905 is a device that outputs the processing results of the control unit 901 to the outside, and includes, for example, a display and speaker. <Program> Here, we will describe the programs for realizing each functional unit of the job posting creation support server 100 according to this embodiment.
[0093] The job posting creation support server 100 is implemented on the computer 900. The operation of each component of the job posting creation support server 100 is stored in the auxiliary storage device of the storage unit 902 in the form of a program. The control unit 901 reads the program from the auxiliary storage device of the storage unit 902, expands it into the main memory of the storage unit 902, and executes the above processing according to the program. The control unit 901 also reserves a storage area in the main memory of the storage unit 902 corresponding to the storage unit 120 described above, according to the program.
[0094] Specifically, the program is a program to be executed by a computer 900 which is equipped with a processor and a memory unit, wherein the memory unit stores attractiveness relationship information including past job posting information of multiple job seekers and job posting result information, and the program is a program that causes the computer to execute a question generation step of generating questions about job seekers, an answer acquisition step of obtaining answers to the questions, an attractiveness analysis step of proposing points of interest for the job seekers by analyzing the answers and the attractiveness relationship information, and an attractiveness presentation step of outputting the points of interest for the job seekers.
[0095] The auxiliary storage device of the memory unit 902 is an example of a tangible medium that is not temporary. Other examples of tangible mediums that are not temporary include magnetic disks, magneto-optical disks, CD-ROMs, DVD-ROMs, and semiconductor memory connected via the input unit 904. Furthermore, if this program is distributed to the computer 900 via the network NW, the computer 900 that receives the program may load it into the main memory of the memory unit 902 and execute the above processing.
[0096] Furthermore, the program may be intended to implement some of the functions described above. In addition, the program may be a so-called differential file (differential program) that implements the functions described above in combination with other programs already stored in the auxiliary storage device of the memory unit 902.
[0097] According to the job posting creation support system 1 of this embodiment described above, it is possible to easily create job postings that are appealing to job seekers. Even recruiters who struggle to articulate their company's strengths can, by answering a few questions, discover aspects of their job that might be attractive or unattractive to their target applicants—points they might not have noticed themselves, such as the characteristics of their job role or how they compare to competitors. This provides them with the material to create more appealing job postings for their target applicants.
[0098] Furthermore, the present invention is not limited to the embodiments described above, and various modifications can be adopted.
[0099] For example, in the above embodiment, when the job posting creation support server 100 generates and presents multiple applicant personas, the job posting creation support server 100 only accepted the selection of one of the applicant personas from the employer. However, it may accept multiple selections and perform analysis processing using each of the selected applicant personas.
[0100] Furthermore, in the above embodiment, the generation AI 300 was used in conjunction with the API (Application Programming Interface) of an external provider, but a standalone generation AI may also be installed on the job information creation support server 100.
[0101] Furthermore, the job information analysis unit 132 may generate applicant personas using the learning model 123 and the generating AI 300.
[0102] (Note) The features of the above-described embodiment are noted below. (Note 1) A question generation unit that generates questions about job applicants, An answer acquisition unit that obtains the answer to the aforementioned question, A memory unit that stores attractiveness relationship information including past job postings from multiple job seekers and their job posting results, Based on the aforementioned response and the analysis using the aforementioned attractiveness relationship information, the attractiveness analysis unit proposes the elements that the job seeker is interested in, An attractiveness display unit that outputs the aforementioned focus elements of the job seeker. Equipped with, Job posting creation support system. This allows recruiters who struggle to articulate their company's strengths to discover, by answering a few questions, points that might be attractive or unattractive to their target applicants—points they might not have noticed themselves. These discovered points can then be used to refine the job posting. (Note 2) A job information acquisition unit that acquires job information from the aforementioned employer, A job information analysis unit analyzes the job information of the aforementioned employers to generate applicant personas, A persona presentation unit that presents the aforementioned applicant persona, Furthermore, The question generation unit generates the question based on the applicant persona. The job posting creation support system described in Appendix 1. This allows for a concrete representation of the target candidate derived from the job posting, enabling a comparison with the target candidate profile that the employer has in mind, which tends to be unclear in the early stages of creating the job posting. This makes it easier to identify the target candidate. (Note 3) The attractiveness analysis unit proposes the aforementioned focus elements of the job seeker based on the analysis of the aforementioned responses, the aforementioned applicant persona, and the aforementioned attractiveness relationship information. The job posting creation support system described in Appendix 2. This allows employers to suggest key points for recruiters based on a hypothetical target profile derived from job postings. (Note 4) The attractiveness analysis unit proposes the positive and / or negative focus elements of the job seeker. A job posting creation support system as described in any of the appendices 1 to 3. This allows us to suggest attractive and / or unattractive points of job seekers based on a hypothetical target profile derived from the job posting. (Note 5) The aforementioned focus elements relate to at least one of the following: the organization, culture, and business content of the recruiter. A job posting creation support system as described in any of the appendices 1 to 4. This allows you to suggest specific attractive points and / or negative points. (Note 6) The aforementioned focus element relates to at least one of the job description or compensation information of the job posting, A job posting creation support system as described in any of the appendices 1 to 5. This allows you to suggest specific attractive points and / or negative points. (Note 7) The aforementioned job information analysis unit generates multiple applicant personas and presents them to the employers. The persona presentation unit receives a selection from the recruiter for one of the multiple applicant personas presented. The job posting creation support system described in Appendix 2. This allows for the analysis of appeal using a more appropriate applicant persona. (Note 8) The above question is generated by a generative AI. A job posting creation support system as described in any of the appendices 1 through 7. This allows the generating AI to create more natural and accurate questions using what it has learned on a daily basis. (Note 9) The memory unit includes a learning model that has learned the relationship between the past job postings and the job-specific personas of applicants included in the job posting results information. The job information analysis unit generates the applicant persona using the job information of the employer and the learning model. The job posting creation support system described in Appendix 2. This makes it easier for operators of job posting generation support services to make proposals that leverage the attractiveness-related information they have accumulated over many years. (Note 10) The above question is a closed question. A job posting creation support system as described in any of the appendices 1 through 9. This reduces the burden on employers in entering their responses. (Note 11) A question generation unit that generates questions about job applicants, An answer acquisition unit that obtains the answer to the aforementioned question, A memory unit that stores attractiveness relationship information including past job postings from multiple job seekers and their job posting results, Based on the aforementioned response and the analysis using the aforementioned attractiveness relationship information, the attractiveness analysis unit proposes the elements that the job seeker is interested in, An attractiveness display unit that outputs the aforementioned focus elements of the job seeker. Equipped with, Job posting creation support server. (Note 12) A program to be executed on a computer equipped with a memory unit that stores attractiveness relationship information including past job postings and job posting results information of multiple job seekers, A question generation process that generates questions about job seekers, The process of obtaining answers to the aforementioned questions, An attractiveness analysis process that proposes the elements of focus for the job seeker based on the aforementioned response and the attractiveness relationship information, An attractive presentation process that outputs the aforementioned focus elements of the job seeker, A program that includes this. (Note 13) A method for creating job postings, which is executed by a computer equipped with a memory unit that stores attractiveness relationship information including past job postings from multiple job seekers and their job posting results, A question generation process that generates questions about job seekers, The process of obtaining answers to the aforementioned questions, An attractiveness analysis process that proposes the elements of focus for the job seeker based on the aforementioned response and the attractiveness relationship information, An attractive presentation process that outputs the aforementioned focus elements of the job seeker, A method for supporting the creation of job postings, including the creation of such postings. [Explanation of Symbols]
[0103] 1: Job posting creation support system 100: Job posting creation support server 110: Communications Department 120: Storage section 130: Processing Unit 131: Job Information Acquisition Department 132: Recruitment information analysis department 133: Question generation section 134: Answer acquisition part 135: Attraction analysis department 136: Persona Presentation Section 137: Attraction presentation department 200: User terminal D100, D200, D300, D400: Screen NW: Network
Claims
1. A question generation unit that generates questions about job applicants, An answer acquisition unit that obtains the answer to the aforementioned question, A memory unit that stores attractiveness relationship information including past job postings from multiple job seekers and their job posting results, Based on the aforementioned response and the analysis using the aforementioned attractiveness relationship information, the attractiveness analysis unit proposes the elements that the job seeker is interested in, An attractiveness display unit that outputs the aforementioned focus elements of the job seeker. Equipped with, Job posting creation support system.
2. A job information acquisition unit that acquires job information from the aforementioned employer, A job information analysis unit analyzes the job information of the aforementioned employers to generate applicant personas, A persona presentation unit that presents the aforementioned applicant persona, Furthermore, The question generation unit generates the question based on the applicant persona. A job posting creation support system according to claim 1.
3. The attractiveness analysis unit proposes the aforementioned focus elements of the job seeker based on the analysis of the aforementioned responses, the aforementioned applicant persona, and the aforementioned attractiveness relationship information. The job posting creation support system according to claim 2.
4. The attractiveness analysis unit proposes the positive and / or negative focus elements of the job seeker. A job posting creation support system according to claim 1.
5. The aforementioned focus elements relate to at least one of the following: the organization, culture, and business content of the recruiter. A job posting creation support system according to claim 1.
6. The aforementioned focus element relates to at least one of the job description or compensation information of the job posting, A job posting creation support system according to claim 1.
7. The aforementioned job information analysis unit generates multiple applicant personas and presents them to the employers. The persona presentation unit receives a selection from the recruiter for one of the multiple applicant personas presented. The job posting creation support system according to claim 2.
8. The above question is generated by a generative AI. A job posting creation support system according to claim 1.
9. The memory unit includes a learning model that has learned the relationship between the past job postings and the job-specific personas of applicants included in the job posting results information. The job information analysis unit generates the applicant persona using the job information of the employer and the learning model. The job posting creation support system according to claim 2.
10. The above question is a closed question. A job posting creation support system according to claim 1.
11. A question generation unit that generates questions about job applicants, An answer acquisition unit that obtains the answer to the aforementioned question, A memory unit that stores attractiveness relationship information including past job postings from multiple job seekers and their job posting results, Based on the aforementioned response and the analysis using the aforementioned attractiveness relationship information, the attractiveness analysis unit proposes the elements that the job seeker is interested in, An attractiveness display unit that outputs the aforementioned focus elements of the job seeker. Equipped with, Job posting creation support server.
12. A program to be executed on a computer equipped with a memory unit that stores attractiveness relationship information including past job postings and job posting results information of multiple job seekers, A question generation process that generates questions about job seekers, The process of obtaining answers to the aforementioned questions, An attractiveness analysis process that proposes the elements of focus for the job seeker based on the aforementioned response and the attractiveness relationship information, An attractive presentation process that outputs the aforementioned focus elements of the job seeker, A program that includes this.
13. A method for creating job postings, which is executed by a computer equipped with a memory unit that stores attractiveness relationship information including past job postings from multiple job seekers and their job posting results, A question generation process that generates questions about job seekers, The process of obtaining answers to the aforementioned questions, An attractiveness analysis process that proposes the elements of focus for the job seeker based on the aforementioned response and the attractiveness relationship information, An attractive presentation process that outputs the aforementioned focus elements of the job seeker, A method for supporting the creation of job postings, including the creation of such postings.
Citation Information
Patent Citations
Information processing device, information processing method and program
JP2023104489A