Methods for supporting the creation of content for job candidates in corporate recruitment activities

Personalized content generation for job candidates using candidate and company data improves recruitment effectiveness by attracting and engaging applicants through a Direct Recruiting Room.

JP2026046023AActive Publication Date: 2026-03-13HRBRAIN CO LTD
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-08-30
Publication Date
2026-03-13

AI Technical Summary

Technical Problem

Existing recruitment methods lack personalization and fail to attract job applicants effectively during the selection and employment process.

Method used

A method that generates personalized content for job candidates based on candidate data, using a server terminal to refer to candidate and company data, and distributes it through a Direct Recruiting Room (DRR) via email links, updating content based on candidate interactions.

Benefits of technology

Enhances candidate attraction by providing personalized content tailored to individual interests and needs, increasing the likelihood of successful recruitment and onboarding.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides a method for generating content that can attract job candidates to recruiting companies during the selection and onboarding processes of the recruitment process. [Solution] In a content generation support system in which a server terminal, multiple candidate terminals, and multiple company terminals are connected via a network, a method for supporting the generation of content for candidates in a company's recruitment activities is as follows: The control unit of a server terminal having a control unit, a storage unit, and a communication unit refers to candidate data about candidates stored in the storage unit of the server terminal and generates personalized content for candidates based on the selection data.
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Description

Technical Field

[0004]

[0001] The present invention relates to a method for assisting in generating content for job applicants in a company's recruitment activities.

Background Art

[0002] In recruitment activities, means such as email and SNS are used as means of communication between the recruiters of a company seeking employees and job applicants.

[0003] For example, in Patent Document 1, a technique is disclosed in which a recruiter of a company seeking employees and a job applicant exchange messages through SNS.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, in the technique disclosed in Patent Document 1, in the selection and employment process of job applicants, it is characterized by providing necessary functions according to each scenario through a message application, but it is not personalized for each job applicant and does not provide content that can attract job applicants to the company seeking employees for selection and employment.

[0006] Therefore, an object of the present invention is to generate content that can attract job applicants to the company seeking employees in the process of selection and employment in recruitment activities.

Means for Solving the Problems

[0008] According to the present invention, it is possible to generate content that can attract job candidates to recruiting companies during the selection and onboarding processes of recruitment activities. [Brief explanation of the drawing]

[0009] [Figure 1] This is a block diagram showing a content generation support system for job candidates according to the first embodiment of the present invention. [Figure 2] Figure 1 is a functional block diagram showing the server terminal 100. [Figure 3] Figure 1 is a functional block diagram showing the candidate terminal 200. [Figure 4] This figure shows an example of candidate data stored in server 100. [Figure 5] This figure shows an example of corporate data stored on server 100. [Figure 6] This flowchart shows an example of the processing of a method for supporting the generation of content for job candidates according to the first embodiment of the present invention. [Figure 7] This flowchart shows an example of content for job candidates according to the first embodiment of the present invention. [Figure 8] This flowchart shows another example of content for job candidates according to the first embodiment of the present invention. [Figure 9] This flowchart shows another example of content for job candidates according to the first embodiment of the present invention. [Figure 10]This flowchart shows another example of content for job candidates according to the first embodiment of the present invention. [Modes for carrying out the invention]

[0010] Embodiments of the present invention will be described below with reference to the drawings. The embodiments described below are not intended to unduly limit the scope of the present invention as described in the claims. Furthermore, not all components shown in the embodiments are necessarily essential components of the present invention.

[0011] <Structure> Figure 1 is a block diagram showing a system that supports the generation of question data in a company's recruitment activities according to a first embodiment of the present invention. This system 1 includes, for example, a server terminal 100 that sends and receives predetermined information to multiple candidate terminals 200A and 200B of job candidates, candidate terminals 200A and 200B of job candidates, and corporate terminals 300A and 300B of the company conducting the recruitment activities. Here, each of the corporate terminals 300A and 300B can implement a program and execute the above-mentioned recruitment support method that is executed on the server terminal 100, or the server terminal 100 and the corporate terminals can cooperate via an API (Application Programming Interface) and execute a part of the above-mentioned recruitment support method on the server terminal 100 or the corporate terminal. For the sake of explanation, each terminal is described as a single or a specific number, but there is no limit to the number of each.

[0012] The server terminal 100, the candidate terminal 200A, 200B, and the enterprise terminals 300A, 300B are each connected via the network NW1. The network NW is composed of the Internet, intranet, wireless LAN (Local Area Network), WAN (Wide Area Network), etc. Further, the server terminal 100 is characterized by being connected via a network to a large language model (a natural language processing model trained using data obtained by vectorizing text data including a question sentence and an answer sentence and converted into a prescribed format, hereinafter referred to as "LLM").

[0013] The server terminal 100 and the enterprise terminals 300A, 300B may be general-purpose computers such as workstations and personal computers, or may be logically realized by cloud computing.

[0014] The candidate terminals 200A, 200B are information processing devices such as personal computers and tablet terminals, for example, but may be composed of smartphones, mobile phones, PDAs, etc.

[0015] In the present embodiment, the system 1 includes the server terminal 100, the candidate terminals 200A, 200B, and the enterprise terminals 300A, 300B, and will be described as a configuration in which the users of each terminal use their respective terminals to perform operations on the server terminal 100. However, the server terminal 100 may be configured as a stand-alone device and may be provided with a function for each user to directly perform operations thereon. Hereinafter, the candidate terminals 200A, 200B will be collectively referred to as the candidate terminal 200, and the enterprise terminals 300A, 300B will be collectively referred to as the enterprise terminal 300 as necessary.

[0016] FIG. 2 is a functional block configuration diagram of the server terminal 100 in FIG. 1. The server terminal 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

[0017] The communication unit 110 is a communication interface for communicating with the candidate terminal 200 and the enterprise terminal 300 via the network NW1, and communication is performed according to a communication protocol such as TCP / IP (Transmission Control Protocol / Internet Protocol).

[0018] The storage unit 120 stores programs for executing various control processes and each function in the control unit 130, input data, etc., and is composed of a RAM (Random Access Memory), a ROM (Read Only Memory), etc. Further, the storage unit 120 has a candidate data storage unit 121 for storing various data related to the employment candidate, and a company data storage unit 122 for storing various data related to the recruitment company that conducts the recruitment activity. Note that a database (not shown) storing various data may be constructed outside the storage unit 120 or the server terminal 100.

[0019] The control unit 130 controls the overall operation of the server terminal 100 by executing the programs stored in the storage unit 120, and is composed of a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), etc. As functions of the control unit 130, it has an information reception unit 13 1 that receives information from various terminals, and an information processing unit 132 that refers to and processes various data related to the employment candidate and various data related to the recruitment company that conducts the recruitment activity. The information reception unit 131 and the information processing unit 132 are activated by the programs stored in the storage unit 120 and executed by the server terminal 100 which is a computer (electronic computer).

[0020] The information reception unit 131 receives information from the candidate terminal 200 and the enterprise terminal 300 via the communication unit 110.

[0021] The information processing unit 132 refers to various data related to job candidates received from the job candidate terminal 200 (for example, candidate data 1000 described later) and various data related to recruiting companies received from the company terminal 200 (for example, company data 2000 described later), and performs predetermined processing.

[0022] Furthermore, the control unit 130 may also have a screen generation unit (not shown) that generates screen information to be displayed via the user interfaces of the candidate terminal 200 and the company terminal 300 as needed. For example, using image and text data (not shown) stored in the storage unit 120 as material, the user interface is generated by arranging various images and text in predetermined areas of the user interface according to predetermined layout rules. Processing related to the image generation unit can also be performed by a GPU (Graphics Processing Unit).

[0023] Figure 3 is a functional block diagram showing the candidate terminal 200 of Figure 1. The candidate terminal 200 comprises a communication unit 210, a display and operation unit 220, a storage unit 230, and a control unit 240.

[0024] The communication unit 210 is a communication interface for communicating with the server terminal 100 via the network NW, and communication is performed using a communication protocol such as TCP / IP.

[0025] The display operation unit 220 is a user interface used by job candidates to input instructions and display text, images, etc., in accordance with the input data from the control unit 240. If the job candidate terminal 200 is a personal computer, it consists of a display and a keyboard or mouse, and if the job candidate terminal 200 is a smartphone or tablet, it consists of a touch panel, etc. This display operation unit 220 is activated by a control program stored in the storage unit 230 and executed by the job candidate terminal 200, which is a computer (electronic calculator).

[0026] The memory unit 230 stores programs for executing various control processes and functions within the control unit 240, input data, etc., and is composed of RAM, ROM, etc. The memory unit 230 also temporarily stores the contents of communications with the server terminal 100.

[0027] The control unit 240 controls the overall operation of the candidate terminal 200 by executing a program stored in the memory unit 230, and is composed of a CPU, GPU, and the like.

[0028] Figure 4 shows an example of candidate data stored in the server terminal 100.

[0029] The candidate data 1000 shown in Figure 4 stores various data related to the candidate for employment. In Figure 4, for the sake of explanation, an example of one candidate (a user identified by candidate ID "10001") is shown, but information on multiple candidates can be stored. Various data related to the candidate can include, for example, basic information about the candidate (e.g., name, address, contact information, etc.). In addition, as selection data related to the selection of candidates, it can include academic information about the candidate's educational background, work history information about the candidate's work history, skills information about the candidate's skills and qualifications, annual income information about the candidate's annual income (including desired annual income), and information from the candidate's responses through the response items included in the step letter and offer letter (response items asking whether they wish to be selected or are interested, response items asking about their willingness to change jobs, response items asking about what they are interested in regarding the recruiting company, response items asking about the status of other applications, response items asking about their impression of the recruiting company, response items asking about their desired economic conditions, response items asking about the criteria the candidate uses to choose a job, and job postings. This includes, but is not limited to, the following: response items asking about the likelihood of joining the company when an offer is made, response items asking about topics to be discussed in subsequent interviews, response information regarding acceptance of the offer, items regarding whether the candidate has expressed their intention to resign to their current company, etc.; interview information regarding the candidate's interviews with the recruiting company during the hiring process (status, pass / fail status, interviewer / person involved, etc.); and letter information regarding step letters and offer letters addressed to the candidate (for example, the content of the letter (the above response items in the step letter or offer letter, etc.)). Here, a step letter is a letter from the company to a candidate at each stage of the selection process informing the candidate of the company's desire for them to move on to the next step. Its purpose is to provide positive feedback to the candidate in a minimal yet rich manner, foster the candidate's desire to change jobs to the recruiting company, and includes response items that allow the company to collect information necessary for attracting the candidate and designing the offer.An offer letter is a letter in which a recruiting company presents the terms of the offer, including financial conditions, when it decides to hire a candidate, and the offer is finalized when the candidate accepts it. In this embodiment, the offer letter is designed around the following points: 1) understanding the candidate (reasons for joining the current company, reasons for changing jobs, past job change motivations and decision-making criteria), 2) understanding the candidate's needs (confirmation of prerequisites (what aspects of our company interest them), future career plans and career vision and the reasons for them), 3) extracting attractive points (decision-making criteria for changing jobs, desired job type / position, etc.), 4) competition (existence and status of competitors, priority and advantages compared to competitors), 5) financial conditions (current annual salary, desired annual salary, lower limit of financial conditions), and 6) timing of job change (decision-making date, possible start date). This information is basically collected from the candidate through the aforementioned step letters. Furthermore, candidate data can also include information about content (articles, images, videos, etc. provided via web pages and / or email newsletters) distributed by the recruiting company to candidates during the recruitment process and to maintain contact with candidates afterward, as well as action data regarding candidates' behavior towards such content (views, likes, comments, etc.). In addition, candidate data can also include talent list information (a so-called talent pool) that stores information about candidates with a high degree of match with the company, associated with a score that measures the degree of match.

[0030] Figure 5 shows an example of corporate data stored on the server terminal 100.

[0031] Company Data 2000 primarily stores various data related to companies that conduct recruitment activities. While Figure 5 shows an example of a single company (identified by company ID "20001") for illustrative purposes, it can store information related to multiple companies. Various data related to a company include, for example, basic company information (company name, industry, number of employees, location (address), contact information, mission, evaluation system, welfare system, technical information, information on company recruitment (open positions, organization name, organizational information, start date, financial conditions, etc.)), interview information in the company's recruitment process (candidate name, status, interview content (start date, reason for joining, timing of job change, reason for changing jobs, etc.), pass / fail status, interviewer / person in charge, etc.), letter information regarding step letters and offer letters addressed to candidates (letter content (items in the step letter or offer letter to confirm the candidate's willingness to change jobs, items to confirm their intention to proceed to the next selection step, items to confirm the recruiting company's interests, items to avoid mismatches between the recruiting company and the candidate, etc.)), and candidate response information through response items included in step letters and offer letters (response items asking about their desire or interest in selection, response items asking about their willingness to change jobs, content of interest to the recruiting company). The information may include, but is not limited to, the following: response items to be asked, response items to be asked about the status of other applications, response items to be asked about the impression of the recruiting company, response items to be asked about desired economic conditions, response items to be asked about the criteria the candidate uses to choose a job, response items to be asked about the likelihood of joining the company if the recruiting company makes an offer, and response items to be asked about what the candidate would like to hear in subsequent interviews, response information regarding acceptance of the offer, and items regarding whether the candidate has expressed their intention to resign to their current employer, etc.; analytical information (response information by acceptance / rejection, analysis based on the above candidate response information (for example, comparison of response results for each step letter of a specific candidate, rejection rate based on the response results of multiple candidates, reasons for rejection, reasons for delay, comparison of each item with other companies, comparison of response content by acceptance / rejection, offer letter generation logic based on response results, etc.), sample comment information for generating various letters and interview handover notes, and sample content information for generating the above content distributed by the recruiting company to the candidate.

[0032] Figure 6 is a flowchart showing an example of the processing of a method for supporting the generation of content for job candidates in the recruitment activities of a recruiting company, according to the first embodiment of the present invention.

[0033] First, as part of step S101, the information processing unit 132 of the control unit 130 of the server terminal 100 refers to the candidate selection data in the candidate data storage unit 121 of the storage unit 120. Here, the selection data of the candidate data 1000 is as described above, but in particular, by referring to the candidate's 1) resume / CV and 2) responses to questionnaires via step letters, offer letters, etc., it is possible to determine the candidate's (desired or assigned) job type and department, intentions, and / or job-seeking activity status.

[0034] Next, as part of step S102, the information processing unit 132 of the control unit 130 of the server terminal 100 generates content for job candidates based on the candidate data referenced above. Here, the content includes information provided via a web page accessible to job candidates, which can be personalized according to the candidate's desired job type and department to which they will be assigned, serves as a touchpoint for continuous contact between the recruiting company and the candidate, and can be updated according to the candidate's intentions and job-seeking activity status. The medium through which such content is provided is also called a DRR (Direct Recruiting Room). The content can be distributed after the job candidate has accepted the offer letter and for onboarding before joining the company, and can also be distributed during the selection process for job candidates, including interns, to the recruiting company. Link information (URL) for accessing the content (web page) is attached to the body of emails such as offer letters and thank-you messages sent from the recruiting company terminal 300 to the job candidate terminal 200. When the job candidate selects this link information, the content is sent to the job candidate terminal 200 and displayed. Job candidates can bookmark (register) and view content provided by each company for candidates from multiple companies they are interested in applying to or joining. The information contained in the generated content is stored in the company data storage unit 122 of the storage unit 120 of the server terminal 100. In addition, bookmark (registration) information for accessing the content is also stored in the candidate data storage unit 121 of the storage unit 120.

[0035] The web pages accessed and displayed by the candidate terminal 200 are generated for each individual candidate, as shown in Figures 7 to 10. Along with the name of the recruiting company, tabs such as "Feed," "Team," "Events," and "Selection Information" are displayed, and candidates can view the information for each by selecting a tab. As shown in Figure 7, "Feed" displays information such as news about the recruiting company. Depending on the selection, it displays information for all registered users (candidates) who access the recruiting company's content (information about the entire company), and information for a specific user (candidate) (news related to the job type, department, and position (layer) the user desires or is assigned to). As shown in Figure 8, "Team" displays information about the members of the department the candidate desires or is assigned to. Also, as shown in Figure 9, "Events" displays events hosted by or related to the recruiting company, and the events displayed may vary depending on the job type or department the candidate desires or is assigned to. For example, for a candidate who desires to be an engineer, information about events for engineers will be displayed. Furthermore, as shown in Figure 10, "Selection Information" displays messages sent to the candidate from the recruiting company's representative or employees. During the selection process, thank-you messages after interviews may be sent and displayed, and during onboarding, messages regarding preparation for joining the company may be sent and displayed. In this way, the information processing unit 132 can provide content that enables centralized management of information related to "feeds," "teams," "events," and "selection information" on the DRR by accessing the DRR from the candidate terminal 200.

[0036] In this process, the information processing unit 132, depending on the data to be generated, sends a prompt message to the LLM 400, which is connected to the server terminal 100 via a network, instructing it to refer to the candidate selection data and generate a personalized web page for the target candidate based on template data stored as company data. It can also obtain a score from the LLM.

[0037] Next, as part of step S103, the information receiving unit 131 of the control unit 130 of the server terminal 100 acquires action data from the job candidate regarding the content. Actions included in the action data may include, for example, the number of times the job candidate has visited the DRR and content, the number of times they have viewed it, the viewing time, and the content they viewed (for example, any of "feed," "team," "event," or "selection information"), as well as behavioral information such as registering to participate in an event via the web page. The action data acquired by the information receiving unit 131 is stored in the candidate data storage unit 121 of the storage unit 120.

[0038] The information processing unit 132 refers to the acquired action data and updates the content based on the referenced action data. Here, the information processing unit 132 calculates a score according to the above action, and based on the score, determines the content that the candidate is interested in and their level of interest, and can change the displayed content or increase the update / distribution frequency. For example, if the candidate views a lot of event information for engineers, it can distribute relevant event information, or if they are actively viewing selection information, it can send a message requesting a casual interview. In addition, the information processing unit 132 can also distribute content to the candidate terminal 200 based on pre-set content and frequency / timing for distribution to the candidate, regardless of the score.

[0039] In this way, recruiting companies can generate personalized content tailored to each candidate based on their selection data, and by maintaining continuous contact with candidates, they can increase the likelihood of attracting those candidates.

[0040] Although embodiments of the invention have been described above, these can be implemented in various other forms, and can be carried out by various omissions, substitutions, and modifications. These embodiments and variations, as well as those with omissions, substitutions, and modifications, are included within the technical scope of the claims and their equivalents. [Explanation of Symbols]

[0041] 1 System: 100 Server terminals, 110 Communication unit, 120 Storage unit, 130 Control unit, 200 Candidate terminals, 300 Enterprise terminals, NW1 Network

Claims

1. A method to support the generation of content for job candidates in a company's recruitment activities, The control unit of the server terminal is: Referencing candidate data about job candidates stored in the storage unit of the server terminal, A method for generating personalized content for a candidate based on the candidate data.

2. The method according to claim 1, The candidate data includes information regarding the desired job type, department, and / or position to which the candidate will be assigned.

3. The method according to claim 1, The aforementioned content is provided via a web page.

4. The method according to claim 3, The control unit provides a method for obtaining action data from the job applicant on the web page.

5. The method according to claim 4, A method for updating the content based on the action data of the control unit.

6. A method according to claim 1, wherein the control unit provides content that enables centralized management of information contained in the content through access from the candidate terminal.

Citation Information

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