Recruitment support device and recruitment support method

Abstract

To provide a recruitment support device and recruitment support method, each enabling a job seeker to be appropriately recruited.SOLUTION: A recruitment support device comprises: a management unit managing profile information of job seekers; an output unit outputting an editing interface for use in editing of job recruitment data relating to human resources required by a recruiter; and a control unit identifying the number of job seekers matching the job recruitment data based on edited contents of the job recruitment data and the profile information of the job seekers, wherein the output unit outputs the number of job seekers along with the editing interface.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a recruitment support device and a recruitment support method. [Background technology]

[0002] In recent years, matching services between job seekers and employers have been attracting attention. In such matching services, employers register job vacancy data related to the personnel they are looking for in a database, and job seekers refer to the job vacancy data and apply for jobs that interest them (for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2013-246453 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the above-mentioned recruitment data is created by employers and does not take into account the population of job seekers that fit the recruitment data. Therefore, the situation of job seekers assumed by employers may differ from the actual situation of job seekers, which may result in a situation where few job seekers are interested in the recruitment data.

[0005] SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and has as its object to provide a hiring support device and a hiring support method that can appropriately hire job seekers. [Means for solving the problem]

[0006] One aspect of the disclosure is a recruitment support device that includes a management unit that manages profile information of job seekers, an output unit that outputs an editing interface for editing recruitment data related to personnel desired by employers, and a control unit that identifies the number of job seekers that match the recruitment data based on the edited content of the recruitment data and the profile information of the job seekers, and the output unit outputs the number of job seekers along with the editing interface.

[0007] One aspect of the disclosure is a recruitment support method comprising: step A of managing profile information of job seekers; step B of outputting an editing interface for editing recruitment data related to personnel desired by an employer; and step C of identifying the number of job seekers who match the recruitment data based on the edited content of the recruitment data and the profile information of the job seekers, wherein step B includes a step of outputting the number of job seekers together with the editing interface. [Effects of the Invention]

[0008] According to the present invention, it is possible to provide a hiring support device and a hiring support method that enable appropriate hiring of job seekers. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram showing a recruitment support system 100 according to an embodiment. [Figure 2] FIG. 2 is a diagram showing a recruitment support device 30 according to the embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of profile information according to the embodiment. [Figure 4] FIG. 4 is a diagram showing an example of a display mode according to the embodiment. [Figure 5] FIG. 5 is a diagram illustrating an operation example 1 according to the embodiment. [Figure 6] FIG. 6 is a diagram illustrating a second operation example according to the embodiment. [Figure 7] FIG. 7 is a diagram illustrating an operation example 3 according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, embodiments will be described with reference to the drawings. In the following description of the drawings, the same or similar parts are denoted by the same or similar reference numerals.

[0011] However, please note that the drawings are schematic and the ratios of the dimensions may differ from those of the actual product. Therefore, the specific dimensions should be determined by taking into consideration the following explanation. Furthermore, it goes without saying that the dimensional relationships or ratios may differ between the drawings.

[0012] [Disclosure Summary] The recruitment support device according to the disclosed summary includes an output unit that outputs an editing interface for editing recruitment data related to personnel desired by an employer, and a control unit that calculates a score related to the quality of the recruitment data based on the edited content of the recruitment data, and the output unit outputs the score.

[0013] The recruitment support method according to the disclosed summary includes step A of outputting an editing interface for editing recruitment data related to personnel desired by an employer, step B of calculating a score related to the quality of the recruitment data based on the edited content of the recruitment data, and step C of outputting the score.

[0014] In the summary of the disclosure, the recruitment support device calculates a score related to the quality of the recruitment data based on the edited content of the recruitment data and outputs the calculated score. With this configuration, an employer can edit the recruitment data using the editing interface while checking the score related to the quality of the recruitment data. In other words, the employer can edit the recruitment data while checking whether the recruitment data is appropriate, thereby enabling the employer to appropriately hire job seekers.

[0015] [Embodiment] (Recruitment support system) The following describes a recruitment support system according to an embodiment: Fig. 1 is a diagram showing a recruitment support system 100 according to an embodiment.

[0016] As shown in Fig. 1, the recruitment support system 100 includes a first terminal 10, a second terminal 20, and a recruitment support device 30. The first terminal 10, the second terminal 20, and the recruitment support device 30 are connected by a network 200. Although not particularly limited, the network 200 may be configured by the Internet. The network 200 may include a local area network, a mobile communication network, or a VPN (Virtual Private Network).

[0017] The first terminal 10 is a terminal used by a job seeker. For example, the first terminal 10 may be a personal computer, a smartphone, or a tablet terminal. Although not particularly limited, the job seeker may use the first terminal 10 to input his or her profile information.

[0018] The second terminal 20 is a terminal used by the employer. The second terminal 20 may be a personal computer, a smartphone, or a tablet terminal. Although not particularly limited, the employer may use the second terminal 20 to view the profile information of the job seeker.

[0019] The hiring support device 30 is a device that supports the hiring of human resources. The hiring support device 30 provides a matching service between job seekers and employers. In an embodiment, the hiring support device 30 supports the editing of job vacancy data. Details of the hiring support device 30 will be described later.

[0020] (Recruitment support device) The following describes a recruitment support device according to an embodiment. Fig. 2 is a diagram showing a recruitment support device 30 according to an embodiment. As shown in Fig. 2, the recruitment support device 30 includes a communication unit 31, a management unit 32, and a control unit 33.

[0021] The communication unit 31 is configured by a communication module. The communication module may be a wireless communication module conforming to a standard such as IEEE802.11a / b / g / n / ac / ax, LTE, 5G, or 6G, or may be a wired communication module conforming to a standard such as IEEE802.3.

[0022] For example, the communication unit 31 may receive profile information of the job seeker from the first terminal 10. The communication unit 31 may transmit the profile information of the job seeker to the second terminal 20 for viewing by the employer.

[0023] In the embodiment, the communication unit 31 may constitute an output unit that outputs an editing interface for editing job vacancy data related to the personnel desired by the employer. For example, the communication unit 31 may transmit data for displaying the editing interface on the second terminal 20 to the second terminal 20. Details of the display format displayed on the second terminal 20 will be described later (see FIG. 4).

[0024] The management unit 32 is configured by a storage medium such as an SSD (Solid State Drive) or an HDD (Hard Disk Drive), and stores various information.

[0025] In an embodiment, the management unit 32 may configure a management unit that manages profile information of job seekers. As described above, the profile information may be input by the job seeker using the first terminal 10.

[0026] Although not particularly limited, the profile information may include the information shown in Fig. 3. As shown in Fig. 3, the profile information may include desired conditions, current industry, current occupation, career history, etc.

[0027] The desired conditions are information regarding the conditions desired by the job seeker. The desired conditions may include the region in which the job seeker wishes to work (e.g., Tokyo, Osaka, nationwide, overseas, etc.). The desired conditions may include the job seeker's desired annual salary (e.g., XX yen or more, XX yen to XX yen, etc.). The desired conditions may include the job seeker's desired industry (e.g., manufacturing, information and communications, finance, service, etc.). The desired conditions may include the job type the job seeker wishes to work in (e.g., sales, clerical work, sales, accounting, legal affairs, etc.). Although not particularly limited, the desired conditions may include items other than those described above. For example, the desired conditions may include the job position the job seeker wishes to work in (e.g., management, department manager, section manager, responsible position, etc.).

[0028] The current industry may be information about the industry of the work that the job seeker is currently engaged in. If the job seeker is currently unemployed, the current industry may be information about the industry of the most recent work that the job seeker is engaged in.

[0029] The current job type may be information about the job type related to the work that the job seeker is currently engaged in. If the job seeker is currently unemployed, the current job type may be information about the job type related to the most recent work that the job seeker is engaged in.

[0030] The career history is information about the job seeker's career. The career history may include information about the job seeker's educational background. The career history may include information about the job seeker's work history. The work history may include a history of the job seeker's work. The career history may include information about the job seeker's qualifications. The career history may include information about the job seeker's skills. Although not particularly limited, the career history may include items other than those described above. For example, the career history may include information about the job seeker's selling points (e.g., achievements in work awards, personality, etc.).

[0031] The control unit 33 may include at least one processor. The at least one processor may be configured by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), one or more integrated circuits, one or more discrete circuits, or a combination thereof.

[0032] In an embodiment, the control unit 33 may be configured to calculate a score related to the quality of the job data based on the edited content of the job data. The control unit 33 may calculate a score related to evaluation factors for evaluating the job data. The evaluation factors may include one or more factors selected from the amount of information included in the job data (hereinafter, information amount), the expression of sentences included in the job data (hereinafter, expression), and the terms included in the job data (hereinafter, expertise). The terms included in the job data are terms that represent the job content of the personnel sought by the employer.

[0033] In an embodiment, the control unit 33 may be configured to identify the number of job seekers who match the job recruitment data based on the edited content of the job recruitment data and the profile information of the job seekers. The control unit 33 may also identify the expected salary of the job seekers who match the job recruitment data and identify the number of job seekers for each expected salary. The following mainly describes a case where the expected salary is an expected annual income. The control unit 33 may also identify the expected job types of the job seekers who match the job recruitment data and identify the number of job seekers for each expected job type.

[0034] (Display mode) The display mode according to the embodiment will be described below. Fig. 4 is a diagram showing an example of the display mode according to the embodiment. Here, the display mode displayed on the second terminal 20 will be described.

[0035] As shown in FIG. 4, the display aspects may include aspect 21A, aspect 21B, aspect 21C, aspect 21D, aspect 21E, and aspect 21F.

[0036] Aspect 21A is an aspect including an editing interface for editing recruitment data related to the personnel desired by the employer. Aspect 21A may include one or more items constituting the recruitment data. For example, the one or more items may include "specific job content," "mission," "recruitment background," "attractions," "treatment and benefits," "employment, labor, and work information," "career path," "organizational structure," "desired personality," "application qualifications," etc.

[0037] "Specific Job Description" may be a section describing the specific details of the industry or job type the recruiter is seeking. "Mission" may be a section describing the guidelines that determine the direction of growth for the organization (company, department, etc.). "Recruitment Background" may be a section describing the background to the recruitment (filling vacancies, business expansion, etc.). "Attractions" may be a section describing the appeal of the organization (company, department, etc.) or the work. "Compensation and Benefits" may be a section describing compensation (salary, bonuses, etc.) and benefits (social insurance, child allowance, commuting subsidies, etc.). "Employment, Labor, and Work Information" may be a section describing employment conditions (full / non-regular employment), working hours, work location, etc. "Career Path" may be a section describing the path to future positions and duties. "Organizational Structure" may be a section describing the structure of the organization (company, department, etc.). "Desired Personality" may be a section describing the personality and character of the personnel desired in the field. The "application qualifications" may be an item describing the qualifications required for application. The "application qualifications" may include an item describing required qualifications, an item describing preferred qualifications, and the like.

[0038] Aspect 21B is an aspect including a score regarding the quality of the job data. The score may include a score for each evaluation element (expression, amount of information, specialization) for evaluating the job data.

[0039] Aspect 21C is an aspect including the amount of information about the job data. The amount of information may include the number of characters included in the job data (in FIG. 4, the number of characters), the number of sentences included in the job data, and the average time required to read the job data (in FIG. 4, the average reading time).

[0040] Aspect 21D may include analysis results (insights in FIG. 4) related to the recruitment data. The analysis results may include whether words unique to an organization are used in the recruitment data (unique words in FIG. 4), or whether words specific to a job type, business type, industry, etc. are used in the recruitment data (job-specific words in FIG. 4). Although not particularly limited, a low ratio of unique words may be desirable, or a high ratio of job-specific words may be desirable. Hereinafter, job-specific words will be defined as words unique to at least one of a job type, business type, and industry. Therefore, job-specific words may include so-called industry jargon, etc.

[0041] Aspect 21E is an aspect including the number of job seekers for each expected annual income. Although not particularly limited, aspect 21E may be an aspect in which the number of job seekers for each expected annual income is represented by a histogram, as shown in FIG. 4. However, aspect 21E may be an aspect in which the expected annual income or the number of job seekers for each expected annual income is represented by a continuous value, or an aspect in which the expected annual income or the number of job seekers for each expected annual income is represented by a discrete value. Aspect 21E may be an aspect in which the number of job seekers for each expected annual income is represented by the number of people.

[0042] Aspect 21F is an aspect that includes the number of job seekers for each assumed job type. Although not particularly limited, aspect 21F may be an aspect that expresses the number of job seekers for each assumed job type as a number of people, as shown in Figure 4. However, aspect 21F may also be an aspect that expresses the number of job seekers for each assumed job type as a histogram.

[0043] Here, aspect 21B may be displayed together with aspect 21A. That is, the score may be output together with the editing interface. Aspect 21B may be displayed in the same window as aspect 21A, or aspect 21B may be displayed in a separate window from aspect 21A in response to an operation to display the score (e.g., a pop-up display).

[0044] The aspect 21C may be displayed together with the aspect 21A. The aspect 21C may be displayed in the same window as the aspect 21A, or the aspect 21C may be displayed in a window separate from the aspect 21A in response to an operation for displaying the amount of job information (for example, a pop-up display).

[0045] Aspect 21D may be displayed together with aspect 21A. Aspect 21D may be displayed in the same window as aspect 21A, or aspect 21D may be displayed in a separate window from aspect 21A (e.g., a pop-up display) in response to an operation to display the insight.

[0046] Aspect 21E may be displayed together with aspect 21A. That is, the number of job seekers for each expected annual salary may be output along with the editing interface. Aspect 21E may be displayed in the same window as aspect 21A, or aspect 21E may be displayed in a separate window (e.g., a pop-up display) from aspect 21A in response to an operation to display the number of job seekers for each expected annual salary.

[0047] Aspect 21F may be displayed together with aspect 21A. That is, the number of job seekers for each assumed job category may be output together with the editing interface. Aspect 21F may be displayed in the same window as aspect 21A, or aspect 21F may be displayed in a separate window from aspect 21A (e.g., a pop-up display) in response to an operation to display the number of job seekers for each assumed job category.

[0048] The display mode shown in FIG. 4 may include an operation button for switching between display and non-display of at least one or more of Modes 21B to 21F.

[0049] 4 may include a reflection button for reflecting the content edited in aspect 21 A. At least one or more of aspects 21 B to 21 F may be updated by operating the reflection button.

[0050] (Score calculation) The calculation of scores according to the embodiment will be described below. As described above, the hiring support device 30 calculates a score related to the quality of the job data based on the edited content of the job data. The hiring support device 30 may also calculate a score related to evaluation elements that evaluate the job data. The evaluation elements may include one or more elements selected from the group consisting of information volume, expression, and expertise.

[0051] The information score may be calculated using the following options:

[0052] In Option 1-1, the score for the amount of information may be calculated based on the result of comparing the number of characters included in the entire job data with the appropriate range. For example, the score for the amount of information may be calculated lower if the number of characters included in the entire job data is lower than the lower limit of the appropriate range. The score for the amount of information may be calculated lower if the number of characters included in the entire job data is higher than the upper limit of the appropriate range.

[0053] In option 1-2, the score for the amount of information may be calculated based on the amount of information for each item. For example, the score for each item may be calculated based on the result of comparing the number of characters included in the item with the appropriate range for the item, and the score for the overall amount of information for the job data may be calculated based on the score for each item. In such a case, the appropriate range for each item may differ for each item. The score for the overall amount of information for the job data may be calculated based on the score for each item and the weighted value for each item.

[0054] The score for an expression may be calculated according to the following options:

[0055] In option 2-1, the expression score may be calculated based on whether or not grammatically inappropriate expressions are included by analyzing the expressions of sentences included in the job data. For example, the more grammatically inappropriate expressions there are, the lower the expression score may be calculated. The expression analysis may be performed using a tool such as morphological analysis. The expression analysis may be performed using machine learning, such as AI (Artificial Intelligence).

[0056] In Option 2-2, the expression score may be calculated based on the consistency between the item and the sentences included in the item. For example, if the "specific job content" item contains sentences other than the specific content of the industry or job type the employer is looking for (e.g., sentences about the desired personality), the expression score may be calculated to be low. The consistency analysis may be performed using tools such as morphological analysis. The consistency analysis may also be performed using machine learning, such as AI.

[0057] In Option 2-3, the expression score may be calculated based on the consistency between sentences included in two or more items. For example, if a sentence included in the "Mission" item contradicts a sentence included in the "Charm" chasing tree, the expression score may be calculated to be low. The consistency analysis may be performed using a tool such as morphological analysis. The consistency analysis may also be performed using machine learning, such as AI.

[0058] The expertise score may be calculated using the options below.

[0059] In Option 3-1, the expertise score may be calculated by referring to a database that contains terms that describe the job content of the personnel the employer is seeking. For example, if the job data contains terms registered in the database, the expertise score may be calculated to be high.

[0060] Here, the database may be considered a dictionary that associates terms representing job content with jobs. The terms representing job content may include not only terms actually used in the job recruitment data, but also terms commonly used in jobs. The terms representing job content may be registered by the employer, or may be registered by a third party other than the employer. The database may be provided in the management unit 32 described above, or may be provided in an external device provided separately from the recruitment support device 30.

[0061] In Option 3-2, the expertise score may be calculated based on the similarity to job data determined to have an expertise score higher than a threshold. The similarity may be determined using machine learning, such as AI. For job data determined to have an expertise score higher than a threshold, job data calculated in Option 3-1 and having a score higher than the threshold may be used, or job data selected by the employer may be used.

[0062] (Identifying the number of job seekers) The following describes how to identify the number of job seekers according to this embodiment. As described above, the recruitment support device 30 identifies the number of job seekers who match the job offer data based on the edited content of the job offer data and the profile information of the job seekers.

[0063] First, the recruitment support device 30 identifies a population of job seekers who match the edited content of the job recruitment data from the profile information of job seekers (job seekers) managed by the management unit 32. For example, the recruitment support device 30 extracts edited content related to information used to identify the population (e.g., "specific job content," "mission," "recruitment background," "attractiveness," "desired personality," "employment, labor, and working conditions," "application qualifications," etc.) from the edited content of the job recruitment data. The recruitment support device 30 extracts profile information related to information used to identify the population (e.g., "desired conditions," "current industry," "current job type," "career history," etc.) from the profile information of job seekers. The recruitment support device 30 identifies job seekers whose similarity between the extracted edited content and the extracted profile information is equal to or greater than a threshold as a population of job seekers (i.e., the number of job seekers).

[0064] The information used to identify the population may be set in advance or may be arbitrarily set by the recruiter.

[0065] In the second step, the recruitment support device 30 specifies the number of job seekers for each expected annual salary or expected job type. The number of job seekers may be specified using the following options:

[0066] Option 4-1 describes the number of job seekers for each expected annual income. In such a case, the recruitment support device 30 extracts information related to expected annual income (e.g., desired annual income or current annual income) from the profile information of the job seekers, and identifies the expected annual income for each job seeker included in the population. The recruitment support device 30 then identifies the number of job seekers for each identified expected annual income.

[0067] In cases where Option 4-1 is applied, information about annual income (such as desired annual income or current annual income included in profile information) may not be used in identifying the population. In other words, in the first stage, the population of job seekers may be identified without considering the similarity of information about annual income.

[0068] Option 4-2 explains the number of job seekers for each expected job type. In such a case, the hiring support device 30 extracts information about expected job types (e.g., desired job type or current job type) from the job seeker's profile information and identifies the expected job type for each job seeker included in the population. The hiring support device 30 then identifies the number of job seekers for each identified expected job type.

[0069] In cases where Option 4-2 is applied, information about job types (such as desired or current job types included in profile information) may not be used in identifying the population. In other words, in the first stage, the population of job seekers may be identified without considering the similarity of information about job types.

[0070] In the above disclosure, for convenience of explanation, the operation of the recruitment support device 30 has been described as being divided into a first stage and a second stage. However, the first stage and the second stage may be processed as one stage.

[0071] (Example of operation) An example of operation according to the embodiment will be described below, with the operation of the recruitment support device 30 being mainly described below.

[0072] In the first operational example, the operation of the recruitment support device 30 to output a score will be described with reference to FIG.

[0073] As shown in FIG. 5, in step S10, the recruitment support device 30 outputs an editing interface (mode 21A shown in FIG. 4) to the second terminal 20.

[0074] In step S12, the recruitment support device 30 acquires from the second terminal 20 the input content (edit content) to the editing interface.

[0075] In step S14, the hiring support device 30 calculates a score related to the quality of the job data based on the edited content of the job data. The hiring support device 30 may calculate a score related to evaluation elements that evaluate the job data. The evaluation elements may include one or more elements selected from the group consisting of information volume, expression, and expertise.

[0076] In step S16, the recruitment support device 30 outputs a score related to the quality of the job offer data to the second terminal 20 (mode 21B shown in FIG. 4). The recruitment support device 30 may output the score together with the editing interface.

[0077] In the second operational example, the operation of the recruitment support device 30 to output the number of job seekers for each expected annual income will be described with reference to FIG.

[0078] As shown in FIG. 6, in step S20, the recruitment support device 30 outputs an editing interface (mode 21A shown in FIG. 4) to the second terminal 20.

[0079] In step S22, the recruitment support device 30 acquires from the second terminal 20 the input content (edit content) to the editing interface.

[0080] In step S24, the recruitment support device 30 identifies a population of job seekers who match the recruitment data based on the edited content of the recruitment data and the profile information of the job seekers, and also identifies the expected annual income of the job seekers who match the recruitment data based on the profile information of the job seekers.

[0081] In step S26, the recruitment support device 30 outputs the number of job seekers who match the job recruitment data for each expected annual income of the job seeker to the second terminal 20 (mode 21E shown in FIG. 4). The recruitment support device 30 may output the number of job seekers together with the editing interface.

[0082] In the third operational example, the operation of the recruitment support device 30 to output the number of job seekers for each assumed job category will be described with reference to FIG.

[0083] As shown in FIG. 7, in step S30, the recruitment support device 30 outputs an editing interface (mode 21A shown in FIG. 4) to the second terminal 20.

[0084] In step S32, the recruitment support device 30 acquires from the second terminal 20 the input content (edit content) to the editing interface.

[0085] In step S34, the recruitment support device 30 identifies a population of job seekers who match the recruitment data based on the edited content of the recruitment data and the job seeker's profile information, and also identifies the expected job type of the job seeker who matches the recruitment data based on the job seeker's profile information.

[0086] In step S36, the recruitment support device 30 outputs the number of job seekers who match the job vacancy data for each expected job category of the job seekers to the second terminal 20 (mode 21F shown in FIG. 4). The recruitment support device 30 may output the number of job seekers together with the editing interface.

[0087] (Action and effect) In an embodiment, the hiring support device 30 may calculate a score related to the quality of the job data based on the edited content of the job data, and output the calculated score. With this configuration, the employer can edit the job data using the editing interface while checking the score related to the quality of the job data. In other words, the employer can edit the job data while checking whether the job data is appropriate, thereby enabling the employer to appropriately hire job seekers.

[0088] In an embodiment, the hiring support device 30 may output a score together with the editing interface. With this configuration, it is possible to check whether the hiring data is appropriate while performing input (editing of hiring data) using the editing interface.

[0089] In an embodiment, the recruitment support device 30 may output the number of job seekers who match the recruitment data along with the editing interface. With this configuration, the employer can edit the recruitment data using the editing interface while referring to job seekers who match the recruitment data. In other words, the employer can edit the recruitment data while checking whether the population of job seekers who match the recruitment data is appropriate, thereby enabling the employer to appropriately recruit job seekers.

[0090] In an embodiment, the recruitment support device 30 may output to the second terminal 20 the number of job seekers who match the recruitment data for each expected annual salary of the job seeker. This configuration makes it easy to identify discrepancies between employers and job seekers regarding the annual salary in the recruitment data. For example, it is easy to modify the annual salary included in the "treatment and benefits" included in the recruitment data. In addition, it is easy to change (expand or shrink) the pool of candidates by relaxing the "application requirements" included in the recruitment data, or by changing the "desired profile" included in the recruitment data.

[0091] In an embodiment, the recruitment support device 30 may output to the second terminal 20 the number of job seekers who match the recruitment data for each expected job type of the job seeker. This configuration makes it easy to identify discrepancies between employers and job seekers regarding the job types in the recruitment data. For example, it is easy to change (expand or shrink) the population by changing the descriptions of "specific job content," "attractiveness," and "career path" included in the recruitment data.

[0092] [Change Example 1] Modification 1 of the embodiment will be described below, focusing mainly on the differences from the embodiment.

[0093] Specifically, in the above-described embodiment, the hiring support device 30 extracts information related to expected annual income (for example, desired annual income or current annual income) from the profile information of job seekers, and identifies the expected annual income for each job seeker included in the population. The hiring support device 30 identifies the number of job seekers for each identified expected annual income (Option 4-1). In contrast, Modification Example 1 describes a modified example of the method for identifying (estimating) the number of job seekers for each expected annual income. The following options are possible methods for identifying the number of job seekers for each expected annual income.

[0094] In option 5-1, the hiring support device 30 may identify a distribution of expected annual income based on information (e.g., benefits (salary, bonuses, etc.)) included in job data (hereinafter, related job data, etc.) that includes at least one of the job data to be edited and job data related to the job data to be edited, among the job data managed by the hiring support device 30. The hiring support device 30 may identify a probability for each category of expected annual income (hereinafter, category probability) based on the identified distribution (probability distribution) of expected annual income. The hiring support device 30 may identify the number of job seekers for each (category of) expected annual income by multiplying the category probability by a specific population. The total number of job seekers managed by the hiring support device 30 may be used as the specific population.

[0095] Although not particularly limited, the related job data, etc. may be job data whose similarity to the job data to be edited is equal to or greater than a threshold. The similarity may be determined by comparing the documents of both (hereinafter referred to as content-based similarity). The similarity may be determined by the correlation between the reactions of job seekers who viewed both (hereinafter referred to as collaborative filtering (memory-based) similarity). The reactions may include viewing the job data, receiving a scout related to the job data, applying for the job data, etc. The similarity may be determined by a combination of content-based similarity and collaborative filtering similarity.

[0096] In option 5-2, the hiring support device 30 may determine the distribution of expected annual income based on information (e.g., desired annual income or current annual income) included in the profile information of job seekers who have received scouts related to the related job data, etc., job seekers who have applied for the related job data, etc., and job seekers who have been hired based on the related job data, etc. The hiring support device 30 may determine the probability for each category of expected annual income (hereinafter referred to as category probability) based on the determined distribution (probability distribution) of expected annual income. The hiring support device 30 may determine the number of job seekers for each (category of) expected annual income by multiplying the category probability by a specific population. The total number of job seekers managed by the hiring support device 30 may be used as the specific population.

[0097] In option 5-3, the hiring support device 30 may identify annual income based on information (e.g., desired annual income or current annual income) included in the profile information managed by the hiring support device 30, and may identify the number of job seekers for each annual income category for all job seekers. The annual income category or the number of job seekers for each annual income category may be represented by a continuous value, a discrete value, or a histogram. The hiring support device 30 may identify the ratio of related job data, etc. to the total number of job data managed by the hiring support device 30 (hereinafter referred to as the related ratio). The hiring support device 30 may identify the number of job seekers for each expected annual income (category) by multiplying the number of job seekers for each annual income category by the related ratio.

[0098] In Modification Example 1, the expected annual income (mode 21E) has been described, but the above-mentioned options 5-1 to 5-3 can also be applied to the expected occupation (mode 21F). In such a case, the expected annual income can be replaced with the expected occupation, and options 5-1 to 5-3 can be applied.

[0099] [Other embodiments] Although the present invention has been described by the above-mentioned embodiments, the descriptions and drawings that form part of this disclosure should not be understood to limit the present invention. From this disclosure, various alternative embodiments, examples, and operating techniques will become apparent to those skilled in the art.

[0100] In the above disclosure, an example has been given of a case in which at least one or more of aspects 21B to 21F may be displayed together with aspect 21A. However, the above disclosure is not limited to this. At least one or more of aspects 21B to 21F may be displayed together with an aspect other than aspect 21A. In other words, two or more aspects selected from aspects 21A to 21F may be displayed together.

[0101] In the above disclosure, an example has been given in which the number of job seekers for each expected annual income is expressed as a number of people. However, the number of job seekers for each expected annual income may be expressed as an index. For example, the distribution (probability distribution) of expected annual incomes specified in Option 5-1 or Option 5-2 described above may be used as is as the number of job seekers for each expected annual income. Similarly, the distribution (probability distribution) of expected occupations specified in Option 5-1 or Option 5-2 described above may be used as is as the number of job seekers for each expected occupation.

[0102] Although not specifically mentioned in the above disclosure, two or more options selected from Option 4-1 and Option 5-1 to Option 5-3 may be combined for the number of job seekers for each expected annual income.

[0103] Although not specifically mentioned in the above disclosure, two or more options selected from Option 4-1 and Option 5-1 to Option 5-3 may be combined with respect to the number of job seekers for each assumed job category.

[0104] The above disclosure has exemplified a case in which a score is calculated and output for each evaluation element used to evaluate job data. However, the above disclosure is not limited to this. For example, a score related to the entire job data (hereinafter referred to as an overall score) may be calculated and output. The overall score may be calculated based on the scores for each evaluation element (hereinafter referred to as an item score). The overall score may be output together with the item scores or separately from the item scores.

[0105] In the above disclosure, a case has been described in which the expected salary is an expected annual income. However, the above disclosure is not limited to this. The expected salary may be an expected annual income that takes into account various allowances, or may be an expected annual income that does not take into account various allowances. The expected salary may be an expected monthly salary that takes into account bonuses, or may be an expected monthly salary that does not take into account bonuses. The expected salary may be an expected monthly salary that takes into account various allowances, or may be an expected monthly salary that does not take into account various allowances.

[0106] Although not specifically mentioned in the above disclosure, output may be interpreted as display or transmission of data for display.

[0107] Although not specifically mentioned in the above disclosure, the term "job" may be interpreted as "task," "job," "duty," "position," "role," etc.

[0108] In the above disclosure, the score regarding the quality of the recruitment data may be calculated in real time while the recruitment data is being edited, may be calculated in response to the employer's operations, or may be calculated after the recruitment data has been edited.

[0109] In the above disclosure, the number of job seekers who match the job data may be determined in real time while the job data is being edited, may be determined in response to an employer's operation, or may be determined after the job data has been edited.

[0110] Although not specifically mentioned in the above disclosure, a program may be provided that causes a computer to execute each process performed by the recruitment support device 30. The program may also be recorded on a computer-readable medium. Using the computer-readable medium, the program can be installed on a computer. Here, the computer-readable medium on which the program is recorded may be a non-transitory recording medium. The non-transitory recording medium is not particularly limited, and may be, for example, a recording medium such as a CD-ROM or a DVD-ROM.

[0111] Alternatively, a chip may be provided that is configured by a memory that stores programs for executing the processes performed by the recruitment support device 30 and a processor that executes the programs stored in the memory. [Explanation of symbols]

[0112] 10...first terminal, 20...second terminal, 30...recruitment support device, 31...communication unit, 32...management unit, 33...control unit, 40...third party, 100...recruitment support system, 200...network

Claims

1. an administration department for managing profile information of job seekers; A control unit that identifies the number of job seekers that match the recruitment data based on information contained in the recruitment data regarding human resources required by an employer and profile information of the job seekers; and an output unit that outputs the number of job seekers.

2. The recruitment support device of claim 1, wherein the control unit determines the expected annual income of the job seeker based on information contained in other recruitment data related to the recruitment data.

3. The recruitment support device as described in Claim 2, wherein the other job data is job data whose similarity to the job data is equal to or greater than a threshold value.

4. The control unit determines an expected annual income of the job seeker based on information included in the profile information of the specific job seeker, The recruitment support device according to claim 1, wherein the specific job seekers include at least one of a job seeker who has received a scout for other recruitment data related to the recruitment data, a job seeker who has applied for the other recruitment data, or a job seeker who has been hired for the other recruitment data.

5. The recruitment support device as described in claim 1, wherein the output unit outputs a distribution of expected annual income of job seekers.

6. A step A in which a recruitment support device manages profile information of job seekers; A step B in which the recruitment support device identifies the number of job seekers who match the recruitment data based on information contained in the recruitment data related to human resources required by an employer and profile information of the job seekers; A recruitment support method comprising: a step C in which the recruitment support device outputs the number of job seekers.

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