JP2018173675A - Recruiting medium extraction system, program, and recruiting medium extraction method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To extract a recruiting medium which is further matched to recruiting.SOLUTION: A data management server 100 includes: a recruiting data acquisition part 132 for acquiring medium ordering recruiting data relating first recruiting which is performed by a recruiter in the past through a recruiting medium, achievement data including at least one of an application state and an adopting state of a job seeker with respect to the recruiting and associated with the recruiting medium, and specific recruiting data relating new second recruiting; and an extraction part 137 for extracting the at least one recruiting medium suitable for specific recruiting from a plurality of recruiting media on the basis of medium ordering recruiting data, the specific recruiting data, and the achievement data.SELECTED DRAWING: Figure 14

Description

  The present invention relates to a technique for extracting a specific job search medium from a plurality of job search media.

  In the technique disclosed in Patent Document 1, a recruitment medium is selected based on a recruitment condition.

JP 2002-32506 A

The technique disclosed in Patent Document 1 selects a job recruitment medium by comparing the job recruitment conditions with fixed prediction information about a job seeker predicted to subscribe to the job recruitment medium.
However, it cannot be said that this alone has extracted a job posting medium that more closely matches the job posting.
An object of the present invention is to extract a recruitment medium that more closely matches a recruitment.

  In order to solve the above-mentioned problem, the first aspect of the present invention is the first job data relating to the first job that the first job seeker has made via the job search medium in the past, and the first job search. First acquisition means for acquiring at least one of the job applicant's application status and employment status and acquiring performance data associated with the job search medium; and a second job offer relating to the second job performed by the second job seeker Based on the second acquisition means for acquiring data and the first job data, the second job data, and the performance data, at least one suitable for the second job from a plurality of job posting media. And an extraction means for extracting the job posting medium.

  In the second aspect of the present invention, the information processing apparatus further includes a comparison unit that compares the first job search data and the second job search data, and the extraction unit is configured to compare the results based on the comparison result of the comparison unit. It is preferable to extract at least one recruitment medium with excellent recruitment results from a plurality of recruitment media while referring to the data employment status.

  In the third aspect of the present invention, it is preferable that the extraction unit extracts at least one job recruitment medium having a larger number of people who have been employed as having a better employment record from a plurality of job recruitment media.

  According to a fourth aspect of the present invention, the information processing apparatus further includes a comparison unit that compares the first job search data and the second job search data, and the extraction unit is configured to compare the results based on a comparison result of the comparison unit. It is preferable to extract at least one job posting medium with excellent application results from a plurality of job posting media while referring to the data application status.

  In the fifth aspect of the present invention, it is preferable that the extracting means extracts at least one job recruitment medium having a larger number of applicants from a plurality of job recruitment media as having a better application record.

  In a sixth aspect of the present invention, the information processing apparatus further comprises third acquisition means for acquiring job medium related data indicating data relating to the job medium, wherein the extraction means includes the first job data and the second job. It is preferable to extract at least one job recruitment medium suitable for the second job recruitment from a plurality of job recruitment media based on the data, the result data, and the job recruitment media related data.

  In the seventh aspect of the present invention, the recruitment medium-related data includes at least an advertisement publication fee of the recruitment medium, and the extracting means refers to the employment status of the performance data, and from among a plurality of recruitment media, It is preferable to extract a job recruitment medium with a lower unit price of the advertisement insertion fee per person who has been employed as at least one job recruitment medium suitable for the second job recruitment.

  In an eighth aspect of the present invention, the recruitment medium related data includes at least an advertisement publication fee for the recruitment medium, and the extracting means refers to the application status of the performance data, and from among a plurality of recruitment media, It is preferable to extract a job recruitment medium with a lower unit price of the advertisement listing fee per applicant as at least one job recruitment medium suitable for the second job recruitment.

  In a ninth aspect of the present invention, the recruitment medium-related data includes at least an advertisement publication fee of the recruitment medium, and the extracting means refers to the employment status of the performance data, and from among a plurality of recruitment media, A recruitment medium with a lower unit price of the advertising fee per person who has been employed is extracted as at least one recruitment medium suitable for the second recruitment. If not, at least one recruitment medium suitable for the second recruitment is selected from among a plurality of recruitment media, with a recruitment medium with a lower unit price of the advertising fee per number of applicants from among a plurality of recruitment media. It is preferable to extract as

  In a tenth aspect of the present invention, the result data includes attributes of the job seeker, and the extracting unit is configured to select the job information from a plurality of job search media based on the attributes of the job seeker of the result data. It is preferable to extract at least one job medium suitable for the second job.

  In an eleventh aspect of the present invention, the result data includes a work result of the job seeker, and the extraction means is based on the work result of the job seeker of the result data from a plurality of job recruiting media. It is preferable to extract at least one recruitment medium suitable for the second recruitment.

  In a twelfth aspect of the present invention, the extracting means selects at least one job medium having a higher similarity between the first job data and the second job data from a plurality of job media. It is preferable to extract as at least one recruitment medium suitable for the second recruitment.

  In the thirteenth aspect of the present invention, it is preferable that the first job data and the second job data include at least a work address, a work industry, and a work type.

  In the fourteenth aspect of the present invention, it is preferable that the information processing apparatus further includes a presentation unit that presents information on the recruitment medium extracted by the extraction unit to the second recruiter.

  In order to solve the above-mentioned problem, according to a fifteenth aspect of the present invention, there is provided the fifteenth aspect of the present invention, in which the acquisition means includes first job data relating to a first job that the first job seeker has made via a job posting medium in the past, Acquire performance data including at least one of a job applicant's application status and recruitment status for one job and associated with the job posting medium, and second job data related to a second job performed by the second job seeker At least one recruitment medium suitable for the second recruitment among a plurality of recruitment media based on the first recruitment data, the second recruitment data, and the performance data. A program for causing a computer to execute an extraction step of extracting.

  In order to solve the above-described problem, according to a sixteenth aspect of the present invention, there is provided a first job data relating to a first job that a first job seeker has made in the past through a job medium, and the first job search. An acquisition step of acquiring at least one of a job applicant's application status and employment status and acquiring performance data associated with the job search medium and second job data related to a second job performed by the second job seeker; An extraction step of extracting at least one job medium suitable for the second job from a plurality of job posting media based on the first job data, the second job data, and the performance data; This is a recruitment medium extraction system.

  According to the first, fifteenth, and sixteenth aspects of the present invention, the recruitment medium extraction system includes the second recruitment medium based on the first recruitment data, the second recruitment data, and the performance data. By extracting at least one job recruitment medium suitable for the job offer, it is possible to extract at least one job recruitment medium suitable for the second job offer based on the past record data relating to the job offer. As a result, the recruitment medium extraction system can extract the recruitment medium that matches the second recruitment.

  According to the second aspect of the present invention, the recruitment medium extraction system can extract the recruitment medium that is highly likely to be employed by the job seeker in the second recruitment, by extracting the recruitment medium with excellent employment results. .

  According to the third aspect of the present invention, the recruitment medium extraction system extracts a recruitment medium with a larger number of people who have been hired, and thus the recruitment medium is likely to be employed by the second recruitment. Can be extracted.

  According to the fourth aspect of the present invention, the recruitment medium extraction system extracts a recruitment medium that is highly likely to be applied for by the job seeker with respect to the second recruitment by extracting a recruitment medium with excellent application results. it can.

  According to the fifth aspect of the present invention, the recruitment medium extraction system extracts a recruitment medium with a high possibility that a job seeker will apply for the second recruitment by extracting a recruitment medium with a larger number of applicants. it can.

  According to the second, third, fourth, and fifth aspects of the present invention, the recruitment medium extraction system uses the first job data and the second job data to compare the first job data and the first job data. Using the degree of similarity with the second job data as an index, it is possible to extract a job medium that matches the second job.

  According to the sixth aspect of the present invention, the recruitment medium extraction system extracts at least the recruitment medium using the recruitment medium related data, and takes into account the data related to the recruitment medium, and at least suitable for the second recruitment. A single recruiting medium can be extracted.

  According to the seventh aspect of the present invention, the recruitment medium extraction system can extract the recruitment medium that can reduce the recruitment cost by extracting the recruitment medium with a lower unit price of the advertisement insertion fee per person who has been employed. .

  According to the eighth aspect of the present invention, the recruitment medium extraction system can extract a recruitment medium that can suppress the application cost by extracting a recruitment medium with a lower unit price of the advertisement placement fee per application number.

  According to the ninth aspect of the present invention, when there is no recruitment medium with a track record of employment, the recruitment medium extraction system extracts a recruitment medium with a lower unit price of the advertisement listing fee per applicant, Considering both the application results, at least one job medium suitable for the second job can be extracted.

  According to the tenth aspect of the present invention, the recruitment medium extraction system can extract at least one recruitment medium suitable for the second recruitment based on the result data of the attribute of the job seeker with respect to the past recruitment. As a result, the recruitment medium extraction system can extract the recruitment medium that matches the second recruitment.

  According to the eleventh aspect of the present invention, the job recruitment medium extraction system can extract at least one job recruitment medium suitable for the second job recruitment based on the actual data of the job seeker's working results with respect to past job offers. As a result, the recruitment medium extraction system can extract the recruitment medium that matches the second recruitment.

  According to the twelfth aspect of the present invention, the recruitment medium extraction system extracts a recruitment medium having a higher degree of similarity between the first recruitment data and the second recruitment data, thereby making it more consistent with the second recruitment. You can extract recruitment media.

  According to the thirteenth aspect of the present invention, the recruitment medium extraction system can extract at least one recruitment medium suitable for the second recruitment based on easily obtainable information.

  According to the fourteenth aspect of the present invention, the recruiter can check the information on the extracted recruitment medium.

FIG. 1 is a block diagram illustrating a configuration example of a recruitment medium proposal system. FIG. 2 is a block diagram illustrating a configuration example of a communication terminal. FIG. 3 is a block diagram illustrating a configuration example of the information input terminal. FIG. 4 is a block diagram illustrating a configuration example of the data management server. FIG. 5 is a block diagram illustrating a configuration example of a database stored in the storage unit. FIG. 6 is a diagram illustrating an example of a job recruitment medium database. FIG. 7 is a diagram illustrating an example of a job recruitment database. FIG. 8 is a diagram illustrating an example of an input screen for inputting recruitment data in the information input terminal. FIG. 9 is a diagram illustrating an example of the medium ordering database. FIG. 10 is a diagram illustrating an example of the medium order ID database. FIG. 11 is a diagram illustrating an example of the applicant database. FIG. 12 is a diagram illustrating an example of the application database. FIG. 13 is a diagram illustrating an example of the employment progress situation database. FIG. 14 is a block diagram illustrating a configuration example of the processing unit. FIG. 15 is a flowchart of an example of the job recruitment medium candidate output process. FIG. 16 is a flowchart of an example of the medium ordering data generation process. FIG. 17 is a diagram showing a series of processes in the job offer medium proposal system.

Embodiments of the present invention will be described with reference to the drawings.
In the embodiment, a recruitment medium proposal system is cited.
(Constitution)
FIG. 1 is a block diagram illustrating a configuration example of a recruitment medium proposal system 1.

  As shown in FIG. 1, the recruitment medium proposal system 1 has a plurality of communication terminals 10, an information input terminal 20, and a data management server 100. Each communication terminal 10, information input terminal 20, and data management server 100 can communicate with each other via a communication line 200. The communication line 200 is an internet line or a LAN.

This recruitment medium proposal system 1 selects an appropriate recruitment medium for the recruitment based on the application status of the job seeker who applied for the recruitment via the recruitment medium that mediates between the recruiter and the job seeker on the Internet.
The communication terminal 10 is, for example, a personal computer or a mobile phone. Hereinafter, a case where the communication terminal 10 is a mobile phone will be described as an example. FIG. 2 is a block diagram illustrating a configuration example of the communication terminal 10.

As illustrated in FIG. 2, the communication terminal 10 includes a microphone 11, a speaker 12, a touch panel 13, a mobile communication unit 14, a communication unit 15, a storage unit 16, and a processing unit 17.
Here, the touch panel 13 has both an image display function and an information input function. The mobile communication unit 14 functions as a telephone communication. The communication unit 15 functions as a unit that communicates with an external communication device such as a server device by wire or wireless via an Internet line or a LAN. The storage unit 16 is, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), or the like. The processing unit 17 executes various processes in the communication terminal 10. The processing unit 17 includes, for example, a microcomputer and its peripheral circuits, and includes, for example, a CPU, a ROM, a RAM, and the like. The ROM stores one or more programs. The CPU executes various processes according to one or more programs stored in the ROM. And the process part 17 performs various processes according to the various data and various programs which are memorize | stored in the memory | storage part 16, as needed.

The information input terminal 20 is, for example, a personal computer or a mobile phone. Hereinafter, a case where the information input terminal 20 is a personal computer will be described as an example. FIG. 3 is a block diagram illustrating a configuration example of the information input terminal 20.
As illustrated in FIG. 3, the information input terminal 20 includes an input unit 21, a monitor 22, a communication unit 23, a storage unit 24, and a processing unit 25.

  Here, the input unit 21 is a keyboard, a mouse, or the like. The communication unit 23 functions as a device that communicates with an external communication device such as a server device by wire or wireless via an Internet line or a LAN. The storage unit 24 is an HDD or the like, and stores various data and various programs. The processing unit 25 executes various processes in the information input terminal 20. The processing unit 25 includes, for example, a microcomputer and its peripheral circuits, and includes, for example, a CPU, a ROM, a RAM, and the like. The ROM stores one or more programs. The CPU executes various processes according to one or more programs stored in the ROM. And the process part 25 performs various processes according to the various data and various programs which are memorize | stored in the memory | storage part 24 as needed.

  The data management server 100 manages the data of job seekers (or applicants) who have applied for job postings via various job posting media on the Internet, and extracts job posting media suitable for job postings from a plurality of job posting media. It is a server having the proposed function. FIG. 4 is a block diagram illustrating a configuration example of the data management server 100.

  As illustrated in FIG. 4, the data management server 100 includes a communication unit 101, a storage unit 120, and a processing unit 130. Here, the communication unit 101 performs communication between the communication terminal 10 and the information input terminal 20 via the communication line 200. The storage unit 120 is an HDD or the like, and stores various data and various programs. The processing unit 130 executes various processes in the data management server 100. The processing unit 130 includes, for example, a microcomputer and its peripheral circuits, and includes, for example, a CPU, a ROM, a RAM, and the like. The ROM stores one or more programs. The CPU executes various processes according to one or more programs stored in the ROM. And the process part 130 performs various processes according to the various data and various programs which are memorize | stored in the memory | storage part 120 as needed.

FIG. 5 is a block diagram illustrating a configuration example of a database stored in the storage unit 120.
As shown in FIG. 5, the storage unit 120 includes a job recruitment medium database 121, a job recruitment database 122, a medium ordering database 123, a medium ordering ID database 124, an applicant database (or job seeker database) 125, an application database (or job seeking database). ) 126 and a recruitment progress status database 127 are stored.

  Here, the recruitment medium database 121 stores recruitment medium data that is data related to the recruitment medium. The recruitment database 122 stores a plurality of recruitment data. The job offer data includes at least one of data of work address, work industry, and work type. The medium ordering database 123 stores medium ordering data that is data relating to the ordering of job posting media. The medium order ID database 124 manages medium order IDs. The applicant database 125 stores applicant data that is data relating to applicants. The application database 126 stores application data that is data related to the application. The recruitment progress status database 127 stores recruitment progress status data that is data relating to the progress status of recruitment. Details of these databases are described below.

FIG. 6 is a diagram illustrating an example of the recruitment medium database 121.
As shown in FIG. 6, the recruitment medium database 121 includes various data such as a recruitment medium ID, a recruitment medium service name, a recruitment medium providing company name, and a contact information as the recruitment medium data, and these data are associated with each other. . The recruitment medium data is data that is input from the information input terminal 20 and acquired by the data management server 100 through communication between the information input terminal 20 and the data management server 100.

FIG. 7 is a diagram illustrating an example of the recruitment database 122.
As shown in FIG. 7, the recruitment database 122 includes a job offer ID, a company name, a company name, a company address, a business type, a job type, a working day per week, a working hour per day, a working hour, Various data such as period, salary, employment form, job title, qualification / skill, and welfare are included as job offer data from job seekers, and these data are associated with each other. The job offer data is data that is input from the information input terminal 20 and acquired by the data management server 100 through communication between the information input terminal 20 and the data management server 100.

FIG. 8 is a diagram illustrating an example of an input screen 300 for inputting job offer data in the information input terminal 20.
As shown in FIG. 8, an input screen 300, for example, a job registration input screen, includes a company name 301, a shop name 302, a job type 303, a working day 304 per week, a working hour 305 per day, a working hour Data such as a band 306, work day 307, salary 308, employment form 309, post 310, necessary qualifications / skills 311, benefits 312, and PR point 313 are displayed. In this example, the company name 301, the company name 302, the job type 303, the work days 304 per week, the work hours 305 per day, the work hours 306, the work days 307, the salary 308, the employment form 309, the job title 310, Necessary qualifications / skills 311, benefits 312, and PR points 313 are displayed in order from the top.

  Here, for example, for the company name 301, when the candidate display button 301a is pressed, a transition is made to a selection screen on which the candidate company name is displayed, and the company name is selected by selecting the company name on the selection screen. Is done. In addition, when the candidate display button 302a is pressed, the workplace store name 302 is changed to a selection screen on which a candidate workplace store name is displayed, and is input by selecting the workplace store on the selection screen. The Also, regarding the job type 303, when the candidate display button 303a is pressed, a transition is made to a selection screen on which the candidate job type is displayed, and the job type is selected by selecting the job type on the selection screen. The working days 304 are selected and input from among those displayed on the plurality of pull-down display portions 304a and 304b. As for the working hours 305, “4 hours”, “less than” (that is, “less than 4 hours”), etc. are selected and inputted from among the plurality of pull-down display portions 305a and 305b displayed. The work hours 306 are also selected and input from among the ones displayed on the plurality of pull-down display sections 306a and 306b, such as “10 am”, “2 pm” (that is, “10 am to 2 pm”), etc. Is done. Further, the working day 307 is entered by selecting a working day on the selection screen when the candidate working button 307a is pressed and the candidate working day is displayed. As for salary 308, “hourly wage”, “850 yen”, “more than” (that is, “hourly wage more than 850 yen”) or the like is selected and input from among the plurality of pull-down display sections 308a, 308b, 308c. . The employment form 309 is input by selecting the check boxes 309a, 309b, and 309c for “part”, “part-time job”, and “regular employee”. Further, regarding the post 310, when the candidate display button 310a is pressed, the screen shifts to a selection screen on which the candidate post is displayed, and is input by selecting the post on the selection screen. Also, necessary qualifications / skills 311 are entered by selecting the qualifications / skills on the selection screen when the candidate display button 311a is pressed and the selection screen is displayed. The In addition, for the welfare program 312, when the candidate display button 312 a is pressed, a transition is made to a selection screen that displays the contents of the candidate welfare program. On the selection screen, “transportation full payment”, “complete social insurance”, etc. Entered by selecting welfare content. The PR point 313 is input as text.

  Then, when a confirmation button 314 such as “save and exit this condition” at the bottom of the input screen 300 is pressed, the information input terminal 20 transmits various data input on the input screen to the data management server 100. To do. Thereby, the data management server 100 stores the transmitted various data in the recruitment database 122.

  Further, at the bottom of the input screen 300, there is a search execution button 315 such as “save this condition and search for a candidate for a recruitment medium”. When the search execution button 315 is pressed, the information input terminal 20 transmits various data input from the input screen 300 to the data management server 100, and the data management server 100 stores the various data in the recruitment database 122. , Start searching for recruitment candidates.

FIG. 9 is a diagram illustrating an example of the medium order database 123.
As shown in FIG. 9, the medium ordering database 123 includes various data such as a medium ordering ID, an advertisement placement fee, an advertisement placement time, an advertisement placement period, and an advertisement placement area as medium ordering data, and these data are associated with each other. Yes. Here, the advertisement placement fee is a cost for the job seeker to place the job advertisement on the job recruiting medium.

FIG. 10 is a diagram illustrating an example of the medium order ID database 124.
As shown in FIG. 10, the medium order ID database 124 includes various data such as a medium order ID, a recruitment medium ID, and a recruitment ID as medium order ID data, and these data are associated with each other. In this medium order ID database 124, the job offer medium ID of the job offer medium that has been ordered is associated with the job offer ID of the job offerer that displays the job offer information using the job offer medium, and is managed by the medium order ID.

FIG. 11 is a diagram illustrating an example of the applicant database 125.
As shown in FIG. 11, the applicant database 125 includes various data such as an applicant ID, name, gender, age, address, and contact information as applicant data, and these data are associated with each other. For example, the applicant data is data that is input from the communication terminal 10 and acquired by the data management server 100 through communication between the communication terminal 10 and the data management server 100.

FIG. 12 is a diagram illustrating an example of the application database 126.
As shown in FIG. 12, the application database 126 includes various data such as an application ID, a recruitment medium ID, an applicant ID, a recruitment ID, and an application date and time, and these data are associated with each other. For example, when the application data is applied to the job via the job posting medium by the communication terminal 10, the applicant ID of the applicant, the job posting medium ID of the job posting medium, and the job offer ID of the job posting are associated with each other. It is stored in the application database 126 and managed by the application ID.

FIG. 13 is a diagram illustrating an example of the employment progress situation database 127.
As illustrated in FIG. 13, the employment progress database 127 includes various data such as application IDs and employment status as employment progress data, and these data are associated with each other. For example, the hiring status is “Recruited” indicating that it has been hired, “Not hired” but “Interviewed” indicating that the interview has been completed, and “Hiring” and “Interviewed” have not been reached Is any information such as “Applied” indicating that the application has been completed. That is, the employment progress status data is performance data regarding the employment progress status. For example, referring to the above-mentioned application data, it is possible to identify a job or a job medium whose employment progress status is “recruitment”, “interview completed”, or “application completed” in the employment progress status data. The employment progress status data is data acquired by the data management server 100 by being input from the information input terminal 20 through communication between the information input terminal 20 operated by the personnel manager and the data management server 100.

FIG. 14 is a block diagram illustrating a configuration example of the processing unit 130.
As illustrated in FIG. 14, the processing unit 130 includes a medium search start determination unit 131, a recruitment data acquisition unit 132, a medium order data acquisition unit 133, an application data acquisition unit 134, an employment progress status data acquisition unit 135, a comparison unit 136, An extraction unit 137, an output processing unit 138, and a medium ordering data generation unit 139 are included.

  Here, when there is a job search request, the medium search start determination unit 131 starts the job search medium candidate output process. Moreover, the job offer data acquisition unit 132 acquires job offer data. For example, the recruitment data acquisition unit 132 acquires the recruitment data directly input from the information input terminal 20 or the recruitment data from the recruitment database 122. In addition, the medium order data acquisition unit 133 acquires medium order data from the medium order database 123. In addition, the application data acquisition unit 134 acquires application data from the application database 126. Further, the recruitment progress status data acquisition unit 135 acquires recruitment progress status data from the recruitment progress status database 127. Further, the comparison unit 136 compares the data acquired by the respective units. Further, the extraction unit 137 extracts job offer candidates based on the comparison result of the comparison unit 136. Further, the output processing unit 138 outputs the extraction result of the extraction unit 137. The medium ordering data generation unit 139 executes medium ordering data generation processing for generating medium ordering data when an order for a recruitment medium is made. Hereinafter, the job recruitment medium candidate output process and the medium ordering data generation process will be described.

FIG. 15 is a flowchart of an example of the job recruitment medium candidate output process.
As shown in FIG. 15, first, as a process of step S11, the medium search start determination unit 131 determines whether or not there is a search request for a recruitment medium. For example, when the job search medium search execution button 315 as shown in FIG. 8 is pressed on the information input terminal 20, it is determined that there is a job search medium search request. When the medium search start determination unit 131 determines that there is a request for searching for a recruitment medium, the medium search start determination unit 131 proceeds to the process of step S12.

  In the subsequent step S12, the recruitment data acquisition unit 132 is referred to as recruitment data (hereinafter referred to as designated recruitment data) for the recruitment (hereinafter referred to as designated recruitment) designated at the time of the search for the recruitment medium by the processing in step S12. ) To get. For example, when the job execution medium search execution button 315 as shown in FIG. 8 is pressed, the recruitment data input from the input screen 300 as shown in FIG. 8 is acquired as the designated recruitment data.

  As processing of Step S13, job offer data acquisition part 132 acquires job offer data (henceforth medium order job offer data) of a job offer (henceforth medium order job offer) with a career record ordering result. That is, the recruitment data acquisition unit 132 acquires the recruitment data associated with the recruitment medium by the medium order ID database 124 and stored in the recruitment database 122 as the medium order recruitment data.

As the processing in subsequent step S <b> 14, the medium order data acquisition unit 133 acquires medium order data from the medium order database 123.
As subsequent processing in step S <b> 15, the application data acquisition unit 134 acquires application data from the application database 126.

As processing of subsequent step S <b> 16, the recruitment progress status data acquisition unit 135 acquires recruitment progress status data from the recruitment progress status database 127.
As the process of subsequent step S17, the comparison unit 136 compares the designated job data and the medium order job data acquired by the processes of steps S12 and S13. For example, the comparison unit 136 compares data of the same item in the designated job data and medium order job data.

  As processing of subsequent step S18, the extracting unit 137 employs the job search medium based on the comparison result of step S17, the medium ordering data obtained by the processing of step S14, step S15, and step S16, the application data, and the employment progress status data. Extract candidates. At this time, the extraction unit 137 performs extraction with reference to the medium order ID database 124 or the like as necessary in order to associate each data. A specific example of the extraction process will be described in detail later.

  As the process of subsequent step S19, the output processing unit 138 outputs the candidate for the recruitment medium extracted by the process of step S18. Specifically, the output processing unit 138 lists candidates for the recruitment medium extracted by the process of step S19 to the information input terminal 20 that has requested the search for the recruitment medium in the process of step S11 (hereinafter referred to as a recruitment medium candidate list). And send as). As a result, the information input terminal 20 displays the recruitment medium candidate list on the monitor 22.

FIG. 16 is a flowchart of an example of medium ordering data generation processing.
As shown in FIG. 16, first, as the process of step S31, the medium ordering data generation unit 139 determines whether or not an order for a recruitment medium has been made. For example, it is determined whether or not an order for a recruitment medium has been made to a publisher or an advertising agency via the recruitment medium candidate list output by the aforementioned recruitment medium candidate output process. When the medium order data generation unit 139 determines that an order for the recruitment medium has been made, the medium order data generation unit 139 proceeds to the process of step S32.

  In the subsequent step S32, the medium order data generation unit 139 determines the medium order ID, the posting fee on the job posting medium, the posting period of the job posting medium, the posting period, and the like for the job posting medium whose order has been confirmed in the process of step S31. Correspondingly, it is stored in the medium order database 123 as medium order data.

  As the processing of the subsequent step S33, the medium order data generation unit 139 stores the job search data associated with the job posting medium, that is, the job posting data of the job posting posted on the job posting medium in the job posting database 122 as the medium order job posting data. . That is, the medium ordering data generation unit 139 stores the medium ordering ID stored in the medium ordering database 123 in the process of step S32, the medium ID of the recruitment medium that has confirmed the order in the process of step S31, and the recruitment associated with the recruitment medium. The job order ID stored in the database 122 is associated with the job ID and stored in the medium order ID database 124 as medium order ID data. At this time, the medium ordering data generation unit 139 notifies the medium company or the agent that an order for the recruitment medium has been made by e-mail or the like.

Next, the extraction process and the like in the above-described recruitment medium candidate output process will be described in detail.
For example, the extraction unit 137 has excellent recruitment results and application results as a recruitment medium suitable for the designated recruitment job from among a plurality of recruitment media while referring to the employment progress status data based on the comparison result in the comparison unit 136. Extract at least one job posting medium.

Here, a specific example based on the employment record is as follows.
For example, the extracting unit 137 obtains the similarity between the designated job data and the medium ordering job data from the comparison result in the comparing unit 136, and extracts at least one job medium having a higher similarity from the plurality of job posting media. To do. Here, for example, the extraction unit 137 determines that the degree of similarity is higher when the number of items that match between the designated job data and the medium order job data is large. Then, for example, the extraction unit 137 refers to the employment progress data and extracts at least one job medium with a larger number of people who have been hired as having better employment results from the extracted plurality of job recruitment media. To do. Here, the recruitment medium with a large number of people who have been recruited is a recruitment medium with a large number of situations that are “recruited” in the recruitment progress data. In addition, the extraction unit 137 extracts, for example, at least one recruitment medium with a larger number of people who have been employed within a preset period. At this time, the extraction unit 137 extracts a job recruiting medium based on the medium ordering data, for example. Here, the extraction unit 137, for example, uses a recruitment medium with a lower unit price of the advertisement placement fee (advertising placement fee / number of people who have been hired) per person who has been hired, that is, has a higher cost-effectiveness (ROI). Extract at least one recruitment medium with a good track record of hiring high recruitment media.

  Then, the output processing unit 138 transmits to the information input terminal 20 a recruitment medium candidate list including the recruitment medium candidates extracted in this way. At this time, for example, the output processing unit 138 prioritizes candidate recruiting media in the order of excellent recruitment results, and transmits the media candidate list to the information input terminal 20.

In addition, specific examples based on application results are as follows.
For example, the extraction unit 137 obtains the similarity between the first job search data and the second job search data from the comparison result in the comparison unit 136, and at least one of the plurality of job search media with the higher similarity is obtained. Extract job openings. Then, for example, the extraction unit 137 extracts at least one job recruitment medium having a larger number of applicants who have applied for more excellent application results from the extracted plurality of job recruitment media. Here, recruitment media with a large number of applicants include those that post recruited jobs, so it is “Applied”, “Interviewed”, “Recruited” in the recruitment progress data. It is a recruitment medium with a large number of situations. In addition, the extraction unit 137 extracts, for example, at least one recruitment medium having a larger number of applicants who have applied within a preset period. At this time, the extraction unit 137 extracts a job recruiting medium based on the medium ordering data, for example. Here, for example, the extracting unit 137 has a lower recruitment medium with a lower unit price (advertisement fee / number of applicants) for the number of people who have applied (number of applicants), that is, a higher cost-effectiveness (ROI). Extract at least one recruitment medium with a good track record of hiring high recruitment media.

  Moreover, the extraction part 137 can also extract the recruitment medium in consideration of the results of both the employment results and the application results, for example. For example, the extraction unit 137 employs a recruitment medium with a lower unit price (advertisement fee / number of applicants) of the advertisement placement fee per the number of applicants (number of applicants) when there is no recruitment medium with a proven track record. Extract at least one recruitment medium that is excellent.

  As a more specific example of the processing as described above, the extraction unit 137 extracts the job posting medium associated with the medium order job posting data in which the designated job posting data and the work area, the business type, and the job type match or are similar, From among the plurality of extracted job posting media, job posting media with a lower unit price of advertisement posting fee (advertising posting fee / number of people who have been hired) per number of people who have been hired are extracted. At this time, when there is no recruitment medium with a track record of adoption, the extraction unit 137 extracts a recruitment medium with a lower unit price (advertisement fee / number of applicants) of the advertisement placement fee per number of applicants (number of applicants). To do. Here, the case where the work areas are the same or similar is a case where the work address of the designated job and the work address of the medium ordering job are within a preset area.

  In addition, for example, the extraction unit 137 extracts a recruitment medium associated with the medium order recruitment data whose age and address area are the same as or similar to those of the designated recruitment data, and the recruitment medium is adopted from the extracted plurality of recruitment media. Recruitment media with lower unit prices (advertising fees / number of people who have been hired) per person. At this time, when there is no recruitment medium with a track record of adoption, the extraction unit 137 extracts a recruitment medium with a lower unit price (advertisement fee / number of applicants) of the advertisement placement fee per number of applicants (number of applicants). To do. Here, the case where the address areas match or are similar is the case where the address location of the designated job offer and the address location of the medium order offer job are within a preset area.

  Note that the above-described similarity may be based on the similarity obtained by comparing the data of the same item, in addition to the above-described number of items with which the data matches. For example, when the business type is close or the job type is close, the degree of similarity may be high.

(Operation, action, etc.)
FIG. 17 is a diagram showing a series of processes in the job offer medium proposal system 1. With reference to FIG. 17, an example of operation, action, and the like in the recruitment medium proposal system 1 will be described below.
For example, the first job seeker X applies for a job search via the job posting medium A by the communication terminal 10X (step S201), and the second job seeker Y applies for the job search via the job posting medium B by the communication terminal 10Y ( In step S202), the third job seeker Z applies for a job recruitment via the job recruitment medium C using the communication terminal 10Z (step S203). On the other hand, the data management server 100 acquires information about the applicant, and stores the applicant data and the application data in the applicant database 125 and the application database 126.

Further, the recruiting person rewrites the data on the employment status according to the employment status of the applicant by using the information input terminal 20 (step S204). As a result, the data of the employment status item in the employment progress status data in the employment progress status database 127 is updated.
On the other hand, when there is a job search medium search request from the information input terminal 20, the data management server 100 starts a job search medium candidate output process (step S205). In the recruitment medium candidate output process, the recruitment data acquisition unit 132 acquires the specified recruitment data specified at the time of the search for the recruitment medium and the media order recruitment data from the recruitment database 122. Further, the medium ordering data acquisition unit 133 acquires medium ordering data from the medium ordering database 123, the application data acquisition unit 134 acquires application data from the application database 126, and the employment progress status data acquisition unit 135 uses the recruitment progress status database 127. Get hiring progress data from. Further, the comparison unit 136 compares the acquired data, and the extraction unit 137 extracts a candidate for a recruitment medium based on the comparison result. Then, the output processing unit 138 transmits the recruitment medium candidate list to the information input terminal 20 that has made a search request for the recruitment medium (step S206).

  When there is an order for a recruitment medium, the data management server 100 starts a medium order data generation process (step S207). In the medium order data generation process, the medium order data generation unit 139 associates the medium order ID, the advertisement placement fee on the medium, the posting period of the job medium, the posting period, and the like for the ordered job medium. The data is stored in the medium order database 123 as data. The medium order data generation unit 139 also stores the medium order ID stored in the medium order database 123, the medium ID of the job medium that confirmed the order, and the job data stored in the job database 122 in association with the job medium. The medium order ID data 124 is stored in the medium order ID database 124 as medium order ID data. In the recruitment medium candidate output process, the medium order recruitment data stored in the recruitment database 122 in this way is compared with the designated recruitment data.

(Effect in embodiment)
(1) The recruitment medium proposal system 1 extracts at least one recruitment medium suitable for the designated recruitment data from the plurality of recruitment media based on the designated recruitment data, the medium order recruitment data, and the employment progress status data. Thus, it is possible to extract at least one job recruiting medium suitable for the designated job based on the past data on job postings in the past. As a result, the recruitment medium extraction system can extract the recruitment medium that matches the designated recruitment.

(2) The recruitment medium suggestion system 1 can extract a recruitment medium that is highly likely to be employed by a job seeker in a designated recruitment by extracting a recruitment medium that has an excellent employment record.
(3) The recruitment medium suggestion system 1 can extract a recruitment medium that is likely to be employed by a job seeker in a designated recruitment by extracting a recruitment medium having a larger number of people who have been employed.

(4) The recruitment medium suggestion system 1 can extract a recruitment medium with a high possibility that a job seeker will apply for a designated recruitment by extracting a recruitment medium with excellent application results.
(5) The recruitment medium suggestion system 1 can extract a recruitment medium with a high possibility that a job seeker will apply for a designated recruitment by extracting a recruitment medium with a larger number of applicants.

(6) The recruitment medium proposal system 1 uses the comparison result between the designated recruitment data and the medium order recruitment data, and uses the similarity between the designated recruitment data and the medium order recruitment data as an index, and the recruitment medium matched by the designated recruitment Can be extracted.
(7) The recruitment medium proposing system 1 can extract at least one recruitment medium suitable for the designated recruitment by extracting the recruitment medium using the medium ordering data and taking into account the data related to the recruitment medium.

(8) The recruitment medium suggestion system 1 can extract a recruitment medium that can reduce the recruitment cost by extracting a recruitment medium with a lower unit price of the advertisement insertion fee per person who has been employed.
(9) The recruitment medium suggestion system 1 can extract a recruitment medium that can reduce the application cost by extracting a recruitment medium with a lower unit price of the advertisement insertion fee per application number.

(10) The recruitment medium proposal system 1 considers both the recruitment record and the application record by extracting the recruitment medium with a lower unit price of the advertisement insertion fee per application person when there is no recruitment medium with the recruitment record. Thus, at least one job recruiting medium suitable for the designated job posting can be extracted.
(11) The recruitment medium proposal system 1 can extract a recruitment medium that matches the designated recruitment by extracting a recruitment medium having a higher degree of similarity between the designated recruitment data and the medium ordering recruitment data.

(12) The designated job data and medium ordering job data include at least the place of work, the type of work, and the type of work, and the job offer medium suggestion system 1 is at least suitable for the designated job based on easily obtainable information. A single recruiting medium can be extracted.
(13) The recruiter can confirm the information on the recruitment medium extracted by the recruitment medium proposal system 1.

  In the above description of the first embodiment, the medium ordering job constitutes the first job, for example. Further, the designated job constitutes, for example, a second job. The recruiter of the medium order recruitment job constitutes a first recruiter, for example. Moreover, the job offerer of a designated job constitutes a second job offerer, for example. Further, the medium ordering job offer data constitutes first job offer data, for example. Moreover, the designated job data constitutes second job data, for example.

In addition, at least one of the communication unit 101 and the job recruitment data acquisition unit 132 (the function in which the job recruitment data acquisition unit 132 acquires media ordering job recruitment data) of the data management server 100 constitutes a first acquisition unit, for example. In addition, at least one of the communication unit 101 and the employment progress status data acquisition unit 135 of the data management server 100 constitutes a first acquisition unit, for example. In addition, at least one of the communication unit 101 and the recruitment data acquisition unit 132 (the function in which the recruitment data acquisition unit 132 acquires designated job data) of the data management server 100 constitutes, for example, a second acquisition unit. Further, at least one of the communication unit 101 and the medium ordering data of the data management server 100 constitutes, for example, a third acquisition unit.
Further, the job recruitment medium data and the medium ordering data constitute, for example, job recruitment medium related data.

(Other examples of this embodiment)
In this embodiment, the recruiter related to the designated job and the recruiter related to the medium ordering job may be the same person or different persons. That is, the recruitment medium proposal system 1 can be constructed as a system that extracts an appropriate recruitment medium as a closed system in a company, and in a service for proposing an appropriate recruitment medium to a recruitment of another company. It can also be constructed.

Further, as another example of the embodiment, the data management server 100 may be limited to extracting a job recruitment medium candidate list. In this case, for example, the data management server 100 registers the extracted list in the database.
As another example of the embodiment, the extraction unit 137 can also extract a job recruitment medium with excellent interview results from the job recruitment media. For example, the extraction unit 137 extracts a job recruitment medium having a larger number of people who have advanced to the interview before the employment from the job recruitment media. Here, recruitment media with a large number of people who have been interviewed include those that posted the recruited jobs, so the number of situations where “interviewed” or “recruited” in the recruitment progress data. There are many recruitment media. In addition, the extraction unit 137 extracts, for example, a recruitment medium with a larger number of people who have reached an interview within a preset period. At this time, for example, the extraction unit 137 uses a low-cost recruitment medium (advertisement fee / number of people who have been interviewed) per person who has been interviewed, that is, cost-effectiveness (ROI). Extract a higher recruitment medium.

  Furthermore, instead of the interview results, “selection results” including document selection can be used. The selection results are managed in the recruitment progress data as “document selection passing” indicating that the document selection has been passed, and “writing test passing” indicating that the written examination has been passed in addition to the document selection. "And a job posting medium with a large number of situations" passed the written test "are extracted as job posting media with excellent selection results. Furthermore, “Interview Test Pass” indicating that the interview test has passed (in this case, “Primary Interview Pass”, “Secondary Interview Pass” may be managed separately in the interview stage), and finally adopted “Recruitment” or the like indicating that it has been reached may also be managed as “selection results”.

  Moreover, the extraction part 137 can also extract a recruitment medium in consideration of all the results of application results, interview results, and employment results, for example. For example, the extraction unit 137 extracts a recruitment medium with an excellent interview record when there is no recruitment medium with a proven track record, and when there is no recruitment medium with a proven track record with no recruitment track record, Recruit media with excellent application results based only on application results.

  As another example of the embodiment, the extraction unit 137 can extract at least one job recruiting medium suitable for the designated job posting based on the attribute of the job seeker. In this case, the data management server 100 stores the attributes of job seekers (including recruited persons) who applied for the job recruitment via the job recruiting medium in association with the job recruiting medium data or the job recruiting data (medium ordering job recruiting data). The extraction unit 137 also extracts at least one job recruitment medium suitable for the designated job by referring to the attribute of the job seeker. Here, for example, the attributes of the job seeker are a conversational language (such as English), a place of employment, gender, age, and the like.

  As another example of the embodiment, the extraction unit 137 can extract at least one job recruiting medium suitable for the designated job posting based on the job seeker's working record. In this case, the data management server 100 stores the employment results of job seekers (including recruited persons) who applied for the job recruitment through the job recruiting medium in association with the job recruiting medium data or the job recruiting data (medium ordering job recruiting data). The extraction unit 137 also extracts at least one job recruitment medium suitable for the designated job posting with reference to the job experience of the job seeker. Here, for example, the working results include a long working period and good personnel evaluation.

Further, as another example of the embodiment, the data management server 100 may use at least one job medium suitable for the designated job from a plurality of job media based on the employment progress data without referring to the job data. Can also be extracted.
As another example of the embodiment, the data management server 100 can also start the recruitment medium candidate output process and transmit the recruitment medium candidate list regardless of whether or not there is a search request for the recruitment medium. For example, the data management server 100 starts the recruitment medium candidate output process at an arbitrary timing, a timing at which information is updated, or a timing at which the recruitment medium candidate list is updated, and transmits the recruitment medium candidate list.

As a result, the person in charge can receive the recommended recruitment medium candidate list at an appropriate timing after inputting the recruitment data from the information input terminal 20.
As another example of the embodiment, various types of databases may have other configurations and items. For example, the recruitment medium database 121 and the medium order database 123 can be configured as one database.

As another example of the embodiment, the display screen may have other configurations.
In the present embodiment, at least one of the first job search data related to the first job search performed by the first job seeker via the job search medium in the past, and the job applicant's application status and employment status for the first job search. First acquisition means for acquiring one or more actual result data associated with the job search medium; and second acquisition means for acquiring second job search data relating to a second job search performed by the second job seeker. Extraction means for extracting at least one job medium suitable for the second job from a plurality of job jobs based on the first job data, the second job data, and the performance data; The recruitment medium extraction system having

  Further, in the present embodiment, the acquisition means includes first job search data related to the first job that the first job seeker has made via the job search medium in the past, and the job applicant's application status for the first job and The acquisition step of acquiring at least one of the recruitment statuses and the performance data associated with the recruitment medium, the second recruitment data related to the second recruitment performed by the second recruiter, and the extracting means include the first means Extracting at least one job medium suitable for the second job from a plurality of job media based on the job data, the second job data, and the performance data of the computer, and executing on a computer The program to be realized is realized.

  In the present embodiment, at least one of the first job search data related to the first job search performed by the first job seeker via the job search medium in the past, and the job applicant's application status and employment status for the first job search. An acquisition step of acquiring the second job data relating to the second job performed by the second job seeker, the first job data, the second job data, Based on the job posting data and the result data, an extraction step of extracting at least one job searching medium suitable for the second job posting from a plurality of job posting media is realized.

In the present embodiment, the program may be stored in a storage medium. In this case, each device or the like reads a program stored in the storage medium and executes processing based on the read program.
Also, while embodiments of the present invention have been disclosed, it will be apparent to those skilled in the art that changes may be made without departing from the scope of the present invention. All such modifications and equivalents are intended to be included in the following claims.

  DESCRIPTION OF SYMBOLS 1 Recruitment medium proposal system, 10 Communication terminal, 20 Information input terminal, 100 Data management server, 120 Storage part, 121 Recruitment medium database, 122 Recruitment database, 123 Medium ordering database, 124 Medium ordering ID database, 125 Applicant database, 126 Application database, 127 recruitment progress database, 130 processing unit, 131 medium search start determination unit, 132 recruitment data acquisition unit, 133 medium order data acquisition unit, 134 application data acquisition unit, 135 recruitment progress data acquisition unit, 136 comparison unit 137 Extraction unit, 138 Output processing unit, 139 Medium ordering data generation unit

Claims (16)

The job posting medium includes at least one of the first job search data related to the first job posting that the first job seeker has made through the job posting medium in the past, and the job applicant's application status and employment status for the first job search. First acquisition means for acquiring performance data associated with the;
Second acquisition means for acquiring second job data related to the second job performed by the second job seeker;
Extracting means for extracting at least one job medium suitable for the second job from a plurality of job jobs based on the first job data, the second job data and the performance data;
A recruitment medium extraction system. A comparison means for comparing the first job data and the second job data;
The extraction means extracts at least one recruitment medium with excellent employment results from a plurality of recruitment media, referring to the employment status of the performance data based on the comparison result of the comparison means. The recruitment medium extraction system described in 1.   The recruitment medium extraction system according to claim 2, wherein the extraction unit extracts at least one job recruitment medium having a larger number of people who have been recruited from a plurality of job recruitment media as having better employment results. A comparison means for comparing the first job data and the second job data;
2. The extraction means extracts at least one recruitment medium with excellent application results from a plurality of recruitment media while referring to the application status of the performance data based on the comparison result of the comparison means. 4. The recruitment medium extraction system according to any one of items 1 to 3.   5. The recruitment medium extraction system according to claim 4, wherein the extraction means extracts at least one recruitment medium having a larger number of applicants from among a plurality of recruitment media as having a better application record. Further comprising third acquisition means for acquiring job medium related data indicating data relating to the job medium;
The extraction means is at least one suitable for the second job out of a plurality of job posting media based on the first job posting data, the second job posting data, the performance data, and the job posting media related data. The recruitment medium extraction system according to any one of claims 1 to 5, wherein the recruitment medium is extracted. The recruitment medium related data includes at least an advertising fee for the recruitment medium,
The extraction means refers to the employment status of the performance data, and selects a recruitment medium with a lower unit price of the advertising fee per person who has been employed from among a plurality of recruitment media for the second recruitment. The recruitment medium extraction system according to claim 6, wherein the recruitment medium is extracted as at least one recruitment medium. The recruitment medium related data includes at least an advertising fee for the recruitment medium,
The extracting means refers to the application status of the performance data, and selects from among a plurality of job recruitment media a job recruitment medium with a lower unit price of the advertising publication fee per applicant suitable for the second job offer. The recruitment medium extraction system according to claim 6 or 7, wherein the recruitment medium is extracted as a recruitment medium. The recruitment medium related data includes at least an advertising fee for the recruitment medium,
The extraction means refers to the employment status of the performance data, and selects a recruitment medium with a lower unit price of the advertising fee per person who has been employed from among a plurality of recruitment media for the second recruitment. Extracted as at least one recruitment medium, and when there is no recruitment medium that has been employed in the employment status of the performance data, refer to the application status of the performance data, and the advertisement per number of applicants from a plurality of recruitment media The recruitment medium extraction system according to any one of claims 6 to 8, wherein a recruitment medium with a lower posting fee unit price is extracted as at least one recruitment medium suitable for the second recruitment. The performance data includes the attribute of the job seeker,
The extraction means extracts at least one job recruitment medium suitable for the second job recruitment from a plurality of job recruitment media based on the attributes of job seekers in the performance data. The recruitment medium extraction system according to the item. The performance data includes the employment results of the job seeker,
11. The extraction unit according to claim 1, wherein the extracting unit extracts at least one job medium suitable for the second job from a plurality of job media based on a job record of a job seeker in the result data. The recruitment medium extraction system according to item 1.   The extracting means selects at least one job medium having a higher similarity between the first job data and the second job data from among a plurality of job media. The recruitment medium extraction system according to any one of claims 1 to 11, which is extracted as a recruitment medium.   The recruitment medium extraction system according to any one of claims 1 to 12, wherein the first job recruitment data and the second job recruitment data include at least a work address, a work industry, and a work type.   The recruitment medium extraction system according to any one of claims 1 to 13, further comprising a presentation unit that presents information on the recruitment medium extracted by the extraction unit to the second recruiter. The acquisition means includes at least one of first job search data related to the first job that the first job seeker has made via a job posting medium in the past, and job applicant application status and employment status for the first job search. And the acquisition step which acquires the performance data linked | related with the said job recruitment medium, and the 2nd job offer data regarding the 2nd job offer which a 2nd job seeker performs,
Extraction means for extracting at least one job recruitment medium suitable for the second job recruitment from a plurality of job recruitment media based on the first job offer data, the second job offer data, and the result data. Steps,
A program that causes a computer to execute. The job posting medium includes at least one of the first job search data related to the first job posting that the first job seeker has made through the job posting medium in the past, and the job applicant's application status and employment status for the first job search. An acquisition step of acquiring performance data associated with the second job data relating to the second job performed by the second job seeker;
An extraction step of extracting at least one job medium suitable for the second job from a plurality of job jobs based on the first job data, the second job data, and the performance data;
A method for extracting a job posting medium.

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