JP2008204367A - Job seeker assurance system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To solve the problem that it is difficult to determine reliability (quality) of a job seeker even by using a technology for assuring reliability of educational background/career in resume data based on authentication data when it is difficult to determine quality of the job seeker from the resume since the resume written by the job seeker cannot be modified easily. <P>SOLUTION: This job seeker assurance system calculating reliability of a job seeker as an index from a resume and the like based on a predetermined evaluation rule is provided with an application history information acquiring part acquiring application history information, an investigation history information acquisition part acquiring investigation history information, an evaluation rule holding part holding an evaluation rule, a calculation part calculating a personal reliability evaluation index based on the application history information and investigation history information, and an accumulation part accumulating the personal reliability evaluation index. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a technique for guaranteeing job seekers including dispatch.

  In recent years, there have been many scandals involving companies, including public organizations such as the police and schools. Once a scandal is discovered, the social credibility of the company is significantly reduced, resulting in an absorption-type merger with other companies in the same industry, or even bankruptcy in the worst case.

  By the way, the occurrence of such scandals is thought to be largely due to the quality of the employees who make up the company, in addition to the constitution of the company. Therefore, each company should check the quality of the job seeker by judging the quality of the job seeker by browsing the resume and job history by the personnel in charge, and actually interviewing. Yes.

  Further, Patent Document 1 relates to an IC card resume system for operating history information data by using an IC card in which personal history information is described instead of a resume and simplifying job seeking / recruitment. Technology is disclosed.

And in this patent document 1, in addition to the educational background and work history that an individual inputs as history information, the authentication data of the educational background and work history is recorded in an area that can be filled only by schools and companies, and can be referred to as needed. A technique for ensuring the reliability of the contents of the resume data is also disclosed.
JP 2002-032719 A

  However, since the job seeker himself / herself creates the resume and job history, the contents of the description can be altered in any way by a malicious person. In addition, since interviews are conducted only a few times, it must be said that it is difficult to determine all the “quality” of the job seeker through resumes and interviews. Moreover, with respect to temporary staff, there is a problem that it is difficult to judge the quality of the temporary staff, as is the case with the actual situation that there is no choice but to trust the destination.

  In fact, for example, after a teacher's indecent problem was discovered, it was found that the teacher had a similar problem in his predecessor and had a history of arrest.

  In addition, since only the reliability (accuracy) of the description regarding the educational history and work history of the resume can be found by the authentication data in the technique of Patent Document 1, it is necessary to judge the “reliability (quality)” of the person. There is still a problem that is difficult. In addition, there is a possibility that reliability cannot be guaranteed because it is not accurate even if it is a mere error.

  In order to solve the above-mentioned problem, the present invention has the following configuration, and instead of “resume reliability”, “reliability of job seeker” is indicated from a resume based on a predetermined evaluation rule. Provide a first job seeker guarantee system to calculate as

  In other words, an application history information acquisition unit that acquires application history information, which is history information of job seekers based on a resume or / and job history, with respect to a predetermined item, and history information of job seekers based on surveys, etc. An evaluation that holds an evaluation rule for calculating a person reliability evaluation index based on the difference between an application history information and an investigation history information, an investigation history information acquisition unit that obtains certain investigation history information for a predetermined item A rule holding unit, a calculation unit that calculates a difference between the acquired application history information and the acquired survey history information, and calculates a person reliability evaluation index from the difference based on the held rule, and a calculated person A job seeker guarantee system having a storage unit for storing a reliability evaluation index.

  Furthermore, a second job-seeking person guarantee system for correcting the evaluation rules for calculating the person reliability evaluation index by feeding back information after actual employment is provided.

  Specifically, on the basis of the above-mentioned first job seeker guarantee system, a post-employment history information acquisition unit that acquires post-employment history information of a job applicant accepted from an employer regarding a predetermined item, and an acquired post-employment A deviation index calculation unit that compares historical information with the accumulated person reliability evaluation index of the person to calculate a deviation index from the actual person reliability evaluation index, and evaluation based on the calculated deviation index The job seeker guarantee system further includes an evaluation rule correction unit that corrects an evaluation rule held in the rule holding unit.

  A third job seeker guarantee system further provided with a function for determining a matching rate between a face photo of a resume and a face photo obtained through a survey is provided to prevent spoofing of the job seeker.

  Specifically, on the basis of the first or second job seeker guarantee system, the application history information acquisition unit has application face photo acquisition means for acquiring a job applicant's face photo as application history information, and an investigation history The information acquisition unit has a survey face photo acquisition unit that acquires a face photograph of the job seeker as the survey history information, and the evaluation rule holding unit holds a rule for calculating an image matching rate as a comparison rule for the acquired face photo It is a job seeker guarantee system.

  With the present invention configured as described above, for example, the false content of the reliability of a person who has increased the number of TOIEC by 10 points in the resume or who has not described the arrest / clearance history, etc. An index for judging the reliability of the person can be calculated in consideration of the degree and the degree.

  In addition, by using history information from surveys, it is not possible to know just the ordinary resume or the academic or professional history that the school or company fills in, as in the conventional technology. You can know the gender index.

  Further, by feeding back information after actual employment, it is possible to calculate the person reliability evaluation index more accurately. In addition, it is possible to prevent impersonation in job search activities by determining the face photo of the resume.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. Note that the present invention is not limited to these embodiments, and can be implemented in various modes without departing from the spirit of the present invention.

  In the first embodiment, claims 1 and 4 will be mainly described.

  In the second embodiment, claims 2 and 5 will be mainly described.

  In the third embodiment, claims 3 and 6 will be mainly described.

  Example 1

    <Overview>

  1 and 2 are diagrams for explaining an example of an outline of the job seeker guarantee system according to the present embodiment. Here, for example, ○ Fuku Taxi Company recruited drivers who can speak English everyday to adopt taxi drivers for foreign tourists. Then, a person named XX Taro wanted to adopt and submitted his own resume as shown in FIG.

  As shown in Fig. 1 (a), XX Taro obtained a Type 2 ordinary car license in 2007 and has a general English proficiency test score of 700 points. It seems that he can be expected to play an active role as a taxi driver. Therefore, the person in charge of affairs at Fuku Taxi uses the address, name, contact telephone number, or information on each item such as career, qualifications and special notes described in this resume as the job seeker guarantee system of this embodiment. Entered into a computer system with embedded.

  Eventually, the survey provided a survey form as shown in FIG. 1B, which was input to the computer system as well. In the job seeker guarantee system according to the present embodiment, a difference calculation process is performed for each corresponding item between the input resume information and the current survey form information. As a result, for the special note, a difference of “Drunk driving clearance history (2001)” that is not described in the resume was calculated.

  Since the clearance history is more than five years before the acquisition of the Type 2 ordinary license, there is no legal problem with obtaining the license. However, there are strict internal laws and regulations regarding drunk driving at Fuku Taxi Company. Therefore, in the job seeker guarantee system of the present embodiment, strict rules are defined and stored as data for the reliability evaluation of the person who made the false declaration regarding drunk driving.

  Therefore, in the computer system in which the job seeker guarantee system according to this embodiment is incorporated, the evaluation value “−5” for the item is calculated from the calculated difference. Also, there are other items that differ between the resume and the survey form, and “90 points” calculated from the total of the evaluation values is calculated as an index of the reliability of the person XX.

  Then, the calculated value is output to the terminal used by the person in charge of HR in Fuku Taxi, and the person in charge of HR who sees the value forgoes the adoption of XX Taro this time.

  In addition, in this recruitment of ○ Fuku taxi drivers, a person named □ △ Jiro also wanted to be adopted like ○ × Taro and submitted his own resume as shown in Fig. 2 (a). Therefore, the personnel manager of Fuku Taxi similarly inputs the information of each item to the computer system in which the job seeker guarantee system of this embodiment is incorporated.

  Then, information from the survey as shown in FIG. 2B is also input to the computer system, and the difference is calculated. As a result, regarding the score of the English proficiency test, the difference between the score described in the resume and “− (minus) 30 points” was actually calculated.

  However, since the score of this English proficiency test is not absolute, in the job hunting person guarantee system of this example, the reliability evaluation rule regarding false declaration of the score is not so strict, The evaluation value is “−1”. Then, in the computer system in which the job seeker guarantee system according to the present embodiment is incorporated, an index “98 points” relating to the reliability of the person □ Δ Jiro is calculated together with other calculated differences.

  Then, the calculated index is output to the terminal used by the person in charge of the taxi clerk, and the person in charge who sees the value decides to adopt □ △ Jiro.

  In this way, in the job seeker guarantee system of the present embodiment, when there is a false declaration in the resume description, it is not determined only by the reliability of the resume, but based on the content, degree, etc. of the false declaration. An index of the reliability of the job seeker can be calculated.

    <Functional configuration>

  FIG. 3 is a diagram illustrating an example of functional blocks in the job seeker guarantee system according to the present embodiment. As shown in this figure, the “job seeking person guarantee system” (0300) of the present embodiment includes an “application history information acquisition unit” (0301), an “investigation history information acquisition unit” (0302), and an “evaluation rule holding”. Part "(0303)," calculation part "(0304), and" storage part "(0305).

  Note that the functional blocks of the system described below can be realized as hardware, software, or both hardware and software. Specifically, if a computer is used, a CPU, a main memory, a bus, or a secondary storage device (a storage medium such as a hard disk, a nonvolatile memory, a CD-ROM or a DVD-ROM, and a reading drive for these media) Etc.), hardware components such as printing devices, display devices, other external peripheral devices, I / O ports for the external peripheral devices, driver programs for controlling the hardware, other application programs, and information input Examples include user interfaces that are used.

  In addition, these hardware and software process the program developed on the main memory with the CPU, and process, store, and output data stored on the memory and hard disk, and data input via the interface. It is used for processing or controlling each hardware component. The present invention can be realized not only as an apparatus but also as a method. A part of the invention can be configured as software. Furthermore, a software product used for causing a computer to execute such software and a recording medium in which the product is fixed to a recording medium are naturally included in the technical scope of the present invention (the same applies throughout the present specification). Is).

  The “application history information acquisition unit” (0301) has a function of acquiring application history information regarding a predetermined item. “Application history information” refers to history information of job seekers based on a resume or / and a job history, and examples of the “predetermined items” include the following.

  FIG. 4 is a diagram illustrating an example of predetermined items acquired by the application history information acquisition unit. As shown in this figure, “predetermined items” include, for example, name, family structure, address, permanent address, date of birth, age, fixed / mobile phone number, and award punishment (excluding driving-related items). . In addition, although not shown in the drawing, information such as educational background, work history, presence / absence of qualification, and the like can be given as well as a normal resume or work history.

  In addition, if it is a case of a taxi driver for foreign tourists as in the above outline example, for example, English proficiency test score, English conversation ability class, second class car license acquisition history, driving accident history, Driving violation / approval history, presence / absence of safe driving award, driving skill test score, etc. may be acquired as application history information. In addition, in order to calculate the reliability index of a person, the presence / absence of drinking habits, the presence / absence of smoking habits, the presence / absence of illegal drug intake habits, work attitude / work posture, and disorder of clothing In addition, information such as social common sense (test) may be acquired.

  The “application history information acquisition unit” is a combination of a user interface such as a GUI (graphical user interface) / CUI (command line user interface) or an input device, or an input / output of a communication network device, for example. The information for each item as shown in FIG. 4 is acquired.

  In the present invention, the “job seeker” is a concept that includes a hired person from the viewpoint of a company or the like, and therefore includes a person who does not conduct job seeking activities such as a so-called temporary employee.

  The “survey history information acquisition unit” (0302) has a function of acquiring survey history information with respect to predetermined items, and is realized by a GUI / CUI, an input device, or the like, for example, similar to the application history information acquisition unit described above. can do. And by input using them, it is possible to acquire information of each item as shown in FIG.

  “Survey history information” refers to job seeker history information based on a survey or the like. “Survey” is a survey performed by a third party other than the job seeker and related persons. For example, interviews with related persons and job seekers, or searches using various databases. The method performed by etc. is mentioned.

  Thus, accurate survey history information collected by a third party by the above-described survey or the like is acquired by the survey history information acquisition unit.

  And, by the following configuration, accurate information on the “predetermined items” acquired as the survey history information, such as name, address, age, punishment, license status, clearance history, etc., is obtained. It is compared with the application history information acquired in the department. As a result of the comparison, it is possible to obtain false or error (difference) in the application history information of the resume.

  The “evaluation rule holding unit” (0303) has a function of holding the evaluation rule, and can be realized by a recording medium such as an HDD, a flash memory, or a portable recording disk. The held “evaluation rule” refers to a rule for calculating a person reliability evaluation index based on the difference between the application history information and the survey history information.

  FIG. 5 is a conceptual diagram illustrating an example of evaluation rules held in the evaluation rule holding unit. As shown in this figure, the evaluation rule includes, for example, data in which a numerical value indicating the calculated evaluation value per difference is tabulated for each “predetermined item”. Specifically, for an input item such as “name”, an evaluation value such as “−1 point per character difference” in the application history information and the survey history information is set. In addition, the evaluation value may be an evaluation value that considers that the reliability of the job seeker is low if it is a complete pseudonym, and greatly reduces points if all characters are obtained as differences.

  Further, as other evaluation rules, for example, “address” and “registration” are items such as “-1 point per difference of one item”, and items such as “age” are “per year difference of −1. If it is an item such as “Point” or “Family Composition”, it is “−1 point per difference for one person”, and if it is an item such as “Fixed phone number” or “Mobile phone number”, it is “−1 point per one digit difference”. If it is an item such as “award (excluding driving-related)”, an item such as “± 0 points per award difference” or “punishment (excluding driving-related)” is “-3 per difference of one penalty”. An evaluation value such as “point” is defined.

  Also, in the case of a taxi driver recruitment for foreign tourists as in the above outline example, for example, the difference between the application history information and the survey history information regarding the English proficiency test score “per 50 points − An evaluation value such as “1 point” and “-1 point per first grade difference” may be provided for the English conversation ability test.

  In addition, regarding “(Type 2) whether or not a driver's license is obtained”, “driving accident history”, “driving violation history”, etc., there is a possibility that an accident related to the life of the customer may occur, The social impact when the fact is discovered is assumed. Therefore, the evaluation value is set strictly such as “−5 points” or “−10” per difference.

  As described above, regarding the evaluation rule held in the evaluation rule holding unit, an evaluation value per difference or the like may be set in accordance with the practical importance of each item.

  In addition to the above evaluation rules, for example, a rule in which evaluation values according to the number of falsely declared items are tabulated may be provided. This is because a person with many falsehoods has a tendency to misrepresent, and it can be determined that there is a possibility of causing a problem in the future depending on the reliability as a person.

  Then, the next calculation unit sets an evaluation value per difference for the predetermined item in this way, and reduces the reliability of the job seeker by, for example, subtracting the total of the evaluation values from 100 points. An index can be calculated.

  The “calculation unit” (0304) has a function of calculating a difference between the acquired application history information and the acquired survey history information and calculating a person reliability evaluation index from the difference based on the held rule. The calculation unit can be realized by an arithmetic circuit such as a CPU (Central Processing Unit) or a main memory.

  Specifically, for example, a difference between the same items is obtained using the application history information and the tag information of the survey history information as shown in FIG. When a difference between “Yes” and “Yes” is obtained for “Driving Violation History” for ○ × Taro, an evaluation value “−5” is calculated with reference to an evaluation rule as shown in FIG.

  Similarly, there are differences in other items of “presence / absence of drinking habits”, “work posture”, and “degree of common sense of society”, and the evaluation value per difference is “−2” based on the evaluation rule shown in FIG. “−1” and “−1”, and the sum “−10” is calculated by the CPU's four arithmetic operations. Then, the total value “−10” is calculated on the basis of the perfect score “100 points” of the person reliability evaluation index, and the person reliability evaluation index “90 points” of the job seeker named ○ × Taro is calculated.

  On the other hand, also for □ Δ Jiro, the difference between the same items is obtained using the tag information of the application history information and the survey history information shown in FIG. As a result, a difference was obtained between the “English proficiency test” and “presence / absence / degree of smoking habit”, and the evaluation values were calculated as “−1” and “−1”, respectively. As a result, the total value “−2” is calculated on the basis of the perfect score “100 points” of the person reliability evaluation index, and the person reliability evaluation index “98 points” of the job seeker □ △ Jiro is calculated. That's it.

  For example, if the average score in this evaluation rule is “94.8 points” and the standard deviation (σ) is “1.4”, the human reliability evaluation index is “90 points”, and “average score −3σ "* Taro who is less than" 90.6 points "is not adopted. On the other hand, a person reliability evaluation index of “98 points” and “average point + 2σ” of 97.4 points or more, □ Δ Jiro is adopted.

  The “accumulation unit” (0305) has a function of accumulating the calculated human reliability evaluation index, and is realized by a recording medium such as an HDD, a flash memory, or a portable recording disk, for example, like the evaluation rule holding unit. can do.

  FIG. 6 is a diagram illustrating an example of the human reliability evaluation index stored in the storage unit as a database. Such a person reliability evaluation index database is transmitted in response to a request from a terminal device used by personnel, for example, and displayed on the display.

  In this way, the job seeker guarantee system of this embodiment calculates the reliability evaluation index of the job seeker from the contents and degree of false application in each item of the resume and job history, and personnel personnel etc. It can be used as a reference when hiring.

    <Hardware configuration>

  FIG. 7 is a schematic diagram illustrating an example of a configuration in the job seeker guarantee system when the above functional components are realized as hardware. The operation of each hardware component in the process of calculating the reliability evaluation index of the job seeker will be described using this figure. As shown in this figure, the job seeker guarantee system includes a “CPU (central processing unit)” (0701) and a “main memory” (0702) that perform various types of arithmetic processing and are also a calculation unit. . In addition, “UI (user interface)” (0703) and “I / O (input / output)” (0704) which are the application history information acquisition unit and the survey history information acquisition unit, “evaluation rule holding unit” and “storage unit” HDD "(0705) is also provided. They are connected to each other via a data communication path such as a “system bus” to transmit / receive information and process information.

  In addition, the “main memory” provides a work area that is also a work area of the program at the same time as reading a program for performing various processes for the CPU to execute. In addition, a plurality of addresses are assigned to each of the “main memory” and “HDD”, and programs executed by the “CPU” exchange data with each other by specifying and accessing the addresses. Processing can be performed.

  Here, for example, an application activation command for calculating a human reliability evaluation index is accepted by an input operation on the “UI” by a personnel officer. Then, first, the calculation program stored in “HDD” is read into the work area of “main memory”. Then, a GUI for inputting application history information is displayed on a “display” (not shown) according to the calculation program.

  Personnel personnel etc., on the GUI displayed on the display, the description information such as resume received from the job seeker as application history information, name, address, age, ..., English proficiency test, ... Enter for each item such as driving violation clearance history. Alternatively, the application history information for each item is acquired by receiving the application history information directly input to the terminal by the job seeker via the network at “I / O”.

  Then, in accordance with the calculation program, the acquired application history information is stored for each item at the address 1,.

  Similarly, the survey history information is obtained by inputting the description information of the survey form using the GUI, or by receiving input via a network by a third party investigator, and the address 2 of the “main memory”,... Is stored for each item.

  Subsequently, for example, when an input such as a click operation of the execution button is accepted by the “UI”, the “CPU” is stored in the information stored for the same items such as the addresses 1 and 2 of the “main memory” according to the calculation program. On the other hand, the following arithmetic processing is executed. That is, if the type of the stored item is a numerical item such as a test test score, the “CPU” performs a subtraction process on the numerical value and stores the difference value at address 3 of the “main memory”. .

  Also, if the item type is a non-numeric item such as award punishment or a driving violation clearance history, the match / mismatch is judged by the logical operation processing of the “CPU”, for example, whether or not there is a description in the resume, and the award punishment And the identification information of the violation content are stored at address 3 of the “main memory”.

  Then, the “CPU” refers to the evaluation rule as shown in FIG. 5 stored in the address 1 of “HDD” according to the calculation program, and uses the difference information stored in the address 3 of “main memory” as a key. Get the evaluation value of the item. Then, it is stored at address 4 of “main memory”.

  A similar process is executed for each item of the application history information and the survey history information, and the evaluation values are summed by an addition process of “CPU”. Then, based on the total value, a numerical value of the reliability evaluation index of the person, for example, “90 points” is calculated by a deduction method, and stored in address 5 of “main memory”. Then, the reliability evaluation index value of the person is stored as a database at address 2 of “HDD”.

  In this way, for example, the HR staff can display the person reliability evaluation index of the database, the adoption / non-employment result determined using the standard deviation, etc. on the “display” (not shown), and the job search It can be used as a reference for hiring / non- hiring decisions.

    <Process flow>

  FIG. 8 is a flowchart showing an example of the flow of processing in the job seeker guarantee system of this embodiment. Note that the steps shown below may be processing steps that constitute a program for controlling a computer recorded on a medium. As shown in this figure, first, in order to hold the evaluation rule, for example, it is recorded in an HDD or the like (step S0801).

  Thereafter, application history information is acquired for a predetermined item (step S0802), and survey history information is acquired for a predetermined item (step S0803).

  Then, a difference between the acquired application history information and the survey history information is obtained (step S0804), and a person reliability evaluation index is calculated from the difference obtained in step S0804 based on the held evaluation rule (step S0804). S0805). The calculated human reliability evaluation index is recorded in a recording medium such as an HDD for accumulation (step S0806).

    <Brief description of effect>

  According to the present invention having the above-described configuration, for example, a person who has increased the TOIEC score by 10 points in a resume or a person who has not described the arrest / clearance history, etc. In consideration of the above, it is possible to calculate an index for judging the reliability of the person.

  << Example 2 >>

    <Overview>

  The present embodiment is based on the above embodiment, and further has a function of feeding back post-employment information and correcting an evaluation rule for calculating a person reliability evaluation index. It is a guarantee system.

  FIG. 9 is a conceptual diagram for explaining an example of an outline in the job seeker guarantee system of the present embodiment. As shown in this figure, □ △ Jiro had a false declaration of “+30 points” in the English proficiency test, but it was safe because there was no arrest or clearance for driving. Adopted as a driver.

  And □ Jiro was actually a driver of a foreign tourist as a driver, there was no problem in the English conversation of the foreign partner, and the tourist information could be provided smoothly. Therefore, as shown in FIG. 9 (a), post-employment history information describing the fact is notified. Therefore, for example, information such as “0 rank (no problem in communication with foreign tourists)” as post-employment history information regarding a predetermined item “English proficiency test” or “English conversation proficiency test” by an input person or the like. Is input to a computer system incorporating the job seeker guarantee system of this embodiment.

  Then, as shown in FIG. 9B, based on the information, in the job hunting person guarantee system of the present embodiment, for example, “per test 50 points per difference shown in FIG. The evaluation value “point” is corrected to “−0.5 points per 50 test differences”.

    <Functional configuration>

  FIG. 10 is a diagram illustrating an example of functional blocks in the job seeker guarantee system according to the present embodiment. As shown in this figure, the “job-seeking person guarantee system” (1000) of this embodiment is based on the above-described embodiment, based on the “application history information acquisition unit” (1001) and “survey history information acquisition unit” (1002). ), “Evaluation rule holding unit” (1003), “calculation unit” (1004), and “accumulation unit” (1005).

  These “application history information acquisition unit”, “survey history information acquisition unit”, “evaluation rule holding unit”, “calculation unit”, and “storage unit” have already been described in the above embodiment. Therefore, the explanation is omitted.

  The feature of the present embodiment is that the job seeking person guarantee system includes “post-employment history information acquisition unit” (1006), “deviation index calculation unit” (1007), and “evaluation rule correction unit” (1008). Furthermore, it has a point.

  The “post-employment history information acquisition unit” (1006) has a function of acquiring post-employment history information of a job seeker accepted from an employer with respect to a predetermined item. For example, the GUI / CUI is similar to the other acquisition units described above. Or an input device such as a communication network device.

  The post-employment history information includes, for example, an in-house proper examination score, an evaluation score of an educational program, and the like. Also, as shown in the above outline example, a customer questionnaire, supervisor assessment, etc. is digitized based on a predetermined rule such as “0 (rank) if there is no problem”, so that the deviation index described later as post-employment history information It may be used for calculation.

  The “deviation index calculation unit” (1007) compares the acquired post-employment history information with the stored person reliability evaluation index of the person, and calculates a deviation index from the actual person reliability evaluation index. It has a function. The deviation index calculation unit can be realized by an arithmetic device such as a CPU or a main memory, for example.

  Specifically, “0 per 30 English proficiency tests (no problem)” which is post-employment history information related to the above-mentioned English proficiency test of □ △ Jiro is acquired. However, the item related to the English proficiency test of □ △ Jiro stored in HDD etc. is set to “−1” in accordance with the evaluation rule “1 point per 50 points”. Therefore, the difference is calculated as the deviation index “−1” by the arithmetic processing of the CPU.

  Then, for example, based on the divergence index “−1” relating to the English proficiency test, the evaluation rule relating to the English proficiency test is corrected as follows.

  The “evaluation rule correction unit” (1008) has a function of correcting the evaluation rule held in the evaluation rule holding unit based on the calculated deviation index, and is realized by an arithmetic unit such as a CPU or a main memory, for example. can do.

  Specifically, a correction rule such as “(evaluation value) − (deviation index ÷ 2)” is held, and an evaluation of the English proficiency test is performed from the deviation index “−1” by arithmetic processing using a CPU or main memory. For example, the correction of setting the value “−1” to “0.5” is executed.

  As described above, the history information after the employment can be fed back and the calculation rule of the person reliability evaluation index can be corrected so as to be actually adapted. Therefore, the calculation of the person reliability evaluation index can be performed more accurately.

    <Hardware configuration>

  FIG. 11 is a schematic diagram illustrating an example of a configuration in the job seeker guarantee system when the above functional components are realized as hardware. The operation of each hardware component in the evaluation rule correction process will be described with reference to this figure.

  As shown in this figure, this job seeker guarantee system is based on the above-described embodiment, with “CPU” (1101) and “main memory” (1102), “UI” (1103) and “I / O” (1104). And “HDD” (1105), which are connected by a system bus or the like. In the present embodiment, “CPU” and “main memory” further realize a deviation index calculation unit and an evaluation rule correction unit, and “UI” and “I / O” further include a post-employment history information acquisition unit. This is a hardware configuration to be realized.

  Here, for example, when an application activation command for evaluation rule correction is received by an input operation on the “UI” by a personnel officer, first, the correction program stored in the “HDD” is the work of the “main memory”. Read to area. Then, according to the correction program, a GUI for inputting post-employment history information is displayed on a “display” (not shown).

  Then, the personnel officer or the like inputs the identification information of the job seeker into the GUI displayed on the display, and associates the post-recruitment history information from the employer with, for example, the qualification 1 that is the item 1 "0 ( And so on. " Alternatively, the job seeker identification information and post-employment history information directly input to the terminal by the employer via the network are received and acquired by “I / O”.

  The acquired post-employment history information is stored at address 1 of the “main memory” according to the correction program.

  Subsequently, according to the correction program, the “CPU” uses the identification information of the job seeker from the person reliability evaluation index database (DB) stored in the “HDD”, for example, the evaluation value “− for the English ability test of the person. 1 ”is acquired and stored at address 2 of“ main memory ”.

  Then, “−1” is calculated as a deviation index from the information “0” and “−1” stored in the address 2 and address 3 of the main memory by the four arithmetic operations of the “CPU”, and the address of the “main memory” 3 is stored.

  Then, according to the correction program, the correction rule held in “HDD” or the like is applied, and the correction value, for example, “−0.5” is calculated and stored in address 4 of “main memory”. Then, by using the corrected value, the items related to the English ability test in the evaluation rule held in “HDD” are corrected and updated and held.

  In this way, the actual post-employment information can be fed back to correct the evaluation rule for calculating the human reliability evaluation index.

    <Process flow>

  FIG. 12 is a flowchart showing an example of the flow of processing in the job seeker guarantee system of the present embodiment. Note that the steps shown below may be processing steps that constitute a program for controlling a computer recorded on a medium.

  Here, the job seeker guarantee system of the present embodiment is not shown in the figure, but first, a person reliability evaluation index is calculated according to the flow as described in the above embodiment, and is stored in a recording medium such as an HDD. Record for accumulation.

  After that, as shown in this figure, after the employment history information is acquired for a predetermined item (step S1201), the employment history information and the stored person reliability evaluation index of the person are obtained. Comparison is made and an actual deviation index is calculated (step S1202).

  Based on the calculated deviation index, the evaluation rule held in the HDD or the like is corrected (step S1203).

    <Brief description of effect>

  As described above, according to the job seeker guarantee system of the present embodiment, it is possible to correct the calculation rule of the person reliability evaluation index by actually feeding back the history information after employment. Accordingly, the calculation of the person reliability evaluation index can be performed more accurately.

  Example 3

    <Overview>

  This embodiment is based on Embodiments 1 and 2 above, and further has a function of determining a matching rate between a face photo of a resume and a face photo obtained by an investigation, and preventing spoofing. System.

  FIG. 13 is a conceptual diagram for explaining an example of an outline in the job seeker guarantee system of the present embodiment. As shown in FIG. 13 (a), a face photograph attached to a resume of a job seeker is read by a computer system in which the job seeker guarantee system of the present embodiment is incorporated, for example, with a scanner or the like. In addition, as shown in FIG. 13B, the person's face photograph attached to the survey form from the third party is similarly read by a scanner or the like.

  Then, matching processing was performed on both of the read face photographs, and a determination result was obtained that the matching rate of, for example, the position of the eyes, the position and shape of the ears, or the shape of the cheek portion was not more than a predetermined value. Therefore, it can be determined that this job seeker may be planning “spoofing” in job hunting activities, and the reliability evaluation index is calculated to be low, assuming that there is a high possibility of lack of social trust. , And so on.

    <Functional configuration>

  FIG. 14 is a diagram illustrating an example of functional blocks in the job seeker guarantee system according to the present embodiment. As shown in this figure, the “job-seeking person guarantee system” (1400) of the present embodiment is based on the first embodiment described above, and “application history information acquisition unit” (1401) and “survey history information acquisition unit” ( 1402), an “evaluation rule holding unit” (1403), a “calculation unit” (1404), and an “accumulation unit” (1405). Further, on the basis of the second embodiment, it may have a “post-employment history information acquisition unit”, “deviation index calculation unit”, “evaluation rule correction unit”, etc., not shown.

  These “application history information acquisition unit”, “survey history information acquisition unit”, “evaluation rule holding unit”, “calculation unit”, “storage unit”, “post-employment history information acquisition unit” and “divergence” Since the “index calculation unit” and the “evaluation rule correction unit” have already been described in the first and second embodiments, description thereof will be omitted.

  The feature of the present embodiment is that the application history information acquisition unit of the job seeker guarantee system further includes an “apply face photo acquisition unit” (1406), and the survey history information acquisition unit further includes “examination face photo acquisition unit”. (1407). Along with this, the evaluation rule holding unit holds a rule for calculating an image matching rate as a comparison rule for the acquired face photograph.

  The “apply face photograph acquisition means” (1406) has a function of acquiring the face photograph of the job seeker as application history information. That is, the face photograph acquired by the application face photograph acquisition means is, for example, a photograph including a face attached to a job seeker's resume or the like.

  Then, the application face photo acquisition means and the next survey face photo acquisition means are, for example, a “scanner” or “I / O” for reading an image if the face photo is printed on photographic paper or the like. Can be realized. Of course, the photograph may be obtained as electronic data similar to “I / O”.

  The “survey face photo acquisition means” (1407) has a function of acquiring the job applicant's face photo as the survey history information. That is, the face photograph acquired by the survey face photograph acquisition means is, for example, a photograph including a job seeker's face obtained by a third party through a survey.

  As described above, in the job hunting person guarantee system according to the present embodiment, the obtained two images are obtained by automatically reading a face photo attached to a resume, a job history, or a survey form with a scanner or the like and converting it into electronic data. The image matching process can be executed on the face photograph by a calculation process such as “CPU”. Then, it can be determined whether or not the face photograph acquired as application history information is false.

    <Hardware configuration>

  FIG. 15 is a schematic diagram illustrating an example of a configuration in the job seeker guarantee system when the above functional components are realized as hardware. The operation of each hardware component in the face-to-face job matching rate calculation process of the job seeker will be described using this figure.

  As shown in this figure, this job seeker guarantee system is based on the above-described embodiment, with “CPU” (1501) and “main memory” (1502), “I / O” (1503), and “HDD” ( 1504) and are connected by a system bus or the like. In the present embodiment, “I / O” is a hardware configuration that also realizes application face photo acquisition means and survey face photo acquisition means.

  Here, when a start command for the facial photo matching application is received, first, the image matching rate calculation program stored in the “HDD” is read into the work area of the “main memory”. Then, according to the program, the computer system in which the job seeker guarantee system according to the present embodiment is incorporated enters a state of waiting for input of a face photograph.

  Therefore, for example, a person in charge of personnel or the like reads a photograph attached to a resume with a “scanner”, and acquires the photograph data from “I / O”. If the photograph has already been converted into data, the face photograph data transmitted from the job seeker's terminal via, for example, a network line is acquired from “I / O”.

  Then, the acquired application face photo is stored at address 1 of the “main memory” according to the correction program.

  Similarly, the data of the survey face photograph acquired from “I / O” by being read by a scanner or the like is stored at address 2 of “main memory”.

  Subsequently, the “CPU” calculates, for example, the correlation coefficient between the luminances of both images in accordance with the program, and stores the correlation coefficient in the address 3 of the “main memory” as the image matching rate. The CPU compares the threshold value indicated by the image matching rate calculation rule stored at the “HDD” address and the image matching rate stored at the address 3 of the “main memory”. To execute.

  As a result, when a comparison result indicating that the image matching rate is equal to or higher than the threshold is output, both images are determined to be images of the same person. On the other hand, if the image matching rate is less than or equal to the threshold value, it is determined that both images are not images of the same person, and a process of greatly reducing the person reliability evaluation index is executed.

  FIG. 16 is a flowchart showing an example of the flow of processing in the job seeker guarantee system of the present embodiment. Note that the steps shown below may be processing steps that constitute a program for controlling a computer recorded on a medium. As shown in this figure, first, in order to hold an evaluation rule including an image matching rate calculation rule, it is recorded in, for example, an HDD (step S1601).

  Thereafter, for example, a face photograph of the job seeker attached to the resume or the like is acquired as the application history information (step S1602), and a face photograph of the job seeker obtained by a third party as the survey history information is acquired. (Step S1603).

  Then, an image matching rate is calculated based on the stored rules for the two acquired face photographs (step S1604), and a human reliability evaluation index is calculated from the calculated image matching rate (step S1605). The calculated human reliability evaluation index is recorded on a recording medium such as an HDD for accumulation (step S1606).

    <Brief description of effect>

  According to the present invention having the above-described configuration, the image matching rate between the application face photograph and the research face photograph can be calculated. Accordingly, it is possible to prevent impersonation of another person from the applicant for the job seeker and to forego the employment of the job seeker who cannot have such social reliability.

The figure for demonstrating an example of the outline | summary in the job seeker guarantee system of Example 1. The figure for demonstrating another example of the outline | summary in the job seeker guarantee system of Example 1. The figure showing an example of the functional block in the job seeker guarantee system of Example 1. The figure showing an example of each history information acquired in the application history information acquisition part and investigation history information acquisition part of the job seeker guarantee system of Example 1 The conceptual diagram showing an example of the evaluation rule currently hold | maintained at the evaluation rule holding part of the job seeker guarantee system of Example 1 The figure showing an example of the person reliability evaluation parameter | index accumulated by making into a database in the accumulation | storage part of the job seeker guarantee system of Example 1. FIG. The figure showing an example of the hardware constitutions in the job seeker guarantee system of Example 1. The flowchart showing an example of the flow of processing in the job seeker guarantee system of the first embodiment. The figure for demonstrating an example of the outline | summary in the job seeker guarantee system of Example 2. The figure showing an example of the functional block in the job seeker guarantee system of Example 2. The figure showing an example of the hardware constitutions in the job seeker guarantee system of Example 2. The flowchart showing an example of the flow of processing in the job seeker guarantee system of the second embodiment. The figure for demonstrating an example of the outline | summary in the job seeker guarantee system of Example 3. The figure showing an example of the functional block in the job seeker guarantee system of Example 3. The figure showing an example of the hardware constitutions in the job seeker guarantee system of Example 3. The flowchart showing an example of the flow of a process in the job seeker guarantee system of Example 3.

Explanation of symbols

0300 Job-seeking person guarantee system 0301 Application history information acquisition unit 0302 Investigation history information acquisition unit 0303 Evaluation rule holding unit 0304 Calculation unit 0305 Storage unit

Claims (6)

An application history information acquisition unit for acquiring application history information, which is history information of a job seeker based on a resume or / and job history, with respect to a predetermined item;
A survey history information acquisition unit that acquires survey history information, which is history information of job seekers based on surveys, etc., regarding a predetermined item;
An evaluation rule holding unit that holds an evaluation rule for calculating a person reliability evaluation index based on the difference between the application history information and the survey history information;
A calculation unit that calculates a difference between the acquired application history information and the acquired survey history information and calculates a person reliability evaluation index from the difference based on the held rule;
An accumulator for accumulating the calculated human reliability evaluation index;
A job seeker guarantee system. A post-employment history information acquisition unit that acquires post-employment history information of a job applicant accepted from an employer with respect to a predetermined item;
A deviation index calculation unit that calculates a deviation index from the actual person reliability evaluation index by comparing the acquired post-employment history information and the accumulated person reliability evaluation index of the person,
An evaluation rule correction unit that corrects the evaluation rule held in the evaluation rule holding unit based on the calculated deviation index;
The job seeker guarantee system according to claim 1, further comprising: The application history information acquisition unit has application face photo acquisition means for acquiring a job applicant's face photo as application history information,
The survey history information acquisition unit has a survey face photo acquisition means for acquiring a job applicant's face photo as the survey history information,
The job seeker guarantee system according to claim 1 or 2, wherein the evaluation rule holding unit holds a rule for calculating an image matching rate as a comparison rule for the acquired face photograph. An application history information acquisition step for acquiring application history information, which is history information of a job seeker based on a resume or / and job history, with respect to a predetermined item;
A survey history information acquisition step for acquiring survey history information, which is history information of a job seeker based on a survey, with respect to a predetermined item;
An evaluation rule recording step for recording to hold an evaluation rule for calculating a person reliability evaluation index based on the difference between the application history information and the survey history information,
A calculation step of obtaining a difference between the acquired application history information and the acquired survey history information, and calculating a person reliability evaluation index from the difference based on the held rule;
A recording step for recording to accumulate the calculated person reliability evaluation index;
Job-seeking person guarantee method that makes the computer execute. Post-employment history information acquisition step for acquiring post-employment history information of a job applicant accepted from an employer with respect to a predetermined item;
A deviation index calculation step of calculating a deviation index from the actual person reliability evaluation index by comparing the acquired post-employment history information with the accumulated person reliability evaluation index of the person,
An evaluation rule correction step for correcting the evaluation rule recorded and held in the evaluation rule recording step based on the calculated deviation index;
The job seeker guarantee method according to claim 1, further comprising: The application history information acquisition step includes an application face photo acquisition step of acquiring a job applicant's face photo as application history information,
The survey history information acquisition step includes a survey face photo acquisition step of acquiring a job applicant's face photo as the survey history information,
The job-seeking person guarantee method according to claim 1 or 2, wherein the evaluation rule recording step records in order to hold a rule for calculating an image matching rate as a comparison rule for the acquired face photograph.

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