JP6551957B1 - Matching support apparatus, matching support method and program - Google Patents

Abstract

A matching support apparatus capable of improving the probability of matching is provided. A matching support device estimates a fitness score related to suitability for a first storage unit that stores a demand information set including one or more demand information related to demand, and a specific demand information set. A score estimation unit, and a suggestion unit that prompts a change in at least one of the specific demand information sets so as to further increase the fitness score estimated by the score estimation unit. [Selection] Figure 1

Description

  The present invention relates to a matching support apparatus, matching support method, and program for performing matching such as hiring of human resources.

  Conventionally, various techniques are known as matching techniques for brokering transactions and sales. Such a matching technique is also used for human resource matching such as a job offer.

  The following Patent Document 1 discloses a matching device regarding a job offer. The matching device described in Patent Document 1 includes a selection criteria database for registering document selection criteria for each job offer, a selection result history storage means for recording a history of document selection results of those who have previously applied for each job, and job seekers And determining means for determining the possibility of passing the document selection. This determination means determines, for each job offer, whether or not the document screening standard is satisfied, and calculates the document screening passing ratio.

  Patent Document 2 below discloses a job information information distribution device for the purpose of improving the matching rate between job openings and job search. The job information information distribution apparatus described in Patent Document 2 searches for job information suitable for the job applicant among a plurality of job information based on the job applicant information of the job applicant and the current employment status of the job applicant. A delivery unit for delivering to a person.

Unexamined-Japanese-Patent No. 2010-026817 Unexamined-Japanese-Patent No. 2018-169869

  The matching devices described in Patent Document 1 and Patent Document 2 only extract information suitable for matching from among a large number of pieces of information. Thus, for certain information that is not suitable for matching, the unmatched situation will continue. For example, if there is no job seeker that matches the job information, it is difficult for the applicant to apply for the job information, and it is difficult to achieve the goal of recruiting.

  Therefore, in the above matching device, there is a limit in increasing the number of matching combinations. Therefore, a matching support apparatus, a matching support method, and a program that can improve the matching probability (adaptability) are desired.

  According to one aspect, the matching support device stores a first storage unit that stores a demand information set including one or more demand information related to a demand, and a fitness score related to the adaptability for a specific demand information set. A score estimation unit to be estimated, and a suggestion unit that prompts a change in at least one of the specific demand information sets so as to further increase the fitness score estimated by the score estimation unit.

  According to another aspect, the matching assistance method sets the specific demand information set to be more adaptable to the supply side with respect to the specific demand information set including one or more demand information related to the demand. Prompting a change in demand information of at least one of

  A program according to an aspect is a program that causes a computer to execute the matching support method.

  According to the above aspect, the probability of matching can be improved.

It is a figure showing functional composition of a matching system in one embodiment. It is a figure which shows the structure of the consumer table in one Embodiment. It is a figure which shows the structure of the demand information table in one Embodiment. It is a figure which shows the structure of the 1st matching score table in one Embodiment. It is a figure which shows the structure of the 2nd matching score table in one Embodiment. It is a figure which shows the flowchart of the matching assistance method in one Embodiment. It is a figure which shows the specific demand information set for which the proposal of correction was requested | required, and the example of the demand information set similar to the said specific demand information set.

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

[overall structure]
FIG. 1 is a diagram showing a functional configuration of a matching system 100 according to an embodiment. The matching system 100 according to the present embodiment includes a matching support apparatus 200, one or more demand side terminals 800, and one or more supply side terminals 900. Each demand side terminal 800 may be mutually connected with the matching assistance apparatus 200 via the network. Each supply-side terminal 900 may be connected to the matching support device 200 via a network. The network may be, for example, the Internet, a dedicated line, a packet communication network, a telephone line, a LAN, an intra-company network, other communication lines, a combination of these, and the like, and whether it is wired or wireless. Absent.

  In the present embodiment, the matching system 100 may be a system including a function in which an applicant (supplier) applies for a job recruited by a company (a consumer), for example. In this case, the demand-side terminal 800 may be a company-side terminal for posting job information. Similarly, the supplier terminal 900 may be the applicant's terminal. Here, the demand side terminal 800 and the supply side terminal 900 may each be a personal computer (hereinafter referred to as “PC”), a portable terminal device such as a mobile phone or a PDA, or other terminal devices.

  In the present embodiment, the matching support apparatus 200 includes a CPU that functions as a control unit that controls processing and operations of a server or a terminal device, a memory such as a ROM or a RAM, an external storage device that stores various information, an input interface, and an output. A dedicated or general-purpose computer 300 including an interface, a communication interface, and a bus connecting them can be applied. The matching support device 200 may include storage units 400 and 500 that store various types of information. In FIG. 1, the first storage unit 400 and the second storage unit (score storage unit) 500 are depicted as two storage units for a bag, but the number of storage units may be one. Instead, the storage unit may be divided into three or more parts.

  In the present embodiment, the first storage unit 400 of the matching support device 200 stores a demand information set including one or more demand information related to the demand. The demand information set is defined by a combination of multiple types of demand information. In human resource matching such as an employment scene, the demand information set is a job offer information set.

  FIG. 2 is a diagram showing the configuration of the consumer table in the present embodiment. FIG. 3 is a diagram showing the configuration of the demand information table in the present embodiment. As shown in FIGS. 2 and 3, the first storage unit 400 includes a demander table 410 and a demand information table 420. The consumer table 410 stores consumer information. The demand information table 420 stores the demand information registered by the demander.

  In the example shown in FIG. 2, the demander table 410 stores a demander, that is, a company ID as a job offerer, a company name, a business name of the company, company size information, and a location of the company. You may The information stored in the demander table 410 can be registered from the demand side terminal 800 via the network. In the example of FIG. 2, “enterprise scale” is defined by the number of employees.

  Further, in the example illustrated in FIG. 3, the demand information table 420 stores the demand information set that is being recruited by the demander. The demand information set includes one or more demand information on the demand. In the example shown in FIG. 3, the demand information table 420 stores a job offer ID, a company ID as a consumer, a company name, a job type, an employment form, a salary, a job description, and a benefit program. You may That is, in the present example, the demand information table 420 stores job information that has been recruited by companies. The information stored in the demand information table 420 can be registered by the demander from the demand side terminal 800 via the network.

  In the example shown in FIG. 3, “job type” is a type such as sales or store manager, and “employment form” means a type such as regular employee, part, or part-time job. Also, "salary" indicates the monthly amount. However, the present invention is not limited to the example illustrated in FIG. 3 and the demand information set is not particularly limited as long as it includes one or more pieces of demand information on demand.

  A supplier such as an applicant browses a demand information set (for example, job information) stored in the demand information table 420 by accessing the matching support apparatus 200 from the supply-side terminal 900 via the network. Can. In addition, it is preferable that the matching system 100 be configured to allow the supplier to execute an application procedure on the specific demand information set from the supply side terminal 900.

  The matching support apparatus 200 preferably stores, for each demand information set, the number of browsing times, the number of people who have applied, and the like. Furthermore, the matching support apparatus 200 may store, for each demand information set, the number of persons whose matching has succeeded.

  In the present embodiment, the second storage unit 500 of the matching support device 200 stores the first matching score table 510 and / or the second matching score table 520. The first fitness score table 510 and / or the second fitness score table 520 stores, for the demand information set, for example, a job information information set, the fitness score calculated based on the actual fitness information in association with the demand information set.

  Here, the fitness score is a score related to the fitness, more specifically, a score serving as an index indicating the fitness. In this example, the highly applicable demand information set means that the probability of the application from the supply side is high.

  In the first fitness score table 510, a fitness score is generally associated with the information of each demand information set. Specifically, in the first fitness score table 510, fitness scores are stored in addition to information on “business name”, “company size”, “location”, “job type”, “employment type”, and “salary”. It is done.

  Here, the fitness score may be configured by one type of numerical value, or may be configured by plural types of numerical values. In the example shown in FIG. 4, the fitness score is defined by two types of scores. Specifically, in the example shown in FIG. 4, the matching score includes the “application acquisition score” and the “employment success score”. The calculation method of each of these scores is mentioned later.

  The second fitness score 520 stores almost the same information as the first fitness score table 510. However, as shown in FIG. 5, in the second matching score table 520, the information of "salary" and "company size" is given by the upper limit value and the lower limit value. More specifically, the “salary” information in the first matching score table 510 is divided into two items, “salary lower limit” and “salary upper limit”. Similarly, the “company size” information of the first matching score table 510 is divided into two items of “company size lower limit” and “company size upper limit”.

  Here, the values of the “paying lower limit” and the “paying upper limit” may be set in advance. For example, in the present example, the lower limit value of the “paying lower limit” may be 12000, and the upper limit value of the “paying upper limit” may be 800000. The values of “paying lower limit” and “paying upper limit” may be discretely varied for each predetermined value. For example, the values of "paying lower limit" and "paying upper limit" can be varied by 10000 units. In addition, the value of the "company size lower limit" and the "company size upper limit" may be preset, similarly to the information of the "salary".

  The second fitness score table 520 can be generated from the first fitness score table 510. That is, the second fitness score table 520 can be generated by putting together information in which the value of “salary” in the first fitness score table 510 is between the predetermined “payroll lower limit” and the “payroll upper limit”. In this case, the “application acquisition score” and the “working success score” in the second fitness score table 520 are respectively defined by the median or average value of the score in the “paying lower limit” and the score in the “paying upper limit”. You may

  In the second matching score table 520, the legal score regarding the demand information set having approximate values of the “application acquisition score” and the “employment success score” is collected into one data, and therefore the amount of data to be processed by the matching support system 200 Becomes smaller. Therefore, for example, the processing speed of the matching support system 200 can be improved at the time of estimation processing of the matching score by the score estimation unit 310 described later, and the like.

  Next, the score calculation unit 330 will be described which calculates a fitness score related to the fitness of the demand information set. The score calculation unit 330 may be mounted on, for example, the computer 300 that constitutes the matching support device 200. The score calculation unit 330 may be calculated according to any rule as long as it can appropriately calculate a matching score representing the possibility of matching with a supplier.

  Specifically, the fitness score may be defined by an increase function or a decrease function when the actual matching rate for the demand information set is a variable. When the match score is defined by the increase function when the actual matching rate is a variable, the larger the actual matching rate, the larger the match score. When the matching score is defined by a decreasing function when the actual matching rate is a variable, the larger the actual matching rate, the lower the matching score.

  Here, the increase function is a function whose value increases as the variable increases, and the decrease function is a function whose value decreases as the variable increases. However, the increase function and the decrease function may include an interval in which the value does not change due to the increase of the variable.

  Hereinafter, an example of the calculation rule of the conformity score by the score calculation unit 330 will be described in detail. In the present example, the fitness score includes two types of “application acquisition score” and “employment success score”. The “application acquisition score” is a score corresponding to the number of applicants who have actually applied for a specific demand information set (job information). The “employment success score” is a score according to the number of human resources who have actually succeeded in employment with respect to a specific demand information set (recruitment information) and / or the number of human resources who have continued working for a specific period after successful employment.

  The “application acquisition score” can be calculated by the following method. First, when the number of demand information sets (recruitment information) viewed from the application side terminal is a first predetermined value, for example, less than 3000, the value of “application acquisition score” is set to 10.

  When the number of browsing demand information sets (job information) from the applicant terminal is a first predetermined value, for example, 3000 or more, and the ratio of the number of applications to the number of browsing exceeds a second predetermined value, for example, 0.8% , And the value of “application acquisition score” is 100.

  Each time the ratio of the number of applications to the number of views increases or decreases by 0.1% based on 0.8%, the value of the “application acquisition score” increases or decreases by 50 based on 100. However, the lower limit of the “application acquisition score” is 0, and the upper limit of the “application acquisition score” is 2000.

  Furthermore, the number of browsing is a first predetermined value, for example, 3000 or more, and the number of applications is 0, the number of job openings used for score calculation is less than 10, or the number of registrants of consumer information (number of registered companies) is less than 10 In the case of, the "application acquisition score" may be 10. Furthermore, when the number of applications is 0 and the number of job openings and the number of registrants of customer information (the number of registered companies) is 10 or more, the “application acquisition score” may be 0.

  The “application acquisition score” is defined as described above, and thus the demand information set having a larger actual matching rate indicates a larger value.

  The “employment success score” can be calculated by the following method. First, when the number of applications for a specific demand information set (recruitment information) is less than 10, or when the number of customer information (number of recruiting companies) is less than 10, the “employment success score” is 10 Do.

  When both the number of applications and the number of customer information (number of companies recruiting human resources) are 10 or more for a specific demand information set (job offer information), the “employment success score” is, for example, “(number of successful employment) × It is calculated by the formula of (the number of applications). Here, the number of successful jobs is defined by the number of people who have succeeded in working for a specific demand information set (recruitment information), or who have continued working for a specific period after successful work. Good.

  In addition, the information on the number of successful employment may be acquired by an input from the customer terminal 800 or the supply side terminal 900, or may be separately acquired by a method such as a questionnaire by paper or telephone.

  The score calculation unit 330 stores the fitness score calculated for each demand information set in the second storage unit 500 in association with the demand information set. Here, with respect to a specific demand information set, the number of viewings, the number of applications, the number of people who have succeeded in working, and the number of people who have continued working continuously fluctuate as the operation of the system continues. Therefore, it is preferable that the score calculation unit 330 recalculates the fitness score after the desired period has elapsed according to the continuation of the operation of the system. As a result, the fitness score stored in the second storage unit 500 is updated based on the actual fitness information updated for the demand information set stored in the first storage unit 400.

  The matching support device 200 further includes a score estimation unit 310 and a suggestion unit 320. The proposal unit 320 is configured to urge change of the demand information of at least one of the specific demand information set so as to further improve the adaptability to the supply side with respect to the specific demand information set.

  Therefore, in the example of human resource matching such as a job offer, when a demander (recruitment company) inputs a specific demand information set (job offer information) to the matching support device 200, the proposing unit 320 specifies specific demand information. The demand side terminal 800 is notified of changing a part of the set (job information), for example, information such as salary and employment status. When the consumer accepts the proposal from the demand side terminal 800, a part of the input demand information set is replaced with the proposed information. In this way, the matching support device 200 automatically proposes to change a part of the information in the demand information set so as to further increase the possibility of matching, so that the demand information set matches the request on the supply side. It is replaced by easy conditions. Therefore, the probability of matching can be improved.

  FIG. 6 is a flowchart of a matching support method according to an embodiment. In particular, FIG. 6 shows an example of a flowchart relating to the proposal of changing the information of the part of the demand information set described above.

  First, the matching support apparatus 200 waits for a proposal request from the demand side terminal 800. When the matching support apparatus 200 receives a request for a proposal from the demand side terminal 800 (step S1), the score estimation unit 310 estimates, for the specific demand information set, a fitness score related to the adaptability with the supply side. (Step S2).

  Here, the request for the above-mentioned proposal from the demand side terminal 800 may be made, for example, when a new demand information set is input from the consumer terminal 800 to the matching support device 200. Instead of this, the request of the above proposal from the demand side terminal 800 may be made by designating the demand information set already stored in the first storage unit 400 of the matching support device 200 by the demander terminal 800. Good.

  The score estimation unit 310 may estimate the fitness score so that the fitness score value expected to be a value that can be expected or a value approximated when the specific demand information set is continuously operated without being changed. It should be possible. Therefore, the score estimation unit 310 is based on the matching score (“application acquisition score” and / or “employment success score”) calculated for the demand information set based on the actual matching information (application probability, number of matching success, etc.) It is preferable to estimate the fitness score of the specific demand information set requested.

  In the present embodiment, the score estimation unit 310 estimates the fitness score for a specific demand information set by the following method. First, the score estimation unit 310 may calculate the fitness score associated with the demand information set having the same or similar demand information as the requested particular demand information set, or the first fitness score storage unit 510 of the second storage unit 500 or It is acquired from the second matching score storage unit 520. The score estimation unit 310 estimates the matching score acquired here as the matching score of the requested specific demand information set.

  Next, the proposing unit 320 generates a demand information set (hereinafter referred to as a similar demand information set) similar to the requested specific demand information set and its fitness score as the first fitness score storage unit 510 or the second fitness. It extracts from the score memory | storage part 520 (step S3). Here, the similar demand information set may be information in which at least a part of a specific demand information set is the same or similar.

  The extraction of the similar demand information set can be performed by any known method. For example, information of items other than the item relating to the fitness score in the first fitness score storage unit 510 or the second fitness score storage unit 520, for example, information such as industry name and employment type, is quantified based on predetermined rules The degree of approximation of the converted numerical value makes it possible to extract a demand information set similar to the specific demand information set requested. Each demand information set can be N-dimensional vectorized by quantifying information of N items among items (the number of columns) other than the fitness score. In this case, the extracted similar demand information set can be defined by a demand information set represented by an N-dimensional vector having a short distance from the N-dimensional vector indicating the requested specific demand information set.

  The extraction of the similar demand information set may be defined by a demand information set in which the items other than one of the items other than the matching score are the same as the specific demand information set. The similar demand information set can be extracted not only by this method but also by various methods.

  In the example of human resource matching such as job posting, the similar demand information set is preferably extracted based on the information of at least the "area" and the "business type" in which it works. More preferably, the similar demand information set is preferably extracted based on the information of “area”, “business type”, “employment type”, and “job type”.

  The proposing unit 320 prompts a change of at least one of the specific demand information sets so as to match or approach the demand information of the similar demand information set having a high matching score among the extracted similar demand information sets ( Step S4). That is, the proposing unit 320 proposes a change of specific demand information so as to approach a similar demand information set having a higher matching score than the matching score estimated by the score estimating unit 310. For example, the proposal unit 320 urges a change in “salary” or “employment type” to increase the fitness score.

  As in the above-mentioned example, when there are a plurality of types of matching scores (for example, the application acquisition score and the work success score), the suggestion unit 320 identifies the same so as to improve at least one matching score, preferably all matching scores. What is necessary is just to prompt the change of the demand information of at least one of the demand information sets. Instead, the suggestion unit 320 may prompt a change of at least one of the specific demand information sets so as to improve the sum or average value of all the matching scores.

  FIG. 7 is a diagram showing an example of a specific demand information set requested to be proposed and a similar demand information set similar to the specific demand information set. When the information illustrated in the lower part of FIG. 7 is stored in the second storage unit 500 (the second fitness score storage unit 520), the score estimation unit 310 determines that the specific demand information set (the information illustrated in the upper part of FIG. 7). The fitness score is estimated as follows.

Application acquisition score ... 200
Employment success score ... 400

  In the example illustrated in FIG. 7, two types of similar demand information sets that can increase the matching score (the application acquisition score and the work success score) are extracted. In this case, the proposal unit 320 may notify the demand-side terminal 800 of proposals for both types of change. In this case, the consumer can select one of the two types of proposals. Alternatively, the consumer may not select any suggestions.

  Instead, the proposing unit 320 may select and propose one of a plurality of types of information that can increase the fitness score according to a preset priority order. For example, the demand information set may be divided into at least first priority information and second priority information. In the example shown in FIG. 7, the first priority information is the “paying lower limit” and the “paying upper limit”. The second priority information is "employment type". In this case, when the fitness score can be increased by changing the first priority information and the fitness score can be increased by changing the second priority information, the proposing unit 320 changes the second priority information. Instead, it is recommended to change the first priority information.

  In the example shown in FIG. 7, the application acquisition score and the work success score can be increased by changing the “payroll lower limit” of the requested specific demand information set to “230000”. Furthermore, even if the “employment form” of the requested specific demand information set is changed to “regular employee”, the application acquisition score and the employment success score can be increased. In this case, if the “paying lower limit” is set to the first priority information and the “employment type” is set to the second priority information, the proposal unit 320 proposes a change of the “employment type”. Propose a change to the "paying limit" without

  If it is essential to change the “employment form” in order to increase the fitness score, the proposing unit 320 may propose the change of the “employment form”.

  Here, in the job opening scene, the condition of salary can be changed relatively easily for the recruiting company. On the other hand, employment conditions are more difficult to change than salary conditions. As described above, when there are items that can be easily changed and items that are difficult to change in the demand information set, it is preferable to classify them into the first priority information and the second priority information as described above.

  The change of the demand information of the demand information set by the proposing unit 320 is notified to the demand side terminal 800. When the consumer accepts the proposal by the proposal unit 320, the notification is notified from the demand side terminal 800 to the matching support apparatus 200. In response to this notification, the matching support device 200 changes the demand information of the specific demand information set as proposed by the proposing unit 320.

  As described above, the content of the present invention has been disclosed through the embodiments. However, it should not be understood that the description and drawings constituting a part of this disclosure limit the present invention. From this disclosure, various alternative embodiments, examples and operational techniques will be apparent to those skilled in the art. Accordingly, the technical scope of the present invention is defined only by the invention-specifying matters according to the claims that are appropriate from the above description.

  For example, in the embodiment described above, the matching support device 200 is connected from the demand side terminal 800 via the network. Instead of this, each function of the matching support device 200 may be built in the demand side terminal 800. Further, the matching support device 200 may be configured by a plurality of computers distributed on a network.

  Also, unlike the embodiment described above, the match score may be defined by a relational expression including variable parameters. In this case, actual results as to whether matching is successful for various demand information sets may be used as training data, and relational expressions (variable parameters) for calculating a fitness score may be learned by regression analysis or machine learning. . In this case, for example, the fitness score is set so that the greater the number of actual browsing, the number of applications, the number of people who have actually worked, and the number of people who have continued to work, the greater the value of the fitness score. What is necessary is just to determine the relational expression (variable parameter) for calculating.

  Furthermore, the matching support apparatus 200 can automatically identify without matching score of a specific demand information set by machine learning as teacher data the actual result whether matching is successful for various demand information sets. The information processing system may be configured to propose a preferable change of demand information out of the set of demand information. In this case, for example, a demand information set having a large number of actual browsing, number of applications, human resources that have actually worked successfully, and human resources that have continued to work is used as correct teacher data, and the actual number of browsing and applications An appropriate demand information set may be learned as false teacher data for a demand information set having a small number of people who have actually succeeded in working and the number of people who have continued to work continuously. In this case, the suggestion unit 320 may specify the demand information to be changed from the demand information set that has been requested to be improved and the appropriate demand information set that has been learned.

  Further, a program that causes a computer to execute the aforementioned matching support method described with reference to FIG. 6 is also included in the scope of the present invention.

  Such computer programs may be stored on various types of non-transitory computer readable media and supplied to the computer. Non-transitory computer readable media include tangible storage media of various types. Examples of non-transitory computer readable media are magnetic recording media (eg flexible disk, magnetic tape, hard disk drive), magneto-optical recording media (eg magneto-optical disk), CD-ROM (Read Only Memory), CD-R, CD-R / W, semiconductor memory (for example, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (Random Access Memory)). Also, the programs may be supplied to the computer by various types of transitory computer readable media. Examples of transitory computer readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer readable medium can provide the program to the computer via a wired communication path such as electric wire and optical fiber, or a wireless communication path.

  It can be seen from the above-described embodiment that at least the following special information is explained.

  According to one aspect, the matching support device makes the first storage configured to store a demand information set including one or more pieces of demand information on demand more compatible with the supply side with respect to the specific demand information set. And a proposal unit for promoting change of demand information of at least one of the specific demand information set.

  According to a preferred aspect, the matching support device has a score estimation unit that estimates a matching score related to the possibility of matching with a supply side for the specific demand information set, and the score estimation unit The fitness score is configured to be estimated based on the fitness score calculated for the demand information set based on the fitness information.

  According to a preferred aspect, the matching support device calculates a fitness score associated with the fitness for the demand information set, and the fitness score calculated by the score computing unit with the demand information set. And a score storage unit for storing in association with

  According to a preferred aspect, the matching support device has a score estimating unit that estimates a matching score related to the possibility of matching with a supply side for the specific demand information set, and the score estimating unit includes the specifying The fitness score associated with the demand information set having the same or similar demand information as the demand information set is estimated as the fitness score of the specific demand information set.

  According to a preferred aspect, the proposal unit is configured to select the demand information having the highest matching score among the demand information sets having similar demand information among a plurality of demand information sets stored in the score storage unit. A change in demand information of at least one of the particular demand information set is urged to match or approach the demand information of the set.

  According to a preferred aspect, the fitness score stored in the score storage unit is updated based on actual fitness information updated for the demand information set stored in the first storage unit.

  According to a preferred aspect, the demand information set is divided into at least first priority information and second priority information, and the adaptation score can be increased by changing the first priority information, and In a case where the fitness score can be increased by changing the second priority information, the proposing unit prompts the first priority information to be changed without changing the second priority information.

  According to a preferred aspect, the demand information set is a job information set relating to a job.

  According to one aspect, the matching support method is configured to increase adaptability with a supply side with respect to a specific demand information set including one or more demand information on demand. Promoting at least one change in demand information.

    A program according to an aspect causes a computer to execute the above matching support method.

100 Matching System 200 Matching Support Device 300 Computer 310 Score Estimation Unit 320 Proposal Unit 330 Score Calculation Unit 400 First Storage Unit 500 Second Storage Unit (Score Storage Unit)
800 demand side terminal 900 supply side terminal

Claims (7)

A first storage unit for storing a demand information set including one or more demand information related to demand;
About the demand information set, a score calculation unit that calculates a fitness score that is an index indicating the possibility of matching with the supply side based on actual fitness information;
A score storage unit that stores the fitness score calculated by the score calculation unit in association with the demand information set;
And the proposed section to encourage the change of at least one of the demand information of a specific demand information set, only including,
The proposal unit matches the demand information of the demand information set having the high matching score among the demand information sets having similar demand information among the plurality of demand information sets stored in the score storage unit. Alternatively, a matching support device that prompts a change of at least one demand information of the specific demand information set so as to be close . A score estimator for estimating an estimated fitness score related to the possibility of matching with the supply side for the specific demand information set;
The score estimation unit specifies the fitness score, which is the fitness score associated with the demand information set having the same or similar demand information as the particular demand information set, and which is calculated by the score calculation unit. The matching support device according to claim 1, wherein the matching support device is configured to estimate an estimated fitness score of the demand information set . The matching according to claim 1 or 2 , wherein the matching score stored in the score storage unit is updated based on actual matching information updated for the demand information set stored in the first storage unit. Support device. The demand information set is divided into at least first priority information and second priority information,
When the estimated fitness score can be increased by changing the first priority information, and the estimated fitness score can be increased by changing the second priority information, the proposing unit can generate the second priority information. prompting to the change in the first priority information without the change, the matching support device according to claim 2. The matching support apparatus according to any one of claims 1 to 4 , wherein the demand information set is a job information set related to a job search. Computer
For one or more including demand information set demand information on demand, and the score calculating step of calculating a match score as an index indicating compatible with the supply side on the basis of the actual adaptation information,
A score storing step of storing the matching score calculated in the score calculating step in association with the demand information set;
Executing step comprising the proposed step of prompting the change of at least one demand information, the one of the specific demand information set,
In the proposal step, the demand information set having the similar demand information among the plurality of demand information sets stored in the score storage unit matches the demand information of the demand information set having the high matching score. Or the matching assistance method which urges change of demand information of at least one of the specific demand information set so that it may closely approach . A program that causes a computer to execute the matching support method according to claim 6 .

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