JP7460235B2 - Matching support device, matching support method, program and recording medium - Google Patents

Description

The present invention relates to a matching support device, a matching support method, a program, and a recording medium.

A system has been reported that uses a network to match applicants for admission to a facility such as a nursery school with one or more facilities that meet the applicant's desired conditions (for example, Patent Document 1, etc.).

JP 2002-259728 A

There is a need for technology that can calculate the optimal combination of applicant and facility and process the process in a short time.

The present invention aims to provide a matching support device, matching support method, program, and recording medium that can calculate optimal combinations of applicants and facilities and process them in a short time.

In order to achieve the above object, the matching support device of the present invention includes:
Including an acquisition means, a scoring means, a matching means, and an output means,
The acquisition means acquires application information and facility information,
The scoring means scores each item of at least one of the application information and the facility information using an arbitrary score table;
The matching means performs matching between the applicant and the facility from among the plurality of applicants and the plurality of facilities based on at least one of the score, the length of the multidimensional vector, and preset conditions. execute,
The matching means includes an estimation means and a calculation means,
The estimation means estimates a plurality of matching patterns when the score is the same as application information of another target person or facility information of another facility,
The calculation means calculates, for each matching pattern, the length of a multidimensional vector constituted by a plurality of elements using the square root of the sum of squares;
The output means is a device that outputs the matching result.

The matching support method of the present invention includes:
Including an acquisition process, a scoring process, a matching process, and an output process,
The acquisition step acquires application information and facility information,
In the scoring step, score each item of at least one of the application information and the facility information using an arbitrary score table;
The matching step includes matching the applicant and the facility from among a plurality of applicants and a plurality of facilities based on at least one of the score, the length of the multidimensional vector, and preset conditions. execute,
The matching step includes an estimation step and a calculation step,
The estimation step estimates a plurality of matching patterns when the score is the same as application information of another target person or facility information of another facility,
The calculation step calculates the length of a multidimensional vector constituted by a plurality of elements using the square root of the sum of squares for each of the matching patterns,
The output step is a method of outputting the matching result.

The program of the present invention is
A program for causing a computer to execute a procedure including an acquisition procedure, a scoring procedure, a matching procedure, and an output procedure,
The acquisition procedure acquires application information and facility information,
The scoring procedure includes scoring each item of at least one of the application information and the facility information using an arbitrary score table;
The matching procedure includes matching the applicant and the facility from among a plurality of applicants and a plurality of facilities based on at least one of the score, the length of the multidimensional vector, and preset conditions. execute,
The matching procedure includes an estimation procedure and a calculation procedure,
The estimation procedure estimates a plurality of matching patterns when the score is the same as application information of another target person or facility information of another facility,
The calculation procedure includes calculating, for each matching pattern, the length of a multidimensional vector composed of a plurality of elements using the square root of the sum of squares;
The output procedure is a program that outputs the matching results.

According to the present invention, the optimal combination of applicant and facility can be calculated and processed in a short time.

FIG. 1 is a block diagram showing an example of a configuration of an apparatus according to the first embodiment. FIG. 2 is a block diagram showing an example of a hardware configuration of the apparatus according to the first embodiment. FIG. 3 is a flowchart showing an example of processing in the device of the first embodiment. FIG. 4 is a schematic diagram illustrating an example in which the device of the first embodiment is applied to matching between a nursery school and a person wishing to enter the nursery school. FIG. 5 is a schematic diagram showing an example in which the device of the first embodiment is applied to matching between nurseries and applicants for admission to the nurseries. FIG. 6 is a schematic diagram showing an example in which the device of the first embodiment is applied to matching between nurseries and applicants for admission to the nurseries. FIG. 7 is a schematic diagram showing an example in which the device of the first embodiment is applied to matching between nurseries and applicants for admission to the nurseries. FIG. 8 is a schematic diagram showing an example in which the device of the first embodiment is applied to matching between nurseries and applicants for admission to the nurseries. FIG. 9 is a schematic diagram showing an example in which the device of the first embodiment is applied to matching between nurseries and applicants for admission to the nurseries.

In the matching support device of the present invention, for example,
The matching means further includes a condition setting means,
The condition setting means sets, as the preset condition, an intervention condition that enables manual matching intervention in the matching,
The matching means may be configured to manually intervene in the matching when a combination of the applicant and the facility that satisfies the intervention condition appears.

In the matching support device of the present invention, for example,
The matching means further includes a recommendation means;
The recommendation means, when a combination of the applicant and the facility that satisfies the intervention condition appears, recommends at least one of a matching candidate subject and the facility;
The matching means may be configured to perform matching by at least one of manual matching and selection of recommended matching candidates when a combination of the applicant and the facility that satisfies the intervention condition appears.

In the matching support device of the present invention, for example,
The condition setting means further sets, as the preset condition, a flag condition for setting a re-matching ineligibility flag to exclude the outputted matching result from re-matching;
The matching means may re-execute the matching based on the re-matching exclusion flag.

In the matching support device of the present invention, for example, the multidimensional vector may be a three-dimensional vector composed of the following three elements.

Element 1: Number of matched targets among multiple targets Element 2: Impact on targets with high scores Element 3: Applicant's estimated satisfaction level

In the matching support device of the present invention, for example,
The calculation means may be configured to weight each element.

In the matching support device of the present invention, for example,
The output means may output the matching result in a ranking format for each arbitrary item.

In the matching support device of the present invention, for example,
The output means may further map and output the matched facilities on a map.

In the matching support method of the present invention, for example,
The matching step further includes a condition setting step,
The condition setting step sets, as the preset condition, an intervention condition that enables manual matching intervention in the matching,
The matching step may be such that when a combination of the applicant and the facility that satisfies the intervention condition appears, manual matching is performed in the matching.

In the matching support method of the present invention, for example,
The matching step further includes a recommending step,
The recommendation step recommends at least one of the target person and the facility as matching candidates when a combination of the applicant and the facility that satisfies the intervention condition appears;
In the matching step, when a combination of the applicant and the facility that satisfies the intervention condition appears, matching is performed by at least one of the manual selection and the selection of the recommended matching candidate. Good too.

In the matching support method of the present invention, for example,
The condition setting step further includes setting, as the preset condition, a flag condition for setting a re-matching exclusion flag for excluding the output matching result from re-matching;
The matching step may be performed again based on the non-rematching target flag.

In the matching support method of the present invention, for example, the multidimensional vector may be a three-dimensional vector composed of the following three elements:

Element 1: Number of subjects who were matched among multiple subjects Element 2: Impact on subjects with higher scores Element 3: Estimated satisfaction of applicant

In the matching support method of the present invention, for example,
The calculation step may include weighting each of the elements.

In the matching support method of the present invention, for example,
The output step may be such that the matching results are output in a ranking format for each arbitrary item.

In the matching support method of the present invention, for example,
The output step may further include mapping the matched facilities on a map and outputting the mapping result.

In the program of the present invention, for example,
The matching procedure further includes a condition setting procedure,
The condition setting procedure sets, as the preset condition, an intervention condition that enables manual matching intervention in the matching,
The matching procedure may be such that, when a combination of the applicant and the facility that satisfies the intervention condition appears, manual matching is intervened in the matching.

In the program of the present invention, for example,
The matching procedure further comprises a recommendation procedure;
The recommendation step includes, when a combination of the applicant and the facility that satisfies the intervention condition appears, recommending at least one of a matching candidate subject and the facility;
The matching procedure may be such that, when a combination of the applicant and the facility that satisfies the intervention condition appears, matching is performed by at least one of manual matching and selection of the recommended matching candidates.

In the program of the present invention, for example,
The condition setting step further includes setting, as the preset condition, a flag condition for setting a re-matching exclusion flag for excluding the output matching result from re-matching;
The matching step may be such that the matching is re-executed based on the re-matching excluded flag.

In the program of the present invention, for example, the multidimensional vector may be a three-dimensional vector composed of the following three elements.

Element 1: Number of matched targets among multiple targets Element 2: Impact on targets with high scores Element 3: Applicant's estimated satisfaction level

In the program of the present invention, for example,
The calculation procedure may be such that each element is weighted.

In the program of the present invention, for example,
The output step may be a step of outputting the matching result in a ranking format for each arbitrary item.

In the program of the present invention, for example,
The output step may further include mapping and outputting the matched facilities on a map.

The recording medium of the present invention is a computer-readable recording medium that records the program of the present invention.

In the present invention, a "facility" is not particularly limited, and includes, for example, a nursery school, a nursing care facility, a hospital, and the like. Furthermore, in the present invention, the applicant who applies for admission to the facility (also referred to as admission, hospitalization, etc.) and the person to be admitted to the facility may be the same or different. In the present invention, "applicants" are not particularly limited, and include, for example, parents who wish to enroll their child in a nursery school, cared persons and their families who wish to enter a nursing care facility, and those who are considering admission to a hospital. patients, their families, and medical workers, as well as medical workers applying to accept emergency patients.

The field of application of the present invention is not particularly limited, and for example, when selecting the facility by focusing on the target person, or selecting the target person by focusing on the facility, the target person and the facility Any field that requires matching is fine.

Embodiments of the present invention will be described using figures. The present invention is not limited to the following embodiments. In each figure below, the same parts are given the same reference numerals. In addition, the explanations of each embodiment can refer to each other unless otherwise mentioned, and the configurations of the embodiments can be combined unless otherwise mentioned.

[Embodiment 1]
Fig. 1 is a block diagram showing an example of the configuration of a matching support device 10 according to the present embodiment. As shown in Fig. 1, the device 10 includes an acquisition unit 11, a scoring unit 12, a matching unit 13, and an output unit 14. The matching unit 13 includes an estimation unit 131 and a calculation unit 132.

The present device 10 may be, for example, a single device including each of the sections described above, or may be a device to which each of the sections can be connected via a communication network. Further, the device 10 can be connected to an external device, which will be described later, via the communication line network. The communication line network is not particularly limited, and any known network may be used, and may be wired or wireless, for example. Examples of the communication line network include the Internet line, WWW (World Wide Web), telephone line, LAN (Local Area Network), SAN (Storage Area Network), and DTN (Delay Tolerant Networking). Examples of wireless communication include WiFi (Wireless Fidelity), Bluetooth (registered trademark), and the like. The wireless communication may be either direct communication between devices (Ad Hoc communication) or indirect communication via an access point. This device 10 may be incorporated into a server as a system, for example. Further, the device 10 may be, for example, a personal computer (PC, e.g., desktop type, notebook type), a smartphone, a tablet terminal, etc., on which the program of the present invention is installed.

Figure 2 shows an example block diagram of the hardware configuration of the device 10. The device 10 has, for example, a central processing unit (CPU, GPU, etc.) 101, memory 102, bus 103, storage device 104, input device 105, display device 106, communication device 107, etc. Each part of the hardware configuration of the device 10 is connected to each other via the bus 103 by their respective interfaces (I/F).

A central processing unit (central processing unit) 101 is responsible for overall control of the device 10. In this device 10, a central processing unit 101 executes, for example, the program of the present invention and other programs, and also reads and writes various information. Specifically, for example, the central processing unit 101 functions as the acquisition means 11, the scoring means 12, the matching means 13, and the output means 14.

The bus 103 can also be connected to, for example, an external device. Examples of the external device include an external database, a printer, a storage device, an imaging device (such as a camera), etc. The present device 10 can be connected to the communication line network, for example, by a communication device 107 connected to the bus 103, and can also be connected to an external device via the communication line network.

The memory 102 may be, for example, a main memory (primary storage device). When the central processing unit 101 performs processing, the memory 102 reads various operating programs, such as the program of the present invention, stored in the storage device 104 described below, and the central processing unit 101 receives data from the memory 102 and executes the programs. The main memory may be, for example, a RAM (random access memory). The memory 102 may also be, for example, a ROM (read only memory).

The storage device 104 is also referred to as an auxiliary storage device, for example, in contrast to the main memory (primary storage device). As described above, the storage device 104 stores operating programs including the program of the present invention. The storage device 104 may be, for example, a combination of a recording medium and a drive that reads and writes from the recording medium. The recording medium is not particularly limited, and may be, for example, an internal or external type, such as a HD (hard disk), CD-ROM, CD-R, CD-RW, MO, DVD, flash memory, or memory card. The storage device 104 may be, for example, a hard disk drive (HDD) in which the recording medium and the drive are integrated, or a solid state drive (SSD).

In the device 10, the memory 102 and storage device 104 can also store access information and log information from an administrator, as well as information obtained from an external database (not shown).

The device 10 further includes an input device 105 and a display device 106, for example. The input device 105 is, for example, a touch panel, a keyboard, a mouse, or the like. Examples of the display device 106 include an LED display, a liquid crystal display, and the like.

Next, an example of the matching support method of this embodiment will be described based on the flowchart in FIG. 3. The matching support method of this embodiment is implemented, for example, as follows using the matching support device 10 of FIG. 1. Note that the matching support method of this embodiment is not limited to use of the matching support device 10 of FIG. 1.

First, the acquisition means 11 acquires application information and facility information (S1). The application information includes, for example, applicant information, target person information, desired facility information, and the like. The applicant information includes, for example, the applicant's name, date of birth, gender, annual household income, and relationship with the target person. The subject information includes, for example, the subject's name, date of birth, gender, medical history, presence or absence of allergies, family composition, and the like. The desired facility information is information on the facility desired by the applicant, and includes information such as the facility name, facility area, facility equipment, number of people who can be accepted, and number of vacancies. The form of the acquisition is not particularly limited, and for example, the information may be acquired via the communication network, or the information may be acquired by inputting the information using the input device 105.

Next, the scoring means 12 assigns a score to at least one of the application information and the facility information by assigning a score to each item using an arbitrary score table (S2). The score table is not particularly limited, and may be, for example, a "nursery school admission standard index table" published by a local government or facility, or a score table created in advance by the user. The scores include, for example, a total score, a standard score, and an adjustment score. If the subject has family members such as siblings, the scoring means 12 may set the subject's score to the same score as the family members' scores, or may set the score to the average of the family members' scores. For example, the user of the device 10 can select whether to set the subject's score to the same score or the average.

Next, the matching means 13 performs matching to pair the applicant with the facility from among a plurality of applicants and a plurality of facilities based on at least one of the scores, the length of a multidimensional vector described later, and a preset condition (S3). Hereinafter, the matching is also referred to as, for example, automatic matching. The preset condition is not particularly limited and can be set arbitrarily. Specifically, for example, an intervention condition that enables manual intervention in the matching, a flag condition for setting a rematching non-target flag that excludes the matching result output by the output means 14 described later from the target for rematching, and the like. In addition, the present device 10 may set, as the preset condition, whether the subject wishes to be admitted to the same facility as his/her siblings or other family members, and the degree of such a desire. Furthermore, the present device 10 may set, as the preset condition, a priority order for each subject among the family members such as siblings. When the matching means 13 performs the matching based on the scores, for example, the matching may be performed in descending order of the scores (total score, reference score, adjustment score, etc.). When the matching means 13 performs the matching based on the length of the multidimensional vector, the matching may be performed, for example, in descending order of the length of the multidimensional vector.

Specifically, the matching means 13 estimates a plurality of matching patterns using the estimation means 131 when the score is the same as the application information of another target person or the facility information of another facility (S3-1). . Then, the calculation means 132 calculates the length of a multidimensional vector constituted by a plurality of elements for each matching pattern using the square root of the sum of squares (S3-2). More specifically, this will be explained in Embodiment 2.

Then, the output means 14 outputs the matching results (S4) and ends the process (END). The format of the output is not particularly limited, and for example, the matching results may be output in the form of a ranking for each item, or the matched facilities may be output by mapping them on a map. This makes it easier to visually grasp the matching results.

The matching means 13 may further include a condition setting means, for example. The condition setting means sets, as the preset condition, an intervention condition that enables manual matching intervention in the automatic matching. The manual matching means, for example, that a user visually performs matching that combines the applicant and the facility. Then, when a combination of the applicant and the facility that satisfies the intervention condition appears, the matching means 13 intervenes in manual matching in the automatic matching. The device 10 may, for example, temporarily record the results of the automatic matching in the storage device 104 before the intervention of the manual matching. Then, for example, the device 10 adds the manual matching result for the combination of the applicant and the facility to the recorded automatic matching result, and further adds the automatic matching result for the combination of the applicant and the facility. Executes matching processing. The device 10 may further include recommendation means, for example. When a combination of the applicant and the facility that satisfies the intervention condition appears, the recommendation means recommends at least one of the matching candidate and the facility. Then, for example, when a combination of the applicant and the facility that satisfies the intervention condition appears, the matching means 13 performs matching by at least one of the manual method and the selection of matching candidates recommended by the device 10. do.

The setting means may further set, as the preset condition, a flag condition for setting a re-matching ineligible flag to exclude the matching result outputted by the output means 14 from being re-matched. good. In this case, the matching means 13 re-executes the matching based on the re-matching exclusion flag. That is, in this case, the device 10 repeatedly processes the steps (S3) to (S4). Specifically, for example, if the matching is determined manually separately from the device 10, or if the outputted matching results are used to select one person from a plurality of subjects and a plurality of facilities included in the matching results. There may be cases where the above matching has been confirmed for the target persons of the department and some facilities.

According to the matching support device 10 of this embodiment, it is possible to calculate an optimal combination of an applicant and a facility, and to process it in a short time. Further, according to the present device 10, for example, manual matching processing is also possible, so it is possible to solve problems such as the principle of matching processing being unknown (so-called black box) and redoing matching processing. Further, according to the present device 10, since matching is performed based on preset conditions, it is possible to perform matching in consideration of coupling of siblings and the like. Further, according to the present device 10, for example, by using a multidimensional vector, more optimal matching can be performed for a plurality of subjects and a plurality of facilities. In particular, in the selection process for admission to nursery schools, workers have traditionally visually checked a large number of application documents and assigned scores to candidates. Therefore, the selection process took time and manpower. However, according to the present device 10, it is possible to process admission selection in a short time, and the human cost can be reduced.

[Embodiment 2]
Specifically, an example in which the device 10 is applied to matching between nurseries and applicants for admission to the nurseries will be described with reference to FIGS.

The acquisition means 11 acquires the application information and facility information shown in FIG. 4. In the facility information, "age" refers to the age of children that can be accepted at each facility, and "recruitment" refers to the so-called "vacant number" and "recruitment number" obtained by subtracting the total number of enrolled children from the total number of children that can be accepted at each facility. Next, the scoring means 12 assigns a score to each of the subjects. In this case, for example, the device 10 hypothetically changes "recruitment" at facility E from 0 to 1 because subject (3) enrolled in facility E wishes to transfer.

Next, as shown in FIG. 5, the matching means 13 tentatively determines that the target person (1) with the highest score is matched with the nursery school E (also referred to as assignment or placement). Therefore, "recruitment" in facility E is changed from 1 to 0. However, subjects (2) to (7) have the same score, and furthermore, there is competition as there are many desired subjects compared to the number of recruits at each facility. Therefore, the estimating means 131 estimates a matching pattern between subjects (2) to (7) and each facility. FIG. 6 shows an example of a portion of the estimated matching pattern.

Next, the calculating means 132 calculates the length of a multidimensional vector constituted by a plurality of elements for each of the matching patterns. In FIG. 6, the plurality of elements include the number of matched subjects among the plurality of subjects (the number of assigned persons (A)), and the degree of influence on the subjects with higher scores (the degree of influence on non-transferability (B)). , and the applicant's estimated satisfaction level (applicant satisfaction level (C)). Furthermore, regarding the estimated satisfaction level of the applicant, the desired satisfaction level (C-1), which indicates the degree to which the applicant's wishes were realized by each matching pattern, and whether family members such as siblings were admitted to the same facility. We have set two levels: family satisfaction (C-2), which indicates

Specifically, the number of assigned persons (A) will be explained. Pattern No. In 1, among eligible persons (2) to eligible persons (7), five persons other than eligible person (3) who wishes to transfer to facility D can enter any one of facilities A to D. , the number of assigned persons (A) is determined to be "5" by the calculation means 132. On the other hand, pattern no. In 3, four people other than target person (3) and target person (5) can enter one of the facilities A to D, so the number of assigned persons (A) is "4" according to the calculation means 132. .

Specifically, the influence degree (B) of inability to transfer will be explained. In the case of a matching pattern such as pattern 1 in which the target person (3) cannot be assigned, the target person (1) will not be assigned to the tentatively determined facility E. That is, in such a matching pattern, the one person with a higher score than the target person (3) is affected, so the calculation means 132 sets the degree of influence (B) of inability to transfer to 1.

Specifically, the desired satisfaction level (C-1) will be described. In pattern No. 1, the subject (4) is assigned to the second choice, and therefore receives a score of 90 according to the preset desired satisfaction level score table. Furthermore, since a weighting of 0.3 is set for the desired satisfaction level (C-1), the calculation means 132 multiplies the desired satisfaction level (C-1) by 0.3 to obtain 27. There are no particular restrictions on the desired satisfaction level score table, and it can be set arbitrarily. An example of the desired satisfaction level score table is shown in FIG. 9.

Specifically, the kinship satisfaction (C-2) will be described. The subjects (4) to (6) are siblings and wish to be admitted to the same facility. However, in pattern No. 1, the number of facilities to which the siblings are assigned is two, facilities A and B. Here, according to a preset kinship satisfaction score table, the score for assigning two facilities to siblings who wish to be admitted to the same facility is 50. The kinship satisfaction score table is not particularly limited and can be set arbitrarily. An example of the kinship satisfaction score table is shown in FIG. 9. In addition, since a weighting of 0.7 is set for kinship satisfaction (C-2), the calculation means 132 multiplies 50 by 0.7 to obtain kinship satisfaction (C-2) of 35. On the other hand, in pattern 3, the subject (5) is not assigned to any facility, and the subjects (4) and (6) are assigned to different facilities. Here, according to a preset family satisfaction score table, the score for subject (5) is 0, and the scores for subjects (4) and (6) are each 50. The calculation means 132 divides the total score for these three people (100) by the three people and multiplies it by a weighting of 0.7 to arrive at 23.333.

Then, as shown in FIG. 7, the calculation means 132 calculates the value of the number of people to be assigned (A), the value of the degree of influence of non-transfer (B), and the value of the applicant's satisfaction level (C) (desired) by the square root of the sum of squares, as shown in FIG. The length of the three-dimensional vector is calculated using the sum of the satisfaction (C-1) value and the relative satisfaction (C-2) value. For example, as shown in FIG. 7, the calculation means 132 weights each element using a weight set for each element. More specifically, the length of the three-dimensional vector is calculated using the formula shown in FIG. The matching means 13 selects a pattern No. with the longest three-dimensional vector from among the matching patterns shown in FIG. 10 is estimated to be the optimal matching pattern.

Then, the output means 14 outputs the pattern No. 10 and matching (assigning) the tentatively determined target person (1) to nursery school E is output as the matching result.

The matching means 13 may exclude a particular matching pattern from the matching when, for example, restrictions are set as pre-set conditions. The restrictions include, for example, a matching pattern in which some siblings who wish to enroll at the same time are not assigned (e.g., pattern No. 3 in FIG. 6 ), a matching pattern in which at least one of siblings who wish to enroll at the same facility is assigned to a different facility (e.g., pattern No. 1 in FIG. 6 ), a matching pattern in which a sibling with a low priority is assigned to the facility of his/her choice and a sibling with a high priority is not assigned to any facility, etc.

[Embodiment 3]
The program of this embodiment is a program for causing a computer to execute each step of the method described in the first and second embodiments as a procedure. In the present invention, the "procedure" may be read as "processing." The program of this embodiment may be recorded, for example, in a computer-readable recording medium. The recording medium is not particularly limited, and examples thereof include a read-only memory (ROM), a hard disk (HD), and an optical disk.

Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above embodiments. The configuration and details of the present invention can be modified in various ways within the scope of the present invention by those skilled in the art.

<Additional notes>
Part or all of the above embodiments may be described as in the following additional notes, but are not limited to the following.
(Additional note 1)
Including an acquisition means, a scoring means, a matching means, and an output means,
The acquisition means acquires application information and facility information,
The scoring means scores each item of at least one of the application information and the facility information using an arbitrary score table;
The matching means performs matching between the applicant and the facility from among the plurality of applicants and the plurality of facilities based on at least one of the score, the length of the multidimensional vector, and preset conditions. execute,
The matching means includes an estimation means and a calculation means,
The estimation means estimates a plurality of matching patterns when the score is the same as application information of another target person or facility information of another facility,
The calculation means calculates, for each matching pattern, the length of a multidimensional vector constituted by a plurality of elements using the square root of the sum of squares;
The output means is a matching support device that outputs the matching result.
(Additional note 2)
The matching means further includes a condition setting means,
The condition setting means sets, as the preset condition, an intervention condition that enables manual matching intervention in the matching,
The matching support device according to supplementary note 1, wherein the matching means manually intervenes in the matching when a combination of the applicant and the facility that satisfies the intervention condition appears.
(Additional note 3)
The matching means further includes a recommendation means,
The recommendation means recommends at least one of the target person and the facility as matching candidates when a combination of the applicant and the facility that satisfies the intervention condition appears;
The matching according to appendix 2, wherein the matching means executes matching by at least one of the manual selection and the selection of the recommended matching candidate when a combination of the applicant and the facility that satisfies the intervention condition appears. Support equipment.
(Additional note 4)
The condition setting means further sets, as the preset condition, a flag condition for setting a re-matching ineligibility flag to exclude the outputted matching result from re-matching;
The matching support device according to appendix 2 or 3, wherein the matching means re-executes the matching based on the re-matching exclusion flag.
(Appendix 5)
5. The matching support device according to any one of Supplementary Notes 1 to 4, wherein the multidimensional vector is a three-dimensional vector composed of the following three elements.
Element 1: Number of matched targets among multiple targets Element 2: Impact on targets with high scores Element 3: Applicant's estimated satisfaction level (Appendix 6)
6. The matching support device according to any one of Supplementary Notes 1 to 5, wherein the calculation means weights each element.
(Appendix 7)
The matching support device according to any one of appendices 1 to 6, wherein the output means outputs the matching results in a ranking format for each arbitrary item.
(Appendix 8)
8. The matching support device according to any one of Supplementary Notes 1 to 7, wherein the output means further maps and outputs the matched facility on a map.
(Appendix 9)
Including an acquisition process, a scoring process, a matching process, and an output process,
The acquisition step acquires application information and facility information,
In the scoring step, score each item of at least one of the application information and the facility information using an arbitrary score table;
The matching step includes matching the applicant and the facility from among a plurality of applicants and a plurality of facilities based on at least one of the score, the length of the multidimensional vector, and preset conditions. execute,
The matching step includes an estimation step and a calculation step,
The estimation step estimates a plurality of matching patterns when the score is the same as application information of another target person or facility information of another facility,
The calculation step calculates the length of a multidimensional vector constituted by a plurality of elements using the square root of the sum of squares for each of the matching patterns,
In the matching support method, the output step outputs the matching result.
(Appendix 10)
The matching step further includes a condition setting step,
The condition setting step sets, as the preset condition, an intervention condition that enables manual matching intervention in the matching,
9. The matching support method according to supplementary note 9, wherein in the matching step, when a combination of the applicant and the facility that satisfies the intervention condition appears, manual matching is intervened in the matching.
(Appendix 11)
The matching step further includes a recommending step,
The recommendation step recommends at least one of the target person and the facility as matching candidates when a combination of the applicant and the facility that satisfies the intervention condition appears;
The matching according to supplementary note 10, wherein the matching step executes matching by at least one of the manual selection and the selection of the recommended matching candidate when a combination of the applicant and the facility that satisfies the intervention condition appears. How to help.
(Appendix 12)
The condition setting step further includes setting, as the preset conditions, a flag condition for setting a re-matching ineligibility flag to exclude the outputted matching results from re-matching;
The matching support method according to appendix 10 or 11, wherein the matching step re-executes the matching based on the re-matching exclusion flag.
(Appendix 13)
The matching support method according to any one of appendices 9 to 12, wherein the multidimensional vector is a three-dimensional vector composed of the following three elements.
Element 1: Number of matched targets among multiple targets Element 2: Impact on targets with higher scores Element 3: Applicant's estimated satisfaction level (Appendix 14)
14. The matching support method according to any one of appendices 9 to 13, wherein the calculation step weights each element.
(Appendix 15)
15. The matching support method according to any one of appendices 9 to 14, wherein the output step outputs the matching results in a ranking format for each arbitrary item.
(Appendix 16)
16. The matching support method according to any one of appendices 9 to 15, wherein the output step further includes mapping and outputting the matched facilities on a map.
(Appendix 17)
A program for causing a computer to execute a procedure including an acquisition procedure, a scoring procedure, a matching procedure, and an output procedure,
The acquisition procedure acquires application information and facility information,
The scoring procedure includes scoring each item of at least one of the application information and the facility information using an arbitrary score table;
The matching procedure includes matching the applicant and the facility from among a plurality of applicants and a plurality of facilities based on at least one of the score, the length of the multidimensional vector, and preset conditions. execute,
The matching procedure includes an estimation procedure and a calculation procedure,
The estimation procedure estimates a plurality of matching patterns when the score is the same as application information of another target person or facility information of another facility,
The calculation procedure includes calculating, for each matching pattern, the length of a multidimensional vector composed of a plurality of elements using the square root of the sum of squares;
The output procedure is a program that outputs the matching result.
(Appendix 18)
The matching procedure further includes a condition setting procedure,
The condition setting procedure sets, as the preset condition, an intervention condition that enables manual matching intervention in the matching,
The program according to supplementary note 17, wherein the matching procedure intervenes in the matching by manual matching when a combination of the applicant and the facility that satisfies the intervention condition appears.
(Appendix 19)
The matching procedure further includes a recommendation procedure,
The recommendation procedure recommends at least one of the target person and the facility as matching candidates when a combination of the applicant and the facility that satisfies the intervention condition appears;
The program according to appendix 18, wherein the matching procedure executes matching by at least one of the manual selection and the selection of the recommended matching candidate when a combination of the applicant and the facility that satisfies the intervention condition appears. .
(Additional note 20)
The condition setting procedure further includes setting, as the preset condition, a flag condition for setting a re-matching exclusion flag to exclude the output matching result from re-matching;
20. The program according to appendix 18 or 19, wherein the matching procedure re-executes the matching based on the re-matching exclusion flag.
(Additional note 21)
21. The program according to any one of appendices 17 to 20, wherein the multidimensional vector is a three-dimensional vector composed of the following three elements.
Element 1: Number of matched targets among multiple targets Element 2: Impact on targets with higher scores Element 3: Applicant's estimated satisfaction level (Appendix 22)
22. The program according to any one of appendices 17 to 21, wherein the calculation procedure weights each element.
(Additional note 23)
23. The program according to any one of appendices 17 to 22, wherein the output procedure outputs the matching results in a ranking format for each arbitrary item.
(Additional note 24)
The program according to any one of appendices 17 to 23, wherein the output procedure further maps and outputs the matched facility on a map.
(Additional note 25)
A computer-readable recording medium recording the program according to any one of appendices 17 to 24.

According to the present invention, it is possible to calculate the optimal combination of applicants and facilities and process it in a short time. Therefore, the present invention is particularly useful, for example, in fields that require matching between subjects and facilities.

10 Matching support device 11 Acquisition means 12 Scoring means 13 Matching means 131 Estimation means 132 Calculation means 14 Output means

Claims (10)

The method includes an acquisition means, a scoring means, a matching means, and an output means,
The acquiring means acquires application information and facility information,
The scoring means scores at least one of the application information and the facility information by assigning a score to each item using an arbitrary score table;
the matching means performs matching to pair an applicant with a facility from among a plurality of applicants and a plurality of facilities based on at least one of the scores, the length of the multidimensional vector, and a preset condition;
The matching means includes an estimation means and a calculation means,
The estimation means estimates a plurality of matching patterns when the score is equal to a score for each item in the application information of another subject or a score for each item in the facility information of another facility,
the calculation means calculates, for each of the matching patterns, a length of a multidimensional vector formed by a plurality of elements by using a square root of the sum of squares;
The output means outputs a result of the matching. The matching means further includes a condition setting means,
the condition setting means sets, as the preset condition, an intervention condition that enables manual intervention in the matching;
The matching support device according to claim 1 , wherein the matching means performs manual matching to pair the applicant with a facility from among a plurality of applicants and a plurality of facilities based on at least the intervention condition among the preset conditions . The matching means further includes a recommendation means ;
the matching means performs manual matching to pair the applicant with a facility from among a plurality of applicants and a plurality of facilities based on at least the intervention condition among the preset conditions;
The recommendation means, when the manual matching is performed, recommends at least one of a matching candidate subject and the facility;
The matching support device of claim 2, wherein the matching means further performs matching to pair an applicant with a facility from among a plurality of applicants and a plurality of facilities based on at least one of the scores, the length of the multidimensional vector, and predetermined conditions obtained by at least one of the manual matching selection and the selection of the recommended matching candidates . The condition setting means further sets, as the preset condition, a flag condition for setting a re-matching ineligibility flag to exclude the outputted matching result from re-matching;
4. The matching support device according to claim 2, wherein said matching means re-executes said matching based on said re-matching exclusion flag. The matching support device according to claim 1 , wherein the multidimensional vector is a three-dimensional vector composed of the following three elements:

Element 1: Number of subjects who were matched among multiple subjects Element 2: Impact on subjects with higher scores Element 3: Estimated satisfaction of applicant
The matching support device according to any one of claims 1 to 5, wherein the calculation means weights each element. 7. The matching support device according to claim 1, wherein the output means outputs the matching results in a ranking format for each arbitrary item. The matching support device according to any one of claims 1 to 7, wherein the output means further maps and outputs the matched facilities on a map. The method includes an acquisition step, a scoring step, a matching step, and an output step,
The acquiring step acquires application information and facility information,
The scoring step includes assigning a score to at least one of the application information and the facility information for each item using an arbitrary score table,
the matching step performs matching to pair an applicant with a facility from among a plurality of applicants and a plurality of facilities based on at least one of the scores, the length of the multidimensional vector, and a preset condition;
The matching step includes an estimation step and a calculation step,
The estimation step estimates a plurality of matching patterns when the score is equal to a score for each item of application information of another subject or a score for each item of facility information of another facility,
the calculation step calculates, for each of the matching patterns, a length of a multidimensional vector formed by a plurality of elements by using a square root of the sum of squares;
The output step outputs a result of the matching,
A matching support method , in which each of the steps is executed by a computer . A program for causing a computer to execute procedures including an acquisition procedure, a scoring procedure, a matching procedure, and an output procedure,
The acquisition step includes acquiring application information and facility information,
The scoring step includes assigning a score to at least one of the application information and the facility information for each item using an arbitrary score table,
the matching step includes performing matching to pair an applicant with a facility from among a plurality of applicants and a plurality of facilities based on at least one of the scores, the length of the multidimensional vector, and a preset condition;
The matching step includes an estimation step and a calculation step,
The estimation step estimates a plurality of matching patterns when the score is equal to a score for each item of application information of another subject or a score for each item of facility information of another facility;
the calculation step includes calculating, for each of the matching patterns, a length of a multidimensional vector formed by a plurality of elements by using a square root of the sum of squares;
The output step outputs a result of the matching.

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