Service matching support device and service matching support method

Abstract

To enable business matching support without waste while appropriately managing business costs and business efficiency.SOLUTION: A service matching support device 100 includes a checklist for confirming the suitability of a counterparty obtained by merging evaluation criteria of a counterparty of each service provider, a storage device 101 for holding information on services and information on past provision results, and a computation device 104 for acquiring check results of the checklist by a user interested in service, decomposing the check results by evaluation criteria of each service provider, determining the suitability of the service provider for the user by each service provider, and identifying a candidate service by the service provider specified as a suitable counterparty of the user and conforming to desired conditions by the user whose attribute of an event valued by a service user group similar to the user satisfies the criteria.SELECTED DRAWING: Figure 2

Description

[Technical field]

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

[0002] In recent years, with the development of information and communication technology and the globalization of the economy, various services and products are traded widely beyond traditional trade areas. This situation is not only occurring in the international business environment, but is also emerging in the domestic regional economic environment. As a result, the trade of various products and services is being considered by a wide range of people. In response to this, technologies to support so-called business matching have been proposed, such as a technology (see Patent Document 1) that effectively utilizes service search requests received from service users by a service intermediary system for business purposes.

[0003] This technology relates to a service mediation program for causing a computer to realize a reading function of reading out a plurality of pieces of service search request information from a recording means, a classification function of classifying the plurality of pieces of service search request information into a plurality of categories in accordance with predetermined classification rules and recording classification information indicating the classification results in the recording means, and an abstraction function of creating abstracted search request information that abstracts the contents of service search request information belonging to the same category in accordance with predetermined abstraction rules based on the classification information recorded in the recording means, and recording the abstracted search request information in the recording means.

[0004] In addition, a medical cooperation system (see Patent Document 2) has been proposed that allows the progress of cooperation items at the cooperation destination after cooperation to be grasped, enabling smooth cooperation. In this medical cooperation system, a management server and terminal devices provided in each of a plurality of medical facilities are connected to be able to transmit and receive data via a communication network, and the terminal device is equipped with a terminal control unit that transmits cooperation information to the management server, including cooperation source information on a cooperation source user operating the terminal device, cooperation destination information on a cooperation destination user operating a terminal device of the cooperation destination medical facility, and cooperation content information indicating the cooperation content, and when the management server receives the cooperation information, the server control unit notifies the terminal device operated by the cooperation destination user indicated by the cooperation destination information included in the cooperation information that there is a cooperation request, and when there is a response to the cooperation content information included in the cooperation information from the terminal device that received the notification, notifies the terminal device operated by the cooperation source user indicated by the cooperation source information that there is a response; The present invention relates to a medical collaboration system characterized by comprising: [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2004-280415 A [Patent Document 2] JP 2011-198310 A Summary of the Invention [Problem to be solved by the invention]

[0006] For example, in a matching platform that matches buyers and suppliers, information about each party's product sales and implementation needs can be collected on the platform, making it possible to match parties with matching needs. On the other hand, as such matching platforms grow and the number of users and registered information increases, there are cases in which the number of matching results for a single case becomes enormous.

[0007] Users faced with this situation are likely to incur excessive operational costs in selecting a preferred trading partner from an overwhelming number of options and ultimately reaching a contract.

[0008] In addition, even if a business partner is selected after incurring a reasonable amount of operational costs, there is a possibility that the attributes of the company or the business partner do not meet the specified trading criteria, and the contract will not be concluded. In order to minimize this possibility, it is possible for the parties to disclose to each other specific financial and management information, as well as detailed trading criteria that they wish to keep secret from the outside world, but all of this information is sensitive, and disclosing it is not realistic.

[0009] Therefore, an object of the present invention is to provide a technique that enables support for efficient business matching while appropriately managing business costs and efficiency. [Means for solving the problem]

[0010] The service matching support device of the present invention, which solves the above-mentioned problems, is an information processing device that matches users who wish to either use or receive a service, and is characterized by comprising: a checklist for confirming the suitability of a trading partner, which merges the evaluation criteria of the trading partner of each service provider; a storage device that stores information on the services provided by the service provider and information on past service provision; a process for acquiring the check results of the service user who wishes to use the service using the checklist from the terminal of the service user; a process for breaking down the check results into the evaluation criteria of each service provider and judging the suitability of the service provider as a trading partner of the service user for each service provider; and a calculation device that executes a process for identifying, as candidate services suitable for the service user, services provided by service providers identified as suitable trading partners for the service user, which meet the desired conditions obtained from the terminal of the service user, and which satisfy criteria for attributes of events that are emphasized in a service user group similar to the service user. In addition, the service matching support method of the present invention is characterized in that an information processing device that matches users who wish to either use or receive a service stores in a storage device a checklist for confirming the suitability of a trading partner, which merges the evaluation criteria of the trading partner of each service provider, information on the services provided by the service provider, and information on past service provision, and acquires the results of checking the checklist by the person wishing to use the service from the terminal of the person wishing to use the service, breaks down the check results into the evaluation criteria of each service provider, and judges the suitability of the service provider as a trading partner of the person wishing to use the service for each service provider, and identifies, from among the candidate services provided by the service provider identified as an appropriate trading partner of the person wishing to use the service and that meet the desired conditions obtained from the terminal of the person wishing to use the service, those that meet the criteria for attributes of events that are emphasized in a service user group similar to the person wishing to use the service, as candidate services suitable for the person wishing to use the service. Effect of the Invention

[0011] According to the present invention, it is possible to support efficient business matching while appropriately managing business costs and efficiency. [Brief description of the drawings]

[0012] [Figure 1] 1 is a diagram illustrating a network configuration including a service matching support device according to an embodiment of the present invention. [Diagram 2] FIG. 4 is a diagram showing an example of the configuration of user information in the present embodiment. [Diagram 3] FIG. 4 is a diagram showing an example of the configuration of service information in the present embodiment. [Figure 4] FIG. 4 is a diagram showing an example of the configuration of performance information in the present embodiment. [Diagram 5] 2 is a diagram showing an example of the configuration of trading partner evaluation information in this embodiment. FIG. [Figure 6] 1 is a diagram illustrating an example of a hardware configuration of a service matching support device according to an embodiment of the present invention. [Figure 7] FIG. 4 is a diagram showing an example of the configuration of a checklist in the present embodiment. [Figure 8] FIG. 2 is a diagram showing an example of the configuration of a trading partner candidate list in the present embodiment. [Figure 9] FIG. 2 is a diagram showing an example of the configuration of a service evaluation formula table in the present embodiment. [Figure 10] FIG. 2 is a diagram illustrating an example of the configuration of a performance information DB in the present embodiment. [Figure 11] 4 is a diagram showing an example of the configuration of a service information DB in the present embodiment. FIG. [Figure 12] 4 is a diagram showing an example of the configuration of a service compatibility evaluation table in the present embodiment. FIG. [Figure 13] FIG. 2 is a diagram illustrating an example of a flow of a service matching support method according to the present embodiment. [Figure 14] FIG. 2 is a diagram illustrating an example of a flow of a service matching support method according to the present embodiment. [Figure 15]FIG. 2 is a diagram illustrating an example of a flow of a service matching support method according to the present embodiment. [Figure 16] FIG. 2 is a diagram illustrating an example of a flow of a service matching support method according to the present embodiment. [Figure 17] FIG. 11 is a diagram showing an example of a check result in the present embodiment. [Figure 18] 11A and 11B are diagrams illustrating examples of determination results for each service provider in the present embodiment. [Figure 19] FIG. 11 is a diagram illustrating a conceptual example of a service narrowing-down process according to the present embodiment. [Figure 20] FIG. 11 is a diagram showing an example of output in this embodiment. [Figure 21] FIG. 11 is a diagram showing an example of output in this embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] <Network configuration> Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. Fig. 1 is a network configuration diagram including a service matching support device 100 of this embodiment. The service matching support device 100 shown in Fig. 1 is a computer that enables support for efficient business matching while appropriately managing business costs and business efficiency.

[0014] A specific example of a business matching scenario that can be envisioned here is a situation in which financial or non-financial services from various financial institutions (e.g., regional banks, etc.) are provided to various businesses across traditional trade areas (e.g., prefectures, etc.) on a digital platform operated by the service matching support device 100. Of course, this scenario is merely one example and does not limit the parties, regions, content of services, etc.

[0015] By implementing the service matching support method of this embodiment in the above-mentioned situation, it becomes possible to acquire a wide range of business skills and assets across the locations and trade areas of local companies, and to support business expansion.

[0016] In the detailed explanation below, we will provide various explanations assuming a situation in which a business in a certain region (e.g. a financial institution) is considering selling idle land it owns, and a business in another region is looking for land to set up manufacturing equipment.

[0017] In such a situation, the service matching support device 100 of the present embodiment is communicably connected to a user terminal 200, a provider terminal 250, and an information providing system 300 via a network 1, as shown in Fig. 1. Therefore, these may be collectively referred to as a service matching support system 10.

[0018] The service matching support device 100 of the present embodiment can be said to be a device for providing a service matching support service for business cases, such as matching the buying and selling of business land between the above-mentioned businesses. The service matching support device 100 is specifically configured by a server device.

[0019] On the other hand, the user terminal 200 is a terminal of an operator who wishes to use a service that is to be provided by another operator. The service matching support device 100 identifies a service that the operator who uses the user terminal 200 wishes to use among the above-mentioned "services that are to be provided by other operators" by matching using the service matching support method of this embodiment, and delivers information on the service to the user terminal 200. Specific implementation examples of the user terminal 200 include, for example, a mobile phone, a tablet terminal, and a smartphone.

[0020] The user terminal 200 holds user information 201 in its own storage means (not shown). This user information 201 is information on the business operator who is the user, and includes identification information such as an ID and information such as the type of business, as shown in FIG.

[0021] The provider terminal 250 is a terminal of an operator who wishes to use a service that is to be provided by another operator. The service matching support device 100 identifies a service that the operator using the user terminal 200 wishes to use among the above-mentioned "services that are to be provided by other operators" by matching using the service matching support method of this embodiment, and delivers information on the service to the user terminal 200. Specific implementation examples of the user terminal 200 include, for example, a mobile phone, a tablet terminal, and a smartphone.

[0022] The provider terminal 250 stores service information 251, performance information 252, and transaction partner evaluation information 253 in its own storage means (not shown).

[0023] 3, the service information 251 is information about a service that is to be provided by a business operator operating the provider terminal 250. This service information includes information such as a service ID that uniquely identifies the service, basic specifications (e.g., location, price, area, building coverage ratio, etc. of the land), the service provision environment (e.g., infrastructure environment of the land), and other information (e.g., the presence or absence and contents of regulations that should be considered when using the service).

[0024] Moreover, as shown in FIG. 4, performance information 252 is information on services provided to other businesses, and includes information such as the service ID of the service, the industry of the other business to which the service is provided, business content (e.g., main products, etc.; same as the basic specification information of the service used), resource information (e.g., number of factories, factory area, number of employees, etc.), basic specification information (same as the basic specification information of the service used), service provision environment (same as the information on the service provision environment of the service used), and other information (same as other information of the service used).

[0025] The trading partner evaluation information 253 is information that specifies the desired conditions for a trading partner to which services are to be provided, and includes information such as evaluation items (e.g., industry, sales trends, operating profit trends, cash and deposit balance, borrowing status, return on equity, etc.) and evaluation values ​​for the evaluation items (e.g., other than the military industry, over 10 billion yen, etc.), as shown in FIG.

[0026] The information providing system 300 is a system operated by a business operator that collects and provides various corporate information such as the business details, business scale, personnel, and financial status of each business operator. In response to a request from the service matching support device 100, the information providing system 300 extracts information on the items indicated by the request (e.g., raw materials used in product manufacturing, head office location, etc.) from its own information management database, etc. <Hardware configuration> Moreover, the hardware configuration of the service matching support device 100 of this embodiment is as shown in FIG.

[0027] That is, the service matching support device 100 includes a storage device 101 , a memory 103 , a calculation device 104 , and a communication device 105 .

[0028] Of these, the storage device 101 is configured with an appropriate non-volatile storage element such as an SSD (Solid State Drive) or an HDD (Hard Disk Drive).

[0029] The memory 103 is composed of a volatile storage element such as a RAM (Random Access Memory).

[0030] The arithmetic device 104 is a CPU (Central Processing Unit) that reads out the program 102 stored in the storage device 101 into the memory 103 and executes the program, controls the device itself, and performs various types of judgment, calculation, and control processing.

[0031] The communication device 105 is assumed to be a network interface card, a mobile communication chip, or the like, which is connected to the network 1 and handles communication processing with the user terminal 200, the provider terminal 250, and the information providing system 300.

[0032] The network 1 may be any of a variety of networks, such as the Internet, a mobile phone network, a LAN (Local Area Network), or a WAN (Wide Area Network).

[0033] Furthermore, the service matching support device 100 may further include an input device that accepts key input or voice input from each business operator (a person who wishes to use a service or a provider of the service) and an output device such as a display that displays processed data.

[0034] In addition to the program 102 for implementing the functions required for the service matching support device of this embodiment, at least a checklist 125, a trading partner candidate list 126, a service evaluation formula table 127, a performance information DB 128, a service information DB 129, and a service compatibility evaluation table 130 are stored in the storage device 101. However, specific examples of this information and data will be described later. <Data structure example> Next, a description will be given of various types of information used by the service matching support device 100 of this embodiment. An example of the checklist 125 in this embodiment is shown in FIG.

[0035] The checklist 125 in this embodiment is a checklist for confirming suitability of a trading partner, which is a merger of the evaluation criteria of the trading partner from each service provider. Specifically, it is a list for a person who wishes to use a service to answer the evaluation items, which are the merged evaluation criteria, according to his / her own attributes.

[0036] This checklist 125 is a collection of records linking together data such as evaluation items, evaluation values ​​of the evaluation items, and evaluation columns. The values ​​in the evaluation item column are, for example, a list of all evaluation item values ​​obtained from a business entity (service provider) that provides a certain type of service (e.g., provision of real estate such as business sites) without duplication.

[0037] In addition, the values ​​in the evaluation value column are answer options that are range segments of the evaluation values ​​of the evaluation items obtained from businesses (service providers) that provide the above types of services, with specific consideration given to them.

[0038] The value range segments generated with the above considerations are segments in which no value range can uniquely identify a business operator (a respondent who wishes to use the service), and are generated using techniques such as k-anonymization.

[0039] In this case, the service matching support device 100 first creates a segment proposal by aggregating the evaluation values ​​of each business (service provider) for each evaluation item. For example, assume that the following evaluation value information is obtained from three service providers, A to C, for the evaluation item "sales amount": Company A: 12 billion yen or more, Company B: 40 billion yen or more, and Company C: 80 billion yen or more.

[0040] In addition, the service matching support device 100 obtains information regarding the sales amount of each company from the information providing system 300, classifies the companies according to the sales amount, and counts the number of companies belonging to each sales amount segment (e.g., sales amount less than 1 billion yen, sales amount between 1 billion and 5 billion yen, sales amount between 5 billion and 10 billion yen, sales amount between 10 billion and 20 billion yen, sales amount between 20 billion and 50 billion yen, sales amount between 50 billion and 100 billion yen).

[0041] As a result of the counting, the number of companies in each segment was as follows: sales of less than 1 billion yen: 8 companies, sales of 1 billion to 5 billion yen: 10 companies, sales of 5 billion to 10 billion yen: 11 companies, sales of 10 billion to 20 billion yen: 1 company, sales of 20 billion to 50 billion yen: 12 companies, and sales of 50 billion to 100 billion yen: 17 companies.

[0042] For example, the service matching support device 100 determines whether the number of companies belonging to each of the above-mentioned segments, which includes the evaluation values, i.e., sales amounts, obtained from the above three companies A to C, is k or more (set appropriately using k anonymization technology; hereinafter, 10 companies). For segments with 10 or fewer companies as a result of this determination, measures such as merging with segments with adjacent value ranges to form one segment are implemented so that the number of companies including evaluation values ​​in the segment is 10 or more.

[0043] For example, if there is only one company in the segment with sales of 10 billion yen or more and less than 20 billion yen, the company with the sales amount of "12 billion yen or more" specified by Company A above will be that one company. In other words, if the response of the applicant to Checklist 125 is "Sales amount: 12 billion yen or more," the applicant company will be easily identified.

[0044] Therefore, the service matching support device 100 merges the segment of "sales of 10 billion yen or more and less than 20 billion yen" with the segment of "sales less than 1 billion yen," the segment of "sales of 1 billion yen or more and less than 5 billion yen," the segment of "sales of 5 billion yen or more and less than 10 billion yen," and generates a segment of "sales of 10 billion yen or more." This allows the number of companies included in the segment of "sales of 10 billion yen or more" to be expanded to 8 companies + 10 companies + 11 companies + 1 company = 30 companies, which is more than 10 companies.

[0045] The evaluation values ​​for "sales amount" generated through the generation and expansion of such segments are as shown in checklist 125 in FIG. 7, A: 10 billion yen or more, B: less than 50 billion yen, C: less than 100 billion yen, etc.

[0046] 8 shows an example of the configuration of the transaction partner candidate list 126 in this embodiment. The transaction partner candidate list 126 in this embodiment is a table that stores the results of the check results in the checklist 125 by the person who wishes to use the service, broken down into evaluation criteria for each service provider, and the results of the suitability judgment of the service provider as a transaction partner for the person who wishes to use the service.

[0047] This transaction partner candidate list 126 is, for example, a collection of records linked with identification information of service providers who are suitable transaction partners for the user. This transaction partner candidate list 126 is generated and stored temporarily.

[0048] 9 shows an example of the configuration of the service evaluation formula table 127 in this embodiment. The service evaluation formula table 127 in this embodiment is a table that stores a calculation method of an evaluation value for each evaluation item.

[0049] This service evaluation formula table 127 is a collection of records that link the evaluation content for calculating the evaluation value of an evaluation item, for example, using the evaluation item as a key. Regarding the "acquired data" used in this calculation content, for example, regarding the evaluation item "convenience of obtaining raw materials, etc.", it is stipulated that the "industry that handles raw materials" is acquired from the user terminal 200 of the "applicant" (a person who wishes to use), "location information" regarding the service is acquired from the "case information" (information on the service), and the search results of companies in the "industry that handles raw materials" in the area indicated by the "location information" are acquired from the information providing system 300 as "external information." Furthermore, based on the "acquired data" thus obtained, it is stipulated that the number of companies indicated by the "search result" is adopted as the "evaluation item," and the evaluation value is determined for the condition that this number of companies corresponds to among the conditions set in the "point" column.

[0050] For example, with regard to the evaluation item "Ease of obtaining raw materials, etc.", assume that "limestone manufacturing industry" is obtained from the user terminal 200 of the "applicant" (person wishing to use) as the "industry that handles raw materials," "Chichibu City, Saitama Prefecture" is obtained as the "location information" for the service from the "case information" (information on the service), and "5 companies" are obtained as the search results for companies in the "limestone manufacturing industry" in "Chichibu City, Saitama Prefecture" indicated by the "location information" from the information provision system 300 as "external information." In this case, the number of companies thus obtained, "5 companies," meets the condition set in the "points" column of "5 or more companies: 3 points," so that the evaluation value for the evaluation item "ease of obtaining raw materials, etc." can be specified as "3."

[0051] The service matching support device 100 generates a service suitability evaluation table 130 (described later) by applying the above-mentioned service evaluation formula table 127 to records related to the corresponding business type among records in a performance information DB 128 (described later). Specific details of this generation will be described later. Also, Fig. 10 shows an example of the configuration of the performance information DB 128 in this embodiment. The performance information DB 128 in this embodiment is a database that stores information on services provided to other businesses in the past.

[0052] This performance information DB128 is a collection of records that link together information such as the service ID of the service provided, the industry of the other business to which the service is provided, business content (e.g., main products, etc.; same as the basic specification information of the service used), resource information (e.g., number of factories, factory area, number of employees, etc.), basic specification information (same as the basic specification information of the service used), service provision environment (same as the information on the service provision environment of the service used), and other information (same as other information of the service used).

[0053] 11 shows an example of the configuration of the service information DB 129 in this embodiment. The service information DB 129 in this embodiment is a database that stores and accumulates service information 251 obtained from a provider terminal 250 of a service provider.

[0054] This service information DB129 is a collection of records linking together data including, for example, a service ID that uniquely identifies the service, basic specifications (e.g., land location, price, area, building coverage ratio, etc.), service provision environment (e.g., infrastructure environment of the land), and other information (e.g., the presence and content of regulations that should be considered when using the service).

[0055] 12 shows an example of the configuration of the service suitability evaluation table 130 in this embodiment. The service suitability evaluation table 130 in this embodiment is a table that stores representative values ​​of evaluation values ​​for each evaluation item for each business type of service users.

[0056] For example, the service matching support device 100 extracts performance information on the "land buying and selling" service by each service user in the "concrete manufacturing" industry from the performance information DB 128. In addition, the service matching support device 100 obtains an evaluation value for each evaluation item in the use of the "land buying and selling" service by each service user in the "concrete manufacturing" industry by applying the performance information and the service user information to each evaluation content (evaluation method) defined in the service evaluation formula table 127 for "land buying and selling". The service matching support device 100 performs a predetermined statistical process (e.g., calculation of the average or median) on the evaluation values ​​thus obtained for each service user to identify a representative value of the evaluation value for the evaluation item.

[0057] More specifically, for example, with respect to the evaluation item "Ease of obtaining raw materials, etc.", it is assumed that the search results "5 companies" of companies in the "limestone manufacturing industry" as the "industry that handles raw materials," "Chichibu City, Saitama Prefecture" as the "location information," and "external information" as the "limestone manufacturing industry" in "Chichibu City, Saitama Prefecture" are obtained according to the contents specified in the service evaluation formula table 127. In this case, the service matching support device 100 specifies "3" as the evaluation value of the evaluation item "Ease of obtaining raw materials, etc." because the number of companies thus obtained, "5 companies," satisfies the condition "5 companies or more: 3 points" specified in the "points" column of the service evaluation formula table 127. The service matching support device 100 similarly executes such processing for other service users, and assumes that evaluation values ​​"2," "1," "3," "2," and "1" are obtained, for example.

[0058] The service matching support device 100 performs statistical processing of the evaluation values ​​for the evaluation item "ease of obtaining raw materials, etc." obtained for each service user, and calculates, for example, the average evaluation value as (3+2+1+3+2+1) / 6=2, thereby obtaining a representative value of "2."

[0059] In addition, even among service users in the same industry, there may be cases where the tendency of the evaluation value of each evaluation item is different. For example, regarding evaluation items such as evaluation item 1 "proximity to distributors", evaluation item 2 "ease of obtaining raw materials, etc.", evaluation item 3 "proximity to the market", evaluation item 4 "ease of securing human resources", and evaluation item 5 "proximity to the company", a certain service user group A may have high evaluation values ​​only for evaluation item 2 "ease of obtaining raw materials, etc." and evaluation item 3 "proximity to the market", and the other evaluation items tend to be small enough to be negligible, while a service user group B may have high evaluation values ​​only for evaluation item 1 "proximity to distributors" and evaluation item 2 "ease of obtaining raw materials, etc.", and the other evaluation items tend to be small enough to be negligible. Such characteristics can be said to suggest the evaluation items that the group emphasizes.

[0060] Therefore, the service matching support device 100 generates groups by grouping the service users for each of the above-mentioned characteristics, calculates the above-mentioned representative value for each group, and stores it in the service compatibility evaluation table 130. In this case, the service matching support device 100 performs statistical processing (e.g., calculation of the average value or median value) of the representative value of each service user belonging to the group, and calculates the representative value for the group. <Flow example: Checklist generation> The actual procedure of the service matching support method in this embodiment will be described below with reference to the drawings. The various operations corresponding to the service matching support method described below are realized by a program that the service matching support device 100 reads into a memory or the like and executes. This program is composed of codes for performing the various operations described below.

[0061] FIG. 13 is a diagram showing an example of the flow of a service matching support method in this embodiment, and specifically, a flow diagram showing an example of a process for generating a checklist 125.

[0062] In this case, the service matching support device 100 first receives information on the evaluation criteria of desirable trading partners from the service provider's provider terminal 250 (s1). Specifically, for example, it is assumed that evaluation value information for the evaluation item "sales amount" from three service providers A to C is obtained as follows: Company A: 12 billion yen or more, Company B: 40 billion yen or more, and Company C: 80 billion yen or more. Here, an evaluation value in the checklist 125, which is a check content based on all of this evaluation value information on "sales amount", is generated.

[0063] Next, based on the evaluation criteria information obtained for each evaluation item for each service provider in step s1 above, the service matching support device 100 obtains information regarding the "sales amount" of each company from the information providing system 300, classifies the companies according to the sales amount, and counts the number of companies belonging to each sales amount segment (e.g., sales amount less than 1 billion yen, sales amount between 1 billion and 5 billion yen, sales amount between 5 billion and 10 billion yen, sales amount between 10 billion and 20 billion yen, sales amount between 20 billion and 50 billion yen, sales amount between 50 billion and 100 billion yen) (s2).

[0064] As a result of the counting, the number of companies in each segment was as follows: sales of less than 1 billion yen: 8 companies, sales of 1 billion to 5 billion yen: 10 companies, sales of 5 billion to 10 billion yen: 11 companies, sales of 10 billion to 20 billion yen: 1 company, sales of 20 billion to 50 billion yen: 12 companies, and sales of 50 billion to 100 billion yen: 17 companies.

[0065] Next, the service matching support device 100 determines whether the number of companies belonging to each of the above-mentioned segments, which includes the evaluation values, i.e., sales amounts, obtained from the three companies A to C, is k or more (k is appropriately set using anonymization technology; hereinafter, 10 companies) (s3).

[0066] As a result of this determination, for a segment with 10 or fewer companies, the service matching support device 100 implements measures such as merging the segment with an adjacent value range to create a single segment, so that the number of companies with evaluation values ​​in the segment becomes 10 or more (s4).

[0067] For example, if there is only one company in the segment with sales of 10 billion yen or more and less than 20 billion yen, the company with the sales amount of "12 billion yen or more" specified by Company A above will be that one company. In other words, if the response of the applicant to Checklist 125 is "Sales amount: 12 billion yen or more," the applicant company will be easily identified.

[0068] Therefore, the service matching support device 100 merges the segment of "sales of 10 billion yen or more and less than 20 billion yen" with the segment of "sales less than 1 billion yen," the segment of "sales of 1 billion yen or more and less than 5 billion yen," the segment of "sales of 5 billion yen or more and less than 10 billion yen," and generates a segment of "sales of 10 billion yen or more." This allows the number of companies included in the segment of "sales of 10 billion yen or more" to be expanded to 8 companies + 10 companies + 11 companies + 1 company = 30 companies, which is more than 10 companies.

[0069] The service matching support device 100 performs the above-mentioned segment generation and expansion, etc., and specifies the evaluation value for "sales amount" as A: 10 billion yen or more, B: less than 50 billion yen, C: less than 100 billion yen, etc. (s5). In other words, the evaluation criterion information from each service provider that is related to "sales amount" is merged, and one record (evaluation value related to the evaluation item "sales amount") in the checklist 125 is generated. The service matching support device 100 performs such processing for each evaluation item indicated by the evaluation criterion obtained from the provider terminal 250 of the service provider, and finally forms the checklist 125 (s6). <Flow example: Service provider selection> Next, the process of narrowing down service providers will be described with reference to Fig. 14. Fig. 14 is a diagram showing an example of the flow of the service matching support method in this embodiment, specifically, a flow diagram showing the process of narrowing down service providers.

[0070] In this case, the service matching support device 100 distributes the above-mentioned check list 125 to the user terminal 200 of the person who wishes to use the service, and acquires the check results of the check list 125 (s10). An example of the check result 1000 obtained here is shown in FIG.

[0071] In the example of Figure 17, for the evaluation item "industry", the evaluation value is "other than defense industry", for the evaluation item "sales", the evaluation value is "A: 10 billion yen or more, B: less than 50 billion yen, C: less than 100 billion yen", for the evaluation item "operating profit", the evaluation value is "A: X yen or more, B: less than Y yen, C: less than Z yen", for the evaluation item "cash and deposit balance", the evaluation value is "A: X yen or more, B: less than Y yen, C: less than Z yen", for the evaluation item "equity ratio", the evaluation value is "A: X% or more, B: less than X%, C: less than Z%,", for the evaluation item "fixed ratio", the evaluation value is "X% or less, B: less than Y%, C: less than Z%,", and for the evaluation item "loans", the evaluation value is "A: X million yen or less, B: Y million yen or less, C: Z thousand yen or less". In addition, the service matching support device 100 breaks down the answers from the person wishing to use the service in this case obtained in step s10, i.e., the answers regarding the evaluation values ​​of each evaluation item asked in the checklist 125, into the evaluation criteria of each service provider (s11).

[0072] The service matching support device 100 also tally up the responses regarding the evaluation values ​​of the evaluation items for each service provider obtained by the decomposition in s11, and based on the tally up results, judges whether the service provider is suitable as a trading partner for the prospective user (s12). An example of the result of this judgment is shown in FIG.

[0073] In the example of Figure 18, the evaluation items and evaluation values ​​in the checklist 125, as well as the evaluation values ​​and responses from the prospective users, are separated using the evaluation items in the evaluation criteria (obtained from the provider terminal 250) that the service provider specifies for its trading partners as a key, and the judgment results 1010 for each service provider are obtained.

[0074] For example, the answers to the checklist 125 from a certain prospective user (check result 1000 in FIG. 17; similarly below) are as follows: for the evaluation item "industry," the answer is "○" for the evaluation value "other than defense industry," for the evaluation item "sales amount," the answer is "A" for the evaluation value "A: 10 billion yen or more, B: less than 50 billion yen, C: less than 100 billion yen," for the evaluation item "operating profit," the answer is "B" for the evaluation value "A: X yen or more, B: less than Y yen, C: less than Z yen," and for the evaluation item "cash and deposit balance," the answer is "○" for the evaluation item "sales amount," the answer is "A" for the evaluation value "A: X yen or more, B: less than Y yen, C: less than Z yen." The answer is "A" for the evaluation item "Equity ratio": "A: X% or more, B: less than Y%, C: less than Z%", the answer is "C", the answer is "C" for the evaluation item "Fixed ratio": "X% or less, B: less than Y%, C: less than Z%, the answer is "C", and for the evaluation item "Loans", the answer is "A" for the evaluation item "X million yen or less, B: Y million yen or less, C: Z million yen or less".

[0075] On the other hand, suppose that "A", one of the service providers who provided the evaluation criteria such as the evaluation items and evaluation values ​​that constitute this checklist 125, originally specified values ​​such as the evaluation value "other than defense industry" for the evaluation item "industry," the evaluation value "over 10 billion yen" for the evaluation item "sales amount," and the evaluation value "less than 50 million yen" for the evaluation item "loans."

[0076] In this case, the service matching support device 100 extracts answers from the prospective users on the checklist 125 regarding the evaluation items "industry type," "sales amount," and "loans" that the service provider "A" desires as evaluation criteria, and then standardizes and tallys the answers.

[0077] The above-mentioned standardization is, for example, a process of absorbing differences in the type and number of digits of answer values, and making them values ​​of the same dimension. In this embodiment, as an example, the answer "○" is converted to "top" and the answer "×" is converted to "bottom." In addition, the value of answer "A" is converted to "top," the value of answer "B" to "middle," and the value of answer "C" to "bottom."

[0078] The term "aggregation" refers to a process of calculating the ratio of the number of evaluation items for which the standardized answer values ​​were "high" or "medium" to the total number of evaluation items. For example, the example of the determination result 1010 shown in FIG. 18 indicates that the aggregation result, i.e., the ratio of evaluation items that passed, was "80%." Similarly, the example of the determination result 1020 indicates that the aggregation result, i.e., the ratio of evaluation items that passed, was "40%." If this ratio value is, for example, 50% or more, the service matching support device 100 determines that the service provider "A" that specifies the evaluation criteria is a suitable trading partner for the current user.

[0079] By carrying out the above-mentioned processing, the service matching support device 100 generates a list of service providers that are suitable for the current user, i.e., that are easy to match, i.e., a candidate trading partner list 126 (s13), stores this in the storage device 101 (or memory 103) (s14), and terminates the processing. <Flow example: Creating a service conformance evaluation table> Next, the process of generating the service compatibility evaluation table 130 will be described with reference to the drawing. Fig. 15 is a diagram showing an example of the flow of the service matching support method in this embodiment, specifically, a flow diagram showing the process of generating the service compatibility evaluation table 130.

[0080] In this case, the service matching support device 100 extracts, for example, performance information on the "land buying and selling" service by each service user in the "concrete manufacturing" industry from the performance information DB 128 (s20).

[0081] In addition, the service matching support device 100 applies the performance information extracted in s20 and the information of the service user (obtained as user information 201 from the user terminal 200) to each evaluation content (evaluation method) specified in the service evaluation formula table 127 regarding "land purchase and sale," thereby obtaining an evaluation value for each evaluation item in the use of the "land purchase and sale" service by each service user of the "concrete manufacturing industry" (s21).

[0082] The service matching support device 100 performs a predetermined statistical process (eg, calculation of an average or median) on the evaluation values ​​thus obtained for each service user, thereby identifying a representative value of the evaluation values ​​for the evaluation item (s22).

[0083] More specifically, for example, with regard to the evaluation item "ease of obtaining raw materials, etc.", in accordance with the contents specified in the service evaluation formula table 127, the search results for "five companies" in the "limestone manufacturing industry" for "industry handling raw materials," "location information" for "Chichibu City, Saitama Prefecture," and "external information" for "limestone manufacturing industry" in "Chichibu City, Saitama Prefecture" have been obtained.

[0084] In this case, the service matching support device 100 specifies the evaluation value of the evaluation item "ease of obtaining raw materials, etc." as "3" because the number of companies thus obtained, "5 companies," satisfies the condition "5 or more companies: 3 points" defined in the "Points" column of the service evaluation formula table 127.

[0085] The service matching support device 100 performs the same process for other service users, and assumes that evaluation values ​​of "2", "1", "3", "2", and "1" are obtained. The service matching support device 100 performs statistical processing of the evaluation values ​​for the evaluation item "ease of obtaining raw materials, etc." obtained for each service user, and calculates, for example, the average evaluation value as (3+2+1+3+2+1) / 6=2, and obtains a representative value of "2".

[0086] The service matching support device 100 sets the identified representative value in the column of the evaluation item "Ease of obtaining raw materials, etc." for the business type "concrete manufacturing industry" (s23), and generates the service suitability evaluation table 128. Of course, the service matching support device 100 similarly identifies representative values ​​for other evaluation items in the business type and sets them in the evaluation item columns.

[0087] In addition, even among service users in the same industry, there may be cases where the tendency of the evaluation value of each evaluation item is different. For example, regarding evaluation items such as evaluation item 1 "proximity to distributors", evaluation item 2 "ease of obtaining raw materials, etc.", evaluation item 3 "proximity to the market", evaluation item 4 "ease of securing human resources", and evaluation item 5 "proximity to the company", a certain service user group A may have high evaluation values ​​only for evaluation item 2 "ease of obtaining raw materials, etc." and evaluation item 3 "proximity to the market", and the other evaluation items tend to be small enough to be negligible, while a service user group B may have high evaluation values ​​only for evaluation item 1 "proximity to distributors" and evaluation item 2 "ease of obtaining raw materials, etc.", and the other evaluation items tend to be small enough to be negligible. Such characteristics can be said to suggest the evaluation items that the group emphasizes.

[0088] Therefore, the service matching support device 100 generates groups by grouping the service users for each of the above-mentioned characteristics, calculates a representative value of the above-mentioned "important evaluation item" for each group, and stores it in the service compatibility evaluation table 130. In this case, the service matching support device 100 performs statistical processing (e.g., calculation of the average value or median value) of the representative value of each service user belonging to the group, and calculates the representative value of the group. <Flow example: Service filtering process> Next, the process of generating the service compatibility evaluation table will be described with reference to Fig. 16. Fig. 16 is a diagram showing an example of the flow of the service matching support method in this embodiment, specifically, a flow diagram showing the service narrowing down process.

[0089] In this case, the service matching support device 100 first identifies a group of service users who are similar to the user applicant (as exemplified in the explanation of the process of generating the service compatibility evaluation table 130) (s30).

[0090] Specifically, the service matching support device 100 applies the information already acquired about the prospective user and the information about the candidate service (the service being processed) to the evaluation content (point determination rule) for an evaluation item (e.g., proximity to a distributor) that can be identified based on the information already acquired about the prospective user (e.g., industry) and the information about the candidate service (a service from a service provider identified as a suitable trading partner for the prospective user and that matches the desired conditions obtained from the prospective user's user terminal 200) (e.g., land location), and determines an evaluation value such as "0.4".

[0091] Among the information used in calculating the evaluation value here, the information already acquired about the prospective user (e.g., industry) and the information about the candidate services (e.g., land location) have both been obtained in advance from the prospective user's user terminal 200 and the service provider's provider terminal 250, and there is no need to acquire additional information from those terminals or the information provision system 300.

[0092] In addition, the service matching support device 100 compares the evaluation value identified for the above-mentioned evaluation item with the representative value of the evaluation item for each of the groups generated for the industry, and identifies a group (e.g., group 1) where the two (evaluation value and representative value) are the same or within a certain range as a service user group similar to the above-mentioned user applicant (see Figure 19).

[0093] Next, the service matching support device 100 calculates an evaluation value using each piece of information on the prospective user and the candidate service to be processed for evaluation items (e.g., ease of obtaining raw materials, proximity to market) that are emphasized by the above-mentioned groups that are similar to the prospective user (s31).

[0094] More specifically, for example, with regard to the evaluation item "Ease of obtaining raw materials, etc.", it is assumed that the search results "4 companies" for companies in the "limestone manufacturing industry" in "Chichibu City, Saitama Prefecture" and "external information" for "industry handling raw materials" are obtained according to the contents specified in the service evaluation formula table 127. In this case, the service matching support device 100 specifies "2" as the evaluation value for the evaluation item "Ease of obtaining raw materials, etc.", since the number of companies thus obtained, "4 companies," satisfies the condition "3 or more companies: 2 points" specified in the "points" column of the service evaluation formula table 127.

[0095] Similarly, the service matching support device 100 acquires the search results "3 companies" for companies in the "construction industry" in "Chichibu City, Saitama Prefecture" as "main target customer", "location information" as "location information", and "external information" as "construction industry" in "Chichibu City, Saitama Prefecture" in accordance with the contents specified in the service evaluation formula table 127 for the evaluation item "proximity to market". In this case, the service matching support device 100 specifies "2" as the evaluation value for the evaluation item "proximity to market" because the number of companies thus acquired, "3 companies", satisfies the condition "3 or more companies: 2 points" specified in the "points" column of the service evaluation formula table 127.

[0096] The service matching support device 100 compares the evaluation values ​​of the above-mentioned prioritized evaluation items with the representative values ​​of the evaluation items in a group (group 1) similar to the prospective user, and determines whether the candidate service to be processed is a suitable service that will also match the prospective user similar to the group, depending on whether the difference between the two is within a certain range (s32).

[0097] If the result of the above-mentioned judgment is that the above-mentioned difference is not within a certain range (s33:N), the service matching support device 100 determines that the candidate service being processed does not match the user (s34) and transitions to processing for the next candidate service (s35).

[0098] On the other hand, if the result of the above-mentioned judgment is that the above-mentioned difference is within a certain range (s33: Y), the service matching support device 100 identifies the candidate service to be processed as a suitable service that matches the desired user (s36) and transitions to processing for the next candidate service (s35).

[0099] Next, when the service matching support device 100 has executed the above-mentioned determination process for all the candidate services (sZ:N), it distributes information on suitable candidate services that have been identified up to this point to the user terminal 200 of the would-be user (see FIG. 21) (s37), and ends the process. Of course, if no suitable candidate services have been identified, the service matching support device 100 distributes information to that effect (see FIG. 20) to the user terminal 200.

[0100] A prospective user who has viewed the information on suitable candidate services will recognize the content of the service indicated by the information and its provider, and will then click on a hyperlink (included on the screen delivered by the service matching support device 100) linked to the provider's contact email address or website to begin contracting for the target service.

[0101] Although the best mode for carrying out the present invention has been specifically described above, the present invention is not limited to this, and various modifications are possible without departing from the spirit and scope of the present invention.

[0102] According to this embodiment, it is possible to appropriately manage business costs and efficiency, while supporting efficient business matching.

[0103] The description of this specification makes at least the following clear: That is, in the service matching support device of this embodiment, the arithmetic device may further execute a process of receiving, from each service provider's terminal, information on evaluation criteria of trading partners of the respective service providers, and merging evaluation items and evaluation criteria values ​​of all the service providers from information on evaluation items and evaluation criteria values ​​indicated by the evaluation criteria information, to generate the checklist including all evaluation items and evaluation criteria values.

[0104] This allows the creation and use of checklists that specify a wide range of evaluation items and evaluation criteria values, making it difficult for would-be users who respond to the checklist to be identified based on the content of their responses.

[0105] In addition, in the service matching support device of this embodiment, the calculation device may further perform a process of applying the attribute values ​​of the previously provided services and the users of the services, as indicated by the performance information, to a judgment rule for service evaluation, and identifying an evaluation value for each predetermined evaluation item as a result of the suitability evaluation of the service for the users, and a process of grouping the users based on the similarity of the evaluation values ​​for each of the identified evaluation items to generate the service user group.

[0106] According to this, past user groups are formed in which users of the service (or those wishing to use the service) are grouped according to the criteria that matched them with the service, and these can be utilized in subsequent service narrowing-down processing.

[0107] In addition, in the service matching support device of this embodiment, the calculation device may further execute a process of statistically processing the evaluation values ​​for each of the identified evaluation items for the groups generated by the grouping, and a process of determining a representative value for each of the evaluation items, and a process of identifying, among the evaluation items, those whose representative values ​​are equal to or greater than a standard as the events to be emphasized.

[0108] This allows the characteristics of the group to be identified in terms of the representative values ​​of the evaluation items, and a combination of corresponding users and candidate services is determined in relation to the characteristics, leading to efficient identification of candidate services suitable for the users.

[0109] In addition, in the service matching support device of this embodiment, the calculation device may further perform a process of determining an evaluation value for an evaluation item that can be identified based on the information already acquired about the desired user and the information about the candidate services by applying the information about the desired user and the information about the candidate services to the judgment rule for the evaluation item, and a process of comparing the evaluation value determined for the evaluation item with a representative value of the evaluation item for each of the groups, and identifying groups in which the two values ​​match or are within a certain range as the similar service user groups.

[0110] This makes it possible to efficiently identify from the group those having attributes similar to the desired user in terms of the evaluation items.

[0111] In addition, in the service matching support method of this embodiment, the information processing device may further execute a process of receiving information on the evaluation criteria of trading partners of each service provider from the terminal of each service provider, and merging the evaluation items and evaluation criteria values ​​of all the service providers from the information on the evaluation items and evaluation criteria values ​​indicated in the evaluation criteria information to generate the checklist that includes all evaluation items and evaluation criteria values.

[0112] In addition, in the service matching support method of this embodiment, the information processing device may further perform a process of applying the attribute values ​​of the previously provided services and the users of the services, as indicated by the performance information, to a judgment rule for service evaluation, and identifying an evaluation value for each predetermined evaluation item as a result of the suitability evaluation of the service for the users, and a process of grouping the users based on the similarity of the evaluation values ​​for each of the identified evaluation items to generate the service user group.

[0113] In addition, in the service matching support method of this embodiment, the information processing device may further perform a process of statistically processing the evaluation values ​​for each of the identified evaluation items for the groups generated by the grouping, to determine a representative value for each of the evaluation items, and a process of identifying, among the evaluation items, those whose representative values ​​are equal to or greater than a standard as the events to be emphasized.

[0114] In addition, in the service matching support method of this embodiment, the information processing device may further perform a process of determining an evaluation value for an evaluation item that can be identified based on the information already acquired about the desired user and the information about the candidate services by applying the information already acquired about the desired user and the information about the candidate services to the judgment rule for the evaluation item, and a process of comparing the evaluation value determined for the evaluation item with a representative value of the evaluation item for each of the groups, and identifying groups in which the two match or are within a certain range as the similar service user groups. [Explanation of symbols]

[0115] 1 Network 10 Service matching support system 100 Service matching support device 101 Storage device 102 Programs 103 Memory 104 Arithmetic unit 105 Communication equipment 125 Checklist 126 List of potential trading partners 127 Service Evaluation Table 128 Performance Information DB 129 Service Information DB 130 Service Conformity Assessment Table 200 User terminals 201 User information 250 provider terminals 251 Service Information 252 Performance Information 253 Counterparty Evaluation Information 300 Information provision system

Claims

1. An information processing device that matches users who wish to use or receive a service, A storage device for storing a checklist for verifying suitability of a trading partner, the checklist being a merger of evaluation criteria for trading partners from each service provider, and information on services provided by the service provider and past performance information on service provision; a computing device that executes a process of acquiring the check results of the checklist performed by a person who wishes to use a service from the terminal of the person who wishes to use the service, a process of breaking down the check results into the evaluation criteria for each of the service providers and judging the suitability of each of the service providers as a trading partner for the person who wishes to use the service, and a process of identifying, from among the candidate services provided by the service providers identified as suitable trading partners for the person who wishes to use the service, those that meet the desired conditions obtained from the terminal of the person who wishes to use the service and that satisfy criteria for attributes of events that are considered important in a service user group similar to the person who wishes to use the service, as candidate services suitable for the person who wishes to use the service; A service matching support device comprising:

2. The computing device includes: and further executing a process of receiving, from each of the service providers' terminals, information on the evaluation criteria of the trading partners of each of the service providers, merging the evaluation items and evaluation criteria values ​​of all of the service providers from the information on the evaluation criteria and the evaluation criteria values ​​indicated by the information on the evaluation criteria, to generate the checklist including all the evaluation items and evaluation criteria values.

2. The service matching support device according to claim 1.

3. The computing device includes: the process further executes a process of applying a service provided in the past and attribute values ​​of users of the service, which are indicated by the performance information, to a judgment rule for evaluating the service, and specifying an evaluation value for each predetermined evaluation item as a result of the suitability evaluation of the service for the users, and a process of grouping the users based on the similarity of the evaluation values ​​for each of the specified evaluation items to generate the service user groups; 2. The service matching support device according to claim 1.

4. The computing device includes: The method further executes a process of statistically processing the evaluation values ​​for each of the identified evaluation items for the groups generated by the grouping to determine a representative value for each of the evaluation items, and a process of identifying, among the evaluation items, those whose representative values ​​are equal to or greater than a standard as the events to be emphasized.

4. The service matching support device according to claim 3.

5. The computing device includes: The method further executes a process of applying the information already acquired about the user and the information about the candidate services to the judgment rule for an evaluation item that can be identified based on the information already acquired about the user and the information about the candidate services to identify the evaluation value, and a process of comparing the evaluation value identified about the evaluation item with a representative value of the evaluation item for each of the groups, and identifying a group in which the two values ​​match or are within a certain range as the similar service user group.

5. The service matching support device according to claim 4.

6. An information processing device that matches users who wish to either use or receive a service, a storage device that stores a checklist for verifying suitability of a trading partner, the checklist being a merger of evaluation criteria for the trading partner of each service provider, information on the services provided by the service provider, and information on past service provision results; a process of acquiring the check results of the checklist performed by a person who wishes to use a service from the terminal of the person who wishes to use the service, a process of breaking down the check results into the evaluation criteria for each of the service providers and judging the suitability of each of the service providers as a trading partner for the person who wishes to use the service, and a process of identifying, from among the candidate services provided by the service providers identified as suitable trading partners for the person who wishes to use the service, those which meet the desired conditions obtained from the terminal of the person who wishes to use the service and which satisfy criteria for attributes of events that are considered important in a service user group similar to the person who wishes to use the service, as candidate services suitable for the person who wishes to use the service. A service matching support method that executes the above.

7. The information processing device, receiving, from each of the terminals of the service providers, information on the evaluation criteria of the trading partners of the respective service providers; merging the evaluation items and evaluation criteria values ​​of all of the service providers from the information on the evaluation criteria and the evaluation criteria values ​​indicated by the information on the evaluation criteria, to generate the checklist including all the evaluation items and evaluation criteria values; 7. The service matching support method according to claim 6.

8. The information processing device, a process of applying a service provided in the past and attribute values ​​of users of the service, which are indicated by the performance information, to a judgment rule for service evaluation, and specifying an evaluation value for each predetermined evaluation item as a result of the suitability evaluation of the service for the users; and a process of grouping the users based on the similarity of the evaluation values ​​for each of the specified evaluation items to generate the service user groups.

7. The service matching support method according to claim 6.

9. The information processing device, With respect to the groups generated by the grouping, a process of statistically processing the evaluation values ​​for each of the identified evaluation items to determine a representative value for each of the evaluation items, and a process of identifying, among the evaluation items, those whose representative values ​​are equal to or greater than a reference value as the events to be emphasized.

9. The service matching support method according to claim 8.

10. The information processing device, and further executing a process of applying the information already acquired about the user and the information about the candidate service to the judgment rule for an evaluation item that can be identified based on the information already acquired about the user and the information about the candidate service to identify the evaluation value, and a process of comparing the evaluation value identified about the evaluation item with a representative value of the evaluation item for each of the groups, and identifying a group where the two values ​​match or are within a certain range as the similar service user group.

10. The service matching support method according to claim 9.

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