Information provision system, information provision method, and information provision program

Abstract

The purpose is to provide a technology that determines the degree of advisability of a specific transaction proposal consisting of specific transaction content and transaction parties. [Solution] The system comprises a transaction proposal information input unit 9 that inputs target transaction information, which is information about a transaction proposal that is the subject of judgment on the degree of recommendation for realization; a target person information acquisition unit 10 that acquires person information, which is information about the person who will be a party to the transaction proposal that is the subject of judgment on the degree of recommendation for realization; a similar transaction information acquisition unit 11 that acquires transaction information about transactions that have commonality with the transaction proposal that is the subject of judgment on the degree of recommendation for realization and person information about the parties to the transaction; a transaction recommendation degree judgment unit 13 that judges the degree of recommendation of the transaction proposal that is the subject of judgment based on the transaction information etc. acquired by the similar transaction information acquisition unit 11; and a judgment result output unit 14 that outputs the judgment result of the transaction recommendation degree judgment unit 13.

Description

[Technical Field]

[0001] The present invention relates to a technique for providing information to a person who intends to conduct a transaction. [Background technology]

[0002] It has been common practice for some time to conduct credit checks on counterparties in advance of commercial transactions in order to avoid losses, and to do business with those who have the financial means to match the scale of the transaction, and not with those who do not. For example, financial institutions naturally make so-called credit decisions, in which they investigate the asset status (bank deposit balance, whether or not they own real estate, etc.) of individuals and companies that apply for loans, and only lend to individuals who are deemed to have a certain level of repayment ability.

[0003] For example, Patent Document 1 discloses a technology for determining the creditworthiness of a person who has visited a medical institution based on medical certificate information and the results of a questionnaire survey of the person's acquaintances. Patent Document 2 discloses a technology for determining whether a user can pay based on the payment amount (amount debited from a savings account) at the time of settlement and the credit amount set for each user. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 7340138 [Patent Document 2] Japanese Patent Application Publication No. 2025-067472 Summary of the Invention [Problem to be solved by the invention]

[0005] However, in general commercial transactions, the decision as to whether to proceed with a transaction is not determined solely by the credit information of the payer. Even if the payer has sufficient credit, depending on the transaction content, there is a reasonable possibility that the transaction will fail if the provider of the goods or services lacks the necessary capabilities. Furthermore, even if the payer has sufficient financial resources and the provider of the goods or services has sufficient capabilities, the transaction may fail due to poor communication between the parties, raising the issue of how to adjust the combination of contracting parties. Thus, the success or failure of a particular transaction can depend on the type and specific content of the transaction and the combination of the specific contracting parties. However, neither Patent Document 1 nor Patent Document 2 discloses a technology for determining the success or degree of a specific transaction.

[0006] The present invention has been made in consideration of the above-mentioned problems, and aims to provide a technology for determining the degree of advisability of a specific transaction proposal consisting of specific transaction content and transaction parties in a general transaction. [Means for solving the problem]

[0007] In order to achieve the above object, the information providing system of claim 1 is an information providing system that provides information regarding the determination result of the degree of advisability of realizing a transaction proposal including information regarding specified transaction content and transaction parties, and is characterized by comprising: a content proposal information input means for inputting content proposal information, which is information regarding the proposed transaction content in the transaction proposal; a party proposal information input means for inputting party proposal information, which is information regarding the proposed transaction party information in the transaction proposal; a similar transaction information acquisition means for acquiring similar transaction information, which is transaction information from a plurality of transaction information including content information, which is information regarding the content of individual past transactions, party information, which is information regarding the transaction parties in the transaction, and result information, which is information regarding the result of the transaction, where the content information has commonality with the content proposal information of the transaction proposal and the person information, which includes information regarding the behavioral history of the person identified in the party information, has commonality with the person information, which includes information regarding the behavioral history of the person identified in the party proposal information of the transaction proposal; a transaction recommendation degree determination means for determining the degree of advisability of realizing the transaction proposal based on the result information included in the similar transaction information acquired by the similar transaction information acquisition means; and a determination result output means for outputting the determination result by the transaction recommendation degree determination means.

[0008] In addition, in order to achieve the above object, the information providing system of claim 2 is characterized in that, in the above invention, the similar transaction information acquisition means generates commonality information, which is information regarding the strength of commonality between personal information and content information about persons identified in party information included in the similar transaction information and personal information and content proposal information about persons identified in party proposal information about the transaction proposal, and the transaction recommendation level determination means determines the recommendation level for realizing the transaction proposal based on the result information included in the similar transaction information and the commonality information.

[0009] Furthermore, in order to achieve the above-mentioned object, the information providing system of claim 3 is characterized in that, in the above-mentioned invention, the personal information includes behavioral evaluation information from a third party regarding the person's behavior and evaluator information which is information regarding the credibility of the evaluation by the third party, and the similar transaction information acquisition means, when determining whether the personal information including information regarding the behavioral history of the person identified in the party information has commonality with the personal information including information regarding the behavioral history of the person identified in the proposed party information of the proposed transaction, makes a determination based on the behavioral evaluation information and the evaluator information in addition to the behavioral history.

[0010] Furthermore, in order to achieve the above-mentioned object, the information providing method according to claim 4 is an information providing method for providing information regarding the determination result of the degree of advisability of realizing a proposed transaction that includes information regarding specified transaction content and parties to the transaction, and is characterized by comprising: a content proposal information input step for inputting content proposal information that is information regarding the proposed transaction content in the proposed transaction; a party proposal information input step for inputting party proposal information that is information regarding the proposed transaction parties in the proposed transaction; a similar transaction information acquisition step for acquiring similar transaction information that is transaction information from a plurality of transaction information that includes content information that is information regarding the content of individual past transactions, party information that is information regarding the parties in the transaction, and result information that is information regarding the result of the transaction, wherein content information has commonality with the content proposal information of the proposed transaction content information of the proposed transaction and personal information that includes information regarding the behavioral history of persons identified in the party information and commonality with personal information that includes information regarding the behavioral history of persons identified in the party proposal information of the proposed transaction; a transaction recommendation degree determination step for determining the degree of advisability of realizing the proposed transaction based on the result information included in the similar transaction information acquired by the similar transaction information acquisition step; and a determination result output step for outputting the determination result obtained by the transaction recommendation degree determination step.

[0011] In order to achieve the above object, an information providing program according to claim 5 is an information providing program that causes a computer to provide information on a determination result of a degree of recommendation for realizing a proposed transaction including information on predetermined transaction content and transaction parties, and causes the computer to generate a transaction transaction that includes transaction information including content information, which is information on the content of the transaction, party information, which is information on the transaction parties in the transaction, and result information, which is information on the result of the transaction, recorded in a distributed ledger on a distributed network corresponding to a transaction token, which is a non-fungible token that corresponds to a past transaction. function and the above transaction The parties and the above transaction Person transaction generation including person information with information about the person's behavioral history, which is recorded in a distributed ledger on a distributed network corresponding to a person token, which is a non-fungible token corresponding to a person who may be a party. function a proposed content information input function for inputting proposed content information, which is information regarding proposed transaction content in the proposed transaction; a proposed party information input function for inputting proposed party information, which is information regarding proposed transaction parties in the proposed transaction; a similar transaction information acquisition function for acquiring similar transaction information, from among a plurality of transaction information included in a plurality of transaction transactions stored in a plurality of the distributed ledgers, which is transaction information whose content information has commonality with the proposed content information of the proposed transaction and whose personal information, including information regarding the behavioral history of a person identified in the party information, has commonality with the personal information, including information regarding the behavioral history of a person identified in the proposed party information of the proposed transaction; a transaction recommendation degree determination function for determining the recommendation degree for realizing the proposed transaction based on result information included in the similar transaction information acquired by the similar transaction information acquisition function; and a determination result output function for outputting the determination result by the transaction recommendation degree determination function.

[0012] In addition, in order to achieve the above-mentioned object, the information provision program of claim 6 is characterized in that, in the above-mentioned invention, the person transaction generation function causes the computer to generate person information including commercial behavior information, which is information about the commercial behavior of the person, and non-commercial behavior information, which is information about the non-commercial behavior of the person, as information about the person's behavioral history. [Effects of the Invention]

[0013] The present invention has the effect of providing a technology for determining the degree of advisability of realizing a specific transaction proposal consisting of specific transaction content and transaction parties in general transactions, not limited to financial transactions such as loans. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a schematic diagram illustrating a configuration of an information providing system according to a first embodiment. [Figure 2] FIG. 10 is a schematic diagram illustrating a configuration of an information providing system according to a second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0015] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In the following embodiments, examples that are considered to be the most appropriate embodiments of the present invention will be described, and it goes without saying that the contents of the present invention should not be interpreted as being limited to the specific examples shown in the present embodiments. Of course, any configuration that achieves similar functions and effects, even if it is a configuration other than the specific configuration shown in the embodiments, is included in the technical scope of the present invention.

[0016] (Embodiment 1) First, an information providing system according to the first embodiment will be described. As shown in FIG. 1, the information providing system according to the first embodiment includes a transaction information generating unit 1 that generates transaction information that is information about past transactions, a personal information generating unit 2 that generates personal information that is information about individual persons who can be transaction parties, a transaction token generating unit 3 that generates transaction tokens that are non-fungible tokens corresponding to individual transactions, a personal token generating unit 4 that generates person tokens that are non-fungible tokens corresponding to individual persons, a transaction transaction generating unit 5 that generates transactions to be stored in blocks in a distributed ledger corresponding to the transaction tokens based on the transaction information generated by the transaction information generating unit 1, a person transaction generating unit 6 that generates person transactions to be stored in blocks in a distributed ledger corresponding to the person tokens based on the personal information generated by the personal information generating unit 2, and a transaction transaction / person transaction generating unit. the transaction recommendation level determination unit 13 determines the recommendation level of the proposed transaction based on the transaction information acquired by the similar transaction information acquisition unit 11, and outputs the recommendation level of the proposed transaction based on the transaction information acquired by the similar transaction information acquisition unit 11. The transaction recommendation level determination unit 13 determines the recommendation level of the proposed transaction based on the transaction information acquired by the similar transaction information acquisition unit 11, and outputs the recommendation level of the proposed transaction based on the transaction information acquired by the similar transaction information acquisition unit 11. The transaction recommendation level determination unit 13 determines the recommendation level of the proposed transaction based on the transaction information acquired by the similar transaction information acquisition unit 11, and outputs the judgment result of the transaction recommendation level determination unit 13.

[0017] The transaction information generation unit 1 generates transaction information, which is information about individual past transactions. Here, a "transaction" refers to so-called commercial transactions (e.g., buying and selling, gifts, supplying products, providing services, lending money, licensing, leasing, hiring employees, temporary staffing, etc.) as well as the establishment of specific relationships between individuals (e.g., hosting and inviting participants to events such as study groups, building friendships, dating, etc.). Specifically, the transaction information generation unit 1 includes a content information acquisition unit 15 that acquires content information, which is information about the content of individual past transactions; a party information acquisition unit 16 that acquires party information, which is information for identifying the parties to the transaction; a result information acquisition unit 17 that acquires result information, which is information about whether the transaction was successful and, if successful, the results of the transaction; and an information generation unit 18 that generates transaction information about each transaction based on the acquired content information, party information, and result information.

[0018] The content information acquisition unit 15 acquires content information, which is information about the content of past transactions. Specifically, the content information acquisition unit 15 has a function to acquire information, including information about the type of transaction (e.g., buying and selling, supplying a product, providing a service, licensing, leasing, loaning, etc.), information about the transaction object (e.g., software, a system, real estate, an automobile, jewelry, etc.), information about the transaction amount (which may be the specific transaction amount itself or numerical information determined depending on the transaction amount (e.g., numerical information rated on a five-point scale)), and information about the transaction period, such as the duration and delivery date of the transaction (which may be the specific number of days or numerical information determined depending on the number of days (e.g., numerical information rated on a five-point scale)). The content information acquisition unit 15 preferably acquires information from publicly available information, such as web pages on the Internet, or extracts necessary information from transaction information input via the proposed transaction information input unit 9, which will be described later.

[0019] The party information acquisition unit 16 acquires party information, which is information for identifying the parties to a transaction for which each piece of information is acquired by the content information acquisition unit 15. Specifically, the party information acquisition unit 16 preferably includes, as the parties to a transaction for which each piece of information is acquired by the content information acquisition unit 15, not only the transaction holder (contracting parties such as the seller and buyer), but also the actual decision-maker in the transaction (e.g., the representative, executive officer, or on-site staff in the case of a corporation) and the person performing the actual work (e.g., the person involved in the production of the target product in a product supply transaction, or the person actually providing the service when a service is provided). As "information for identifying the parties," it is desirable to acquire the name and My Number of a natural person, or the trade name and corporate number of a corporation, but this is not necessarily required. Nicknames, trade names, account names, etc. may also be used as long as they can be used for person matching in the similar transaction information acquisition unit 11 described below. The party information acquisition unit 16 preferably acquires information from public information such as web pages on the Internet, or extracts necessary information from personal information about the same person acquired via the target person information acquisition unit 10 described below. It is also preferable that the party information acquisition unit 16 acquires information regarding the roles of the parties in the transaction. For example, in the case of a sale or purchase transaction, whether the party was a seller or a buyer, or in the case of a production supply transaction, whether the party was an orderer or an order recipient, the party information acquisition unit 16 also preferably acquires, as party information, information regarding the roles in the transaction (decision maker, actual worker, service provider, inquiry contact, etc.).

[0020] The result information acquisition unit 17 is configured to acquire result information, which is information regarding the success or failure of a transaction for which each piece of information is acquired by the content information acquisition unit 15, and information regarding the outcome of the transaction if the transaction is concluded. Specifically, the result information acquisition unit 17 has a function to acquire information regarding whether the transaction for which each piece of information is acquired by the content information acquisition unit 15 is concluded, as well as information regarding the degree of success of the transaction if the transaction is concluded. Regarding the degree of success of a concluded transaction, the transaction may be evaluated as successful simply if it reaches the final stage (completion of delivery, expiration of the contract term, etc.) and as unsuccessful if the transaction is terminated midway due to mid-term cancellation, etc. However, more preferably, the result information acquisition unit 17 has a function to evaluate the degree of success according to the satisfaction of the transacting parties. The satisfaction of the transacting parties may be acquired from the transacting parties themselves, or the satisfaction level may be estimated according to the change in the number of transactions between the same parties after the transaction is concluded (for example, if the number of transactions increases, the satisfaction level for the transaction is high; if there is no change, the satisfaction level is medium; and if there is a decrease, the satisfaction level is low).

[0021] The information generation unit 18 generates transaction information including content information, which is information about the transaction content acquired by the content information acquisition unit 15, party information acquired by the party information acquisition unit 16, and result information acquired by the result information acquisition unit 17. The information generation unit 18 has the function of extracting information related to the same transaction from the information acquired by the content information acquisition unit 15, etc., correlating the information with each other, and generating single transaction information for each transaction. The transaction information generated by the information generation unit 18 is output to the transaction transaction generation unit 5, which will be described later. The transaction transaction generation unit 5 uses the transaction information as part of a transaction stored in a block in the distributed ledger corresponding to a token that corresponds to a person described in the party information included in each transaction information. Note that the format of the transaction information generated by the information generation unit 18 can be any format, but it is preferable to use a unified data format to facilitate comparison between transaction information. For example, rather than allowing free text for the content information, it is preferable to provide typical options for each item, such as transaction type, transaction object, and transaction amount (e.g., buying and selling in transaction type, supply of manufactured goods, software related to the transaction object, systems, etc.), and generate transaction information in a format that allows users to select the option that is most appropriate for each transaction (the same or most similar option). It is also preferable to provide typical options for information regarding the roles of the parties in the transaction (e.g., seller or buyer, client or contractor, decision maker, actual worker, service provider, inquiry contact), and generate transaction information in a format that allows users to select the option that is most appropriate for each role (the same or most similar option). It is also preferable to provide options for the outcome information, such as success or failure, or options based on the level of success according to the parties' satisfaction (e.g., high satisfaction, medium satisfaction, low satisfaction, or a five-point scale), and generate result information in a format that allows users to select the appropriate option.

[0022] The personal information generation unit 2 is for generating personal information, which is information about individual people who may be parties to a transaction (including not only contracting parties but also decision makers, actual workers, service personnel, etc.). Specifically, the personal information generation unit 2 includes a personal identification information acquisition unit 19 that acquires personal identification information, which is information for identifying the target person, an attribute information acquisition unit 20 that acquires attribute information, which is information about the attributes of the identified person, and a behavior history information acquisition unit 21 that acquires behavior history information, which is information about the behavior history of the identified person.

[0023] The personal identification information acquisition unit 19 is for acquiring personal identification information, which is information for identifying a person (which may be only a natural person, but preferably includes a corporation) who is the subject of the personal information generated by the personal information generation unit 2. Specifically, the personal identification information acquisition unit 19 has a function for acquiring, as personal identification information, the name and My Number of a natural person and the trade name and corporate number of a corporation. However, the personal identification information does not need to be limited to these, and may be a nickname, trade name, account name, etc., as long as it can be used for person matching in the similar transaction information acquisition unit 11 described later. As a mode of information acquisition by the personal identification information acquisition unit 19, it is preferable to acquire information from public information such as a webpage on the Internet, or to extract necessary information from personal information related to the same person input via the target personal information acquisition unit 10 described later.

[0024] The attribute information acquisition unit 20 is for acquiring attribute information, which is information relating to the attributes of the person identified by the person identification information acquisition unit 19. The attribute information acquired by the attribute information acquisition unit 20 may include any information specific to the person, but for example, in the case of a natural person, it preferably includes information such as date of birth, sex, nationality, educational background, and work history, and in the case of a corporation, it preferably includes information such as date of establishment, type of corporation, country of establishment, capital, officers, shareholders (employees), etc. As a mode of information acquisition by the attribute information acquisition unit 20, it is preferable to acquire information from public information such as a webpage on the Internet, as well as to extract necessary information from personal information relating to the same person input via the target person information acquisition unit 10, which will be described later.

[0025] The behavioral history information acquisition unit 21 is for acquiring behavioral history information, which is information related to the behavioral history of the person identified by the person identification information acquisition unit 19. Specifically, the behavioral history information acquisition unit 21 includes a commercial behavior information acquisition unit 22 that acquires behavioral information related to commercial behavior, a non-commercial behavior information acquisition unit 23 that acquires behavioral information related to non-commercial behavior, a behavior evaluation information acquisition unit 24 that acquires behavior evaluation information, which is information related to evaluations by people other than the target person, for each of the commercial and non-commercial behaviors, an evaluator information acquisition unit 25 that acquires evaluator information, which is information related to the credibility of people who evaluated each behavior, and an information generation unit 26 that generates behavioral history information based on the commercial and non-commercial behavior information, the behavior evaluation information, and the evaluator information.

[0026] The commercial behavior information acquisition unit 22 is for acquiring commercial behavior information, which is information regarding the commercial behavior of a person identified by the person identification information acquisition unit 19. Commercial behavior basically includes behavior related to paid activities (such as behavior related to business transactions or personal business transactions in daily life) that involve the transfer of financial value such as money (such as behavior related to business transactions or personal business transactions in daily life) (such as behavior leading up to the conclusion of a contract, the period from the start of negotiations to the conclusion of the contract, whether or not a discount was requested, the degree and frequency of the request, whether or not there was a delay in payment, whether or not there was a delay in delivery or provision of the transaction object, whether or not there was a complaint about the transaction object, and the content of the complaint, etc.), as well as behavior that does not itself constitute a paid activity but is objectively evaluated as being directed toward a paid activity (such as the content, number, and frequency of calls to potential customers in sales activities and advertising activities, the content, number, and frequency of advertising broadcasts, etc.). Note that "behavior" in commercial behavior information is a concept that includes not only physical movements of the limbs, etc., but also verbal statements and activities and behavior in virtual spaces such as the Internet. In addition, the commercial behavior information acquisition unit 22 preferably acquires the necessary information from images captured by surveillance cameras in the real world, text information such as letters and documents, testimony from the person himself or a third party, web pages on the Internet, video information and text information published on SNS (social networking services), etc.

[0027] The non-commercial behavior information acquisition unit 23 is for acquiring non-commercial behavior information, which is information regarding the non-commercial behavior of the person identified by the person identification information acquisition unit 19. Non-commercial behavior basically refers to behavior other than paid behavior and behavior other than behavior aimed at paid behavior, but more specifically, it refers to behavior that can be used as evaluation material for the person in a commercial transaction, such as reaction behavior when some kind of approach is made by another person (whether or not the person thanked the other person when receiving support from the other person, the content and politeness of the thank you, the content and politeness of the response when the other person objects, etc.), behavior when approaching others (whether or not the person provided support to someone in difficulty, the content and politeness of the support, the time it took to provide the support, etc.), and behavior when handling other people's property or public property (rudely pressing elevator buttons when using them, closing the door silently, kicking over signs or the like installed on the road, picking up trash on the side of the road and throwing it in a trash can, etc.). It should be noted that "behavior" in non-commercial behavior information is a concept that includes not only physical movements of the limbs, etc., but also verbal statements and activities and behaviors in virtual spaces such as the Internet. In addition, the non-commercial behavior information acquisition unit 23 preferably acquires commercial behavior information by extracting necessary information from video images captured by surveillance cameras or the like in the real world, text information such as letters and documents, testimony from the person himself or a third party, web pages on the Internet, video information and text information published on SNS (social networking services), etc.

[0028] The behavior evaluation information acquisition unit 24 is for acquiring behavior evaluation information, which is information regarding evaluations of individual behaviors in the commercial behavior information acquired by the commercial behavior information acquisition unit 22 and the non-commercial behavior information acquired by the non-commercial behavior information acquisition unit 23. Specifically, the behavior evaluation information acquisition unit 24 has a function of collecting comments and written comments made by third parties in the real world regarding the behavior of the target person, as well as evaluations expressed by third parties in virtual spaces such as the Internet (including not only specific comments and comments, but also numerical evaluations and the act of clicking the so-called "Like" button, etc.), and acquiring the collected evaluation contents and behavior evaluation information configured to associate the evaluation contents with the corresponding specific behaviors.

[0029] The evaluator information acquisition unit 25 is configured to acquire evaluator information, which is information regarding the credibility of the evaluator, a third party who made the evaluation, from the evaluation information acquired by the behavioral evaluation information acquisition unit 24. The evaluation information acquired by the evaluator information acquisition unit 25 may be information evaluating the credibility of the evaluator himself / herself based on the evaluator's past words and actions (e.g., the percentage of false statements made, etc.). However, more simply, it may be information evaluating the credibility of the evaluator based on the personal relationship between the target of the behavioral evaluation and the evaluator of the target person's behavior. For example, if there is no interest between the target person and the evaluator, the evaluator's credibility may be high because the possibility of the evaluator intentionally making a false evaluation is typically low. If there is a positive interest (a relationship that brings mutual benefit) between the target person and the evaluator, the evaluator's credibility may be low for positive evaluations because the evaluator tends to make overly positive evaluations. If there is a negative interest (a relationship that brings mutual conflict of interest) between the target person and the evaluator, the evaluator's credibility may be low for negative evaluations because the evaluator tends to make overly negative evaluations. In addition, as a method for the evaluator information acquisition unit 25 to acquire information regarding the evaluator's words, actions, and personal relationships with the person being evaluated, it is preferable to extract the necessary information from information regarding the evaluator's statements, comments, and evaluations of other actions in the real world or in a virtual space such as the Internet, as well as objective materials that show the personal relationships with the person being evaluated.

[0030] The information generation unit 26 generates behavior history information based on commercial and non-commercial behavior information, behavior evaluation information, and evaluator information. Specifically, the information generation unit 26 generates behavior history information in a format that associates behavior information (whether commercial or non-commercial) with behavior evaluation information for the behavior information and associates evaluator information related to the person who made the evaluation in the behavior evaluation information. Note that the behavior history information generated by the information generation unit 26 can be in any format, but it is preferable to use a unified data format to facilitate comparison between pieces of behavior history information. For example, rather than allowing free description of the part corresponding to the behavior information, it is preferable to present the behavior information in a format in which typical behavior content is provided as multiple options and the user selects the same or most similar option for the specific behavior content of each individual. Furthermore, in the case of a unified data format, the content of the options may not be specific individual behaviors (for example, "gave up your seat to an elderly person when using public transport," "guided a lost foreign tourist to his / her desired location," etc.), but may be abstract content that encompasses multiple behaviors with a common nature (for example, "provided support to an unrelated person," etc.). Similarly, for behavior evaluation information and evaluator information, it is preferable to use information that associates with the commercial / non-commercial behavior information being evaluated and a format that converts the information into a numerical value according to the level of the evaluation, rather than using specific descriptions of the evaluation content and credibility as is.

[0031] The transaction token generation unit 3 is used to generate transaction tokens, which are non-fungible tokens corresponding to individual transactions. "Non-fungible tokens" refer to so-called NFTs (Non-Fungible Tokens), that is, tokens that have unique data and therefore cannot be substituted for other tokens, and are issued based on, for example, ERC721, the standard for Ethereum (registered trademark).

[0032] The transaction token generated by the transaction token generation unit 3 represents a corresponding transaction, and basically, the transaction holder in the transaction (for example, the seller in a buying and selling transaction) holds the transaction token. A transaction transaction generated based on information including transaction information regarding the transaction corresponding to the transaction token is output and stored in a block constituting a specific distributed ledger corresponding to the transaction on the distributed network that forms the blockchain.

[0033] "Blockchain" is a technology that uses encryption technology to synchronize data between multiple computers that make up a distributed network. Specifically, each block is made up of a collection of information about tokens, such as agreed-upon transaction records, and information for connecting to other blocks (information from the previous block), and a blockchain is made up of multiple blocks linked together. Even if data is tampered with on one of the multiple computers, the correct data is selected by majority vote among the other computers, making it extremely difficult to destroy or tamper with data.

[0034] The correspondence between a transaction token and a transaction is such that a transaction token identifier is associated with transaction identification information. Furthermore, the transaction token may be generated by the transaction token generator 3 itself, or may be generated by an external system connected directly or indirectly to the transaction token generator 3 by issuing a predetermined command to the external system. Furthermore, the specific format of the transaction token is not limited to one conforming to the ERC721 standard of Ethereum (registered trademark), and any format may be used as long as the token is non-fungible and the information included in the transaction is stored in a block constituting a distributed ledger that corresponds to the transaction token on the distributed network that forms the blockchain.

[0035] The person token generation unit 4 is used to generate person tokens, which are non-fungible tokens that have a one-to-one correspondence with individual people. Similar to transaction tokens, person tokens are non-fungible tokens that have unique data and are therefore non-fungible with other tokens, and are issued, for example, based on ERC721, a standard proposed by Ethereum (registered trademark). Person transactions that include person information about people who correspond to person tokens are stored in blocks that make up the distributed ledger that corresponds to the person token.

[0036] The transaction generation unit 5 is for generating a transaction to be stored in a block in the distributed ledger that corresponds to the transaction token (i.e., recorded in the distributed ledger). Specifically, the transaction generation unit 5 has a function of generating information including, as the content of the transaction transaction, transaction information regarding the corresponding transaction generated by the transaction information generation unit 1 in addition to information regarding the setting and change of the holder name of the transaction token.

[0037] The person transaction generation unit 6 is for generating person transactions that are stored in a distributed ledger that corresponds to the person token (i.e., recorded in the distributed ledger). Specifically, the person transaction generation unit 6 has a function of generating information including person information about the corresponding person generated by the person information generation unit 2, in addition to information regarding the setting and change of the name of the person token holder, as the content of the person transaction.

[0038] The electronic signature generation unit 7 has the function of generating an electronic signature, which is data that proves that the creation and output of information contained in each transaction transaction and person transaction is in accordance with the intentions of the holder of each token. Specifically, the electronic signature generation unit 7 has the function of generating a hash value for each transaction transaction and person transaction and encrypting the hash value with a private key held by the holder of each transaction token and person token, thereby generating an electronic signature. Note that a "hash value" is a fixed-length value obtained by applying a specific calculation procedure to original data. Because this calculation procedure is irreversible, it is considered impossible to restore the original data from the hash value. Furthermore, a "private key" is a sequence of numbers used in the encryption process, and is configured to be decryptable using a corresponding "public key." Note that in the first embodiment, the transaction transaction generation unit 5, person transaction generation unit 6, and electronic signature generation unit 7 are configured to create each transaction and electronic signature themselves, but this is not limited to this. The transaction transaction generation unit 5, person transaction generation unit 6, and electronic signature generation unit 7 may simply have the function of instructing an external device to create transactions and electronic signatures.

[0039] The output unit 8 outputs the transaction generated by the transaction generation unit 5 and the electronic signature related to the transaction generated by the electronic signature generation unit 7 to the distributed network corresponding to the transaction token, and outputs the person transaction generated by the person transaction generation unit 6 and the electronic signature related to the person transaction generated by the electronic signature generation unit 7 to the distributed network corresponding to the person token. As a specific example of the output unit 8, in the first embodiment, the output unit 8 is configured to directly output each transaction and electronic signature, but it may also be configured to simply instruct other components (including those provided outside the information provision system according to the first embodiment) to output. In the first embodiment, the output unit 8 is directly or indirectly connected to the distributed network and is configured to be able to output predetermined data to the distributed network. The distributed network generates a hash value of each output transaction and compares it with the corresponding electronic signature (= hash value of the transaction) decrypted with a public key. If the two values ​​are different, it determines that the transaction is not authentic and rejects registration. If the two values ​​match, it determines that the transaction is authentic, and stores the information composed of the transaction in a block constituting the distributed ledger. The correspondence between each transaction and the distributed ledger can be established by, for example, linking the distributed ledger identification information with the transaction identification information, or more simply, the same information as the transaction identification information can be used as the distributed ledger identification information. The distributed ledger identification information is used when outputting information by the output unit 8, and is also used when similar transaction information acquisition unit 11, etc., acquires information from the distributed ledger.

[0040] The proposed transaction information input unit 9 is used to input information about the proposed transaction that is the target of the transaction recommendation assessment. Specifically, the proposed transaction information input unit 9 includes a proposed content information input unit 27 for inputting content information, which is information about the content of the proposed transaction that is the target of the assessment, and a proposed party information input unit 28 for inputting party information, which is information about the parties involved in the proposed transaction.

[0041] The proposed transaction information input unit 27 is used to input proposed transaction information, which is information about the proposed transaction details of the proposed transaction for which the realization advisability is to be determined. Specifically, the proposed transaction information input unit 27 has a function to input proposed transaction information, which is information about the proposed transaction details, including information about the type of the proposed transaction, information about the transaction object, information about the transaction amount, and information about the transaction period, similar to the content information acquired by the content information acquisition unit 15. Note that while this information may be input in a free-form format, in consideration of convenience in information processing, it is preferable to input the proposed transaction information in a format in which, similar to the portion corresponding to the content information in the transaction information generated by the transaction information generation unit 1, typical options (such as trade type, purchase / sale, supply of manufactured goods, software, systems, etc. related to the transaction object) are prepared for each item such as the transaction type, transaction object, transaction amount, and transaction period, and the appropriate option (the same or the most similar option) is selected for each transaction.

[0042] The party proposal information input unit 28 is used to input party proposal information, which is information about the transaction party proposals involved in the transaction proposal for which the realization recommendation level is to be determined. Specifically, similar to the party information acquired by the party information acquisition unit 16, the party proposal information input unit 28 has a function to input party proposal information, which is information for identifying the parties expected to be involved in the transaction proposal (such as names and trade names) and information about the roles of the parties in the transaction proposal (such as the transaction holders (seller / buyer or client / receiver), decision maker, actual worker, service provider, and inquiry desk). While this information may be input in a free-form format, for convenience of information processing, it is preferable to input party proposal information in a format in which, similar to the part corresponding to the party information in the transaction information generated by the transaction information generation unit 1, typological options are provided for information about the roles of the parties in the transaction (such as either the seller or the buyer, the client / receiver, decision maker, actual worker, service provider, and inquiry desk), and the appropriate option (the same or the most similar option) is selected for each role.

[0043] The target person information acquisition unit 10 is configured to acquire personal information (attribute information and behavioral history information) of a person identified in the party proposal information input via the party proposal information input unit 28. Specifically, the target person information acquisition unit 10 has a function of accessing a distributed ledger that corresponds to a person token that has a one-to-one correspondence with the party based on the party's identification information (such as name and trade name) included in the party proposal information, and acquiring the party's personal information from the information recorded in the distributed ledger. Each distributed ledger stores person transactions generated by the person transaction generation unit 6, and the person transactions contain the personal information of the corresponding party. Therefore, the target person information acquisition unit 10 accesses the person transactions stored in the distributed ledger that correspond to a specific party and acquires the person information included in the person transactions, thereby acquiring the person information about the parties to the proposed transaction whose realization advisability is to be determined. In addition, if a person token has not been generated among the parties and there is no distributed ledger storing personal information about the parties, the target personal information acquisition unit 10 may collect information equivalent to part or all of the attribute information and behavioral history information directly from the parties or from third parties or public information, and may acquire personal information of other people who have personal information that has commonality with the collected information (or information among the collected information that is objectively recognized as true) from the distributed ledger corresponding to the person token that corresponds to the other people, and use this information as if it were the personal information of the parties.

[0044] The similar transaction information acquisition unit 11 acquires transaction information on transactions that have commonality with the proposed transaction whose realization advisability is being determined, i.e., transaction information on individual past transactions, in which content information has commonality with the proposed content information in the proposed transaction, and personal information of persons identified in the party information in the transaction information has commonality with personal information of persons identified in the proposed party information in the proposed transaction. Specifically, the similar transaction information acquisition unit 11 includes a transaction information collection unit 29 that collects transaction information on existing transactions that have commonality with the proposed content information of the proposed transaction, a personal information collection unit 30 that collects personal information of parties in transactions that have commonality with the proposed transaction whose realization advisability is being determined, and a similar transaction extraction unit 31 that extracts existing transactions that are similar to the proposed content information on the transaction content of the proposed transaction whose realization advisability is being determined and the personal information of the parties to the proposed transaction, based on the transaction information collected by the transaction information collection unit 29 and the personal information collected by the personal information collection unit 30.

[0045] The transaction information collection unit 29 is configured to collect transaction information about existing transactions that have content information common to the proposed content information about the transaction content of the proposed transaction that is the target of the determination of the transaction recommendation level. Specifically, the transaction information collection unit 29 has a function of accessing a distributed ledger that corresponds to a transaction token that has a one-to-one correspondence with an existing transaction that has content information common to the proposed content information, based on the proposed content information of the proposed transaction input via the content information input unit 26, and acquiring transaction information about the transaction stored in the distributed ledger. Here, "commonality" is a concept that includes not only cases where all items constituting the proposed content information and content information are identical or similar, but also cases where some of the items constituting the proposed content information and content information are identical or similar. The "some items" are preferably selected by selecting items that are typically considered important (e.g., items related to the transaction type, etc.) and / or items that are subjectively important to a person requesting the determination of the transaction recommendation level (e.g., a person who has received the proposed transaction and is considering whether to accept the transaction, etc.). The criteria for determining whether or not there is commonality between the content proposal information and the content information can be set arbitrarily. However, for example, it is preferable to determine that the content proposal information and the content information have commonality when there are N or more identical items and M or more similar items. Note that the simplest specific information acquisition mode by the transaction information collection unit 29 may be to acquire transaction transactions recorded in individual distributed ledgers corresponding to all transaction tokens and then extract transaction information containing content information that has commonality with the content proposal information of the transaction proposal to be evaluated. A more preferable information acquisition mode may be to perform a process such as indexing the contents of the transaction information stored in the distributed ledger in advance, extract transaction information that has a predetermined commonality through a keyword search, etc., and then access the distributed ledger that stores the transaction information to perform information acquisition processing.

[0046] The personal information collection unit 30 is for collecting personal information of parties in transactions that have commonality with the proposed transaction whose realization advisability is being determined. Specifically, the personal information collection unit 30 has a function of referencing the party information included in the transaction information collected by the transaction information collection unit 29, acquiring information identifying the parties (such as names and trade names) from the party information, accessing a distributed ledger corresponding to a person token that has a one-to-one correspondence with the party, and acquiring the personal information included in the person transaction related to the party. The personal information collected by the personal information collection unit 30 is associated with the party information in the corresponding transaction information, and then output to the similar transaction extraction unit 31.

[0047] The similar transaction extraction unit 31 extracts, from among combinations of transaction information collected by the transaction information collection unit 29 and personal information collected by the personal information collection unit 30, combinations that share commonality with the proposed transaction content information of the proposed transaction and the personal information of the person identified in the proposed party information of the proposed transaction, the degree of advisability of which is to be determined. Here, "commonality" refers to cases where all items constituting the proposed transaction content information, content information, and personal information are identical or similar, as well as cases where some of the items constituting the proposed transaction content information, content information, and personal information are identical or similar. The "some items" are preferably selected, for example, from items that are typically considered important in personal information (e.g., personal information items related to the person who plays the role of the transaction holder among the parties) and / or items that are subjectively important to a person requesting a transaction advisability assessment (e.g., a person who has received a proposed transaction and is considering whether to accept the transaction) (e.g., "gave up one's seat to an elderly person when using public transportation," which is a part of the non-commercial behavior information in personal information). In the first embodiment, the transaction information collection unit 29 has already determined the commonality of content information. Therefore, the similar transaction extraction unit 31 selects, from the personal information extracted by the personal information collection unit 30, information that has commonality with the personal information of the parties in the proposed transaction to be determined and acquired by the target personal information acquisition unit 10, and extracts transactions consisting of combinations of the selected personal information and transaction information as similar transactions. The criteria for determining whether or not there is commonality between personal information can be set arbitrarily. However, for example, it is preferable to determine that the personal information of both parties has commonality when there are N or more identical items and M or more similar items. In determining the commonality of personal information, if the proposed party information and party information include information on roles in the transaction (transaction holder, decision maker, etc.) in addition to party identification information, the commonality of personal information between parties that correspond to each other in the role information is determined.

[0048] The similar transaction extraction unit 31 also has the function of extracting similar transactions from existing transactions that share commonality in content information and personal information with the proposed transaction whose advisability is being assessed, and generating commonality information, which is information on the strength of commonality between the similar transactions and the proposed transaction. Specifically, the similar transaction extraction unit 31 preferably assigns a predetermined numerical value, such as 1, to items determined to have identical content and a smaller numerical value, such as 0.5, to items determined to have similar content, and then derives the sum of the numerical values ​​for each item as the commonality information. Furthermore, items determined to be similar may be assigned different numerical values ​​depending on the degree of similarity. Furthermore, a predetermined coefficient may be assigned to each item depending on the importance of the item (e.g., a larger coefficient for an item with high importance and a smaller coefficient for an item with low importance). The similar transaction extraction unit 31 outputs information about similar transactions that have a certain degree of commonality with the content information and personal information of the transaction proposal that is the subject of the determination of the degree of recommendation for realization, specifically, transaction information, personal information, and commonality information, to the transaction recommendation degree determination unit 13.

[0049] The transaction recommendation level determination unit 13 determines the recommendation level of the proposed transaction to be evaluated based on the transaction information acquired by the similar transaction information acquisition unit 11. Specifically, the transaction recommendation level determination unit 13 has a function of determining the degree of recommendation of the proposed transaction to be evaluated based on the result information included in the transaction information among the information on similar transactions and the commonality information generated by the similar transaction extraction unit 31 for the similar transactions. In the simplest configuration, the transaction recommendation level determination unit 13 selects the similar transaction that has the highest commonality with the proposed transaction (e.g., the transaction with the highest commonality information value) and, based on the result information included in the transaction information of the selected similar transaction, determines that the more favorable the result information (e.g., high satisfaction), for example, the higher the numerical value of the result information, the higher the recommendation level for the transaction (i.e., it is desirable to proceed with the transaction). In a more complex configuration, the transaction recommendation level determination unit 13 preferably determines the recommendation level for the transaction based on the result information and commonality information for each similar transaction. For example, it is preferable to construct the result information and commonality information using numerical information, add the multiplied values ​​of the result information and commonality information for the same similar transaction for all similar transactions, and determine the degree of recommendation for implementation based on the value obtained by dividing the sum by the number of similar transactions.

[0050] The determination result output unit 14 is for outputting the determination result made by the transaction recommendation level determination unit 13. Specifically, the determination result output unit 14 has a function of providing the determination result to a predetermined person (for example, a person who has received a proposed transaction to be determined) after obtaining the determination result from the transaction recommendation level determination unit 13. Note that the party to whom the determination result is provided is not limited to a predetermined specific person, and the determination result may be provided to all parties to the transaction proposal, or may be provided only to the party who will be the transaction holder.

[0051] Next, advantages of the information providing system according to the first embodiment will be described. The information providing system according to the first embodiment has a function of extracting similar transaction information from transaction information relating to individual past transactions, which is transaction information whose content information has commonality with the proposed content information in the transaction proposal and whose personal information of a person identified in the party information in the transaction information has commonality with the personal information of a person identified in the proposed party information in the transaction proposal, and determining a realization recommendation level, which is a recommendation level for implementing the transaction proposal, by referring to outcome information (information corresponding to a case where a contract was not concluded and the contract was terminated before the end of the transaction, a case where a contract was concluded but the contract was terminated before the end of the transaction, a case where the transaction was successfully completed, etc.) in the similar transaction information that has commonality with the transaction proposal. By having such a function, the information providing system according to the first embodiment has the advantage of being able to determine the recommendation level of a transaction proposal based on the results of similar past transactions that have commonality with the transaction proposal and information relating to the transaction content and parties, and therefore enabling highly accurate recommendation level determination.

[0052] Furthermore, the information providing system according to the first embodiment is configured to determine the advisability of realizing a transaction proposal using not only outcome information on similar past transactions but also commonality information, which is information on the degree of commonality between the transaction proposal and similar past transactions. By adopting such a configuration, the advisability of realizing a transaction proposal can be determined by placing emphasis on outcome information on similar transactions with high commonality, while using outcome information on similar transactions with low commonality only for reference, which has the advantage of enabling more accurate determination of the advisability.

[0053] Furthermore, when selecting similar past transactions, by comparing not only commercial behavior information but also non-commercial behavior information as personal information with the proposed transaction, it is possible to extract similar transactions that have deeper commonalities in terms of personal characteristics, which has the advantage of enabling more accurate recommendation level determination.In addition, by selecting similar transactions while taking into consideration behavioral evaluation information from third parties for each behavior and evaluator information regarding the credibility of the third parties for the commercial behavior information and non-commercial behavior information, it is possible, for example, to extract behavior that has been highly evaluated by a highly credible third party, and then extract similar transactions in light of the commonalities in the extracted behavior, which has the advantage of enabling more accurate recommendation level determination.

[0054] (Embodiment 2) Next, an information providing system according to embodiment 2 will be described. In embodiment 2, components with the same names and symbols as those in embodiment 1 will have the same functions as those in embodiment 1 unless otherwise specified.

[0055] FIG. 2 is a schematic diagram showing the configuration of an information provision system according to a second embodiment. As shown in FIG. 2, in addition to the configuration of the first embodiment, the information provision system according to the second embodiment includes a similar transaction information acquisition unit 32 that, when collecting information on similar transactions, collects only transactions that include some of the same parties as the parties in the proposed transaction whose realization advisability is being determined. Specifically, the similar transaction information acquisition unit 32 includes a party designation unit 33 that designates, as parties in a similar transaction, some or all of the same parties as the parties in the proposed transaction whose realization advisability is being determined; a transaction information collection unit 34 that collects transaction information on existing transactions that include the designated parties as parties and have commonality with the proposed transaction; a personal information collection unit 35 that collects personal information on the parties included in the party information in the transaction information collected by the transaction information collection unit 34; and a similar transaction extraction unit 36 ​​that extracts similar transactions from combinations of the collected transaction information and personal information.

[0056] The party designation unit 33 is configured to specify, as a condition for extracting similar transactions, that transactions including the same parties as the specific parties in the proposed transaction whose realization advisability is being assessed be extracted. Specifically, the party designation unit 33 has a function of transmitting information about the specified specific parties to the transaction information collection unit 32, and the transaction information collection unit 34 has a function of extracting transaction information including the specific parties designated by the party designation unit 33 (if the proposed transaction information and party information include information about roles, transaction information in which the specific parties play the same or similar role as in the proposed transaction). The specific parties designated by the party designation unit 33 may be designated by a party requesting the assessment of the realization advisability (for example, when the person requesting the assessment is a party in the proposed transaction and designates themselves as the specific party), or may designate a party that is considered to be typologically important based on the content of the proposed transaction whose realization advisability is being assessed (for example, when the purchaser is "Japan").

[0057] Although the present invention has been described above in terms of the first and second embodiments, the technical scope of the present invention should not be construed as being limited to the specific configurations described in the embodiments. Various modifications and applications of the above embodiments are also within the technical scope of the present invention as long as they can realize the functions of the present invention. For example, personal information may consist only of behavioral history information and not include attribute information. Furthermore, the behavioral history information may include only commercial behavior information and non-commercial behavior information, rather than both. Furthermore, transaction information and personal information related to past transactions may be stored in a separate storage device rather than in a distributed ledger. [Industrial Applicability]

[0058] The present invention can be used as a technology for determining the degree of recommendation of a specific transaction proposal consisting of specific transaction content and transaction parties in general transactions, not limited to financial transactions such as loans. [Explanation of symbols]

[0059] 1. Transaction information generation unit 2 Person information generation section 3. Transaction Token Generation Unit 4 Person token generation section 5. Transaction Generation Unit 6 Person Transaction Generation Unit 7 Electronic signature generation section 8 Output section 9. Transaction proposal information input section 10 Target person information acquisition unit 11, 32 Similar Transaction Information Acquisition Unit 13. Transaction recommendation determination unit 14. Judgment result output section 15 Content information acquisition section 16 Party information acquisition department 17 Result information acquisition section 18 Information generation section 19 Person identification information acquisition department 20 Attribute information acquisition section 21 Behavioral history information acquisition unit 22 Commercial Behavior Information Acquisition Department 23 Non-commercial behavior information acquisition department 24 Behavioral evaluation information acquisition unit 25. Evaluator Information Acquisition Department 26 Information generation section 27 Content proposal information input section 28 Party proposal information input section 29, 34 Transaction Information Collection Department 30, 35 Biographical Information Collection Department 31, 36 Similar Transaction Extraction Unit 33 Party designation section

Claims

1. An information providing system for providing information on a determination result of a degree of advisability of realization of a proposed transaction including information on a predetermined transaction content and transaction parties, a content proposal information input means for inputting content proposal information, which is information relating to a proposed transaction content in the transaction proposal; a party proposal information input means for inputting party proposal information, which is information about the party proposal in the transaction proposal; a similar transaction information acquisition means for acquiring similar transaction information from a plurality of transaction information including content information, which is information about the content of each past transaction, party information, which is information about the parties in the transaction, and result information, which is information about the result of the transaction, wherein the content information has commonality with the content information of the proposed transaction, and the personal information, which includes information about the behavioral history of the person identified in the party information, has commonality with the personal information, which includes information about the behavioral history of the person identified in the proposed party information of the transaction; a transaction recommendation level determination means for determining a recommendation level for realizing the transaction plan based on result information included in the similar transaction information acquired by the similar transaction information acquisition means; a determination result output means for outputting a determination result by the transaction recommendation level determination means; An information providing system comprising:

2. The similar transaction information acquisition means generates commonality information, which is information regarding the strength of commonality between personal information and content information about a person identified in the party information included in the similar transaction information and personal information and content information about a person identified in the party proposal information about the transaction proposal; 2. The information providing system according to claim 1, wherein the transaction recommendation level determination means determines the degree of recommendation for realizing the transaction plan based on the result information and the commonality information included in the similar transaction information.

3. The information provision system described in claim 1 or 2, characterized in that the personal information includes behavioral evaluation information from a third party regarding the person's behavior and evaluator information which is information regarding the credibility of the evaluation by the third party, and the similar transaction information acquisition means makes a judgment based on the behavioral history as well as the behavioral evaluation information and the evaluator information when determining whether the personal information including information regarding the behavioral history of the person identified in the party information has commonality with the personal information including information regarding the behavioral history of the person identified in the proposed party information of the transaction proposal.

4. 1. An information providing method for providing information on a determination result of a degree of advisability for realizing a proposed transaction including information on a predetermined transaction content and transaction parties, comprising: a content proposal information input step of inputting content proposal information which is information regarding a proposed transaction content in the transaction proposal; a party proposal information input step of inputting party proposal information, which is information about the transaction party proposal in the transaction proposal; a similar transaction information acquisition step of acquiring similar transaction information from a plurality of transaction information including content information, which is information about the content of each past transaction, party information, which is information about the parties in the transaction, and result information, which is information about the result of the transaction, wherein content information has commonality with the content information of the proposed transaction, and personal information, which includes information about the behavioral history of the person identified in the party information, has commonality with personal information, which includes information about the behavioral history of the person identified in the proposed party information of the transaction; a transaction recommendation level determination step for determining a recommendation level for realizing the transaction plan based on result information included in the similar transaction information acquired by the similar transaction information acquisition step; a determination result output step of outputting a determination result obtained by the transaction recommendation level determination step; An information providing method comprising:

5. An information providing program that causes a computer to provide information regarding a determination result of a degree of advisability for realizing a proposed transaction, the determination result including information about predetermined transaction details and transaction parties, to the computer, a transaction transaction generation function that generates a transaction transaction, which is information including transaction information including content information, which is information about the content of the transaction, party information about the parties in the transaction, and result information, which is information about the result of the transaction, recorded in a distributed ledger on a distributed network corresponding to a transaction token, which is a non-fungible token that corresponds to a past transaction; A person transaction generation function including person information having information about the behavioral history of the person, which is recorded in a distributed ledger on a distributed network corresponding to a person token, which is a non-fungible token corresponding to the person who has become a party to the transaction and the person who may become a party to the transaction; a content proposal information input function for inputting content proposal information, which is information regarding the content proposal of the transaction in the transaction proposal; a party proposal information input function for inputting party proposal information, which is information about the transaction party proposal in the transaction proposal; a similar transaction information acquisition function that acquires similar transaction information from among a plurality of pieces of transaction information included in a plurality of the transaction transactions stored in a plurality of the distributed ledgers, the similar transaction information being transaction information in which content information has commonality with the content information of the proposed transaction and personal information including information on the behavioral history of a person identified in the party information has commonality with the personal information including information on the behavioral history of a person identified in the party information of the proposed transaction; a transaction recommendation level determination function that determines the recommendation level for realizing the transaction plan based on result information included in the similar transaction information acquired by the similar transaction information acquisition function; a determination result output function that outputs a determination result by the trade recommendation degree determination function; An information providing program characterized by causing the program to execute the above.

6. The information provision program of claim 5, characterized in that the person transaction generation function causes the computer to generate person information including commercial behavior information, which is information about the person's commercial behavior, and non-commercial behavior information, which is information about the person's non-commercial behavior, as information about the person's behavioral history.

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