Information and proposal system for business matching

Abstract

The present disclosure relates to an information proposal system for proposing information for business matching. The strength of relevance between items of inputted registration information is analyzed and digitized, and the result of analysis is used to compare a first user who searches for a matching partner and all other users. A second user who has registered registration information having strong relevance to the registration information registered by the first user is listed and used as first matching candidate information. Business information including at least information pertaining to the scale of a transaction when the first user matches the second user is estimated on the basis of the first matching candidate information, the analysis result, and past matching performance. Second matching candidate information selected from the first matching candidate information is displayed on the basis of the result of estimation, the numerical value of the analysis result is recalculated on the basis of the past matching performance, and second matching candidate information is selected on the basis of the result of recalculation.

Description

Technical Field

[0001] The present disclosure relates to an information proposal system for supporting business matching.

Background Art

[0002] As a system for supporting business matching, there has been proposed an apparatus and a program that present partner information based on data such as company information registered in the system and the action information of stakeholders of the company, when registering the management issues, strengths, requirements desired by the partner, etc. of one's own company.

[0003] For example, Patent Document 1 discloses an information providing system that selects a company to introduce to the company based on an action log regarding at least one of employees and managers within a website displayed on a communication terminal and company information associated with at least one of the employees and managers from whom the action log was obtained.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] In the information providing system disclosed in Patent Document 1, matching is performed by comparing the action logs of employees and managers, the company information associated with the employees and the managers, and a matching database acquired in the past, and only the matched companies are introduced. At the time of co-creation with a collaboration partner, the achievements and skills of unknown collaboration partners presented by recommendations of the matching system, etc. are unknown, and there is a problem that the probability of success of the matching is low.

[0006] This disclosure is made to address the aforementioned problems and aims to provide an information suggestion system that has a high probability of success in matching companies with challenges with companies that have solutions. [Means for solving the problem]

[0007] The information proposal system relating to this disclosure is an information proposal system that proposes information for business matching, comprising: an input unit in which multiple users input registration information; an information analysis unit that analyzes and quantifies the strength of the relationship between the input registration information; a matching candidate information extraction unit that uses the analysis results of the information analysis unit to compare a first user looking for a matching partner with all other users, lists second users who have registered registration information that is strongly related to the registration information registered by the first user, and uses this as first matching candidate information; and, based on the first matching candidate information, the analysis results of the information analysis unit, and past matching results, determines when the first user matches with the second user. Cost, compensation, and deadline (at least one of these) The system includes a business information estimation unit that estimates the business information to be included, an information display unit that displays second matching candidate information selected from the first matching candidate information based on the estimation results of the business information estimation unit, and a storage unit that stores the past matching results. The business information estimation unit recalculates the values ​​calculated by the information analysis unit based on the past matching results, and the second matching candidate information is selected based on the recalculation results of the business information estimation unit. [Effects of the Invention]

[0008] According to the information proposal system disclosed herein, the business information estimation unit recalculates a score based on past matching results for the first matching candidate information extracted by the matching candidate information extraction unit, thereby obtaining matching candidate information based on business information from the first matching candidate information. The first user can then consider potential partners by looking at the second matching candidate information, which lists the matching candidate information, thereby increasing the probability of successful matching. [Brief explanation of the drawing]

[0009] [Figure 1] This is a conceptual diagram illustrating an example of how the information suggestion system related to this disclosure can be used. [Figure 2] This is a functional block diagram showing the configuration of the information suggestion system in Embodiment 1. [Figure 3] This figure shows an example of past history stored in the past performance database. [Figure 4] This is a functional block diagram showing the configuration of the information suggestion system in Embodiment 2. [Figure 5] This is a functional block diagram showing the configuration of the information suggestion system in Embodiment 3. [Figure 6] This is a functional block diagram showing the configuration of the information suggestion system of Embodiment 4. [Figure 7] This is a functional block diagram showing the configuration of the information suggestion system in Embodiment 5. [Figure 8] This is a functional block diagram showing the configuration of the information suggestion system in Embodiment 6. [Figure 9] This is a functional block diagram showing the configuration of the information suggestion system in Embodiment 7. [Figure 10] This is a functional block diagram showing the configuration of the information suggestion system in Embodiment 8. [Figure 11] This figure shows the hardware configuration for realizing the information suggestion system of Embodiments 1 to 8. [Figure 12] This figure shows the hardware configuration for realizing the information suggestion system of Embodiments 1 to 8.

Embodiment for Implementing the Invention

[0010] <Usage Pattern of the Information Proposal System> FIG. 1 is a conceptual diagram showing an example of the usage pattern of the information proposal system 100 according to the present disclosure. In the example shown in FIG. 1, the information proposal system 100 is in a usage pattern used by the company 50, Company A 60, Company B 70, and Company C 80, and each company inputs registration information into the information proposal system 100.

[0011] The company 50 is a company looking for collaboration partners, and registers the problems to be solved by the company, technical information, company information, etc. in the information proposal system 100. The information proposal system 100 estimates or calculates business information such as costs, rewards, transaction scales, and delivery dates when collaborating on the problems registered by the company 50 from the registration information such as technical information and company information provided by Company A 60, Company B 70, and Company C 80, and the action history such as past achievements and past interactions with other companies, and presents a list of potential collaboration partners based on the business information to the company 50.

[0012] <Embodiment 1> FIG. 2 is a functional block diagram showing the configuration of the information proposal system 100 according to Embodiment 1. As shown in FIG. 2, registration information is input into the information proposal system 100 from an individual or a group (hereinafter referred to as a user) via the information input unit 1 which is an input interface.

[0013] The registration information includes problems, technical information, personal information, and organizational information. The input information is analyzed by the registration information analysis unit 2, and the analysis result in the registration information analysis unit 2 is input into the matching candidate information extraction unit 3 and the company - collaborating other company business information estimation unit 4.

[0014] The matching candidate information extraction unit 3 extracts the first matching candidate information from the input analysis result. The extracted first matching candidate information is input into the company - collaborating other company business information estimation unit 4.

[0015] The in-house and collaborative partner business information estimation unit 4 estimates business information based on the first matching candidate information input from the matching candidate information extraction unit 3, the analysis result in the registration information analysis unit 2, and the user's past performance. The business information includes information such as the scale of transactions when a match is established and the delivery date when a transaction occurs.

[0016] The business information estimated by the in-house and collaborative partner business information estimation unit 4 is input to the proposal information generation unit 5. The proposal information generation unit 5 selects the second matching candidate information from the first matching candidate information and inputs it to the proposal information display unit 6 as proposal information.

[0017] The proposal information display unit 6 displays the second matching candidate information input from the proposal information generation unit 5, for example, as a table, and inputs it to the past performance database 7.

[0018] The information proposal system 100 is configured to be able to exchange information with the in-house company 50, Company A 60, Company B 70, and Company C 80 via the network NW.

[0019] The registration information analysis unit 2 classifies the data input as a registration text or a registration form into categories such as "market scale", "technology category", and "customer segment" which classifies the target customers by trend, and calculates a score representing the distance of the information within each category. For the analysis of the registration information, natural language processing including, for example, morphological analysis can be used. From the "technology category", words such as "driving monitoring technology", "automatic driving technology", and "sterilization technology" are extracted by morphological analysis, and the relevance of each is analyzed.

[0020] For example, if a company's 50 technology categories are "autonomous driving technology," then "autonomous driving technology" and "driving monitoring technology" belong to the same mobile technology category and are similar in terms of words. Therefore, they are judged to be closely related technologies with a score of 1 to represent their distance. On the other hand, "autonomous driving technology" and "disinfection technology" have a weak technological relationship and are considered to be far apart, so they are given a score of 5. The registration information analysis unit 2 assigns a score to the registration information of all users. In this way, by using natural language processing including morphological analysis, the analysis of relationships becomes relatively easy. In this example, a score of 1 was used for strong technological relationships, but it is also possible to increase the score as the technological relationship becomes stronger.

[0021] Furthermore, the analysis process in the registration information analysis unit 2 can be performed using machine learning powered by artificial intelligence (AI).

[0022] The matching candidate information extraction unit 3 uses the score (analysis result) calculated by the registration information analysis unit 2 to compare the user looking for a matching partner (the first user) with all other users and extracts users with smaller scores. For example, if Company 50's technology category is "autonomous driving technology" and Company B's technology category is "driving monitoring technology," the score is 1, so Company B is extracted as a matching candidate company. On the other hand, if Company C's technology category is "disinfection technology," it is far removed from Company 50's technology category, resulting in a score of 5, and therefore it is not extracted as a matching candidate company.

[0023] The extracted potential matching companies are sorted by score and entered into the Company / Collaborating Company Business Information Estimation Unit 4 as the first matching candidate information.

[0024] In estimating business information in the Company / Collaborating Company Business Information Estimation Unit 4, for example, if the business information is of a user combination that has been matched in the past based on past matching results, the score included in the first matching candidate information is recalculated using weighting parameters.

[0025] Past matching results include information on combinations of users that have been matched in the past, specifically those that actually progressed to co-creation after matching, as well as information on the effects of the matching, such as sales revenue.

[0026] For example, if Company B (70), listed as a first matching candidate with a score of 1, is a matching partner included in a combination of users that have previously progressed to co-creation, then the score is recalculated as 0.1 by multiplying the score of 1 by a weight coefficient of, for example, 0.1.

[0027] On the other hand, even if Company A (60) listed in the first matching candidate information has a score of 1, if it is a matching partner included in a combination of users that have failed to co-create in the past, the score will be recalculated as 1 by multiplying it by a weight coefficient of, for example, 1.

[0028] In the above example, the weighting coefficient was set to 0.1 if co-creation was successful in the past and 1 if it was unsuccessful. However, it is also possible to multiply the score of the first matching candidate information by a weighting coefficient ranging from 0.1 to 1.0, depending on the effect of co-creation, for example, the amount of sales obtained through co-creation.

[0029] In the above, the weighting coefficient was set to 0.1 when co-creation progressed and to 1 when co-creation failed. However, the definition of the weighting coefficient can also be the reverse: the weighting coefficient when co-creation progressed is 1 and the weighting coefficient when co-creation failed is 0.1.

[0030] Furthermore, in addition to whether or not co-creation was successful, weighting coefficients can be set based on factors such as the scale of the transaction and the delivery time if a transaction were to occur through co-creation, and these coefficients can be multiplied by the score of the first matching candidate information.

[0031] In this way, by recalculating the scores of users listed in the first matching candidate information based on past matching results, it is possible to obtain matching candidate information based on business information, namely whether or not co-creation was successful, the scale of the transaction if a transaction were to occur through co-creation, and the delivery date if a transaction were to occur. This is equivalent to estimating the business information between your company and potential collaborators.

[0032] The proposal information generation unit 5 sorts the first matching candidate information based on the scores recalculated by the company / collaborating company business information estimation unit 4, and creates a second matching candidate list by listing users with scores below a predetermined threshold. The threshold can be determined by the user, or it can be set to average around the top several dozen companies.

[0033] The proposal information display unit 6 generates data to be displayed on the user's screen from the second matching candidate list created by the proposal information generation unit 5. Specifically, it displays a list of users in the order of their scores in the second matching candidate list, for example as a table, and inputs it into the past performance database 7.

[0034] Company 50, which is looking for a partner, considers potential partners by looking at the second matching candidate list, i.e., the list of potential partners, presented on the proposal information display unit 6.

[0035] Thus, in the information suggestion system 100, the business information estimation unit 4 recalculates a score based on past matching results for the first matching candidate information extracted by the matching candidate information extraction unit 3, thereby obtaining matching candidate information based on business information from the first matching candidate information. Users can then consider potential partners by looking at the second matching candidate information, which lists the aforementioned matching candidate information, thereby increasing the probability of successful matching.

[0036] Figure 3 is a table showing an example of past history stored in the past performance database 7. As shown in Figure 3, the past performance database 7 includes a past history number assigned to each past performance, and information contained in each past history, namely the number of times contact was made with the other party, the success or failure of co-creation, the business information distance, whether or not it was useful for business purposes, and sales revenue (in millions of yen).

[0037] In co-creation success / failure is assigned a score of 1, and success is assigned a score of 0. Business information distance is quantified on a scale of 0 to 1, depending on the strength of the business information relationship. For example, if the transaction sizes are similar and the relationship is strong, the business information distance will be 0.3, while if the transaction sizes are vastly different and the relationship is weak, the business information distance will be 0.8. Note that the relationship between the strength of the relationship and the numerical value can also be reversed.

[0038] <Variation> In the information proposal system 100 described above, the past performance database 7 was described as storing past matching results obtained by using the information proposal system 100. However, it is also possible to store not only past results but also known matching results, and to recalculate the score included in the first matching candidate information in the company / collaborating company business information estimation unit 4 based on the known matching results.

[0039] Publicly known matching information refers to information covered in news media such as newspapers and television, such as "Company XX and Company YY have entered into a capital alliance worth ZZ billion yen and are collaborating on the WW business."

[0040] By using matching information to identify combinations of companies already collaborating, data can be obtained to build models that show which combinations of companies with specific businesses and information are more likely to be matched. Based on these models, information on user combinations similar to those in past matching results, as well as information on the effects obtained through matching, can be obtained. By recalculating the scores included in the initial matching candidate information using this information, it is expected that the matching accuracy will be improved.

[0041] Publicly available matching information can be entered by a user who has obtained it from an information medium via the information input unit 1 and stored in the past performance database 7, or it can be entered by a system administrator who has obtained it from an information medium via the information input unit 1 and stored in the past performance database 7.

[0042] <Embodiment 2> Figure 4 is a functional block diagram showing the configuration of the information suggestion system 100A in Embodiment 2. As shown in Figure 4, the information suggestion system 100A includes a cost information estimation unit 41 instead of the company / collaborating company business information estimation unit 4 in the information suggestion system 100 shown in Figure 2.

[0043] The cost information estimation unit 41 estimates cost information, i.e., the costs and rewards for both parties if a match is made and a transaction is conducted, based on the first matching candidate information input from the matching candidate information extraction unit 3, the analysis results from the registration information analysis unit 2, and the user's past performance.

[0044] The cost information estimation unit 41 estimates cost information based on combinations of products and customers similar to the user's past performance, that is, customers when proceeding with the business after co-creation, for example, from the difference in customer size and products.

[0045] For example, if Company A has a history of conducting timber-related business with Municipality A, and Company B plans to conduct timber-related business with Municipality B in the future, the past timber costs and current timber costs can be compared, and the difference can be calculated as cost information. Furthermore, the cost information can not be limited to the cost of the product itself, but can also be calculated by comparing the customer size when Company A and Municipality A co-create with the customer size when Company B and Municipality B co-create, and calculating the compensation per product.

[0046] In the proposal information generation unit 5, the first matching candidate information extracted by the matching candidate information extraction unit 3 is sorted by the cost and reward calculated by the cost information estimation unit 41, and a second matching candidate list is created by listing users whose cost and reward are below a predetermined threshold. The threshold can be determined by the user, or it can be set so that on average it represents the top several dozen companies.

[0047] The proposal information display unit 6 generates data to be displayed on the user's screen from the second matching candidate list created by the proposal information generation unit 5. Specifically, it displays the user's list as a table, for example, in the order of the cost information in the second matching candidate list, and inputs it into the past performance database 7.

[0048] Company 50, which is looking for a partner, considers potential partners by looking at the second matching candidate list, i.e., the list of potential partners, presented on the proposal information display unit 6.

[0049] Thus, in the information proposal system 100A, the first matching candidate information extracted by the matching candidate information extraction unit 3 is sorted based on the cost information calculated by the cost information estimation unit 41, and a second matching candidate list is created by listing users with costs and rewards below the cost and reward thresholds. Users consider potential collaborators by looking at the second matching candidate list, thus increasing the probability of successful matching.

[0050] <Variation> In the information proposal system 100A described above, the past performance database 7 was described as storing past matching results obtained by using the information proposal system 100A. However, it is also possible to store not only past results but also known matching results, and the cost information estimation unit 41 can estimate cost information, that is, the costs and rewards of both parties when a match is made and a transaction is made, based on the known matching results.

[0051] Publicly known matching information refers to information covered in news media such as newspapers and television, such as "Company XX and Company YY have formed a capital alliance worth ZZ billion yen and are collaborating on the WW business, successfully doubling sales and halving costs."

[0052] By analyzing the combinations of companies collaborating through matching, data can be obtained to build models that identify which combinations of companies with specific business and business information are more likely to be matched. Based on these models, costs and rewards can be estimated from cost information when proceeding with a project after co-creation. This is expected to improve the accuracy of matching.

[0053] Publicly available matching information can be entered by a user who has obtained it from an information medium via the information input unit 1 and stored in the past performance database 7, or it can be entered by a system administrator who has obtained it from an information medium via the information input unit 1 and stored in the past performance database 7.

[0054] <Embodiment 3> Figure 5 is a functional block diagram showing the configuration of the information suggestion system 100B of Embodiment 3. As shown in Figure 5, in addition to the configuration of the information suggestion system 100 shown in Figure 2, the information suggestion system 100B includes a feedback information extraction unit 9 that extracts feedback information and registers it in the past performance database 7.

[0055] The feedback information extraction unit 9 is connected to the proposal information display unit 6. When Company 50, which is looking for a partner, looks at the second matching candidate list to consider potential partners, proceeds with discussions to co-create with the selected matching candidate, and inputs information such as the number of times contact was made with the partner, whether it was useful for business purposes, and whether the co-creation was successful or unsuccessful into the information proposal system 100B via the proposal information display unit 6, the company extracts this information as feedback information.

[0056] Therefore, the proposed information display unit 6 not only displays information but also functions as a user interface that receives feedback information from users.

[0057] Figure 3 shows an example of the past performance database 7, where feedback information is fed back as past performance, such as the number of times contact was made with the other party, the success or failure of co-creation, and whether or not it was useful for business purposes. This feedback information is added to the data of matching candidate companies when the company / collaborating company business information estimation unit 4 recalculates the score.

[0058] Thus, the information suggestion system 100B is equipped with a feedback information extraction unit 9 that extracts feedback information entered by the user and registers it in the past performance database 7. As a result, users can reflect their past matching results in the past performance database 7, enriching the past performance database 7 and increasing the probability of successful matching.

[0059] <Variation> The information suggestion system 100B shown in Figure 5 is configured by adding a feedback information extraction unit 9 to the information suggestion system 100 shown in Figure 2. However, the information suggestion system 100A shown in Figure 4 can also be configured by adding a feedback information extraction unit 9. In this case as well, the same effects as the information suggestion system 100B can be achieved.

[0060] <Embodiment 4> Figure 6 is a functional block diagram showing the configuration of the information suggestion system 100C of Embodiment 4. As shown in Figure 6, in addition to the configuration of the information suggestion system 100 shown in Figure 2, the information suggestion system 100C includes an action history information evaluation unit 10 connected to the suggestion information display unit 6, which evaluates the user and related information based on the user's action history information on the system, and an action history information extraction unit 11 that extracts action history information output from the action history information evaluation unit 10.

[0061] The user's system activity history information includes information such as past interactions with other organizations and individuals, filtering history, and editing history of registered information. In addition, it also includes information such as which screens of the suggested information display unit 6 the user viewed and how many times (screen viewing history), which information the user attempted to match, which information the user provided supportive feedback on, and how often the user accessed the system (access frequency).

[0062] Furthermore, related information includes user-registered information such as business information, and past performance linked to behavioral history.

[0063] The behavioral history information evaluation unit 10 links this behavioral history data with data indicating whether it led to some kind of result, such as matching and subsequent co-creation, to obtain correlations and trends. For example, if a user repeatedly views a specific screen X on the proposed information display unit 6 and attempts to match it with information Y displayed on screen X, and as a result leads to co-creation with company A, a correlation can be obtained indicating that screen X and information Y were linked to a match.

[0064] The behavioral history information extraction unit 11 extracts behavioral history information from which such correlations and trends have been obtained and registers it in the past performance database 7.

[0065] Therefore, the proposal information display unit 6 not only displays information but also functions as a user interface that acquires information such as which screens of the proposal information display unit 6 the user viewed and how many times, which information the user attempted to match, which information the user provided supportive feedback on, and how often the user accessed the system. In addition, the proposal information display unit 6 is also used to input feedback information such as which matching candidates were matched with, whether co-creation was successful or unsuccessful.

[0066] Thus, in the information suggestion system 100C, the behavioral history information evaluation unit 10 links data on the user's behavioral history on the system with data indicating whether it led to some kind of result such as matching and subsequent co-creation, in order to obtain correlations and trends. The behavioral history information extraction unit 11 then extracts the behavioral history information for which such correlations and trends have been obtained and registers it in the past performance database 7. As a result, the past performance database 7 is enriched, and the probability of successful matching can be increased.

[0067] <Variation> The information suggestion system 100C shown in Figure 6 is configured by adding an action history information evaluation unit 10 and an action history information extraction unit 11 to the information suggestion system 100 shown in Figure 2. However, the information suggestion system 100A shown in Figure 4 can be configured by adding an action history information evaluation unit 10 and an action history information extraction unit 11. In this case as well, the same effects as the information suggestion system 100C will be achieved.

[0068] <Embodiment 5> Figure 7 is a functional block diagram showing the configuration of the information suggestion system 100D of Embodiment 5. As shown in Figure 7, in addition to the configuration of the information suggestion system 100 shown in Figure 2, the information suggestion system 100D includes a business information filtering function provision unit 12 connected to the suggested information display unit 6, which allows the user to filter business information based on conditions entered by the user and search for matching partners.

[0069] The business information filtering function provider 12 provides a function to filter business information such as company size, industry, and cost when the user views the second list of matching candidates.

[0070] Business information is included in the data of candidate companies in the matching candidate list, and users can easily select a matching partner by filtering out the information they do not need.

[0071] In Figure 7, the business information filtering function provider 12 is connected to the proposal information display unit 6, which indicates that the business information filtering function is provided to the proposal information display unit 6. This allows the user to filter the business information so that only the necessary information is displayed when viewing the matching candidate list presented by the proposal information display unit 6.

[0072] If a large number of industries are displayed in the second matching candidate list presented in the proposed information display unit 6, for example, filtering the list to limit the industries to automobile and train manufacturing, and displaying only business information for companies with sales of XX billion yen or more and manufacturing costs per vehicle of YY% or less, makes it easier to select a matching partner.

[0073] Therefore, the proposed information display unit 6 not only displays information but also functions as a user interface that accepts operations from the user to filter business information.

[0074] Furthermore, the business information filtering function provider 12 can register the business information filtered by the user into the past performance database 7.

[0075] Thus, in the information proposal system 100D, the business information filtering function is provided to the proposal information display unit 6 by the business information filtering function provision unit 12. As a result, when a user views the second matching candidate list, they can display only the necessary business information, making it easier to select a matching partner.

[0076] <Variation> The information suggestion system 100D shown in Figure 7 is configured by adding a business information filtering function provision unit 12 to the information suggestion system 100 shown in Figure 2. However, the information suggestion system 100A shown in Figure 4 can also be configured by adding a business information filtering function provision unit 12. In this case as well, the same effects as the information suggestion system 100D will be achieved.

[0077] <Embodiment 6> Figure 8 is a functional block diagram showing the configuration of the information suggestion system 100E of Embodiment 6. As shown in Figure 8, in addition to the configuration of the information suggestion system 100B shown in Figure 5, the information suggestion system 100E includes a feedback information filtering function providing unit 13 connected to the suggestion information display unit 6, which allows the user to filter feedback information based on conditions entered by the user and search for matching targets.

[0078] The feedback information filtering function provider 13 provides a function to filter feedback information such as the number of times contact was made with the other party, whether it was useful for business purposes, and whether co-creation was successful or unsuccessful when the user is viewing the matching candidate list.

[0079] The feedback information is added to the data of potential matching companies when the company / collaborating company business information estimation unit 4 recalculates the score, and users can easily select matching partners by filtering out the information they do not need.

[0080] In Figure 8, the feedback information filtering function provider 13 is connected to the proposal information display unit 6, which indicates that the proposal information display unit 6 is equipped with a feedback information filtering function. This allows the user to filter the feedback information so that only the necessary information is displayed when viewing the matching candidate list presented by the proposal information display unit 6.

[0081] If a large number of potential matching companies are displayed in the second matching candidate list presented in the proposal information display unit 6, filtering the list to show only companies that have contacted the other party XX times or more and have successfully collaborated will make it easier to select a matching partner.

[0082] Therefore, the proposed information display unit 6 not only displays information but also functions as a user interface that accepts operations from the user to filter feedback information.

[0083] Furthermore, the feedback information filtering function provision unit 13 can register the feedback information filtered by the user into the past performance database 7 via the feedback information extraction unit 9.

[0084] Thus, in the information proposal system 100E, the feedback information filtering function is provided to the proposal information display unit 6 by the feedback information filtering function provision unit 13. As a result, when a user views the second matching candidate list, only the necessary information from the feedback information is displayed, making it easier to select a matching partner.

[0085] <Embodiment 7> Figure 9 is a functional block diagram showing the configuration of the information suggestion system 100F of Embodiment 7. As shown in Figure 9, in addition to the configuration of the information suggestion system 100C shown in Figure 6, the information suggestion system 100F includes an action history information filtering function providing unit 14 connected to the suggestion information display unit 6, which allows the user to filter action history information based on conditions entered by the user and search for matching destinations.

[0086] The behavioral history information filtering function provider 14 provides a function to filter the user's system behavioral history information, such as screen viewing history and access frequency, when the user views the matching candidate list.

[0087] The behavioral history information is added to the data of potential matching companies when the company / collaborating company business information estimation unit 4 recalculates the score, and users can easily select matching partners by filtering out the information they do not need.

[0088] In Figure 9, the behavioral history information filtering function provider 14 is connected to the suggestion information display unit 6, which indicates that the suggestion information display unit 6 is equipped with a behavioral history information filtering function. This allows the user to filter the behavioral history information so that only the necessary information is displayed when viewing the matching candidate list presented by the suggestion information display unit 6.

[0089] If a large number of potential matching companies are displayed in the second matching candidate list presented on the proposal information display unit 6, filtering the list to show only companies with XX or more screen views and YY or more access frequencies makes it easier to select a matching partner. This is because companies with fewer than XX screen views and fewer than YY access frequencies may not have been successful in co-creation.

[0090] Therefore, the proposed information display unit 6 not only displays information but also functions as a user interface that accepts operations from the user to filter behavioral history information.

[0091] Furthermore, the behavioral history information filtering function provision unit 14 can register the behavioral history information filtered by the user into the past performance database 7 via the behavioral history information extraction unit 11.

[0092] Thus, in the information suggestion system 100F, the behavioral history information filtering function is provided to the suggestion information display unit 6 by the behavioral history information filtering function provision unit 14. As a result, when a user views the second matching candidate list, only the necessary information from the behavioral history information is displayed, making it easier to select a matching partner.

[0093] <Embodiment 8> Figure 10 is a functional block diagram showing the configuration of the information suggestion system 100G of Embodiment 8. As shown in Figure 10, the information suggestion system 100G includes, in addition to the configuration of the information suggestion system 100 shown in Figure 2, a notification unit 15 connected to the suggestion information display unit 6 and a notification feedback information storage unit 16 connected to the notification unit 15.

[0094] The notification unit 15 notifies a second user, who is an individual or organization that has registered technical information, personal information, or organizational information such as Company A 60, Company B 70, or Company C 80, of the actions taken by the first user, who is an individual or organization that has registered a task to find a matching partner such as Company 50, and the business information of the first user. The notification feedback information storage unit 16 temporarily stores the second user's action history information in response to notifications from the notification unit 15 as notification feedback information, and then stores it in the past performance database 7.

[0095] In Figure 10, the notification unit 15 is connected to the proposal information display unit 6, which means that the proposal information display unit 6 can notify the second user of the actions taken by the first user and the first user's business information. As a result, the second user can know that they have been recognized as a matching partner who can solve the first user's problems using their own technical information, personal information, and organizational information.

[0096] Therefore, the proposal information display unit 6 not only displays information but also functions as a user interface that accepts the operation of the first user requesting to match with the second user when the first user has viewed the matching candidate list and determined that a match is possible with the second user. In addition, the proposal information display unit 6 also has the function of displaying to the second user the action from the first user, namely the desire to match, and the first user's business information. Here, the information proposal system 100~100G is a system that all registered users can access via the network NW, and when accessed via a computer or the like, the screen of the proposal information display unit 6 can be displayed on the display. In the information proposal system 100G, the second user is shown a notification from the notification unit 15.

[0097] Furthermore, the proposed information display unit 6 also functions as a user interface that receives notification feedback information, such as actions from a second user, in response to notifications from the notification unit 15.

[0098] The notification feedback information includes, as behavioral history information, information such as whether the second user responded to the notification from the notification unit 15 and the matching was successful, or whether the second user did not respond. The notification feedback information is temporarily stored in the notification feedback information storage unit 16 and then stored in the past performance database 7.

[0099] The notification feedback information stored in the past performance database 7 is used when considering how to notify the second user from the notification unit 15. For example, if the notification feedback information includes information such as a quick response to the notification to the second user, it can be determined that notification via the proposed information display unit 6 is effective. However, if the notification feedback information includes information such as a slow response or no response from the second user, it can be determined that notification via the proposed information display unit 6 was not effective, and this can be used as a basis for deciding whether to change to another notification method.

[0100] Thus, the information suggestion system 100G includes a notification unit 15 that notifies a second user of actions from the first user, and a notification feedback information storage unit 16 that stores the second user's behavioral history information as notification feedback information. The notification feedback information can then be used to consider how to notify the second user.

[0101] <Variation> The information suggestion system 100G shown in Figure 10 is configured to include a notification unit 15 and a notification feedback information storage unit 16 in addition to the information suggestion system 100 shown in Figure 2. However, the information suggestion system 100A shown in Figure 4 can be configured to include a notification unit 15 and a notification feedback information storage unit 16. In this case as well, the same effects as the information suggestion system 100G can be achieved.

[0102] <Hardware Configuration> Furthermore, each component of the information suggestion systems 100 to 100G of embodiments 1 to 8 described above can be configured using a computer, except for the information input unit 1 and the suggestion information display unit 6, and is realized by the computer executing a program. That is, for example, it is realized by the processing circuit 1000 shown in Figure 11. The processing circuit 1000 is fitted with a processor such as a CPU (Central Processing Unit) or a DSP (Digital Signal Processor), and the functions of each part are realized by executing a program stored in the memory device. The past performance database 7 and the notification feedback information storage unit 16 are realized by the memory device included in the computer.

[0103] Dedicated hardware may be applied to the processing circuit 1000. If the processing circuit 1000 is dedicated hardware, it may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or a combination thereof.

[0104] The information proposal system 100-100G can either have each component function implemented by a separate processing circuit, or all of those functions implemented together by a single processing circuit.

[0105] Figure 12 also shows the hardware configuration when the processing circuit 1000 is configured using a processor. In this case, the functions of each part of the information proposal system 100-100G, excluding the information input unit 1 and the proposed information display unit 6, are realized by a combination of software, firmware, or software and firmware. The software is written as a program and stored in memory 1002. The processor 1001, which functions as the processing circuit 1000, realizes the functions of each part by reading and executing the program stored in memory 1002 (storage device). In other words, this program can be said to cause the computer to execute the procedures and methods of operation for the components of the information proposal system 100-100G.

[0106] Here, memory 1002 can be, for example, non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM (Erasable Programmable Read Only Memory), EEPROM (Electrically Erasable Programmable Read Only Memory), HDD (Hard Disk Drive), magnetic disk, flexible disk, optical disk, compact disk, minidisc, DVD (Digital Versatile Disc) and its drive device, or any storage medium that may be used in the future.

[0107] The above describes a configuration in which the functions of each component of the information proposal system 100-100G, excluding the information input unit 1 and the proposed information display unit 6, are realized by either hardware or software. However, this is not the only configuration; some components of the information proposal system 100-100G can be realized by dedicated hardware, while other components can be realized by software. For example, some components can be realized by a processing circuit 1000 as dedicated hardware, while other components can be realized by the processing circuit 1000 as a processor 1001 reading and executing a program stored in memory 1002.

[0108] As described above, the information proposal system 100-100G can realize each of the above-mentioned functions through hardware, software, etc., or a combination thereof.

[0109] Although this disclosure has been described in detail, the above description is illustrative in all respects and does not limit this disclosure. It is understood that countless variations not illustrated may be conceivable without falling outside the scope of this disclosure.

[0110] Furthermore, within the scope of this disclosure, it is possible to freely combine each embodiment, or to modify or omit each embodiment as appropriate.

Claims

1. An information suggestion system that proposes information for business matching, An input section where multiple users enter registration information, An information analysis unit analyzes and quantifies the strength of the relationships between the input registered information, A matching candidate information extraction unit uses the analysis results of the information analysis unit to compare the first user searching for a matching partner with all other users, and lists second users who have registered registration information that is strongly related to the registration information registered by the first user, and uses this as the first matching candidate information. A business information estimation unit estimates business information including at least one of the cost, compensation, and delivery date when the first user is matched with the second user, based on the first matching candidate information, the analysis results of the information analysis unit, and past matching results. An information display unit that displays second matching candidate information selected from the first matching candidate information based on the estimation results of the business information estimation unit, It includes a storage unit for storing past matching results, The aforementioned business information estimation unit is An information suggestion system in which the numerical values ​​calculated by the information analysis unit are recalculated based on past matching results, and the second matching candidate information is selected based on the recalculation results in the business information estimation unit.

2. An information suggestion system that proposes information for business matching, An input section where multiple users enter registration information, An information analysis unit analyzes and quantifies the strength of the relationships between the input registered information, A matching candidate information extraction unit uses the analysis results of the information analysis unit to compare the first user searching for a matching partner with all other users, and lists second users who have registered registration information that is strongly related to the registration information registered by the first user, and uses this as the first matching candidate information. A cost information estimation unit estimates cost information, including the costs and rewards for both parties, when the first user is matched with the second user, based on past matching results. An information display unit that displays second matching candidate information selected from the first matching candidate information based on the estimation results of the cost information estimation unit, An information suggestion system comprising a storage unit for storing past matching results.

3. If a match is made between the first user and the second user, The information proposal system according to claim 1 or 2, further comprising a feedback information extraction unit that receives feedback information from the first user including at least the number of times contact has been made with the other party, and stores it in the storage unit as past matching results.

4. A behavioral history information evaluation unit that links behavioral history information on the system, which includes at least the frequency of the first user accessing the information display unit, with the results of matching the first user and the second user to obtain correlations and trends, The information proposal system according to claim 1 or claim 2, further comprising: an action history information extraction unit that extracts the action history information and stores it in the storage unit as past matching results.

5. The information proposal system according to claim 1, further comprising a business information filtering function providing unit that provides a filtering function for filtering out the business information that the first user does not need from the second matching candidate information displayed on the information display unit.

6. The information proposal system according to claim 3, further comprising a feedback information filtering function providing unit that provides a filtering function for filtering out feedback information that is not needed from the second matching candidate information displayed on the information display unit by the first user.

7. The information proposal system according to claim 4, further comprising an action history information filtering function providing unit that provides a filtering function for filtering out the action history information that the first user does not need from the second matching candidate information displayed on the information display unit.

8. The information suggestion system according to claim 1, further comprising a notification unit that notifies the second user of at least the action from the first user when the first user selects the second user as a matching partner.

9. The information suggestion system according to claim 8, further comprising a notification feedback information storage unit that stores the second user's system activity history information after receiving the notification from the notification unit into a past performance database.

10. The aforementioned business information estimation unit is The information suggestion system according to claim 1, which estimates the aforementioned business information using publicly available matching information, which is information resulting from actual collaboration.

11. The cost information estimation unit, The information proposal system according to claim 2, which estimates the cost information using publicly available matching information, which is information obtained from actual collaborations.

12. The aforementioned information analysis unit, The registered information is morphologically analyzed and divided into multiple words, and the numerical value is assigned to the combination of words based on the strength of the relationship between them. The matching candidate information extraction unit, The information suggestion system according to claim 1, wherein if there is a combination of words to which the numerical value has been assigned based on the registration information registered by the first user and the registration information registered by the second user, the second user is listed in order of the magnitude of the assigned numerical value to form the first matching candidate information.

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