Information suggestion system and information suggestion method

Abstract

Information is provided to the user that facilitates matching of the demand to the solution. An information recommendation system is provided with: an analysis unit for generating a combination of input information and demand information or solution information, and analyzing the degree of matching between the input information and the demand information or solution information; the suggestion part is used for suggesting at least one combination of the demand information and the solution information according to the matching degree; and an additional information requesting unit that, when an additional information request has been input, requests additional information that is information that has been added in association with the input information.

Description

TECHNICAL FIELD

[0001] The technology disclosed in the present application relates to an information suggestion technology. BACKGROUND

[0002] In recent years, it has become difficult for a single company to implement alone in the process from the formulation of a solution or plan to commercialization.

[0003] On the other hand, even if one has an excellent technology or idea, it is often buried because a suitable object cannot be found, and thus a matching system for connecting technologies or ideas is desired (see Patent Literature 1, for example).

[0004] Patent Literature 1: International Publication No. 2019 / 013344 SUMMARY

[0005] Problem to be Solved by the Invention

[0006] Even in a case where a demand (issue) and a solution (solution means) match, if certain information or information of both parties is insufficient, it is sometimes difficult to smoothly proceed to commercialization.

[0007] The technology disclosed in the present application is a technology for providing information that promotes matching of a demand and a solution, in view of the problems as described above.

[0008] Solution to Problem

[0009] An information suggestion system as a first mode of the technology disclosed in the present application is an information providing system that provides information on a combination of demand information and at least one solution information corresponding to the demand information, and includes: an information input unit into which at least one of the demand information and the solution information is input as input information; an analysis unit that generates the combination of the input information and the demand information or the solution information, and analyzes a matching degree of the input information and the demand information or the solution information; a suggestion unit that suggests at least one of the combinations of the demand information and the solution information in accordance with the matching degree; and an additional information request unit that requests additional information that is information added in association with the input information, in a case where an additional information request is input.

[0010] Effects of the Invention

[0011] According to at least the first mode of the technology disclosed in the present application, by requesting additional information, appropriate matching of demand information and solution information can be promoted.

[0012] Furthermore, objects, features, aspects and advantages of the technologies disclosed in this specification will become more apparent from the following detailed description and the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0013] Figure 1 is a diagram conceptually showing an example of the structure of the information recommendation system relating to the embodiments.

[0014] Figure 2 is a diagram showing an example of the demand information recorded in the demand information database.

[0015] Figure 3 is a diagram showing an example of the solution information recorded in the solution information database.

[0016] Figure 4 is a diagram showing an example of the solution information displayed in the demand-side information recommendation section and the information associated therewith.

[0017] Figure 5 is a diagram showing an example of the demand information displayed in the solution-side information recommendation section and the information associated therewith.

[0018] Figure 6 is a diagram conceptually showing an example of the structure of the information recommendation system relating to the embodiments.

[0019] Figure 7 is a diagram schematically illustrating the hardware structure in the case where the information recommendation system exemplified in Figure 1 , Figure 6 is a diagram schematically illustrating the hardware structure in the case where the information recommendation system exemplified in

[0020] Figure 8 is a diagram schematically illustrating the hardware structure in the case where the information recommendation system exemplified in Figure 1 , Figure 6 is a diagram schematically illustrating the hardware structure in the case where the information recommendation system exemplified in DETAILED DESCRIPTION

[0021] Hereinafter, the embodiments will be described with reference to the drawings. In the following embodiments, detailed features and the like are also shown for the purpose of explanation of the technologies, but they are examples, and not all of them are necessary features in order to implement the embodiments.

[0022] Further, the diagrams are schematically shown, and omission or simplification of the structure and the like is appropriately implemented in the diagrams for the purpose of explanation. Further, the mutual relationship of the size and the position of the structures and the like shown in different diagrams is not necessarily accurately recorded, and can be appropriately changed. Further, in the diagrams other than the sectional diagrams, sometimes, hatching is added for the purpose of facilitating understanding of the contents of the embodiments.

[0023] Furthermore, in the following descriptions, the same structural elements are illustrated using the same symbols, and their names and functions are also the same. Therefore, detailed descriptions of them are sometimes omitted to avoid repetition.

[0024] Furthermore, in the descriptions contained in this application, the use of terms such as "possessing," "including," or "having" a certain structural element does not, unless otherwise specified, constitute an exclusive expression excluding the existence of other structural elements.

[0025] Furthermore, even when ordinal numbers such as "first" or "second" are used in the description described in this application, these terms are used as appropriate to facilitate understanding of the implementation method, and the implementation method is not limited to the order that may be generated by these ordinal numbers.

[0026] <First Implementation Method>

[0027] The following describes the information suggestion system and information suggestion method related to this embodiment.

[0028] <On the structure of information recommendation systems>

[0029] Figure 1 This is a diagram that conceptually represents an example of the structure of an information suggestion system 10 related to this embodiment. The information suggestion system 10 related to this embodiment provides information about a combination of demand information and at least one solution (seed) information corresponding to the demand information.

[0030] like Figure 1 As exemplified in the example, the information suggestion system 10 includes an information input unit 12, a demand information database 14, a solution information database 16, a parsing unit 18, a demand information construction unit 20, a solution information construction unit 22, a demand-side information suggestion unit 24, a solution-side information suggestion unit 26, an additional information need determination unit 28, an additional information request unit 30, an additional information acceptance unit 32, and a matching database 34.

[0031] Information input unit 12 accepts information input from external sources (users). Information input unit 12 receives information such as user-provided requirements (problems) (requirement information), solutions (solutions) (solution information), or requests for additional information from users. Requirement information, solution information, or both, used for matching (described later), are input into information input unit 12. Information not input is retrieved from requirement information database 14 or solution information database 16.

[0032] The demand information database 14 is a database that accumulates and records demand information provided from users. In the demand information database 14, demand information input to the additional information receiving section 32 as additional information is also recorded.

[0033] The solution information database 16 is a database that accumulates and records solution information provided from users. In the solution information database 16, solution information input to the additional information receiving section 32 as additional information is also recorded.

[0034] The analysis section 18 generates combinations of demand information and solution information. Here, the combinations of demand information and solution information are not limited to combinations of one demand information and one solution information, and may, for example, be combinations of one demand information and a plurality of solution information. Further, the analysis section 18 analyzes the matching degree (degree of fitness, similarity) of demand information and solution information in the above combinations.

[0035] Specifically, the analysis section 18 performs data mining processing to analyze the matching degree (degree of fitness, similarity) of demand information and solution information. As the data mining processing, there are, for example, association analysis, cluster analysis, and the like. In the data mining processing, a neural network can be used. In particular, if a recurrent neural network (RNN) is used, variable-length data such as article data can be processed. In addition, Long Short-Term Memory (LSTM) or the like can also be applied. Furthermore, the analysis section 18 can perform analysis of articles in various languages (for example, English, Chinese, Korean, and the like) in addition to Japanese articles.

[0036] Further, the analysis section 18 calculates the matching degree of all combinations of demand information and solution information as a similarity score, and rearranges the combinations of demand information and solution information in order from high to low in the similarity score. Furthermore, the analysis section 18 can change the weight coefficient at the time of calculating the similarity score based on attribute information (credit information or the like) or past performance of the user who is the provider of the demand information (or the solution information). In addition, the analysis section 18 can adjust the similarity score based on the positioning of the demand information or the solution information in the market. For example, if it is solution information that is circulating in the market, the similarity score is increased, or if it is solution information that can be monopolized in the market, the similarity score is increased, and the like.

[0037] The requirement information construction unit 20 records the requirement information that forms the above-described combination in association with the paired solution information. In addition, the requirement information construction unit 20 records various information (paired solution information, information related to the user who provided the solution information, etc.) used to make suggestions to users who have entered requirements (requirement side) in association with the solution information that forms the above-described combination.

[0038] The solution information construction unit 22 records the solution information that forms the above combination in association with the paired requirement information. In addition, the solution information construction unit 22 records various information (paired requirement information, information related to the user who provided the requirement information, etc.) used to suggest to users (solution side) who have entered the solution in association with the requirement information that forms the above combination.

[0039] The demand-side information suggestion unit 24 displays and suggests solution information and related information that form the above combination of information (information sought by the demand side) constructed by the demand information construction unit 20 for the demand side.

[0040] However, the demand-side information suggestion unit 24 can also display the demand information along with the input demand information. That is, the demand-side information suggestion unit 24 can also suggest demand information similar to the demand information used as input information to the demand side, and refer to the matching database 34 to present to the user what kind of matching (what kind of combination) was formed with similar demand in the past. In this way, the options for matching solution information can be presented to the user from different perspectives.

[0041] The solution-side information suggestion unit 26 displays and suggests to the solution side the required information and related information that form the above combination of information (information sought by the solution side) constructed by the solution information construction unit 22 for the solution side.

[0042] However, the solution-side information suggestion unit 26 can also display the solution information along with the solution information. That is, the solution-side information suggestion unit 26 can also suggest solution information similar to the solution information used as input information to the solution side, and refer to the matching database 34 to present to the user what kind of matching (what kind of combination) was formed with similar solutions in the past. In this way, the options for matching requirement information can be presented to the user from different perspectives.

[0043] The supplementary information requirement determination unit 28 determines whether supplementary information is needed based on the requirement information itself recorded in the requirement information database 14, the solution information itself recorded in the solution information database 16, or a combination of requirement information and solution information. Here, supplementary information refers to detailed information related to the requirement information, or information about the technology itself related to the solution information, etc.

[0044] Specifically, the supplementary information need determination unit 28 calculates the information content (number of characters or number of information types, etc.) of the input information (requirement information or solution information) input to the information input unit 12, or calculates the information content (including the similarity score) of the combination of requirement information and solution information. If at least one of these information contents is below a predetermined threshold, it is determined that supplementary information is needed. Furthermore, if it is determined that supplementary information is needed, the supplementary information need determination unit 28 generates a supplementary information request and outputs it to the supplementary information request unit 30. In addition, the information content of the combination of requirement information and solution information is obtained by referring to the requirement information construction unit 20 or the solution information construction unit 22.

[0045] When an additional information request is entered from the additional information need determination unit 28, or when an additional information request is entered from the user via the information input unit 12, the additional information request unit 30 will display the additional information in the demand-side information suggestion unit 24 or the solution-side information suggestion unit 26 (e.g., using a dialog-style UI).

[0046] When the additional information request is for demand information, the additional information request unit 30 displays the additional information request in the demand-side information suggestion unit 24 and requests the additional information from the demand side. Conversely, when the additional information request is for solution information, the additional information request unit 30 displays the additional information request in the solution-side information suggestion unit 26 and requests the additional information from the solution side.

[0047] The Additional Information Receiving Unit 32 receives additional information input from the demand side or the solution side based on an additional information request. Furthermore, the Additional Information Receiving Unit 32 reflects the input additional information in the demand information database 14 or the solution information database 16. The reflected demand information or solution information can be used in subsequent matching processes.

[0048] When the matching database 34 finds a match between the required information and the solution information that forms a combination, it records the combination. The matching database 34 records combinations that match between the combinations displayed in the required information suggestion unit 24 and the combination displayed in the solution information suggestion unit 26. If additional information is attached to the combination (if the additional information is received by the additional information receiving unit 32), the additional information is also recorded in association with the combination.

[0049] Whether the matching of the demand information and solution information that form a combination is valid also takes into account the degree of matching (suitability) between the demand information and solution information, which is determined by the user.

[0050] Figure 2 This is a diagram showing an example of the demand information recorded in the demand information database 14.

[0051] like Figure 2 As in the example, the requirements information includes, for example, "wanting to improve the performance of semiconductor manufacturing equipment" or "a customer requests the development of technology A, but lacks knowledge about B and is therefore looking for experts," which are the user's issues, difficulties, desires, and information on the experts they are looking for.

[0052] Figure 3 This is a diagram showing an example of solution information recorded in the solution information database 16.

[0053] like Figure 3 As exemplified in the example, the solution information includes, for example, technologies such as "components that improve the lifespan of cleaning water", "heat exchange technology for chemical solutions", "development of technology G in the development of component E of product D for product C to meet the required specifications F", know-how, product-related information, service-related information, and past examples.

[0054] Figure 4 This is a diagram showing an example of the solution information and related information displayed in the demand-side information suggestion section 24.

[0055] like Figure 4 As illustrated in the example, in the demand-side information suggestion unit 24, solution information is displayed, for example, in descending order of matching degree (in the demand information construction unit 20, the order of matching degree is rearranged and recorded). By displaying solution information in descending order of matching degree with demand information, users can efficiently select solution information from the displayed solution information that results in a match.

[0056] In addition, Figure 4In the solution information, the information is displayed in descending order of matching degree, but the display order and the number of solutions displayed are not limited to this. Figure 4 As shown in the image. Additionally, information on solutions with low matching rates can be viewed by scrolling down the screen. Furthermore, information associated with each solution (information about the solution provider or proven effectiveness of the solution information) can be displayed either by selecting the solution information or near the corresponding solution information.

[0057] Figure 5 This is a diagram showing an example of the requirement information and related information displayed in the solution-side information suggestion section 26.

[0058] like Figure 5 As illustrated in the example, in the solution-side information suggestion unit 26, requirement information is displayed, for example, in descending order of matching degree (in the solution information construction unit 22, the matching degree order is rearranged and recorded). By displaying requirement information in descending order of matching degree with solution information, users can efficiently select requirement information from the displayed requirement information that results in a match.

[0059] In addition, Figure 5 In the text, demand information is displayed in descending order of matching degree, but the display order and number of items are not limited to this. Figure 5 As shown in the image. Additionally, for demand information with a low matching degree, users can also view it by scrolling down the screen. Furthermore, information associated with each demand (information related to the provider of the demand information or the matching performance of the demand information, etc.) can be displayed either by selecting the demand information or near the corresponding demand information.

[0060] In this way, by requesting additional information through the information suggestion system 10 related to this embodiment, it is possible to promote the appropriate matching of demand information and solution information.

[0061] <Second Implementation Method>

[0062] This section describes the information suggestion system and method related to this embodiment. Furthermore, in the following description, structural elements identical to those described in the above-described embodiments are illustrated using the same symbols, and their detailed descriptions are appropriately omitted.

[0063] <On the structure of information recommendation systems>

[0064] Figure 6 This is a diagram that conceptually represents an example of the structure of an information suggestion system 10A related to this embodiment. For example... Figure 6As illustrated in the example, the information suggestion system 10A includes an information input unit 12, a demand information database 14, a solution information database 16, a parsing unit 18, a demand information construction unit 20, a solution information construction unit 22, a demand-side information suggestion unit 24, a solution-side information suggestion unit 26, an additional information need determination unit 28, an additional information request unit 30, an additional information acceptance unit 32, a matching database 34, and a feedback unit 36.

[0065] Feedback Unit 36 ​​is a functional unit used for information exchange (chat, etc.) between providers of demand information (including supplementary information) and providers of solution information (including supplementary information).

[0066] The information exchanged via feedback unit 36 ​​is reflected as feedback information in demand information database 14 and solution information database 16. Furthermore, it is considered in the weighting coefficients used by parsing unit 18 to calculate similarity scores, in demand information construction unit 20, and in solution information construction unit 22. Because the information exchanged via feedback unit 36 ​​is reflected in demand information database 14 and solution information database 16 and is considered during matching, matching accuracy can be improved.

[0067] <Hardware Structure of the Information Recommendation System>

[0068] Figure 7 and Figure 8 This is a general example of practical application. Figure 1 , Figure 6 The example information suggests a diagram of the hardware architecture for the system.

[0069] also, Figure 7 and Figure 8 The hardware structures illustrated in the examples sometimes differ from those in terms of quantity, etc. Figure 1 , Figure 6 The structural matching shown in the example is due to Figure 1 , Figure 6 The structures shown in the examples represent conceptual units.

[0070] Therefore, at least the following scenarios can be considered: Figure 1 , Figure 6 The structure illustrated in the example consists of Figure 7 and Figure 8 The examples illustrate the configuration of multiple hardware structures; Figure 1 , Figure 6 An example of a structure and Figure 7 and Figure 8 The example illustrates a portion of the hardware structure; and Figure 1 , Figure 6 The multiple structures illustrated are equipped withFigure 7 and Figure 8 The example shown is a hardware structure.

[0071] exist Figure 7 In, as a means of implementation Figure 1 , Figure 6 The hardware structure includes a demand information database 14, a solution information database 16, a parsing unit 18, a demand information construction unit 20, a solution information construction unit 22, a demand-side information suggestion unit 24, a solution-side information suggestion unit 26, an additional information need determination unit 28, an additional information request unit 30, an additional information acceptance unit 32, and a matching database 34. It shows a processing circuit 1102A for performing calculations, a storage device 1103 capable of storing information, an input device 1104A capable of inputting information such as a mouse, keyboard, touch panel, or various switches, and an output device 1105A capable of outputting information such as a display, liquid crystal display device, or lamp (including cases where it is shared with the input device 1104A). This structure is the same in any of the above embodiments.

[0072] exist Figure 8 In, as a means of implementation Figure 1 , Figure 6 The hardware structure includes a demand information database 14, a solution information database 16, a parsing unit 18, a demand information construction unit 20, a solution information construction unit 22, a demand-side information suggestion unit 24, a solution-side information suggestion unit 26, an additional information need determination unit 28, an additional information request unit 30, an additional information acceptance unit 32, and a matching database 34. It shows a processing circuit 1102B for performing calculations, an input device 1104B capable of inputting information such as a mouse, keyboard, touch panel, or various switches, and an output device 1105B capable of outputting information such as a display, liquid crystal display device, or lamp (including cases shared with the input device 1104B). This structure is the same in any of the above embodiments.

[0073] The demand information database 14, the solution information database 16, and the matching database 34 are implemented through storage device 1103 or other storage devices (not shown here).

[0074] Storage device 1103 may be, for example, a volatile or non-volatile semiconductor memory such as a hard disk drive (HDD), random access memory (RAM), read-only memory (ROM), flash memory, erasable programmable read-only memory (EPROM), and electrically erasable programmable read-only memory (EEPROM), a memory (recording medium) including disks, floppy disks, optical disks, high-density disks, mini disks, or DVDs, or any recording medium to be used in the future.

[0075] The processing circuit 1102A may also be a processing circuit that executes programs stored in the storage device 1103, an external CD-ROM, an external DVD-ROM, or an external flash memory. That is, it may be, for example, a central processing unit (CPU), a microprocessor, a microcomputer, or a digital signal processor (DSP).

[0076] When the processing circuit 1102A is a processing circuit that executes programs stored in the storage device 1103, an external CD-ROM, an external DVD-ROM, or an external flash memory, the analysis unit 18, the demand information construction unit 20, the solution information construction unit 22, the demand-side information suggestion unit 24, the solution-side information suggestion unit 26, the supplementary information need determination unit 28, the supplementary information request unit 30, and the supplementary information acceptance unit 32 are implemented by software, firmware, or a combination of software and firmware executed by the processing circuit 1102A from the programs stored in the storage device 1103. Furthermore, the functions of the analysis unit 18, the demand information construction unit 20, the solution information construction unit 22, the demand-side information suggestion unit 24, the solution-side information suggestion unit 26, the supplementary information need determination unit 28, the supplementary information request unit 30, and the supplementary information acceptance unit 32 can also be implemented, for example, by the cooperation of multiple processing circuits.

[0077] Software and firmware can also be described as programs and stored in storage device 1103. In this case, processing circuit 1102A achieves the above-mentioned functions by reading and executing the programs stored in storage device 1103. That is, storage device 1103 can also be a storage device that stores programs that ultimately achieve the above-mentioned functions by being executed by processing circuit 1102A.

[0078] Alternatively, the processing circuit 1102B can also be dedicated hardware. That is, it can be, for example, a single circuit, a composite circuit, a programmable processor, a parallel-programmable processor, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or a circuit composed of these.

[0079] When the processing circuit 1102B is dedicated hardware, the analysis unit 18, the demand information construction unit 20, the solution information construction unit 22, the demand-side information suggestion unit 24, the solution-side information suggestion unit 26, the supplementary information need determination unit 28, the supplementary information request unit 30, and the supplementary information acceptance unit 32 are implemented by the operation of the processing circuit 1102B. Furthermore, the functions of the analysis unit 18, the demand information construction unit 20, the solution information construction unit 22, the demand-side information suggestion unit 24, the solution-side information suggestion unit 26, the supplementary information need determination unit 28, the supplementary information request unit 30, and the supplementary information acceptance unit 32 can be implemented by their respective independent circuits or by a single circuit.

[0080] Furthermore, the functions of the analysis unit 18, the demand information construction unit 20, the solution information construction unit 22, the demand-side information suggestion unit 24, the solution-side information suggestion unit 26, the additional information need determination unit 28, the additional information request unit 30, and the additional information acceptance unit 32 may be partially implemented in the processing circuit 1102A that executes the program stored in the execution storage device 1103, and partially implemented in the processing circuit 1102B that is dedicated hardware.

[0081] Alternatively, the information input unit 12 is implemented by input device 1104A or input device 1104B.

[0082] In addition, the demand-side information suggestion unit 24 and the solution-side information suggestion unit 26 are also implemented through output devices 1105A or 1105B (or can be shared with input devices). That is, the demand-side information suggestion unit 24 and the solution-side information suggestion unit 26 are implemented by having output devices 1105A or 1105B display demand information, solution information or a combination thereof.

[0083] <Regarding the effects produced by the various implementation methods described above>

[0084] Next, examples of the effects produced by the various embodiments described above are shown. Furthermore, in the following description, this effect is described based on the specific structures exemplified in the various embodiments described above; however, it can also be replaced with other specific structures exemplified in this application specification to produce the same effect. That is, for ease of explanation, sometimes only one of the corresponding specific structures is described representatively, but the representatively described specific structure can also be replaced with other corresponding specific structures.

[0085] Furthermore, this substitution can be performed across multiple implementations. That is, it can also be a case where various structures exemplified in different implementations are combined to produce the same effect.

[0086] According to the embodiments described above, the information suggestion system 10 includes an information input unit 12, a parsing unit 18, a suggestion unit, and an additional information request unit 30. Here, the suggestion unit corresponds to at least one of a demand-side information suggestion unit 24 and a solution-side information suggestion unit 26. The information input unit 12 receives at least one of demand information and solution information as input information. The parsing unit 18 generates a combination of the input information and the demand information or solution information. Furthermore, the parsing unit 18 analyzes the degree of matching between the input information and the demand information or solution information. The suggestion unit suggests at least one combination of demand information and solution information based on the degree of matching. When an additional information request is input, the additional information request unit 30 requests additional information that is associated with the input information.

[0087] Furthermore, according to the embodiments described above, the information suggestion system 10 includes an input device 1104A and an output device 1105A. Additionally, the information suggestion system 10 includes a processing circuit 1102A for executing programs and a storage device 1103 for storing programs to be executed. Moreover, by executing the program through the processing circuit 1102A, the following operations are achieved.

[0088] That is, when at least one of the input requirements information and solution information is used as input information, the degree of matching between the input information and the requirements information or solution information is analyzed, and a combination of the input information and the requirements information or solution information is generated. Then, at least one combination of requirements information and solution information is suggested based on the degree of matching. Then, in the case of an additional information request, the additional information is the information requested to be added in association with the input information.

[0089] Furthermore, according to the embodiments described above, the information suggestion system 10 includes an input device 1104B and an output device 1105B. Additionally, the information suggestion system 10 includes a processing circuit 1102B, which is dedicated hardware. Moreover, the dedicated hardware processing circuit 1102B performs the following operations.

[0090] That is, when the dedicated hardware processing circuit 1102B is input with at least one of the input requirement information and solution information, it analyzes the degree of matching between the input information and the requirement information or solution information, and generates a combination of the input information and the requirement information or solution information. Then, it suggests at least one combination of the requirement information and solution information based on the degree of matching. Then, in the case of an additional information request, the additional information is requested to be added in association with the input information.

[0091] Based on this structure, requesting additional information can facilitate a proper match between requirement information and solution information.

[0092] Furthermore, the same effect can be achieved even when other structures exemplified in this application specification are appropriately added to the above-described structure, that is, when other structures in this application specification not mentioned as the above-described structure are appropriately added.

[0093] Furthermore, according to the embodiments described above, the information suggestion system 10 includes a display device for displaying combinations. Here, the display device corresponds to at least one of output devices 1105A, 1105B, etc. The parsing unit 18 calculates the similarity between the input information and the requirement information or solution information as the matching degree. Moreover, output device 1105A or output device 1105B displays multiple combinations in descending order of similarity. With this structure, by displaying the solution information or requirement information in descending order of matching degree, the user can efficiently select the solution information or requirement information that makes a match from the displayed information.

[0094] Furthermore, according to the embodiment described above, when the amount of information in the input information before the analysis unit 18 generates the combination is below a first threshold, an additional information request is input. With this structure, when the amount of information in the externally inputted information (requirement information or solution information) is insufficient for matching, an additional information request can be generated. Therefore, the matching accuracy between requirement information and solution information can be improved.

[0095] Furthermore, according to the embodiment described above, when the similarity score between the combined input information generated by the parsing unit 18 and the demand information or solution information is below a second threshold, an additional information request is input. With this structure, in cases where there is a decrease in the similarity score between the demand information and solution information due to insufficient information, generating an additional information request can resolve this decrease, thereby improving matching accuracy.

[0096] Furthermore, according to the embodiments described above, the user inputs an additional information request from an external source. With this structure, in addition to the case where the additional information request is generated by the additional information need determination unit 28, the user can input an additional information request under any conditions to improve the matching accuracy between requirement information and solution information.

[0097] Furthermore, according to the implementation method described above, a combination is generated based on demand information and multiple solution information. With this structure, it is possible to combine solutions for addressing the demand with multiple solution information for searching, thus increasing the degree of freedom in combination.

[0098] Furthermore, according to the embodiments described above, the analysis unit 18 adjusts the matching degree based on the attribute information of the demand information or solution information. With this structure, it is possible to select a combination more suitable for commercialization, taking into account factors such as the reliability of the demand information or solution information.

[0099] Furthermore, according to the embodiments described above, the analysis unit 18 adjusts the matching degree based on the market positioning of demand information or solution information. With this structure, by prioritizing solution information currently circulating in the market as combination candidates, or prioritizing solution information that can be exclusively acquired in the market as combination candidates, it is possible to select combinations that are advantageous for commercialization.

[0100] Furthermore, according to the embodiments described above, the information suggestion system 10 includes a matching database 34 for recording combinations that have resulted in a match. Moreover, when the input information is requirement information, the requirement-side information suggestion unit 24 suggests requirement information from combinations recorded in the matching database 34 that is similar to the input information. Similarly, when the input information is solution information, the solution-side information suggestion unit 26 suggests solution information from combinations recorded in the matching database 34 that is similar to the input information. With this structure, options for matching requirement information or solution information can be presented to the user from different perspectives.

[0101] Furthermore, according to the embodiments described above, when the input information is demand information, the demand-side information suggestion unit 24 suggests combinations of demand information similar to the input information from the combinations recorded in the matching database 34. Moreover, when the input information is solution information, the solution-side information suggestion unit 26 suggests combinations of solution information similar to the input information from the combinations recorded in the matching database 34. With this structure, options for matching demand information or solution information can be presented to the user from different perspectives.

[0102] Furthermore, according to the embodiments described above, the information suggestion system 10A includes a demand information database 14 for recording demand information, a solution information database 16 for recording solution information, and a feedback unit 36. Moreover, the feedback unit 36 ​​reflects the information exchange between the provider of the combined input information and the provider of the demand information or solution information in at least one of the demand information database 14 and the solution information database 16. With this structure, the information exchanged via the feedback unit 36 ​​is reflected in the demand information database 14 and the solution information database 16, and is taken into consideration during matching, thereby improving matching accuracy.

[0103] According to the embodiments described above, in the information suggestion method, at least one of input requirement information and solution information is used as input information. Then, the degree of matching between the input information and the requirement information or solution information is analyzed, and a combination of the input information and the requirement information or solution information is generated. Then, at least one combination of requirement information and solution information is suggested based on the degree of matching. Then, if an additional information request is input, the requested additional information is the information to be added in association with the input information.

[0104] Based on this structure, requesting additional information can facilitate a proper match between requirement information and solution information.

[0105] Furthermore, the order in which each process is performed can be changed without special restrictions.

[0106] Furthermore, the same effect can be achieved even when other structures exemplified in this application specification are appropriately added to the above-described structure, that is, when other structures in this application specification not mentioned as the above-described structure are appropriately added.

[0107] <Variations on the above-described embodiments>

[0108] In the various embodiments described above, the dimensions, shapes, relative configurations, or implementation conditions of each structural element are sometimes also described, but these are all examples and not limiting in all respects.

[0109] Furthermore, as long as there is no contradiction, in the above-described implementation method where "one" structural element is described, "more than one" of the structural element may also be included.

[0110] Furthermore, the descriptions in this application are referenced for all purposes related to this technology and are not considered to be prior art.

[0111] Furthermore, the structural elements described in the above-described embodiments can be conceived as software or firmware, or as corresponding hardware. As software, they are referred to as "components" for example, and as hardware, they are referred to as "processing circuits" for example.

[0112] (Explanation of reference numerals in the attached image)

[0113] 10: Information suggestion system; 10A: Information suggestion system; 12: Information input unit; 14: Demand information database; 16: Solution information database; 18: Analysis unit; 20: Demand information construction unit; 22: Solution information construction unit; 24: Demand-side information suggestion unit; 26: Solution-side information suggestion unit; 28: Additional information need determination unit; 30: Additional information request unit; 32: Additional information acceptance unit; 34: Matching database; 36: Feedback unit; 1102A: Processing circuit; 1102B: Processing circuit; 1103: Storage device; 1104A: Input device; 1104B: Input device; 1105A: Output device; 1105B: Output device.

Claims

1. An information recommendation system, which provides information about a combination of demand information and at least one solution information corresponding to said demand information, comprising: The information input unit receives at least one of the requirement information and the solution information as input information. The parsing unit is used to generate the combination of the input information and the requirement information or the solution information, and to parse the degree of matching between the input information and the requirement information or the solution information; The suggestion department is used to suggest at least one combination of the requirement information and the solution information based on the degree of matching. as well as The additional information request unit is used to request additional information, which is associated with the input information, when an additional information request is input.

2. The information suggestion system according to claim 1, wherein, It also includes a display device for displaying the combination. The parsing unit calculates the similarity between the input information and the requirement information or the solution information as the matching degree. The display device displays multiple combinations in descending order of similarity.

3. The information recommendation system according to claim 1 or 2, wherein, The additional information request is input when the amount of information in the input information before the combination is generated by the parsing unit is below a first threshold.

4. The information recommendation system according to claim 1 or 2, wherein, The additional information request is input when the similarity between the combined input information generated by the parsing unit and the requirement information or the solution information is below a second threshold.

5. The information recommendation system according to claim 1 or 2, wherein, The additional information request is input by the user from an external source.

6. The information recommendation system according to any one of claims 1 to 5, wherein, The combination is generated based on the requirement information and multiple solution information.

7. The information recommendation system according to any one of claims 1 to 6, wherein, The parsing unit adjusts the matching degree based on the attribute information of the requirement information or the solution information.

8. The information recommendation system according to any one of claims 1 to 7, wherein, The analysis department adjusts the matching degree based on the market positioning of the demand information or the solution information.

9. The information recommendation system according to any one of claims 1 to 8, wherein, It also includes a matching database for recording the combinations that are matched. If the input information is the demand information, the suggestion unit will also suggest demand information from the combinations recorded in the matching database that are similar to the input information. When the input information is the solution information, the suggestion unit will suggest the solution information that is similar to the input information from the combinations recorded in the matching database.

10. The information suggestion system according to claim 9, wherein, If the input information is the demand information, the suggestion unit will suggest combinations from the matching database that contain demand information similar to the input information. When the input information is the solution information, the suggestion unit will suggest combinations from the combinations recorded in the matching database that contain solution information similar to the input information.

11. The information recommendation system according to any one of claims 1 to 10, wherein, It also has: A demand information database records the demand information. A solution information database records information about the aforementioned solutions; as well as The feedback unit ensures that the information exchange between the provider of the input information constituting the combination and the provider of the demand information or the solution information is reflected in at least one of the demand information database and the solution information database.

12. An information recommendation method, which is an information provisioning method that provides information about a combination of demand information and at least one solution information corresponding to said demand information, wherein, The input information is at least one of the requirement information and the solution information. The degree of matching between the input information and the requirement information or the solution information is analyzed, and the combination of the input information and the requirement information or the solution information is generated. Based on the degree of matching, at least one combination of the requirement information and the solution information is suggested. When a request for additional information is entered, the additional information is the information that is requested to be added in association with the input information.

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