Support device, support program, support method

Abstract

Provided are a support device, a support program, and a support method for assisting in searching for an attractive business theme. 【Solution means】In a system in which a server device is communicably connected to a user terminal via a communication network, the server device, which is a support device for assisting in searching for a business theme, includes a business entity information acquisition unit that acquires business entity information including the business contents of business entities in at least two or more countries, a vector information generation unit that generates vector information based on the business entity information, and a presentation unit that presents, to a user terminal used by the user, the business entity information of a second country having vector information similar to the vector information of the business entity of the first country.

Description

Technical Field

[0001] The present invention relates to a support device, a support program, and a support method.

Background Art

[0002] In recent years, new business proposals have been made by various methods.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] For example, in Patent Document 1, by comparing the information on intellectual property held by the company itself with the information on intellectual property held by other companies, a decision is made on the field to enter into a new business.

[0005] However, it is actually difficult to explore the theme of a new business only by comparing the information on intellectual property.

[0006] The present invention has been made in view of such a background, and an object thereof is to support the exploration of an attractive business theme.

Means for Solving the Problems

[0007] To solve the above problems, a support device for supporting the exploration of a business theme according to the present disclosure includes an entity information acquisition unit that acquires entity information including the business contents of entities in at least two or more countries, a vector information generation unit that generates vector information based on the entity information, and a presentation unit that presents, to a user terminal used by the user, the entity information of an entity in a second country having the vector information similar to the vector information of an entity in a first country.

[0008] Regarding other problems disclosed in this application and their solutions, they will be clarified by the embodiments of the invention and the drawings.

Effects of the Invention

[0009] According to the present invention, it is possible to support the exploration of attractive business themes.

Brief Description of the Drawings

[0010]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Modes for Carrying Out the Invention

[0011] <Summary of the Invention> [Item 1] A support device for supporting the exploration of business themes, a business entity information acquisition unit that acquires business entity information including the business contents of business entities in at least two or more countries, a vector information generation unit that generates vector information based on the business entity information, a presentation unit that presents, to a user terminal used by the user, the business entity information of a second country having the vector information similar to the vector information of the business entity of the first country, and a support device comprising the same. [Item 2] When the business entity information of the business entity in the first country satisfies a predetermined condition, the prompting unit prompts the user terminal with the business entity information of the business entity in the second country that has vector information similar to the vector information of the business entity in the first country. The support device according to item 1. [Item 3] The prompting unit inputs text information generated based on the business entity information into a generation model, generates business information regarding the business viability of the business entity based on the output information output from the generation model, and presents the business entity information and the business information to the user together. The support device according to item 1 or 2. [Item 4] The predetermined condition is that the business entity has obtained financing of a predetermined scale. The support device according to item 1 or 2. [Item 5] A support program for assisting in exploring business themes, In a processor, A business entity information acquisition step of acquiring business entity information including the business contents of business entities in at least two or more countries, A vector information generation step of generating vector information based on the business entity information, A presentation step of presenting to the user terminal used by the user the business entity information of the business entity in the second country that has vector information similar to the vector information of the business entity in the first country, A support program for causing the above to be executed. [Item 6] A support method for assisting in exploring business themes, A processor A business entity information acquisition step of acquiring business entity information including the business contents of business entities in at least two or more countries, A vector information generation step of generating vector information based on the business entity information, A presentation step of presenting to the user terminal used by the user the business entity information of the business entity in the second country that has vector information similar to the vector information of the business entity in the first country, A support method for executing the above.

[0012] FIG. 1 is a diagram showing an example of the overall configuration of an evaluation system according to an embodiment of the present invention. The evaluation system of this embodiment includes a server device 1. The server device 1 is communicably connected to a user terminal 3 via a communication network 2. The communication network 2 is, for example, the Internet and is constructed by a public telephone network, a mobile phone network, a wireless communication path, Ethernet (registered trademark), or the like.

[0013] ==Server Device 1== The server device 1 may be a general-purpose computer such as a workstation or a personal computer, or may be logically realized by cloud computing. In this embodiment, one unit is illustrated for convenience of explanation, but the present invention is not limited thereto, and a plurality of units may be used.

[0014] ==User Terminal 3== The user terminal 3 is a computer used by a user who searches for themes of new businesses. For example, it is a smartphone, a tablet computer, a personal computer, a wearable computer, or the like. The user can access the server device 1, for example, by an application executed on the user terminal 3 or a web browser.

[0015] FIG. 2 is a diagram showing an example of the hardware configuration of the server device 1. Note that the illustrated configuration is an example, and it may have other configurations. The server device 1 includes a processor 101, a memory 102, a storage device 103, a communication interface 104, an input device 105, and an output device 106. The storage device 103 stores various data and programs, such as a hard disk drive, a solid state drive, a flash memory, etc. The communication interface 104 is an interface for connecting to the communication network 2, such as an adapter for connecting to Ethernet (registered trademark), a modem for connecting to a public telephone network, a wireless communication device for performing wireless communication, a USB (Universal Serial Bus) connector or an RS232C connector for serial communication, etc. The input device 105 inputs data, such as a keyboard, a mouse, a touch panel, a button, a microphone, etc. The output device 106 outputs data, such as a display, a printer, a speaker, etc. Note that each functional unit of the server device 1 described later is realized by the processor 101 reading a program stored in the storage device 103 into the memory 102 and executing it, and each storage unit of the server device 1 is realized as a part of the storage area provided by the memory 102 and the storage device 103.

[0016] FIG. 3 shows the functional configuration of the server device 1. As shown in FIG. 3, the server device 1 includes each storage unit such as an enterprise information storage unit 131, a vector information storage unit 132, and a technical document information storage unit 133, and each processing unit such as an enterprise information acquisition unit 111, a vector information generation unit 112, a document information acquisition unit 113, an enterprise theme information generation unit 114, a field determination unit 115, a similarity determination unit 116, and a presentation unit 117.

[0017] Descriptions of each storage unit of the enterprise information storage unit 131, the vector information storage unit 132, and the technical document information storage unit 133 are described.

[0018] The business entity information storage unit 131 stores information about business entities to be evaluated, as shown in Fig. 4. Examples of business entity information include, but are not limited to, company name, date of establishment, capital, business details, address, contact information, manager information, founder information, shareholder information, and growth information (e.g., changes in fundraising amount, changes in stock price, changes in sales, changes in profits, changes in number of employees, etc.). Note that the manager information includes, but is not limited to, property information, which is information such as the names of one or more managers for each business entity and their respective properties (including information on educational background, work history, qualifications held, business achievements, etc.).

[0019] In this embodiment, the business entity may be any unit that conducts business, and examples of such business entities include, but are not limited to, organizations, corporations, individuals, etc., such as joint stock companies, LLCs (limited liability companies), LLPs (limited liability companies), NPOs (non-profit organizations), general incorporated associations, public interest incorporated foundations, and sole proprietors. In addition, the manager in this embodiment is an individual who is responsible for the management of the business entity, and includes, but is not limited to, for example, directors (including auditors), executive officers, and department heads such as business division managers in joint stock companies, executive members in LLCs, members determined by investors in LLPs, and directors in general incorporated associations and public interest incorporated foundations.

[0020] The vector information storage unit 132 stores vector information generated by the vector information generation unit 112 (described later) that is obtained by vectorizing business entity information or business theme information.

[0021] The technical document information storage unit 133 stores technical document information related to technical documents, as shown in Fig. 5. Technical documents in this embodiment are documents related to technology, such as academic papers, conference presentation materials, technology-related media articles, intellectual property specifications such as patents, in-house newsletters, etc., but are not limited to these examples. Examples of technical document information include, but are not limited to, the title, the author, the author's personal identification code, the author's affiliated institution, abstract, main text, cited documents, journal name, publication date, document identification code, etc.

[0022] The following describes the processing units of the business entity information acquisition unit 111, the vector information generation unit 112, the document information acquisition unit 113, the business theme information generation unit 114, the field determination unit 115, the similarity determination unit 116, and the presentation unit 117.

[0023] The business entity information acquisition unit 111, as an example, acquires information of business entities. The business entity information acquisition unit 111, for example, crawls information on the Internet to acquire information of business entities. The business entity information acquisition unit 111, for example, acquires information of business entities from websites on the Internet such as news sites, release sites, the home pages of each business entity, and various SNSs. The business entity information acquisition unit 111 may acquire information of business entities from a paid database or the like that is not publicly available on the Internet.

[0024] The business entity information acquisition unit 111 acquires information of business entities in at least two or more countries.

[0025] The vector information generation unit 112, as an example, generates vector information obtained by vectorizing business entity information and stores it in the vector information storage unit 132. The vector information generation unit 112, for example, generates vector information obtained by vectorizing business entity information by a known vector generation method. Specifically, for example, the vector information generation unit 112 divides the text of the business content included in the business entity information into words using morphological analysis or the like, and vectorizes these words based on the co-occurrence relationship between words using Word2Vec, GloVe, or the like. Also, the vector information generation unit 112, for example, may generate word vectors based on context information as well as simply based on the co-occurrence relationship using methods such as ELMo or BERT, but the vectorization method is not limited to the above-described examples.

[0026] The vector information generation unit 112, as an example, generates vector information obtained by vectorizing business theme information generated based on the document information described later and stores it in the vector information storage unit 132. The method by which the vector information generation unit 112 vectorizes the business theme information may be the same as the method by which it vectorizes the business entity information.

[0027] The document information acquisition unit 113 acquires, as an example, document information including information on documents containing descriptions related to technologies. For example, the document information acquisition unit 113 crawls information on the Internet to acquire document information. For example, the document information acquisition unit 113 acquires information publicly available on the Internet such as academic journals, conference abstract collections, and exhibition information. The document information acquisition unit 113 may also acquire document information from paid databases, member websites, etc. that are not publicly available on the Internet.

[0028] The business theme information generation unit 114 generates, as an example, business theme information based on the document information acquired by the document information acquisition unit 113. For example, the business theme information generation unit 114 inputs a prompt including document information into a generative AI and generates business theme information based on the output information.

[0029] The field determination unit 115 analyzes, as an example, business entity information or business theme information and determines the business field or technical field to which the business entity information or the business theme information belongs. For example, the field determination unit 115 may determine the business field or technical field based on vector information generated based on the business entity information or business theme information. Further, for example, the field determination unit 115 may input text information generated based on document information into a generative model and determine the business field or technical field based on the output information.

[0030] The field determination unit 115 may analyze, as an example, document information and determine the technical field to which the document information belongs. For example, the field determination unit 115 may determine the technical field based on vector information generated based on the document information. Further, for example, the field determination unit 115 may input text information generated based on the document information into a generative model and determine the technical field based on the output information.

[0031] The similarity determination unit 116 determines, as an example, the similarity between the business entity information and the business theme information generated by the business theme information generation unit 114. For example, the similarity determination unit 116 may calculate the cosine similarity from the vector information of the business entity information and the vector information of the business theme information, and determine the similarity based on that value. The similarity determination unit 116 may rank the business entities with higher similarity according to the similarity by the method described above. Also, the similarity determination unit 116 may determine the similarity between business entity information or the similarity between business theme information.

[0032] The presentation unit 117 presents, as an example, at least one of the business entity information, the business theme information, and the similarity to the user terminal 3 when at least any of the information satisfies a predetermined condition. The presentation method may be, for example, an email, a message application (Slack (registered trademark), LINE (registered trademark)), etc., but is not limited to these methods.

[0033] The presentation unit 117 presents, as an example, the business entity information of a business entity with low similarity to other business entities to the user terminal 3. For example, the presentation unit 117 may obtain the cosine similarity based on the vector information generated based on each business entity information, and present the business entity information of the business entity with low similarity to the user terminal 3. In this case, the similarity may be obtained between business entities within a predetermined country, or the cosine similarity may be obtained based on the vector information of business entities operating within a predetermined country and the vector information of business entities operating in other countries.

[0034] The presentation unit 117 presents, as an example, the business entity information of a business entity B in a second country that has vector information similar to the vector information of a business entity A in a first country that satisfies a predetermined condition to the user terminal 3.

[0035] In this case, the predetermined condition may be that there has been a predetermined business progress. For example, it may be that a fund-raising of a predetermined amount or more (which may be the amount raised in a single series or the cumulative amount of the raised funds) has been carried out, that a predetermined series of fund-raising has been reached, that investment has been obtained from a predetermined investor, that a partnership (including but not limited to business partnership, joint research, capital partnership, etc.) has been formed with a predetermined business company, that a predetermined traction has been achieved, and so on. Note that the predetermined condition may also be the occurrence of a negative event for the business. For example, it may be bankruptcy, the occurrence of business problems (including but not limited to product recall, failure of research and development, resignation of directors, etc.), the imposition of a predetermined regulation, the failure to achieve a predetermined traction, a decrease in the dissemination from the business entity or employees, disappearance, and so on.

[0036] The presentation unit 117 may present to the user the business entity information of another business entity or business theme information that has vector information with a high similarity to the business entity information of business entity B, together with the business entity information of business entity B.

[0037] As an example, the presentation unit 117 may present to the user terminal 3 business entity information with a high similarity to the business theme information. For example, the presentation unit 117 presents to the user terminal 3 the business entity information of a business entity having vector information similar to the vector information of the business theme information.

[0038] As an example, the presentation unit 117 may present to the user terminal 3, together with the business entity information, business theme information with a high similarity to the business entity information of a business entity that satisfies the above-described predetermined condition.

[0039] The presentation unit 117 may obtain information on the field of interest by the operation of the user terminal by the user, and perform the above-described processing based on the business entity information or business theme information included in the field.

[0040] Incidentally, the server device 1 may perform the above-described processing, for example, at the timing of acquiring business entity information or document information. For example, when a technical document is newly issued and document information is newly acquired, the server device 1 generates business theme information at that timing, converts it into vector information, and determines the similarity with the vector information of the business entity information acquired, generated, and stored before that. Then, at least one of the business entity information or the business theme information may be presented to the user terminal 3 according to each of the above-described conditions. The same applies when the server device 1 newly acquires business entity information.

[0041] FIG. 6 is a diagram for explaining an example of the processing of the evaluation device according to the present embodiment.

[0042] The server device 1 acquires business entity information (1001). The server device 1 acquires document information (1002). The server device 1 generates business theme information from the document information (1003). The server device 1 converts the business entity information and the business theme information into vector information (1004). It determines the similarity of the vectors (1005). The server device 1 presents at least one of the business entity information or the business theme information to the user terminal 3 based on the similarity (1006).

[0043] The following other examples will be described.

[0044] The presentation unit 117 may input text information generated based on the business entity information or the business theme information into the generation AI, generate business entity information based on the information output by the generation AI, and present it to the user terminal 3.

[0045] In the present embodiment, the support system is assumed to be used for exploring themes of new businesses, but it may also be used for exploring partner business entities (including startups) that will be partners for cooperation or investment destinations.

[0046] As described above, the preferred embodiments of the present disclosure have been described in detail with reference to the accompanying drawings. However, the technical scope of the present disclosure is not limited to such examples. It is obvious that those having ordinary knowledge in the technical field of the present disclosure can conceive of various modification examples or correction examples within the scope of the technical idea described in the claims. Naturally, these are also understood to belong to the technical scope of the present disclosure.

[0047] The devices described in this specification may be realized as a single device, or may be realized by a plurality of devices (such as cloud servers) partially or entirely connected by a communication network. For example, the CPU and storage device of server device 1 may be realized by different servers connected to each other by a communication network.

[0048] A series of processes by the devices described in this specification may be realized using any of software, hardware, and combinations of software and hardware. It is possible to create a computer program for realizing each function of server device 1 according to this embodiment and install it on a PC or the like. In addition, a computer-readable recording medium storing such a computer program can also be provided. The recording medium is, for example, a magnetic disk, an optical disk, a magneto-optical disk, a flash memory, etc. Further, the above computer program may be distributed via a communication network, for example, without using a recording medium.

[0049] Also, the processes described in this specification do not necessarily have to be executed in the described order. Some process steps may be executed in parallel. In addition, additional process steps may be adopted, and some process steps may be omitted.

[0050] Also, the effects described in this specification are merely illustrative or exemplary and not limiting. That is, the technology according to the present disclosure may exhibit other effects obvious to those skilled in the art from the description of this specification, together with or instead of the above effects.

Explanation of Symbols

[0051] 1 Server device 2 Communication network 3 User terminal 101 CPU 102 Memory 103 Storage device 104 Communication interface 105 Input device 106 Output device 111 Business entity information acquisition unit 112 Vector information generation unit 113 Document information acquisition unit 114 Business theme information generation unit 115 Field determination unit 116 Similarity determination unit 117 Presentation unit 131 Business entity information storage unit 132 Vector information storage unit 133 Technical document information storage unit

Claims

1. A support device for supporting a search for a business theme, an entity information acquisition unit that acquires entity information including business details of entities in at least two or more countries; a vector information generating unit that generates vector information based on text information of the business entity information; a presentation unit that presents, when the entity information of the entity in the first country satisfies a predetermined condition, the entity information of the entity in the second country, which has vector information similar to the vector information of the entity in the first country, on a user terminal used by a user; Equipped with The predetermined condition is that the business entity has made a predetermined business progress. Support equipment.

2. The predetermined business progress is that the business entity has raised funds of a predetermined scale; The support device according to claim 1 .

3. The presentation unit inputs text information generated based on the business entity information into a generative model, generates business feasibility information regarding the business feasibility of the business entity based on output information output from the generative model, and presents the business entity information and the business feasibility information together to the user.

3. The support device according to claim 1 or 2.

4. A support program to assist in the exploration of business themes, The processor: An entity information acquisition step of acquiring entity information including business details of entities in at least two or more countries; a vector information generating step of generating vector information based on text information of the business entity information; a presentation step of presenting, when the entity information of the entity in the first country satisfies a predetermined condition, the entity information of the entity in the second country, which has the vector information similar to the vector information of the entity in the first country, on a user terminal used by a user; Run the command, The predetermined condition is that the business entity has made a predetermined business progress. Support programs.

5. A method for supporting a search for a business theme, comprising: The processor: An entity information acquisition step of acquiring entity information including business details of entities in at least two or more countries; a vector information generating step of generating vector information based on text information of the business entity information; a presentation step of presenting, when the entity information of the entity in the first country satisfies a predetermined condition, entity information of a second country having vector information similar to the vector information of the entity in the first country on a user terminal used by a user; Run The predetermined condition is that the business entity has made a predetermined business progress. How to help.

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