Support device, support program, and support method

Abstract

To provide a support device, a support program, and a support method for supporting the search for attractive business themes.SOLUTION: In a system in which a server device is communicatively connected to a user terminal via a communication network, the server device, which is a support device that supports the search for business themes, includes a business entity information acquisition unit that acquires business entity information including the business details 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 the business entity information of a second country that has vector information similar to the vector information of the business entity in a first country to the user terminal used by a user.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to an assistance device, an assistance program, and an assistance method. [Background technology]

[0002] In recent years, new business ventures have been proposed in a variety of ways. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7454213 Summary of the Invention [Problem to be solved by the invention]

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

[0005] However, it is actually difficult to search for new business themes simply by comparing intellectual property information.

[0006] The present invention has been made in view of the above background, and aims to support the search for attractive business themes. [Means for solving the problem]

[0007] In order to solve the above problems, the support device disclosed herein for supporting the search for business themes comprises a business entity information acquisition unit that acquires business entity information including business details 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 the business entity information of a second country, which has vector information similar to the vector information of a business entity in a first country, on a user terminal used by a user.

[0008] Other problems and solutions disclosed in this application will be made clear in the section on preferred embodiments of the invention and the drawings. [Effects of the Invention]

[0009] According to the present invention, it is possible to support the search for attractive business themes. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a diagram illustrating an example of the overall configuration of a support system according to an embodiment of the present invention. [Figure 2] 2 is a diagram illustrating an example of a hardware configuration of a server device 1 according to the embodiment. FIG. [Figure 3] 2 is a diagram illustrating an example of a functional configuration of a server device 1 according to the embodiment. FIG. [Figure 4] 10 is a diagram showing an example of business entity information stored in a business entity information storage unit 131. FIG. [Figure 5] 10 is a diagram showing an example of technical document information stored in a technical document information storage unit 133. FIG. [Figure 6] FIG. 10 is a diagram illustrating an example of processing performed by the server device 1 according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0011] <Summary of the Invention> [Item 1] A support device that supports the search for business themes, an entity information acquisition unit that acquires entity information including business details of 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, on a user terminal used by a user, information on a second country entity having vector information similar to the vector information on the first country entity; An assistance device comprising: [Item 2] the presenting unit presents, to the user terminal, 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, when the entity information of the entity in the first country satisfies a predetermined condition. Item 1. The assistive device according to item 1. [Item 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 assistive device according to item 1 or 2. [Item 4] The predetermined condition is that the business entity has raised funds of a predetermined amount; 3. The assistive device according to item 1 or 2. [Item 5] A support program that supports the exploration of business themes, The processor an entity information acquisition step for 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 the business entity information; a presentation step of presenting, on a user terminal used by a user, entity information of a second country, the entity information having the vector information similar to the vector information of an entity of a first country; A support program to help you achieve this. [Item 6] A support method for supporting the search for a business theme, comprising: The processor: an entity information acquisition step for 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 the business entity information; a presentation step of presenting, on a user terminal used by a user, entity information of a second country, the entity information having the vector information similar to the vector information of an entity of a first country; How to support this.

[0012] 1 is a diagram showing an example of the overall configuration of an evaluation system according to one embodiment of the present invention. The evaluation system of this embodiment is configured to include 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 using 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, for example, a general-purpose computer such as a workstation or a personal computer, or may be logically realized by cloud computing. In this embodiment, for convenience of explanation, one server device is illustrated as an example, but this is not limited to this and multiple servers may be used.

[0014] ==User terminal 3== The user terminal 3 is a computer operated by a user who searches for a new business theme. For example, the user terminal 3 may be a smartphone, tablet computer, personal computer, or wearable computer. The user can access the server device 1 using, for example, an application or a web browser executed on the user terminal 3.

[0015] FIG. 2 is a diagram illustrating an example of the hardware configuration of the server device 1. Note that the illustrated configuration is an example, and other configurations may also be used. 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, and is, for example, a hard disk drive, a solid state drive, or a flash memory. The communication interface 104 is an interface for connecting to the communication network 2, and is, for example, an adapter for connecting to Ethernet (registered trademark), a modem for connecting to a public telephone network, a wireless communication device for wireless communication, a USB (Universal Serial Bus) connector or an RS232C connector for serial communication, etc. The input device 105 is, for example, a keyboard, a mouse, a touch panel, a button, a microphone, etc. for inputting data. The output device 106 is, for example, a display, a printer, a speaker, etc. for outputting data. Each functional unit of the server device 1, which will be 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 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 storage units, namely, a business entity information storage unit 131, a vector information storage unit 132, and a technical literature information storage unit 133, and processing units, namely, a business entity information acquisition unit 111, a vector information generation unit 112, a literature information acquisition unit 113, a business theme information generation unit 114, a field determination unit 115, a similarity determination unit 116, and a presentation unit 117.

[0017] The business entity information storage unit 131, the vector information storage unit 132, and the technical literature information storage unit 133 will be described below.

[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., trends in fundraising amounts, trends in stock prices, trends in sales, trends in profits, trends in number of employees, etc.). Note that manager information includes, but is not limited to, characteristic information, such as the names of one or more managers for each business entity and their respective characteristics (including information on educational background, work history, qualifications held, business achievements, etc.).

[0019] In this embodiment, the term "business entity" refers to any unit that conducts business, and examples include, but are not limited to, business entities such as organizations, corporations, and individuals, such as a stock company, LLC (limited liability company), LLP (limited liability company), NPO (non-profit organization), general incorporated association, public interest incorporated foundation, and sole proprietorship. Furthermore, in this embodiment, the manager refers to an individual who is responsible for the management of the business entity, and includes, but is not limited to, for example, a director (including an auditor), executive officer, or department head such as a division manager in a stock company, an executive partner in an LLC, a member designated by an investor in an LLP, and a director in a general incorporated association or public interest incorporated foundation.

[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, for example, academic papers, academic conference presentation materials, technology-related media articles, intellectual property specifications such as patents, company newsletters, and other technology-related documents, but are not limited to these examples. Examples of technical document information include, but are not limited to, the title, author, the author's personal identification code, the author's affiliated institution, abstract, main text, cited documents, journal name, publication date, document identification code, and the like.

[0022] Below, we will explain the processing units of the business entity information acquisition unit 111, vector information generation unit 112, literature information acquisition unit 113, business theme information generation unit 114, field determination unit 115, similarity determination unit 116, and presentation unit 117.

[0023] As an example, the business entity information acquisition unit 111 acquires information about business entities. For example, the business entity information acquisition unit 111 acquires information about business entities by crawling information on the Internet. For example, the business entity information acquisition unit 111 acquires information about business entities from websites on the Internet, such as news sites, release sites, homepages of each business entity, and various SNSs. The business entity information acquisition unit 111 may also acquire information about 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 business entity information for at least two or more countries.

[0025] As an example, the vector information generation unit 112 generates vector information by vectorizing the business entity information and stores the vector information in the vector information storage unit 132. The vector information generation unit 112 generates vector information by, for example, vectorizing the business entity information using a known vector generation method. Specifically, for example, the vector information generation unit 112 may divide the text of the business content included in the business entity information into words using morphological analysis or the like, and vectorize these words based on co-occurrence relationships between words using Word2Vec, GloVe, or the like. Furthermore, the vector information generation unit 112 may generate word vectors based not only on co-occurrence relationships but also on context information using a method such as ELMo or BERT, for example, although the vectorization method is not limited to the above-mentioned example.

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

[0027] The document information acquiring unit 113, for example, acquires document information including information on documents that include descriptions related to technology. The document information acquiring unit 113 acquires document information by, for example, crawling information on the Internet. The document information acquiring unit 113 acquires information that is publicly available on the Internet, such as academic journals, conference abstracts, and exhibition information. The document information acquiring unit 113 may also acquire document information from paid databases, member websites, and the like that are not publicly available on the Internet.

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

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

[0030] For example, the field determination unit 115 may analyze document information and determine the technical field to which the document information belongs. The field determination unit 115 may determine the technical field based on, for example, vector information generated based on the document information. Alternatively, 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] As an example, the similarity determination unit 116 determines the similarity between the business entity information and the business theme information generated by the business theme information generation unit 114. The similarity determination unit 116 may, for example, calculate cosine similarity from vector information of the business entity information and vector information of the business theme information, and determine the similarity based on the calculated value. The similarity determination unit 116 may rank the businesses with high similarity according to the similarity using the method described above. Furthermore, the similarity determination unit 116 may determine the similarity between business entity information or between business theme information.

[0032] As an example, when at least one of the business entity information, business theme information, and similarity satisfies a predetermined condition, the presentation unit 117 presents at least one of the business entity information and the business theme information to the user terminal 3. The presentation method may be, but is not limited to, email, a messaging app (Slack (registered trademark), LINE (registered trademark)), or the like.

[0033] As an example, the presentation unit 117 presents the business entity information of business entities that have low similarity to other business entities to the user terminal 3. The presentation unit 117 may calculate the cosine similarity based on vector information generated from the business entity information, for example, and present the business entity information of business entities that have low similarity to the user terminal 3. In this case, the similarity may be calculated between business entities in a specified country, or the cosine similarity may be calculated based on vector information of business entities operating in a specified country and vector information of business entities operating in another country.

[0034] As an example, the presentation unit 117 presents to the user terminal 3 the entity information of an entity B in a second country that is an entity in a first country and has vector information similar to the vector information of an entity A that satisfies specified conditions.

[0035] In this case, the predetermined condition may be a predetermined business progress, such as raising a predetermined amount of funds (which may be a single series of funds or a cumulative amount of funds raised), reaching a predetermined fundraising series, receiving investment from a predetermined investor, forming a partnership with a predetermined business company (including, but not limited to, a business partnership, joint research, or capital partnership), achieving a predetermined traction, etc. Note that the predetermined condition may also be the occurrence of a negative event for the business, such as bankruptcy, business problems (including, but not limited to, product recalls, research and development failures, resignations of directors, etc.), the imposition of predetermined regulations, failure to achieve a predetermined traction, reduced or no communication from the business entity or employees, etc.

[0036] The presentation unit 117 may present, together with the business entity information of business entity B, business entity information or business theme information of other business entities having vector information with a high degree of similarity to the business entity information of business entity B to the user.

[0037] For example, the presentation unit 117 may present business entity information that is highly similar to the business theme information to the user terminal 3. For example, the presentation unit 117 presents business entity information of a business entity that has vector information similar to the vector information of the business theme information to the user terminal 3.

[0038] For example, the presentation unit 117 may present to the user terminal 3 business theme information that is highly similar to the business entity information of a business entity that satisfies the above-described predetermined condition, together with the business entity information.

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

[0040] The server device 1 may perform the above-described processing, for example, when it acquires business entity information or document information. For example, when a new technical document is published and new document information is acquired, the server device 1 generates business theme information and converts it into vector information, determines the similarity with the vector information of business entity information acquired, generated, and stored earlier, and presents at least one of the business entity information and the business theme information to the user terminal 3 according to the above-described conditions. The same applies when the server device 1 acquires new business entity information.

[0041] FIG. 6 is a diagram illustrating an example of processing performed by the evaluation device of this embodiment.

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

[0043] Other examples are given below.

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

[0045] In this embodiment, the support system is used to search for new business themes, but it may also be used to search for partner businesses (including startups) to partner with or invest in.

[0046] Although the preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, the technical scope of the present disclosure is not limited to such examples. It is clear that a person skilled in the art of the present disclosure can conceive of various modified or altered examples within the scope of the technical idea described in the claims, and it is understood that these also naturally fall within 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 (e.g., cloud servers) partly or entirely connected via a communication network. For example, the CPU and storage device of the server device 1 may be realized by different servers connected to each other via a communication network.

[0048] The series of processes performed by the device described herein may be implemented using software, hardware, or a combination of software and hardware. A computer program for implementing each function of the server device 1 according to this embodiment may be created and installed on a PC or the like. A computer-readable recording medium storing such a computer program may also be provided. Examples of the recording medium include a magnetic disk, an optical disk, a magneto-optical disk, and a flash memory. The computer program may also be distributed, for example, via a communication network without using a recording medium.

[0049] Additionally, the processes described herein do not necessarily have to be performed in the order described, some process steps may be performed in parallel, additional process steps may be employed, and some process steps may be omitted.

[0050] Furthermore, the effects described herein are merely descriptive or exemplary and are not limiting. In other words, the technology according to the present disclosure may achieve other effects that will be apparent to those skilled in the art from the description of this specification, in addition to or in place of the above-described 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 department 112 Vector information generation unit 113 Literature Information Acquisition Department 114 Business Theme Information Generation Department 115 Field Determination Department 116 Similarity determination unit 117 Presentation section 131 Business entity information storage unit 132 Vector information storage unit 133 Technical literature information storage section

Claims

1. A support device that supports the search for business themes, a business entity information acquisition unit that acquires business entity information including business details 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, on a user terminal used by a user, entity information of the entity in a second country that has vector information similar to the vector information of the entity in a first country; An assistance device comprising:

2. the presenting unit presents, to the user terminal, 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, when the entity information of the entity in the first country satisfies a predetermined condition. 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. The support device according to claim 1 or 2.

4. The predetermined condition is that the business entity has raised funds of a predetermined amount; The support device according to claim 1 or 2.

5. A support program that supports 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 the business entity information; a presentation step of presenting, on a user terminal used by a user, business entity information of a second country having the vector information similar to the vector information of the business entity of the first country; A support program to help you achieve this.

6. A support method for supporting the 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 the business entity information; a presentation step of presenting, on a user terminal used by a user, business entity information of a second country having the vector information similar to the vector information of the business entity of the first country; How to support this.

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