Generation system, generation program, and generation method

The generation system addresses the challenge of creating user-specific marketing data by utilizing an acquisition and generation unit with AI to process web content, resulting in tailored marketing data for improved marketing efficiency.

JP2026000421AActive Publication Date: 2026-01-05GITHOUSE CO LTD
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Patent Information

Application Number
JP2024190084
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-10-29
Publication Date
2026-01-05
Estimated Expiration
2044-06-17

AI Technical Summary

Technical Problem

Existing systems cannot generate marketing data that reflects the user's specific processing desires based on web content.

Method used

A generation system that includes an acquisition unit to gather web pages and a generation unit to process user-defined content using artificial intelligence, generating marketing data tailored to user specifications.

Benefits of technology

Enables the creation of marketing data that aligns with user preferences, facilitating easier and more effective marketing activities.

✦ Generated by Eureka AI based on patent content.

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Abstract

An object of the present invention is to provide a novel technique for generating data reflecting a user's desire.SOLUTION: In order to solve the above-described problem, the present invention provides a generation system for generating data, the generation system including an acquisition unit and a generation unit, wherein the acquisition unit acquires a web page included in a designated website, and the generation unit transmits web content based on the web page and processing content desired by a user to generative artificial intelligence to generate marketing data.SELECTED DRAWING: Figure 1
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Description

[Technical Field]

[0001] The present invention relates to a generation system, a generation program, and a generation method. [Background technology]

[0002] 2. Description of the Related Art Conventionally, there have been known techniques that allow a document to be created based on web content. An example of such a technique is proposed in Patent Document 1, for example.

[0003] Patent document 1 discloses that a blog analysis server uses a program called a crawler to collect blog data from multiple blog servers, provides blog data analysis services to multiple user terminal devices in response to requests from the user terminal devices, and also creates and provides summaries of word-of-mouth information about products and services. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2011-3158 Summary of the Invention [Problem to be solved by the invention]

[0005] However, although the invention described in Patent Document 1 can generate a summary based on web content, it cannot generate data that reflects the processing content desired by the user.

[0006] In view of the above circumstances, an object of the present invention is to provide a novel technique for generating data that reflects the user's wishes. [Means for solving the problem]

[0007] In order to solve the above problems, the present invention provides a generation system for generating data, the generation system including an acquisition unit and a generation unit, wherein the acquisition unit acquires web pages contained in a specified website, and the generation unit transmits web content based on the web pages and processing content desired by the user to a generation artificial intelligence, thereby generating and processing marketing data.

[0008] With this configuration, marketing data for marketing purposes can be generated using web content based on the acquired web page, the processing details desired by the user, and the generation artificial intelligence, thereby generating marketing data that reflects the processing details desired by the user.

[0009] In a preferred embodiment of the present invention, the generation system further includes a summarization unit, wherein the acquisition unit receives and acquires marketing source content information from a user, the summarization unit generates marketing destination summary data summarizing multiple web pages included in the website as web content based on the web pages, and generates marketing source summary data based on the marketing source content information as processing content desired by the user, and the generation unit transmits the marketing destination summary data and the marketing source summary data to the generation artificial intelligence, which generates and processes the marketing data.

[0010] With this configuration, the user can generate summary data based on the marketing source content information that the user wants to market, generate summary data based on the marketing destination content information of the marketing destination, and generate marketing data using the two summary data, thereby enabling the user to generate marketing data that combines the content of the marketing destination with the content that the user wants to market.

[0011] In a preferred embodiment of the present invention, the generation system further includes a transmission unit, wherein the acquisition unit acquires the address of the website, and the transmission unit identifies input items on a web page on the website based on the address and inputs the marketing data based on the input items.

[0012] With this configuration, the generated marketing data can be input into input fields on a web page and sent.

[0013] In a preferred embodiment of the present invention, the acquisition unit acquires, for each web page, marketing management information specifying the destination to which the marketing data is to be posted, and the generation unit transmits a template corresponding to the specified destination, web content based on the web page, and processing details desired by the user to the generation artificial intelligence, thereby generating and processing the marketing data.

[0014] With this configuration, marketing data can be generated in accordance with the template of the posting destination, making it easier to carry out more appropriate marketing activities.

[0015] In a preferred embodiment of the present invention, the generation unit transmits the template including text data in HTML format to a generation artificial intelligence, which generates the marketing data in HTML format.

[0016] With this configuration, marketing data can be generated in response to HTML format posting destinations.

[0017] In a preferred embodiment of the present invention, the generating section generates HTML format tags based on the web page and processes the marketing data to generate the marketing data.

[0018] By adopting such a configuration, it is possible to easily generate data that is easier to view. [Effects of the Invention]

[0019] The present invention can provide a novel technique for generating data that reflects the user's wishes. [Brief explanation of the drawings]

[0020] [Figure 1] 1 is a block diagram showing a configuration of a system according to the present invention; [Figure 2] FIG. 1 is a hardware configuration diagram of a system according to the present invention. [Figure 3] FIG. 1 is a functional block diagram according to an embodiment of the present invention. [Figure 4] 10 is an example of a flowchart of a sentence generation process according to an embodiment of the present invention. [Figure 5] FIG. 10 is a functional block diagram of another embodiment of the present invention. [Figure 6] 10 is an example of a flowchart of a sentence generation process according to another embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0021] (Embodiment 1) The present invention will be described in more detail below with reference to the accompanying drawings, in which preferred embodiments are shown, but which may be embodied in many different forms and are not limited to the embodiments set forth herein.

[0022] For example, although the configuration, operation, etc. of the generation system are described in this embodiment, similar effects can be achieved by an executed method, device, computer program, etc. Furthermore, the program may be stored on a recording medium. By using this recording medium, the program can be installed on, for example, a computer, thereby configuring a generation device or generation system. Here, the recording medium storing the program may be a non-transitory recording medium such as a CD-ROM.

[0023] <1. Overview of the present invention> The present invention relates to a system for generating marketing data based on the content of web pages and the processing details desired by a user. The present invention uses a well-known crawler technology to acquire the content of web pages included in a specified website, and sends web content based on the content of the web pages and the processing details desired by the user for the generated data (hereinafter referred to as the "desired processing details") to a generating artificial intelligence, thereby generating marketing data with the processed web content.

[0024] Here, the desired processing contents can include the text to be added, the language, format (explanatory text, literary text, etc.), font, and / or size of the text, instructions to change the writing style, instructions to specify the number of characters in the text, image size, and / or video broadcast time, etc. However, the desired processing contents are not limited to these, and any instructions desired by the user can be used.

[0025] Marketing data is data used by users to carry out marketing activities, and data such as sales emails, web advertisements, and SNS advertisements is generated. However, marketing data is not limited to these, and data sent to any advertising destination is generated.

[0026] Furthermore, the generative artificial intelligence is a model that learns by itself based on a huge amount of data, and generates output data based on the input of text data, image data, or audio data related to the data to be output. For example, output data generated may include text, images, and videos. The generative artificial intelligence of the present invention generates marketing data based on the input of web page-based web content and desired processing content as output data.

[0027] In the present invention, the generative artificial intelligence is a large-scale language model such as a Generative Pretrained Transformer (GPT), but there are no restrictions on its size or model structure, and it may be another language model that combines one or more models, such as a Convolutional Neural Network (CNN); a Recurrent Neural Network (RNN) such as a Long Short-Term Memory (LSTM) or a Gated Recurrent Unit (GRU); or a Transformer model.

[0028] Furthermore, the marketing data and web content based on web pages in the present invention are text data, but may also include text data written in a specific format such as CSV, and program code such as scripts, and may also be tabular data, image data, video data, audio data, etc.

[0029] <1.1. System configuration of the present invention> Fig. 1 is a block diagram showing the configuration of a system of the present invention. As shown in Fig. 1, a generation system 0 includes a generation device 1 and a user terminal device 3, and is configured to be able to communicate via a communication network NW. The communication network NW in the present invention is an IP (Internet Protocol) network, but there is no restriction on the type of communication protocol, and there is also no restriction on the type or scale of the network.

[0030] A general-purpose server computer, a personal computer, or the like can be used as the generating device 1. A smartphone, a tablet terminal, a personal computer, a wearable device, or the like can be used as the user terminal device 3. The generating device 1 may also be configured by a plurality of computers that are capable of sending and receiving information via a communication network NW or another network.

[0031] <1.2. Hardware configuration of the present invention> 2 is a hardware configuration diagram of the generation system 0. As shown in FIG. 2(a), the server 10 (generation device 1) includes a processing unit 101, a storage unit 102, and a communication unit 103.

[0032] The processing unit 101 has one or more processors such as a CPU capable of executing an instruction set, and controls the overall operation and processing of the generation device 1 by executing the generation program according to the present invention, an OS, and other applications. The storage unit 102 has a volatile memory such as a RAM capable of storing an instruction set, and a non-volatile recording medium such as an HDD or SSD capable of recording an OS and a generation program according to the present invention. The communication unit 103 has a communication interface device with the communication network NW, and controls communication with the communication network NW to input and output information.

[0033] As shown in FIG. 2(b), the terminal device 9 (user terminal device 3) includes a processing unit 91, a storage unit 92, a communication unit 93, an input unit 94, and an output unit 95.

[0034] The processing unit 91 has one or more processors such as a CPU that can execute an instruction set, and controls the overall operation and processing of the terminal device 9 by executing an OS and other applications. The storage unit 92 includes a volatile memory such as a RAM capable of storing an instruction set, and a non-volatile recording medium such as an HDD or SSD capable of recording an OS and the like. The communication unit 93 has a communication interface device for connecting to a network, and controls communication with the communication network NW to input and output information. The input unit 94 has an input device capable of input processing, such as a keyboard or a touch panel. The output unit 95 has a display device capable of display processing, such as a display.

[0035] <1.3. System Functional Configuration of First Embodiment> Fig. 3 is a functional block diagram of the generating device 1 in embodiment 1. As shown in Fig. 3, the generating device 1 includes an acquiring unit 11, a generating unit 12, a display processing unit 13, a posting unit 14, and a database 2. This is information processing performed by software (stored in a storage unit 102) specifically realized by hardware (processing unit 101).

[0036] The system configuration in this embodiment is a so-called server-client type in which the user terminal device 3 (client) receives the processing results performed by the generation device 1 (server) in response to a request from the client. Alternatively, the system may be a so-called standalone type in which a generation program is started on the client terminal. In this case, the user terminal device 3 may include some or all of the functional components (units) included in the generation device 1. For example, the user terminal device 3 may include an acquisition unit 11, a generation unit 12, a display processing unit 13, a posting unit 14, etc.

[0037] <1.3.1. Marketing Management Information> The acquisition unit 11 acquires marketing management information for managing marketing data. As the marketing management information, a marketing management ID that uniquely identifies the marketing management information, acquisition source information, and posting destination management information for each posting destination are set. As the acquisition source information, information that identifies the administrator of the source data, the address of the source data (acquisition source address), the title of the source data, the category of the source data, and image data are set. As the posting destination management information, a posting destination target flag that indicates whether or not the data is to be a posting destination, a data generation status for each posting destination, a posting status, a posting destination address, and marketing data are set. Here, web pages and / or SNSs can be used as posting destinations. Furthermore, as the acquisition source data, data from web pages and / or electronic files including text data and image data can be used.

[0038] <1.3.2. Acquisition part 11> The acquisition unit 11 acquires the acquisition source data based on the marketing management information. The acquisition unit 11 acquires the acquisition source data based on the address of the acquisition source data in the marketing management information.

[0039] <1.3.3.Generation part 12> The generation unit 12 generates marketing data based on the marketing management information and the desired processing content. The generation unit 12 transmits the marketing management information, the template, and the desired processing content to the generation artificial intelligence, and generates the marketing data. In this embodiment, the generation unit 12 transmits web content based on the web page of the acquisition source address included in the marketing management information, the template corresponding to the posting destination, and the desired processing content to the generation artificial intelligence, and generates marketing data in which the web content has been processed. Note that in this embodiment, the template and the desired processing content are stored in advance in database 2 in association with the posting destination, but they may also be input by the user each time marketing data is generated.

[0040] The generation unit 12 also updates the data generation status of the marketing data for which generation processing has been performed, where "Not yet processed" and "Completed" are set as the generation status.

[0041] <1.3.3. Display Processing Unit 13> The display processing unit 13 performs display processing for various screens such as a screen for inputting marketing management information and a screen for outputting generated results, and causes the user terminal device 3 to display the display processing results.

[0042] <1.3.4. Submission Section 14> The posting unit 14 performs a posting process for the generated marketing data. In this embodiment, the posting process refers to a process of displaying the generated marketing data on an editable screen, accepting input related to posting from a user, and posting the data. Alternatively, the posting process may be a process of directly posting the generated marketing data to a specified posting destination.

[0043] The posting unit 14 also updates the posting status of the marketing data for which the posting process has been performed, where "Not yet processed" and "Completed" are set as the posting status.

[0044] <1.4. Production method of embodiment 1> A generation method in embodiment 1 using the generation system 0 will be described with reference to Fig. 4. Fig. 4 is a flowchart showing the processing performed by the generation system 0 from acquiring marketing management information, generating marketing data, and processing the posting of the marketing data.

[0045] <1.4.1. Acquisition of marketing management information> First, in step S11 (hereinafter, "step SXX" will be simply referred to as "SXX"), the acquisition unit 11 acquires source information and destination management information for the marketing management information. In this embodiment, the acquisition unit 11 acquires the administrator name of the administrator of the source website as information identifying the administrator of the source data, the uniform resource locator (URL) of a web article (web page) included in the source website as the source address, the title of the web article as the title of the source data, the category of the web article as the category of the source data, and image data specified by the user. The acquisition unit 11 also acquires a destination target flag for each destination as destination management information.

[0046] In this embodiment, the acquisition unit 11 acquires the marketing management information by receiving a file containing the marketing management information from the user terminal device 3, but the marketing management information may also be acquired by inputting the marketing management information on an application screen displayed on the user terminal device 3.

[0047] <1.4.2. Acquisition of source data> In S12, the acquisition unit 11 acquires source data. In this embodiment, the acquisition unit 11 acquires web content based on a web article as source data based on the URL of the web article acquired in S11. Note that the acquisition unit 11 may also acquire web content based on an electronic file as source data based on the address of the electronic file as the source address.

[0048] In addition, the acquisition unit 11 acquires image data included in the marketing management information, but may also acquire image data included in a web article as web content based on the URL of the web article, or may acquire image data generated by sending the text data of the web article to the generation artificial intelligence.

[0049] <1.4.3. Marketing data generation processing> In S13, the generation unit 12 uses the generation artificial intelligence to generate marketing data. In this embodiment, the generation unit 12 transmits to the generation artificial intelligence the web content based on the web article acquired in S12, the template corresponding to the posting destination for which the posting destination target flag acquired in S11 is set, the desired processing content, and the acquired image data, and generates marketing data in which the web content has been processed.

[0050] For example, if the posting destination is a web page, the template is set to include reference text data in HTML (HyperText Markup Language), user attribute information, and links related to the web content. The desired processing content is set to include instructions to generate text data in HTML format based on the reference text data, web content, and notes.

[0051] Specifically, the following points are set: an instruction to generate HTML format tags based on text data generated based on web content (e.g., an instruction to generate HTML format title tags for each item of generated text data); an instruction to generate text data in HTML format; an instruction to process tags of reference text data in HTML format (e.g., an instruction to delete title tags); an instruction to change the format, composition type, font, and / or size, and writing style of the generated text data based on the reference text data; an instruction to change the writing style of the generated text data regardless of the reference text; an instruction to specify the location of related links, etc. User attribute information is information indicating the attributes of a user, and may be set as text data input by the user, or as text data based on the URL of the website of the company to which the user belongs.

[0052] For example, if the posting destination is an SNS, reference text data including the specifications of the posting destination and user attribute information are set as the template. Also, instructions for generating and processing text data based on the reference text data including the specifications of the posting destination, web content, and notes are set as the desired processing content.

[0053] Specifically, the following points are set as notes: an instruction to use the title of the web article as the title of the generated text data; an instruction to specify the number of characters in the generated text; an instruction to summarize the web content and generate text data; an instruction to change the format, font, and / or size, and writing style of the generated text data based on the reference text data; and an instruction to specify the location of related links. Hashtags (#) and the like can also be used as specifications for posting destinations.

[0054] In a preferred embodiment of the present invention, the generation unit 12 can automatically generate titles and tags based on web content. Specifically, when the posting destination is a web page, the generation unit 12 generates a title and HTML tags (h1, h2 tags, a tags, etc.) based on the web content. Furthermore, when the posting destination is an SNS, the generation unit 12 generates a title and / or hashtags based on the web content.

[0055] Here, as a process for generating tags with the specifications of the posting destination based on the web content, specifically, the generation unit 12 extracts one or more features (characteristic phrases) from the text of the web content using well-known language processing, and generates a tag for each feature.

[0056] In this embodiment, the generation unit 12 generates a summary of the web content, sends the summary to the generation artificial intelligence, and generates marketing data. However, in addition to the summary, text data based on the content of a web article related to the web content may also be sent to the generation artificial intelligence, and the marketing data may be generated.

[0057] <1.4.4. Updating Data Generation Status> In S14, the generation unit 12 updates the data generation status. In this embodiment, the generation unit 12 updates the posting status of the marketing data generated in S13 in the posting destination management information of the marketing management information acquired in S11 from "Not yet implemented" to "Completed," and registers the generated marketing data in the marketing management information.

[0058] <1.4.5. Posting of marketing data> In S15, the posting unit 14 posts the generated marketing data. In this embodiment, the posting unit 14 identifies a posting destination URL (posting destination address) based on the posting destination target flag of the marketing management information acquired in S11, and posts the marketing data. Specifically, the posting unit 14 identifies a posting destination URL whose posting destination target flag is "use as posting destination," and posts the marketing data.

[0059] In a preferred embodiment of the present invention, the posting unit 14 processes and posts marketing data according to the posting destination. Specifically, the posting unit 14 adds the category of the web article acquired in S11 to the text data of the marketing data. The posting unit 14 may also identify the category of the web article using a well-known natural language for the web content acquired in S12 and add the category to the text data of the marketing data. In addition, when the posting destination is an SNS, the posting unit 14 may identify a phrase to which a hashtag should be added based on the web content acquired in S12 and add text data in which the hashtag is added to the phrase to the text data of the marketing data.

[0060] <1.4.6. Updating Post Status> Then, in S16, the posting unit 14 updates the posting status of the marketing data. In this embodiment, the posting unit 14 updates the posting status of the marketing data posted in S14, among the posting destination management information of the marketing management information acquired in S11, from "Not yet" to "Completed," and registers the posting destination URL in association with the marketing data.

[0061] As described above, by executing the processes of S11 to S16, marketing data is generated in an editable manner with the content desired by the user, and the marketing data can be posted to the posting destination specified by the user. This automatically generates the article text that serves as a rough draft, significantly reducing the amount of work required compared to when the user generates the article entirely manually.

[0062] In a preferred embodiment of the present invention, the number of destinations for posting marketing management information can be increased. Specifically, a template generation unit (not shown) receives an instruction from a user to add a destination, and also receives input of a template and desired processing content from the user, and registers the input template and desired processing content in database 2 in association with the added destination.

[0063] (Embodiment 2) Next, a second embodiment will be described with reference to FIGS.

[0064] <2. Overview of Embodiment 2> In this embodiment, well-known crawler technology is used to obtain the contents of multiple web pages contained in a specified website, and web content based on the contents of the multiple web pages and desired processing content are sent to a generating artificial intelligence, thereby generating marketing data.

[0065] In the first embodiment, marketing data is generated using web content based on one web page included in a specified website. In contrast, in this embodiment, marketing data is generated using web content based on multiple web pages included in a specified website. In the following description, the system according to this embodiment operates each functional configuration, and parts common to the first embodiment will be omitted.

[0066] <2.1. System Functional Configuration of Second Embodiment> 5 is a functional block diagram of the generating device 1 in embodiment 2. As shown in FIG. 5, the generating device 1 in embodiment 2 includes a summarizing unit 15 and a transmitting unit 16 instead of the posting unit 14 in embodiment 1.

[0067] <2.1.1. Marketing Information> The acquisition unit 11 acquires marketing information related to marketing. As the marketing information, basic marketing information related to data used for transmitting marketing data, marketing source content information related to the content of the marketing source (service or product), and templates are set.

[0068] Here, the marketing source content information includes the name of the marketing source content and content designation information. The content designation information can include an address and an electronic file containing text data, image data, audio data, and / or video data from the content source to be marketed. In this embodiment, the electronic file format can be, but is not limited to, a text file, a PDF file, a PowerPoint file, or a Word file.

[0069] <2.1.2. Marketing Content Information> The acquisition unit 11 acquires marketing destination content information related to the marketing destination content. The marketing destination content information is information about the company to be marketed, and includes the company name, company email address, telephone number, company website address, etc.

[0070] <2.1.3.Generation part 12> The generation unit 12 generates and processes marketing data by transmitting web content based on multiple web pages and desired processing content to the generation artificial intelligence. The generation unit 12 generates and processes marketing data by transmitting two different summary data as web content and desired processing content to the generation artificial intelligence.

[0071] <2.1.4. Summary section 15> The summarization unit 15 summarizes the acquired multiple web pages. The summarization unit 15 generates marketing target summary data that summarizes the multiple web pages as web content based on the web pages. In this embodiment, the web content based on the web pages is text data of the web pages, but it may also be data processed based on the text data, image data, and / or video data of the web pages.

[0072] Furthermore, the summarizing unit 15 generates marketing source summary data based on the marketing source content information. The summarizing unit 15 generates marketing source summary data that summarizes the content (text data, image data, etc.) based on the content designation information of the marketing source content information as desired processing content based on the content designation information.

[0073] In this embodiment, the marketing target summary data and the marketing source summary data are text data, but they may also include text data written in a specific format such as CSV, program code such as scripts, etc., or may be tabular data, image data, video data, audio data, etc.

[0074] <2.1.5. Transmitter 16> The transmitting unit 16 transmits the marketing data. The transmitting unit 16 transmits the marketing data to the marketing destination based on the marketing destination content information.

[0075] <2.2. Production method of embodiment 2> A generation method in embodiment 2 using the generation system 0 will be described with reference to Fig. 6. Fig. 6 is a flowchart showing the processing performed by the generation system 0 from acquiring marketing information to generating marketing data and transmitting it to a marketing destination.

[0076] <2.2.1. Acquisition of marketing information> First, in S21, the acquisition unit 11 acquires marketing information. In this embodiment, the acquisition unit 11 acquires the company name, the person in charge name, the user's email address, the email title, and the name of the marketing destination as basic marketing information of the marketing information, and the marketing source name, content designation information, and a template as marketing source content information.

[0077] <2.2.2. Marketing Source Summary Data Generation Processing> In S22, the summarizing unit 15 generates and processes marketing source summary data. In this embodiment, the summarizing unit 15 transmits the text data of the marketing source content acquired based on the content designation information of the marketing source content information acquired in S21 to the generating artificial intelligence, generates and processes the marketing source summary data, and acquires it as the desired processing content.

[0078] Specifically, the summarization unit 15 generates a summary sentence (text data) based on the text data of the marketing source content information as marketing source summary data by sending the text data contained in the electronic file or URL of the content designation information, as well as the marketing source summary points, to the generation artificial intelligence.

[0079] Here, the marketing source summary points can include marketing target information, marketing source details, and summary settings. The marketing target information can be information about the target audience of the marketing destination company, such as the target market or target customers. The provided service details can be information about the services provided by the marketing destination company, such as service content, main functions, uniqueness or competitive advantages, usage scenarios or case studies, pricing, ease of implementation or the process leading up to start of use, support system, customer evaluations and feedback, and results and track record. The summary settings can be information about restrictions on the summarized text, such as a character limit (e.g., 800 characters or less).

[0080] <2.2.3. Acquisition of marketing content information> In S23, the acquisition unit 11 acquires marketing destination content information from the user. In this embodiment, the acquisition unit 11 acquires a tabular file containing the company name, company email address, telephone number, and company website URL as the marketing destination content information. The acquisition unit 11 also registers the URL of a contact form in the database 2 based on the company website URL.

[0081] Furthermore, in this embodiment, the marketing destination content information is a tabular file, and the column items of the tabular file can be unified. Specifically, a determination unit (not shown) learns the column items of the file and predetermined items as training data, and determines the predetermined items from the column items of the file using a learning model that outputs the predetermined items from the column items of the file. Then, the display processing unit 13 displays the determined items in an editable manner. Note that the determination unit may determine the predetermined items using a correspondence table in which the column items of the file and the predetermined items are associated. Here, the determined items are displayed in a marketing destination list, which will be described later.

[0082] <2.2.4. Generation of marketing target summary data> In S24, the summarization unit 15 generates and processes the marketing destination summary data. In this embodiment, the summarization unit 15 acquires a plurality of web pages based on the URL of the company site of the marketing destination content information acquired in S23, transmits web content based on the plurality of web pages to the generation artificial intelligence, and generates and processes the marketing destination summary data.

[0083] Specifically, the summarization unit 15 generates a summary (text data) based on the plurality of web pages as marketing target summary data by transmitting web content based on the plurality of acquired web pages and marketing target summary points to the generation artificial intelligence. Then, the summarization unit 15 updates the acquisition status (changes from "not yet completed"), which will be described later.

[0084] Here, the marketing target summary points can include company overview information, company sales information, and summary settings. The company overview information can be information about the company's concept, such as the company philosophy or mission, an overview of the management team, the company culture and work style, social responsibility activities, and future prospects or growth strategies. The company sales information can be information about the company's sales, such as business activities, main products or services, target markets, points of differentiation from competitors, and major achievements and results. The summary settings can be information about restrictions on the summarized text, such as a character limit (e.g., 800 characters or less).

[0085] <2.2.5. Marketing Data Generation> In S25, the generation unit 12 generates and processes the marketing data. In this embodiment, the generation unit 12 transmits the marketing source summary data generated in S22 as the desired processing content, the marketing destination summary data generated in S24 as web content, and a template to the generation artificial intelligence, and generates and processes the marketing data. Here, the template can use text data for referencing the format, style, etc. of the marketing data. Then, the generation unit 12 updates the generation status (described below) (changing from unprocessed to completed).

[0086] <2.2.6. Display of marketing list> In S26, the display processing unit 13 performs display processing of the marketing destination list and displays it on the user terminal device 3. In this embodiment, marketing data is generated for each company in the marketing information acquired in S21, and the display processing unit 13 performs display processing of the marketing destination list that displays a list of the company name, the URL of the company's website, the acquisition status of the web content, the generation status of the marketing data, the confirmation status of the marketing data, the data transmission status, a button to display the marketing data, and a button to delete the marketing data.

[0087] <2.2.7. Transmission of marketing data> Next, if the confirmation status is not confirmed in S27 (NO in S27), the process waits until the confirmation status becomes confirmed. On the other hand, if the confirmation status is confirmed (YES in S27), the process proceeds to S28.

[0088] In S28, the sending unit 16 sends the marketing data. In this embodiment, the sending unit 16 accepts the setting of a flag indicating whether or not to select a recipient, and sends the marketing data in bulk based on the flag and the email address of the company in the marketing recipient content information acquired in S23. The sending unit 16 then updates the data sending status (changing from "not ready" to "completed").

[0089] In a preferred embodiment of the present invention, marketing data can be entered into a contact form on a company website and sent. Specifically, the sending unit 16 identifies input items based on the contact form URL registered in S23, enters marketing data based on the input items, and sends the marketing data. More specifically, the sending unit 16 divides the marketing data based on the identified input items, and enters and sends the marketing data corresponding to each input item. Note that if there is only one input item, the marketing data may be entered and sent as is.

[0090] By executing the processes of S21 to S28, text data including information about the target company and the content of the product or service that the user is marketing can be sent to the target company using the generation artificial intelligence. This allows the generation artificial intelligence to automatically generate original email text tailored to each target company and automatically send it via email or form. Furthermore, since email sales can be performed with higher accuracy than with fixed email text, the number of appointments acquired can be increased and labor and costs can be reduced compared to manual work. Furthermore, by simply uploading information about the product or service that the user wants to sell and the target content information, the user can automatically generate sales text in bulk and automatically send the generated text in bulk, making it easy to send emails.

[0091] In this embodiment, the sending unit 16 sends the marketing data based on the company email address in the marketing destination content information acquired in S23. Alternatively, the acquiring unit 11 may acquire a company email address based on the company site URL in the marketing content information, and the sending unit 16 may send the marketing data based on the email address.

[0092] In addition, the generation process in this embodiment involves sending a generation request including at least web content based on a web page and desired processing details to a generation artificial intelligence outside this system, and obtaining the generated marketing data. Alternatively, the system may have a generation artificial intelligence, and the generation artificial intelligence may generate the marketing data.

[0093] In this embodiment, the summarization unit 15 may use the same or different generation artificial intelligence in the generation process of the marketing destination summary data and the marketing source summary data. The generation unit 12 may use the same or different generation artificial intelligence as the summarization unit 15.

[0094] Furthermore, in this embodiment, the display processing refers to a process in which the display processing unit 13 executes a process of generating information necessary for display, and transmits the generated information to the terminal device 9, thereby causing the terminal device 9 to display the generated information. On the other hand, in the case where the display processing unit 13 is provided in the terminal device 9 (in the case of a stand-alone type), the display processing may be a process in which the display processing unit 13 executes a process of generating necessary information, and transmits the generated information to the output unit 95 of the terminal device 9, thereby causing the output unit 95 to display the generated information. [Explanation of symbols]

[0095] 0: Generator system 1:Generation device 2: Database 3: User terminal device 10: Server 101: Processing section 102: Storage section 103: Communications Department 9: Terminal device 91: Processing section 92: Storage section 93: Communications Department 94: Input section 95: Output section 11: Acquisition part 12: Generation part 13: Display processing section 14: Submissions 15: Summary section 16: Transmitter NW: Communication network

Claims

1. 1. A generation system for generating data, comprising: The generation system includes an acquisition unit and a generation unit, the acquiring unit acquires a web page included in a specified website, The generating unit transmits the web content based on the web page and the processing content desired by the user to the generating artificial intelligence, and generates and processes the marketing data. Generation system.

2. The generation system further comprises a summarization unit; The acquisition unit receives and acquires marketing source content information from a user. the summarizing unit generates and processes marketing target summary data that summarizes a plurality of web pages included in the website as web content based on the web pages; generating and processing marketing source summary data based on the marketing source content information as processing details desired by the user; The generation unit transmits the marketing destination summary data and the marketing source summary data to the generation artificial intelligence, and processes the marketing data to generate the marketing data. The production system of claim 1 .

3. The generating system further includes a transmitting unit; The acquisition unit acquires the address of the website, The sending unit identifies an input item on a web page of the website based on the address, and inputs the marketing data based on the input item. The generation system according to claim 1 or claim 2.

4. the acquiring unit acquires, for each of the web pages, marketing management information specifying a destination to which the marketing data is to be posted; The generation unit transmits a template corresponding to the specified posting destination, web content based on the web page, and processing content desired by the user to a generation artificial intelligence, and generates and processes the marketing data. The production system of claim 1 .

5. The generation unit transmits the template including text data in HTML format to a generation artificial intelligence, and generates and processes the marketing data in HTML format. The production system of claim 4 .

6. The generating unit generates HTML tags based on the web page and processes the marketing data. The production system of claim 5 .

7. A generating program for generating data, the generation program causes a computer to function as an acquisition unit and a generation unit; the acquiring unit acquires a web page included in a specified website, The generating unit transmits web content based on the web page and processing content desired by the user to the generating artificial intelligence to generate marketing data. Generator.

8. A method for generating data, comprising: The computer retrieving a web page contained in a specified website; Sending web content based on the web page and processing content desired by the user to the generating artificial intelligence to generate marketing data; A generation method that performs the following.

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