Method for identifying content requiring replacement by using generative artificial intelligence

Abstract

A method for identifying content requiring replacement by using generative artificial intelligence, according to the present invention, is a method by which a server identifies content requiring replacement by using generative artificial intelligence, comprising the steps of: acquiring web information about a website; identifying a reference webpage on the basis of the web information; using an artificial intelligence model to identify, on the reference webpage, content requiring replacement; identifying replacement content corresponding to the content requiring replacement; and generating editable content in which the content requiring replacement is changed to the replacement content.

Description

How to identify necessary alternative content using generative AI

[0001] The present invention relates to a method for identifying necessary replacement content using generative artificial intelligence and a server supporting the same.

[0002] Recently, website content must reflect diverse user needs and legal regulations, and there is an increasing need to replace content such as images, text, and logos to protect intellectual property rights. To respond to these changes, automated content replacement technology utilizing generative AI is gaining attention.

[0003] However, existing content management tools failed to adequately reflect the specific needs of users or had limitations in effectively identifying and replacing content related to intellectual property rights.

[0004] Therefore, there is a growing demand for technology that automatically identifies and replaces necessary alternative content for intellectual property protection in accordance with user requirements.

[0005] The present invention aims to provide a method for identifying content requiring replacement on a reference webpage through an artificial intelligence model.

[0006] In addition, the present invention aims to provide a method for generating editable content by changing content requiring replacement into replacement content.

[0007] The method for identifying replacement necessary content using generative artificial intelligence according to the present invention comprises, in a method for a server to identify replacement necessary content using generative artificial intelligence, the steps of: acquiring web information regarding a website; identifying a reference webpage based on the web information; identifying replacement necessary content on the reference webpage through an artificial intelligence model; identifying replacement content corresponding to the replacement necessary content; and generating editable content that changes the replacement necessary content into the replacement content.

[0008] In one embodiment of the present invention, the alternative content required may include at least one of an image, text, logo, graphic element, video, and audio clip related to another person's intellectual property rights.

[0009] In one embodiment of the present invention, the step of identifying the replacement necessary content may include the step of obtaining reference information on intellectual property rights of others related to the reference webpage, the step of obtaining feature information from an external server based on the intellectual property reference information, and the step of identifying the replacement necessary content based on the feature information.

[0010] In one embodiment of the present invention, the step of identifying the replacement necessary content may include the step of obtaining a user-defined content area regarding the reference webpage and the step of identifying the replacement necessary content based on the user-defined content area.

[0011] In one embodiment of the present invention, the step of verifying the alternative content may include the step of verifying the content type of the content requiring replacement, the step of requesting an artificial intelligence model to generate alternative content based on the content requiring replacement and the content type, and the step of obtaining the alternative content from the artificial intelligence model.

[0012] In one embodiment of the present invention, the step of requesting the generation of alternative content may include the step of changing to a predetermined artificial intelligence model according to the content type.

[0013] In one embodiment of the present invention, a step of classifying the replacement content required into a plurality of detailed elements is performed prior to the step of requesting the creation of the replacement content.

[0014] The method may include the step of obtaining weight information for each of the plurality of detailed elements; and the step of requesting the creation of alternative content based further on the weight information.

[0015] In one embodiment of the present invention, the step of verifying the alternative content may include providing a plurality of candidate alternative content corresponding to the content requiring replacement, verifying selection information for selecting one of the plurality of candidate alternative content, and determining the alternative content based on the selection information.

[0016] In one embodiment of the present invention, in the step of identifying the alternative content, if the content requiring replacement is a character trademark, the alternative content may include a common noun corresponding to the character trademark.

[0017] The present invention has the advantage of being able to identify content requiring replacement on a reference webpage through an artificial intelligence model.

[0018] In addition, the present invention has the advantage of being able to generate and provide editable content in which the content requiring replacement is changed to replacement content.

[0019] FIG. 1 is a diagram illustrating an example of a network environment according to one embodiment of the present invention.

[0020] FIG. 2 is a diagram illustrating an example of a process for identifying alternative necessary content using generative artificial intelligence according to an embodiment of the present invention.

[0021] FIG. 3 is a diagram illustrating an example of checking content requiring replacement on a reference webpage in a method for checking content requiring replacement using generative artificial intelligence according to an embodiment of the present invention.

[0022] FIG. 4 is a diagram illustrating an example of generating editable content that changes the content requiring replacement into replacement content in a method for identifying content requiring replacement using generative artificial intelligence according to an embodiment of the present invention.

[0023] FIG. 5 is a diagram illustrating an example of requesting the generation of alternative content in a method for identifying alternative content that needs to be replaced using generative artificial intelligence according to an embodiment of the present invention.

[0024] FIG. 6 is a table illustrating an example of determining alternative content when the content requiring replacement is a word trademark, according to one embodiment of the present invention.

[0025] Hereinafter, embodiments disclosed in this specification will be described in detail with reference to the attached drawings. Identical or similar components regardless of drawing symbols are assigned the same reference number, and redundant descriptions thereof will be omitted. Furthermore, in describing the embodiments disclosed in this specification, if it is determined that a detailed description of related prior art could obscure the essence of the embodiments disclosed in this specification, such detailed description will be omitted.

[0026] Terms including ordinal numbers, such as first, second, etc., may be used to describe various components, but said components are not limited by said terms. These terms are used solely for the purpose of distinguishing one component from another.

[0027] A singular expression includes a plural expression unless the context clearly indicates otherwise.

[0028] In this application, each step described may be performed regardless of the order listed, except where it must be performed in the order listed by a particular causal relationship.

[0029] In this application, terms such as “comprising” or “having” are intended to specify the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0030]

[0031] The present invention will be described below with reference to the attached drawings.

[0032] FIG. 1 is a diagram illustrating an example of a network environment according to one embodiment of the present invention.

[0033] A network environment according to one embodiment of the present invention illustrated in FIG. 1 may include a server (10), an artificial intelligence model (20), and an external server (30).

[0034] The server (10) is a device that provides content replacement services.

[0035] The network is not limited to a specific communication method and may include communication methods utilizing communication networks that the network can include (e.g., mobile communication networks, wired internet, wireless internet, broadcasting networks) and electrical signals (analog signals, digital signals, serial signals, Pulse Width Modulation), as well as short-range wireless communication.

[0036] A server (10) according to various embodiments of the present invention may be implemented as a computer device or a plurality of computer devices that provide commands, code, files, content, services, etc. A server (10) according to one embodiment may be an electronic device capable of transmitting and receiving information by communicating with an artificial intelligence model (20) and an external server (30) through a network. Although the server (10) has been described as a single server for convenience of explanation, it may be composed of a plurality of servers, each server providing different functions or services.

[0037] The server (10) may include a processor (11), memory (12), and a communication unit (13). The processor (11) may control the overall operation of the memory (12) and the communication unit (13). According to various embodiments of the present invention, the memory (12) functions as a storage medium and may store a number of applications running on the server (10), data for the operation of the server (10), and instructions. In one embodiment, the memory (12) may be provided in hardware in the form of various storage devices such as ROM, RAM, flash drive, hard drive, etc., or in the form of web storage. The communication unit (13) may communicate with a user terminal (20) via a network in a wired or wireless manner.

[0038] The processor (11) can control the overall operation of the memory (12) and the communication unit (13) to provide a content replacement service.

[0039] The memory (12) functions as a storage medium and can store a number of applications running on the server (10), data for the operation of the server (10), and commands. In one embodiment, an application related to a content replacement service can be stored in the memory (12). This memory (12) may be provided in hardware in the form of various storage devices such as ROM, RAM, flash drive, hard drive, etc., or in the form of web storage.

[0040] The communication unit (13) can communicate with the artificial intelligence model (20) and the external server (30) via a network in a wired / wireless manner.

[0041] The server (10) of the present invention performs a method for identifying replacement necessary content using generative artificial intelligence. Specifically, the server (10) obtains web information about a website, identifies a reference webpage based on the web information, identifies replacement necessary content on the reference webpage through an artificial intelligence model (20), identifies replacement content corresponding to replacement necessary content, and generates editable content that changes replacement necessary content into replacement content.

[0042] Additionally, the server (10) obtains reference information on intellectual property rights of others related to the reference webpage, obtains feature information based on the intellectual property reference information from an external server (30), and identifies replacement necessary content based on the feature information.

[0043] Here, a website refers to a collection of related web pages accessible via the Internet. Specifically, web pages are created using web standard technologies such as HTML, CSS, and JavaScript, and can provide information to users or enable interaction.

[0044] Here, web information refers to data or content collected from a website to verify a reference webpage. Specifically, it may be an address that provides direct access to the reference webpage, screenshots or videos containing the visual layout and design of the reference webpage, or the entire code defining the page structure and style. For example, web information may include the website's URL, webpage captures, and page source.

[0045] Here, a reference webpage refers to a specific page of a website that the content replacement service references. The server (10) analyzes the design, layout, content composition, and functions of the reference webpage and can use it as reference material necessary to create editable content based on this.

[0046] Here, "content requiring replacement" refers to specific content elements of a webpage that are deemed necessary to be replaced for reasons such as the protection of intellectual property rights. Specifically, "content requiring replacement" may include images, text, logos, graphic elements, video and audio clips, etc., related to the intellectual property rights of others. For example, it may be an image or text containing a specific brand's logo or slogan.

[0047] Here, alternative content refers to content created or selected to replace the content requiring replacement. Alternative content is provided in a form that possesses visual and functional characteristics similar to the content requiring replacement but is free from legal issues. For example, non-representational general images or copyright-free public content may be used as alternative content instead of copyrighted images.

[0048] Here, editable content refers to web page templates created to allow users of the content replacement service to modify or adjust them. Specifically, editable content includes various web elements such as text, images, videos, links, and forms, and users can change these elements to suit their needs and goals.

[0049] Here, intellectual property reference information refers to information related to the intellectual property rights of others, such as trademarks, logos, and images, used to identify content requiring replacement.

[0050] Here, feature information refers to visual or functional characteristics obtained from an external server (30) based on intellectual property reference information. Specifically, the feature information may include image characteristics such as shape, color, and texture of trademark names, logos, images, etc., or text styles and layouts.

[0051]

[0052] The artificial intelligence model (20) may include a processor (21), memory (22), and a communication unit (23). Each detailed component included in the artificial intelligence model (20) performs substantially the same function as each detailed component included in the server (10).

[0053] The artificial intelligence model (20) can identify content that needs to be replaced on a reference webpage and generate replacement content.

[0054] The artificial intelligence model (20) is a form of artificial intelligence used to generate or predict new data through generative AI based on existing data. Specifically, it may be a model that learns from input data using machine learning algorithms and deep learning networks and generates new data based on that learning.

[0055]

[0056] The external server (30) refers to a server that performs the role of providing characteristic information regarding intellectual property reference information. Specifically, the external server (30) receives information related to intellectual property rights, such as trademark names or logos, analyzes the visual or functional characteristics of the information, and provides it to the server (10).

[0057] The external server (30) may include a processor (31), memory (32), and a communication unit (33). Each detailed component included in the external server (30) performs substantially the same function as each detailed component included in the server (10).

[0058]

[0059] FIG. 2 is a diagram illustrating an example of a process for identifying alternative necessary content using generative artificial intelligence according to an embodiment of the present invention.

[0060] In step (210), the server (10) obtains web information about the website.

[0061] Here, web information refers to data or content collected from a website to verify a reference webpage. Specifically, web information may be in a form that can be accessed and provided by users of a content replacement service. For example, through the URL (Uniform Resource Locator) of a webpage, a user provides the address of a desired reference webpage, and through this, the server (10) can access and analyze the page. In addition, screenshots, videos, GIF captures, PDF files showing a specific design or layout of a webpage, or the source code of a reference webpage may also be provided as web information.

[0062]

[0063] In step (220), the server (10) checks the reference webpage based on web information.

[0064] Specifically, the server (10) can identify a reference webpage within a website based on acquired web information and analyze the content, design, and layout of the page. The server (10) can directly access the reference webpage through the URL, page source code, etc. obtained from the web information, identify necessary elements, and start the analysis.

[0065] For example, the server (10) can identify the structure and visual elements of a webpage on a specific page through a URL provided by a user, analyze the composition of the content, and define it as a reference webpage. In this process, HTML code analysis, identification of images or logos, etc., can be performed.

[0066] In some cases, when identifying a reference webpage, the server (10) may automatically select a page that meets specific criteria among several pages of the website. For example, if the user does not explicitly specify a page, the server (10) may identify the most visited page on the website or a page that matches a specific keyword as the reference webpage.

[0067]

[0068] In step (230), the server (10) identifies the content that needs to be replaced on the reference webpage through the artificial intelligence model (20).

[0069] Specifically, the server (10) can use an artificial intelligence model (20) to analyze the content of a reference webpage and identify content related to intellectual property rights or content subject to copyright protection as content that needs to be replaced. Additionally, the identification of content that needs to be replaced can be performed based on learned data.

[0070] For example, the server (10) can use an artificial intelligence model (20) to identify a specific brand logo or copyright-protected image displayed on a reference webpage.

[0071] In some cases, the server (10) can identify content that needs to be replaced only when the user provides specific criteria. For example, if the user specifies that they want to replace only specific content, such as a specific logo or text, on a webpage, the server (10) can identify only that content as content that needs to be replaced through an artificial intelligence model (20) and keep the rest of the content as is.

[0072] The server (10) can obtain intellectual property reference information related to a reference webpage, obtain feature information based on the intellectual property reference information from an external server (30), and identify replacement necessary content based on the feature information.

[0073] Specifically, the server (10) can obtain intellectual property reference information (e.g., trademark name, logo, etc.) included in a reference webpage, and then request and obtain feature information regarding the reference information from an external server (30). The feature information includes visual characteristics such as the shape, color, and texture of the trademark name or logo, and the artificial intelligence model (20) can identify content that needs to be replaced based on the feature information.

[0074] For example, the server (10) can obtain a specific brand name from a user of the content replacement service and obtain characteristic information (color, texture, etc.) of a logo associated with the brand name from an external server (30).

[0075] For example, the server (10) can detect a specific logo on a reference webpage and request and obtain feature information about the logo from an external server (30). Through the feature information provided by the external server (30), the server (10) can identify content that has visual elements identical or similar to the logo on the reference webpage as content that needs to be replaced.

[0076] In some cases, the server (10) may generate feature information based on intellectual property reference information included in a reference webpage without obtaining feature information from an external server (30). For example, in situations where the server (10) does not communicate smoothly with an external server, it may generate feature information by directly analyzing the visual characteristics of a trademark name or logo included in a webpage using an artificial intelligence model (20).

[0077] The server (10) can obtain a custom content area regarding a reference webpage and identify replacement content based on the custom content area.

[0078] Specifically, the server (10) can obtain information about a specific area within a webpage designated by a user of the content replacement service and obtain the content included in that area as a user-designated content area. The user-designated content area may be a specific part of the webpage that the user has directly selected or highlighted.

[0079] For example, if a user specifies a particular ad banner area on a webpage, the server (10) can identify the ad banner content as an element related to intellectual property rights or content that needs to be replaced.

[0080]

[0081] In step (240), the server (10) identifies replacement content corresponding to the replacement required content.

[0082] Specifically, the server (10) can generate or select replacement content suitable for the type and characteristics of the replacement content. The replacement content is provided in a form that is free from legal issues and can be generated or selected to have visual and functional characteristics similar to the existing replacement content.

[0083] For example, if the server (10) detects content requiring replacement that includes a specific brand logo, it may replace the logo of the brand with a non-represented general graphic or public image. Or, in the case of copyrighted text, it may use a new sentence that conveys the same meaning but is free from copyright issues as replacement content.

[0084] In some cases, the server (10) may determine alternative content based on the user's preference. For example, it may provide several candidate alternative content corresponding to the content requiring replacement, and the user may use the content selected from among them as the alternative content. Additionally, the type or style of the alternative content may vary depending on legal requirements or the context of the content.

[0085] The server (10) can identify the content type of the content that needs to be replaced, request the artificial intelligence model to generate replacement content based on the content that needs to be replaced and the content type, and obtain the replacement content from the artificial intelligence model.

[0086] Specifically, the server (10) can identify the content type of the content that needs to be replaced, such as images, text, or videos, and then request the artificial intelligence model to generate replacement content that matches the type. The method of generation may vary depending on the content type, and the server (10) can provide an appropriate prompt to the artificial intelligence model based on the content type.

[0087] For example, if the server (10) identifies the content requiring replacement as a specific brand logo, the AI ​​model may be requested to generate a new logo design that is visually similar to it but does not have trademark issues. In the case of text content, the AI ​​model may be requested to generate a new sentence that conveys the same information but is expressed differently, thereby obtaining it as replacement content.

[0088] In addition, the server (10) can be changed to a predetermined artificial intelligence model depending on the content type.

[0089] Specifically, the server (10) can generate replacement content by selecting an artificial intelligence model optimized according to the type of replacement content. For example, for image content, an artificial intelligence model specialized in image generation can be used, and for text content, a language model specialized in text generation can be used.

[0090] For example, if the content to be replaced is an image, the server (10) can generate a similar replacement image using an image generation model such as a Generative Adversarial Network (GAN), and if the content is text, it can generate replacement text using a language model such as GPT.

[0091] In some cases, the server (10) may sequentially apply multiple artificial intelligence models depending on the complex nature of the content that needs to be replaced. For example, in the case of an infographic combining text and images, the work may be performed by first replacing the text portion with a language model and then replacing the image portion using a generative image model.

[0092] Additionally, the server (10) may divide the content requiring replacement into multiple detailed elements before the step of requesting the creation of replacement content, obtain weight information for each of the multiple detailed elements, and request the creation of replacement content based further on the weight information.

[0093] Specifically, the server (10) can divide the content requiring replacement into several sub-elements and assign weight information indicating the importance of each sub-element. This weight information is determined by reflecting the context, location, user preference, etc. of the content, and sub-elements with higher weights can be reflected with greater emphasis when generating replacement content.

[0094] For example, if the content to be replaced is an image, the server (10) can assign a higher weight to a specific part of the image (e.g., a brand logo or a key product image). This allows the AI ​​model to generate that part more precisely and similarly, ensuring that important elements are well reflected to the user when the content is replaced. In the case of text content, the title and body can be distinguished, and a higher weight can be assigned to the title to maintain similarity during generation.

[0095] In some cases, the server (10) may allow the user to input weight information directly, thereby reflecting the user's preference in the process of generating alternative content. For example, if the user specifies that they want to emphasize a specific area within an image, the server (10) may assign a higher weight to that area and request the artificial intelligence model to generate alternative content centered on that area.

[0096]

[0097] In step (250), the server (10) generates editable content that changes the replacement-needed content into replacement content.

[0098] Specifically, the server (10) can change the content that needs to be replaced into replacement content and then generate a web page template that the user can further modify or edit.

[0099] For example, the server (10) changes a copyrighted image into alternative content and then creates a webpage template containing the image so that the user can perform additional editing (e.g., resizing the image, changing its position, etc.). In the case of text content, the changed alternative content can be provided along with a text editing tool so that the user can freely modify the content or style of the text.

[0100] In some cases, the server (10) may provide a preview screen through a user interface (UI) to see if the replaced content is properly reflected. The user can view the generated editable content and, if necessary, perform additional edits or select other replacement content.

[0101]

[0102] FIG. 3 is a diagram illustrating an example of checking content requiring replacement on a reference webpage in a method for checking content requiring replacement using generative artificial intelligence according to an embodiment of the present invention.

[0103]

[0104] * Referring to FIG. 3, the illustrated reference webpage consists of various web elements containing alternative content. Specific areas (310, 320, 330, 340) of the webpage each display different types of content.

[0105] For example, area (310) represents a header section consisting of a trademark name and a logo, and area (310) can be identified as alternative necessary content related to intellectual property rights.

[0106] Area (320) is a slider section containing a main banner image and text, and the artificial intelligence model can determine whether there is a need to replace text protected by a specific trademark or copyright within the banner image.

[0107] Area (330) consists of several product recommendation cards, which include product images and simple descriptive text. In this area, elements that may have intellectual property rights issues in the product images or text descriptions can be identified as content that needs to be replaced.

[0108] Area (340) is a product list area marked "ICONIC BEST", where individual product images and prices are displayed. The server (10) analyzes the content of this area and can identify trademarks or other protected images as content that needs to be replaced.

[0109]

[0110] FIG. 4 is a diagram illustrating an example of generating editable content that changes the content requiring replacement into replacement content in a method for identifying content requiring replacement using generative artificial intelligence according to an embodiment of the present invention.

[0111] Referring to FIG. 4, an example can be seen in which necessary replacement content is changed into replacement content and provided in an editable form. Specific areas (410, 420, 430, 440) of the webpage are each changed into replacement content and displayed.

[0112] For example, area (410) was originally a header section containing a trademark name and logo, but was replaced with a new trademark name and logo through an artificial intelligence model. The modified logo was created in a form that maintains the visual characteristics of the original while not conflicting with intellectual property rights, and is provided in a state where the user can further edit this area.

[0113] Area (420) is a slider section containing a main banner image and text, in which the originally included specific trademark or copyright-protected image is displayed as a public image and newly generated text. The artificial intelligence model (20) can generate a visually consistent replacement image while maintaining the context of the original content.

[0114] Area (430) consists of several product recommendation cards, and the images and descriptive text that may have original intellectual property rights issues have been replaced with alternative content. The replaced product images and descriptions may have a style similar to the originals.

[0115] Area (440) is a product list labeled "ICONIC BEST", in which the parts containing the original trademark or protected image have been replaced with new graphics. The replaced product images may be changed to images available for public use.

[0116]

[0117] FIG. 5 is a diagram illustrating an example of requesting the generation of alternative content in a method for identifying alternative content that needs to be replaced using generative artificial intelligence according to an embodiment of the present invention.

[0118] Referring to FIG. 5, a management tool is shown for adjusting various settings in a user interface (UI) to generate replacement content. Referring to FIG. 5, the user can set the weight of the detailed elements of the content that needs to be replaced and select an artificial intelligence model suitable for each content type to request the generation of replacement content.

[0119] First, in the "Detailed Element Weight Settings Panel," users can adjust the importance of specific content elements. For example, users can distinguish detailed elements of content, such as text elements and graphic elements of a logo, and set their weights using a slider (from 0 to 100), thereby allowing the AI ​​model to give more weight to those elements when generating alternative content.

[0120] Secondly, the "Select AI Model by Content" panel provides an interface to select an optimized AI model based on the type of content requiring replacement. For example, users can select a "Natural Language Generation Model" for text content, an "Object-based Image Generation Model" for image content, and a "Style Conversion Model" for graphic elements to generate replacement content suitable for each respective content type.

[0121] Finally, in the "Similarity Settings Panel," you can adjust the similarity between the replacement content to be generated and the original content. Users can use the similarity slider to adjust the similarity with the original content from 0% to 100%, thereby controlling the similarity level of the replacement content.

[0122]

[0123] FIG. 6 is a table illustrating an example of determining alternative content when the content requiring replacement is a word trademark, according to one embodiment of the present invention.

[0124] Referring to Figure 6, a table is provided showing the method for determining replacement content when the replacement content is a word trademark. The table is organized into three categories: "word trademark," "determination process," and "determined common noun," and indicates the process through which each word trademark is determined as replacement content.

[0125] "Character trademark" refers to the original brand or trademark name, and "determination process" indicates the method used (common noun, user definition, related keywords, etc.) when the trademark was replaced. Finally, "determined common noun" refers to the expression of the replaced content as the resulting replacement.

[0126] For example, the word trademarks "GoldKick" and "QuickClean" were selected for replacement with "common nouns," becoming "Sports Shoes" and "Vacuum Cleaner," respectively. This demonstrates the result of replacing the original trademark names with common nouns.

[0127] Additionally, for "AquaPure" and "PowerBoost," the "User Defined" method was used to determine the replacement content. They were replaced with "Water Filter" and "Functional Beverage," respectively, reflecting the replacement content directly entered by the users.

[0128] "GreenGrow" and "BrightSmile" are examples of replacements made via "related keywords," being replaced by "Plant Fertilizer" and "Toothpaste," respectively. This demonstrates that the replacement content was determined based on keywords associated with the trademarks.

[0129] Finally, "Zentrix" and "Xylaro" were replaced using "neutral expressions due to unknown meaning," changing them to "Zentric Device" and "Xylaric Shield," respectively. This is the result of determining alternative content that uses similar pronunciation when the meaning of the original trademark is unknown.

[0130]

[0131] The technical features disclosed in each embodiment of the present invention are not limited to that embodiment only, and as long as they are not mutually incompatible, the technical features disclosed in each embodiment may be combined and applied to different embodiments.

[0132] Therefore, in each embodiment, the technical features are described primarily, but as long as the technical features are not mutually incompatible, they may be combined and applied together.

[0133] The present invention is not limited to the embodiments described above and the attached drawings, and various modifications and variations may be possible from the perspective of those skilled in the art to which the present invention belongs. Accordingly, the scope of the present invention should be defined by the claims of this specification as well as equivalents thereof.

Claims

1. Regarding the method by which a server identifies necessary replacement content using generative artificial intelligence, Step of obtaining web information about a website; A step of verifying a reference webpage based on the above web information; A step of identifying content requiring replacement on the above reference webpage through an artificial intelligence model; A step of identifying alternative content corresponding to the above-mentioned replacement required content; and A step comprising generating editable content by changing the above-mentioned replacement-necessary content into the above-mentioned replacement content. Method for identifying necessary alternative content using generative AI.

2. In Paragraph 1, The above-mentioned alternative content includes at least one of images, text, logos, graphic elements, videos, and audio clips related to the intellectual property rights of others. Method for identifying necessary alternative content using generative AI.

3. In Paragraph 1, The step of verifying the above-mentioned replacement necessary content is, A step of obtaining reference information on the intellectual property rights of others related to the above-mentioned reference webpage; A step of obtaining feature information based on the above intellectual property reference information from an external server; and A step including identifying the replacement necessary content based on the above feature information Method for identifying necessary alternative content using generative AI.

4. In Paragraph 1, The step of verifying the above-mentioned replacement necessary content is, A step of obtaining a custom content area regarding the above-mentioned reference webpage; and A step of identifying the replacement necessary content based on the above user content area Method for identifying necessary alternative content using generative AI.

5. In Paragraph 1, The step of verifying the above alternative content is, A step of identifying the content type of the above-mentioned replacement content; A step of requesting an artificial intelligence model to generate alternative content based on the aforementioned alternative required content and content type; and A step comprising obtaining the alternative content from the artificial intelligence model Method for identifying necessary alternative content using generative AI.

6. In Paragraph 5, The step of requesting the creation of the above alternative content is, Includes a step of changing to a predetermined artificial intelligence model according to the above content type. Method for identifying necessary alternative content using generative AI.

7. In Paragraph 5, Performed prior to the step of requesting the creation of the above alternative content, and A step of classifying the above-mentioned replacement necessary content into multiple detailed elements; A step of obtaining weight information for each of the above plurality of detailed elements; and A step of requesting the creation of the alternative content based further on the weight information. Method for identifying necessary alternative content using generative AI.

8. In Paragraph 1, The step of verifying the above alternative content is, A step of providing a plurality of candidate replacement contents corresponding to the above-mentioned replacement required content; A step of verifying selection information for selecting one of the above plurality of candidate alternative contents; and A step of determining the alternative content based on the above selection information Method for identifying necessary alternative content using generative AI.

9. In Paragraph 1, In the step of verifying the above alternative content, If the above-mentioned content requiring replacement is a word trademark, the above-mentioned replacement content includes a common noun corresponding to the above-mentioned word trademark. Method for identifying necessary alternative content using generative AI.

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