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KR-102963985-B1 - Method for Identifying Replaceable Content Using Generative Artificial Intelligence

KR102963985B1KR 102963985 B1KR102963985 B1KR 102963985B1KR-102963985-B1

Abstract

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.

Inventors

  • 김정환

Assignees

  • 주식회사 위븐

Dates

Publication Date
20260512
Application Date
20241025

Claims (9)

  1. Regarding the method by which a server identifies necessary alternative 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-mentioned reference webpage through a first artificial intelligence model; A step of identifying alternative content corresponding to the above-mentioned replacement required content; and The method includes the step of changing the above-mentioned replacement necessary content to the above-mentioned replacement content and providing a webpage template that includes an editing tool for editing the above-mentioned replacement content, The step of verifying the above alternative content is, A step of identifying the content type of the above-mentioned replacement required content and selecting a second artificial intelligence model corresponding to the identified content type; A step of classifying the above-mentioned replacement necessary content into multiple detailed elements; A step of assigning a weight to each of the plurality of detailed elements based on the context and location of each of the plurality of detailed elements regarding the above-mentioned replacement necessary content, or based on user input information; A step of requesting the second artificial intelligence model to generate the replacement content based on the replacement necessary content and the weight of each of the plurality of detailed elements; and The method includes the step of obtaining the alternative content from the second artificial intelligence model; and The above content types correspond to at least one of images, text, and videos, and The weight of each of the aforementioned multiple detailed elements corresponds to the importance that the corresponding detailed element must be reflected when generating the alternative content, and is assigned such that the higher the weight, the higher the degree of reflection for the corresponding detailed element. Method for identifying necessary alternative content using generative AI.
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  3. In Article 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 necessary replacement content based on the above feature information Method for identifying necessary alternative content using generative AI.
  4. In Article 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.
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  9. In Article 1, If the above-mentioned replacement content is a character trademark, the above-mentioned replacement content includes a common noun corresponding to the above-mentioned character trademark, Method for identifying necessary alternative content using generative AI.

Description

Method for Identifying Replaceable Content Using Generative Artificial Intelligence The present invention relates to a method for identifying necessary replacement content using generative artificial intelligence and a server supporting the same. 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. 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. 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. FIG. 1 is a diagram illustrating an example of a network environment according to one embodiment of the present invention. 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. 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. 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. 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. 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. 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. 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. A singular expression includes a plural expression unless the context clearly indicates otherwise. 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. 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. The present invention will be described below with reference to the attached drawings. FIG. 1 is a diagram illustrating an example of a network environment according to one embodiment of the present invention. 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). The server (10) is a device that provides content replacement services. 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. 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 artif