KR-20260062381-A - METHOD FOR PROVIDING A USER-TAILORED AI AGENT BASED ON THE UESR'S OWN DATA, AND APPARATUS THEREOF

KR20260062381AKR 20260062381 AKR20260062381 AKR 20260062381AKR-20260062381-A

Abstract

The present invention relates to a method and apparatus for providing a user-customized AI agent based on the unique data of a user, wherein the unique data of the first user terminal is provided by an AI agent providing device, the method comprising the steps of loading unique data of a first user terminal, preprocessing the unique data, extracting a service that can be provided to a user from the preprocessed data, providing the extracted service to the first user terminal, and collecting feedback data of the first user within a certain time after providing the service. The unique data of the first user terminal includes the first user's smartphone number, email ID, etc., which correspond to the first user.

Inventors

박영선

Assignees

박영선

Dates

Publication Date: 20260507
Application Date: 20241029

Claims (18)

In a method performed by an AI agent providing device, A step of loading unique data of the first user terminal; Step to preprocess unique data; A step to extract services that can be provided to the user from preprocessed data; A step of providing the extracted service to a first user terminal; and A step of collecting feedback data from the first user within a certain point in time after providing the service; The unique data of the first user terminal includes the first user's smartphone number, email ID, etc., corresponding to the first user. Method for providing a user-customized AI agent based on the user's unique data.
In a method performed by an AI agent providing device, A step of loading unique data of the first user terminal and the second user terminal; Step to preprocess unique data; Step of calculating schedule-related data from preprocessed data; A step of loading the first user's schedule data stored in the first user terminal and the second user's schedule data stored in the second user terminal; A step of setting the schedules of the first user and the second user based on schedule-related data and each user's schedule data; and The step of transmitting a set schedule to a first user terminal and a second user terminal; Method for providing a user-customized AI agent based on the user's unique data.
In paragraph 2, The step of producing schedule-related data from preprocessed data further includes the step of producing user-specified setting data from preprocessed data as schedule-related data. Method for providing a user-customized AI agent based on the user's unique data.
In paragraph 3, The step of calculating schedule-related data from preprocessed data further includes the step of calculating data within a threshold period as schedule-related data based on user-specified setting data from the preprocessed data. Method for providing a user-customized AI agent based on the user's unique data.
In paragraph 2, The method further includes the step of receiving feedback data from a first user terminal and a second user terminal regarding a set schedule. Method for providing a user-customized AI agent based on the user's unique data.
In paragraph 5, The method further includes the step of calculating a second schedule different from the set schedule based on feedback data. Method for providing a user-customized AI agent based on the user's unique data.
In paragraph 6, The method further includes the step of transmitting a second schedule different from the set schedule to a first user terminal and a second user terminal. Method for providing a user-customized AI agent based on the user's unique data.
In paragraph 1, The above AI agent providing device The AI algorithm includes an AI algorithm, wherein the AI algorithm learns based on the unique data of the first user terminal, such as the first user's smartphone number and email ID, which correspond to the first user. Method for providing a user-customized AI agent based on the user's unique data.
In paragraph 8, The above AI agent providing device It includes an AI algorithm, wherein the AI algorithm learns based on data generated from a first user terminal, and the first user terminal includes an Internet of Things terminal having internal sensors and communication functions. Method for providing a user-customized AI agent based on the user's unique data.
processor; Network interface; Memory; and It includes a computer program that is loaded into the memory and executed by the processor, The above processor is, Instructions for loading unique data of the first user terminal; Instructions for preprocessing unique data; Instructions capable of extracting services that can be provided to the user from preprocessed data; Instructions for providing the extracted service to the first user terminal; and Performing, including an instruction to collect feedback data from the first user within a certain point in time after providing the service; The unique data of the first user terminal includes the first user's email, smartphone number, etc., corresponding to the first user. An AI agent providing device that provides a user-customized AI agent based on the user's unique data.
processor; Network interface; Memory; and It includes a computer program that is loaded into the memory and executed by the processor, The above processor is, Instructions for loading unique data of the first user terminal and the second user terminal; Instructions for preprocessing unique data; Instructions to produce schedule-related data from preprocessed data; Instructions for loading the first user's schedule data stored in the first user terminal and the second user's schedule data stored in the second user terminal; Instructions for setting the schedules of the first user and the second user based on schedule-related data and each user's schedule data; and Instructions for transmitting a set schedule to a first user terminal and a second user terminal; and performing An AI agent providing device that provides a user-customized AI agent based on the user's unique data.
In Paragraph 11, An instruction that produces schedule-related data from preprocessed data is executed by further including an instruction that produces user-specified setting data from the preprocessed data as schedule-related data. An AI agent providing device that provides a user-customized AI agent based on the user's unique data.
In Paragraph 12, The instruction for producing schedule-related data from preprocessed data includes an additional instruction for producing schedule-related data from the preprocessed data based on user-specified setting data that falls within a critical period. An AI agent providing device that provides a user-customized AI agent based on the user's unique data.
In Paragraph 12, Performing by further including an instruction to receive feedback data from a first user terminal and a second user terminal regarding a set schedule. An AI agent providing device that provides a user-customized AI agent based on the user's unique data.
In Paragraph 14, Performing by further including instructions that produce a second schedule different from the set schedule based on feedback data An AI agent providing device that provides a user-customized AI agent based on the user's unique data.
In paragraph 15, Performing the method further including an instruction to transmit a second schedule different from the set schedule to the first user terminal and the second user terminal. An AI agent providing device that provides a user-customized AI agent based on the user's unique data.
In Paragraph 10, The above processor The AI algorithm includes an AI algorithm, wherein the AI algorithm learns based on the unique data of the first user terminal, such as the first user's smartphone number and email ID, which correspond to the first user. An AI agent providing device that provides a user-customized AI agent based on the user's unique data.
In Paragraph 17, The above processor It includes an AI algorithm, wherein the AI algorithm learns based on data generated from a first user terminal, and the first user terminal includes an Internet of Things terminal having internal sensors and communication functions. An AI agent providing device that provides a user-customized AI agent based on the user's unique data.

Description

Method for providing a user-tailored AI agent based on the user's own data, and apparatus thereof The present invention relates to a method and apparatus for providing a user-customized AI agent based on a user's unique data, and more specifically, to a method and apparatus for an AI agent to provide a customized service to a user by utilizing user-customized data, including a user's smartphone number and personal email ID. Starting the day with a conversation with a virtual assistant, composing messages or emails by voice while commuting in a self-driving car, or operating home appliances from outside using a smart home system are no longer surprising stories. Just over a decade ago, artificial intelligence (AI) facial recognition programs, self-driving cars, and robots capable of actual conversation or services were possible only in movies or imagination. It is no exaggeration to say that AI has now become an integral part of daily life, providing various conveniences and enjoyment while having a significant impact on the lives of modern people. Artificial intelligence began to be developed in earnest in the mid-2000s with the emergence of a new paradigm called Deep Learning in the field of machine learning. By the 2010s, significant growth occurred across various fields driven by advancements in Deep Learning, Big Data, and computing. Recent AI technologies are being utilized not only for simple response functions but also in diverse industries including healthcare, finance, manufacturing, transportation, and entertainment. In the healthcare sector, they are used for diagnosis, personalized medicine, and drug development. In the financial sector, AI algorithms are used to analyze and predict vast amounts of data and optimize investment strategies, while in the manufacturing sector, AI-based robotic processes streamline production workflows, contributing to improved efficiency. From 2022 to early 2023, new models capable of performing a wide range of tasks—from text manipulation and analysis to image generation and superior speech recognition—were launched, including ChatGPT, Stable Diffusion, Whisper, and DALL-E 2. Furthermore, public interest in artificial intelligence is having a positive impact on market growth. Notably, when ChatGPT was first launched in November 2022, it attracted over one million subscribers within just five days and created a significant stir by enabling real-time questions and answers regarding various information. Moreover, Thread, part of the social network service Instagram, took only a short time to reach one million users. Additionally, DALL-E 2, an open AI model capable of generating images from text descriptions, is capable of generating over 4 million AI images daily. According to Precedence Research data, the global artificial intelligence (AI) market was valued at approximately $454.1 billion in 2022 and is projected to reach about $2.5751 trillion from 2023 to 2032, with a compound annual growth rate (CAGR) of 19%. The U.S. AI market is estimated at $103.7 billion in 2022 and is expected to reach approximately $594 billion from 2023 to 2032, with a CAGR of 19.1%. Given the explosive growth of the global AI market, there is a need to discuss how to provide more practical services by utilizing unique data assigned to individuals and how to prepare for this rapidly expanding market. The aforementioned background technology is technical information that the inventor possessed for the derivation of the present invention or acquired during the process of deriving the present invention, and it cannot be considered technology that was known to the general public prior to the filing of the present invention. FIG. 1 illustrates an exemplary environment in which an AI agent providing device according to some embodiments of the present disclosure may be applied. FIGS. 2 and 3 are flowcharts relating to operations that can be performed in an AI agent providing device according to some embodiments of the present disclosure. FIG. 4 is a flowchart for specifically describing the step of calculating schedule-related data from preprocessed data according to some embodiments of the present disclosure. FIG. 5 is a flowchart for specifically describing the step of loading certain data on at least one user terminal according to some embodiments of the present disclosure. FIG. 6 is a flowchart for specifically describing the step of setting at least one user's schedule according to some embodiments of the present disclosure. FIG. 7 is a flowchart relating to an operation of receiving feedback data and setting a more appropriate schedule according to some embodiments of the present disclosure. FIG. 8 is a drawing of an exemplary computing device capable of implementing a device and/or system according to various embodiments of the present disclosure. Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the attached drawings. The advantages