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KR-102961491-B1 - Method and device for event curation of traditional market by using a human of artificial intelligence

KR102961491B1KR 102961491 B1KR102961491 B1KR 102961491B1KR-102961491-B1

Abstract

A method according to an embodiment of the present invention comprises: a step of pre-constructing a curation learning model for providing an event curation service to a traditional market visitor by performing AI-based association learning between pre-collected visitor activity information and activity feedback information of an offline traditional market; a step of obtaining visitor identification information identified in real time based on collected data collected from one or more collection devices equipped in an offline traditional market; a step of obtaining visitor analysis information corresponding to the visitor identification information; a step of applying the visitor analysis information to the learning model to construct visitor adaptive event curation information specialized for the visitor identification information; a step of applying the visitor adaptive event curation information to an AI human learning model pre-constructed in a generative artificial intelligence manner to construct AI human interface data configured to provide a traditional market guide according to the visitor adaptive event curation information in a manner in which a virtual AI human responds with speech; and a step of providing the AI human interface data to at least one of one or more user devices or kiosk devices corresponding to the visitor identification information.

Inventors

  • 장진광
  • 채찬
  • 김학태

Assignees

  • 스쿨모아 주식회사

Dates

Publication Date
20260507
Application Date
20240624

Claims (6)

  1. In a method for processing service information executed by a computer device, A step of pre-constructing a curation learning model for providing event curation services to traditional market visitors by performing AI-based association learning between pre-collected visitor activity information and activity feedback information of offline traditional markets; A step of obtaining visitor identification information identified in real time based on collected data collected from one or more collection devices equipped in an offline traditional market; A step of obtaining visitor analysis information corresponding to the above visitor identification information; A step of applying the above visitor analysis information to the above learning model to construct visitor adaptive event curation information specialized in the above visitor identification information; A step of configuring AI human interface data configured to provide a traditional market guide based on the visitor adaptive event curation information by inputting the above visitor adaptive event curation information into a pre-built AI human learning model using a generative artificial intelligence method, so that a virtual AI human responds with speech in a manner that the virtual AI human responds; and The method includes the step of providing the above AI human interface data to at least one of one or more user devices or kiosk devices corresponding to the above visitor identification information, The above visitor analysis information is, It includes at least one of gender information, age information, language information, nationality information, store payment information, and current location information obtained from the collected data corresponding to the above visitor identification information, and The above visitor adaptive event curation information is, It includes store guide information within offline traditional markets that is adaptively determined based on curation learning weights for gender information, age information, language information, nationality information, store payment information, and current location information included in the above visitor analysis information, and The above store guide information is, It includes guidance information for a second store recommended according to the above visitor analysis information based on the first store where payment was made at the current location, and The above information includes product information, special offer information, location information, and travel route information. Service information processing method.
  2. In paragraph 1, A step of collecting visitor feedback information corresponding to the provision of the above AI human interface data; and A further step of updating the AI human learning model or the curation learning model using the above visitor feedback information Service information processing method.
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  4. In paragraph 1, The step of configuring the above AI human interface data is, A step of collecting visitor environment information including weather information and payment information corresponding to the above-mentioned visitor identification information; Based on the above visitor environment information and the above visitor adaptive event curation information, the step of configuring a guide service command prompt to be authorized to the AI human learning model; and The method includes the step of configuring the AI human interface data configured to authorize the guide service command prompt to the AI human learning model so that the AI human provides shop guide information within an offline traditional market in a manner in which the AI human responds verbally. The above AI human interface data includes information for a movement guidance service to a second store recommended in correspondence with the first store where the visitor made a payment and the visitor's location according to the visitor environment information, and The above mobility guidance service information is, Includes text or voice guidance service information that guides movement to the second store based on a reference object determined by age, gender, nationality, or language of the visitor analysis information. Service information processing method.
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  6. A computer device that executes the method according to paragraph 1.

Description

Method and device for event curation of traditional market by using a human of artificial intelligence The present invention relates to a method for providing a service and an apparatus thereof. More specifically, the present invention relates to a method and apparatus for providing a traditional market event curation service using an artificial intelligence human. Traditional markets are well known as places where one can purchase a variety of goods at affordable prices. However, compared to modern shopping malls, traditional markets are relatively less organized and offer a limited experience to consumers. Consequently, the number of people visiting traditional markets is gradually decreasing. Some existing attempts have tried to improve the environment within traditional markets and attract people through various events. However, these efforts rely primarily on passive methods and suffer from the problem that planning and executing individual events requires a significant amount of time. FIG. 1 is a drawing illustrating an example of an operating environment of a system according to one embodiment of the present specification. FIG. 2 is a block diagram for explaining the internal configuration of a computing device in one embodiment of the present specification. FIG. 3 is a block diagram illustrating a service processing unit and its configuration according to an embodiment of the present invention. FIG. 4 is a block diagram illustrating a data collection and analysis module and its detailed configuration according to an embodiment of the present invention. FIGS. 5 and 6 are flowcharts for explaining the operation of a computing device according to an embodiment of the present invention. FIGS. 7 and 8 are drawings for exemplarily explaining the event curation and interface provision process according to an embodiment of the present invention. In describing the embodiments of this specification, if it is determined that a detailed description of known configurations or functions could obscure the essence of the embodiments of this specification, such detailed description is omitted. Additionally, parts of the drawings unrelated to the description of the embodiments of this specification have been omitted, and similar parts are denoted by similar reference numerals. In the embodiments of this specification, when a component is described as being "connected," "combined," or "joined" with another component, this may include not only a direct connection but also an indirect connection in which another component exists in between. Furthermore, when a component is described as "comprising" or "having" another component, this means that, unless specifically stated otherwise, it does not exclude the other component but may include additional components. In the embodiments of this specification, terms such as first, second, etc. are used solely for the purpose of distinguishing one component from another component and do not limit the order or importance of the components unless specifically stated otherwise. Accordingly, within the scope of the embodiments of this specification, the first component in an embodiment may be referred to as the second component in another embodiment, and likewise, the second component in an embodiment may be referred to as the first component in another embodiment. In the embodiments of this specification, distinct components are intended to clearly explain their respective features and do not imply that the components are necessarily separated. That is, multiple components may be integrated to form a single hardware or software unit, or a single component may be distributed to form multiple hardware or software units. Therefore, such integrated or distributed embodiments are included within the scope of the embodiments of this specification, even if not otherwise mentioned. In this specification, the term "network" may encompass both wired and wireless networks. In this context, the network may refer to a communication network where data exchange between devices, systems, and devices can be performed, and is not limited to a specific network. The embodiments described herein may have aspects that are entirely hardware, partially hardware and partially software, or entirely software. In this specification, terms such as “unit,” “device,” or “system” refer to computer-related entities, such as hardware, a combination of hardware and software, or software. For example, in this specification, a unit, module, device, or system, etc., may be, but are not limited to, a running process, processor, object, executable, thread of execution, program, and/or computer. For example, both an application running on a computer and the computer may correspond to a unit, module, device, or system, etc., in this specification. Furthermore, in this specification, the term "device" may refer not only to mobile devices such as smartphones, tablet PCs, wearable devices, and Head Mounted Displays (HMDs), but