KR102521020B1 - Method, device and system for matching galleries, artists and consumers and providing payment platform services based on artificial intelligence - Google Patents

Abstract

A device according to one embodiment performs: obtaining an artist's information, including the artist's age, artist's gender, and artist's portfolio, from the artist's terminal; from the artist's terminal, obtaining information about the work that the artist wishes to exhibit, including the name of the work, the size of the work, the tools used to create the work, the method of producing the work, and the image of the work; obtaining information on the exhibition schedule of the work from the artist's terminal; based on the exhibition schedule information of the work, extracting candidate galleries that are capable of exhibiting the work from the gallery database, and obtaining gallery information of the extracted candidate galleries; based on the gallery information of the candidate gallery, selecting the artist's information, and the work's information, the gallery that will exhibit the work; once a gallery is selected to exhibit the work, generating content for the work that provides information about the work and the artist based on the image of the work; uploading the content of your work to an online platform; when an image of a work uploaded to an online platform is selected from a consumer's terminal, the content of the work and gallery information of the gallery corresponding to the work are provided to the consumer's terminal; and when a request to purchase a work is received from the consumer's terminal through an online platform, making payment for the work based on the price matched to the work.

Description

Method, device and system for providing gallery, artist and consumer matching and payment platform services using artificial intelligence model

The following embodiments relate to a technology for matching a gallery, an artist, and a consumer using an artificial intelligence model, providing a work to a consumer, and performing payment.

As the level of cultural life of citizens increases, the types of cultural activities that people want to enjoy are also changing and diversifying. As a result, the public's need to enjoy art even if it is not a famous exhibition by a famous artist or a saga artist in a large-scale exhibition hall is also rising every year.

On the other hand, there are not a small number of new artists who are working on art but have no connections with galleries or art galleries, or who have difficulty getting opportunities to showcase their works. more prominent in the field. In order to hold an exhibition with a minimum scale, a number of artists must gather and share the cost, and in this case, the opportunity to fully showcase their work may be reduced, or the work they want may not be exhibited considering the nature of the entire exhibition. In many cases, it is not easy to even gather opinions with artists who meet conditions such as theme and budget.

In addition, consumers have the disadvantage of having to visit several galleries directly to check whether there is a work they want in order to purchase the work they want, and to visit the gallery to purchase the work they want. .

Therefore, research on technology for matching artists and galleries suitable for their works, allowing consumers to find works they want through online platforms, and purchasing works through online platforms is required.

Korean Patent Registration No. 10-2178385 Korean Patent Registration No. 10-2075833 Korean Patent Registration No. 10-2099562 Korea Patent Registration No. 10-2183979

The embodiments match an artist with a gallery suitable for the artist's work based on artificial intelligence, provide information on the work to consumers through an online platform, and proceed with payment through the platform when the consumer wants to purchase the work.

Embodiments attempt to select a gallery to exhibit a work based on artist information, work information, and gallery information.

In embodiments, the price of a work is calculated and the work is sold at the calculated price.

The embodiments attempt to select a gallery suitable for a consumer and recommend the gallery to the consumer.

The object of the present invention is not limited to the object mentioned above, and other objects not mentioned will be clearly understood from the description below.

According to an embodiment, a method for matching galleries, artists, and consumers and providing payment platform services using an artificial intelligence model includes information about the artist, including the artist's age, the artist's gender, and the artist's portfolio, from the artist's terminal. obtaining; Obtaining from the artist's terminal information about the work, including the name of the work the artist wants to exhibit, the size of the work, the tool for producing the work, the method of producing the work, and the image of the work; obtaining exhibition schedule information of the work from the artist's terminal; extracting a candidate gallery, which is a gallery capable of exhibiting the work, from a gallery database based on exhibition schedule information of the work, and obtaining gallery information of the extracted candidate gallery; selecting a gallery to exhibit the work based on the gallery information of the candidate gallery, the artist information, and the work information; generating contents of the work providing information of the work and information of the artist based on the image of the work when a gallery to display the work is selected; Uploading the content of the work to an online platform; providing contents of the work and gallery information of a gallery corresponding to the work to the consumer's terminal when the image of the work uploaded to the online platform is selected from the consumer's terminal; and when a purchase request for the work is received from the consumer's terminal through the online platform, paying for the work based on a price matched to the work.

The step of selecting a gallery to exhibit the work based on the gallery information of the candidate gallery, the artist information, and the work information, based on the gallery information of the candidate gallery, the size information of the candidate gallery, the candidate gallery Obtaining spatial information of the candidate gallery including gallery location information and interior information of the candidate gallery, based on the gallery information of the candidate gallery, information on works exhibited in the candidate gallery and display in the candidate gallery Obtaining history information of the candidate gallery including information of an artist corresponding to one work, based on space information of the candidate gallery, history information of the candidate gallery, information of the artist, and information of the work, Generating 1 input signal, applying the first input signal to a first artificial neural network outputting a score of the candidate gallery based on the first input signal, and outputting a score of the candidate gallery; and selecting a gallery to exhibit the work from among the candidate galleries based on the first output signal.

The method of providing a gallery, artist, and consumer matching and payment platform service using an artificial intelligence model further includes the step of arranging the work in the gallery, which is performed after the step of selecting a gallery to exhibit the work; The step of arranging the works includes the steps of confirming the debut date of the artist of the work, and placing the work of the artist whose debut date is the first date from the entrance of the gallery than the work of the artist whose debut date is the second date. A step of arranging, wherein the first date is an earlier date than the second date, and recommending to the consumer works uploaded to the online platform; further comprising, the work uploaded to the online platform The step of recommending to the consumer includes receiving the consumer's SNS posts from the consumer's terminal, extracting keywords related to colors from the SNS posts, and checking a first ratio, which is the ratio, to the online platform. Checking the second ratio, which is the color ratio of the uploaded work, and recommending a work based on the similarity between the first ratio and the second ratio.

The price matched to the work is obtained by obtaining the category of the work based on the tool for producing the work and the method of producing the work, extracting a work identical to the category of the work from the work database, and Among the works of the same category, the works included in the preset range are classified as works of the same type by comparing the size of the work, the price trend of the works of the same type is checked, and based on the information of the artist, the artist has moved. Obtain the sales price of the work produced by the artist, check the price trend of the artist's work based on the sales price of the work previously produced by the artist, and determine the price trend of the same type of work and the price trend of the artist's work. As a basis, a basic price of the work is set, a first weight is set based on the number of times the image of the work is selected through the online platform, and a second weight is set based on the number of works previously produced by the artist. 2 Weights are set, and the first weights and the second weights are applied to the base price of the work.

A method of providing gallery, artist, and consumer matching and payment platform services using an artificial intelligence model recommends a gallery corresponding to the consumer to the consumer's terminal before the image of the work uploaded to the online platform is selected from the consumer's terminal The step of recommending a gallery corresponding to the consumer to the consumer's terminal comprises obtaining a gallery visited by the consumer and the number of visits corresponding to the gallery from the consumer's terminal, and obtaining a gallery visited by the consumer. assigning a first score to a gallery whose number of visits corresponding to is greater than a preset first criterion, checking a gallery corresponding to the content checked by the consumer through the online platform, and confirming that the content checked by the consumer is a preset number of points. Giving a second score to a gallery that includes more than 2 criteria, confirming the location of the consumer from the consumer's terminal, comparing the location of the consumer and the location of the gallery, and comparing the location of the consumer and the location of the gallery. assigning a third score to a gallery that is closer than a preset third criterion, selecting a gallery in which the sum of the first to third scores is equal to or greater than a preset score as a recommended gallery corresponding to the consumer; and and checking the number of purchases of works displayed in the recommended gallery by the consumer among the recommended galleries and providing gallery information of the recommended gallery with the highest number of purchases to the terminal of the consumer.

The step of generating the content of the work may include determining the arrangement of the information of the author and the information of the work included in the content of the work as a first arrangement and a second arrangement that are different from each other, based on the author information, Obtaining the number of works previously produced by the artist, when the number of works previously produced by the artist is greater than a preset value, using the first array, the information of the artist, the number of works Displaying the contents of the works in information order, and when the number of works previously created by the artist is not greater than the set value, the information on the works and the information on the artist using the second arrangement. and displaying the content of the work in order.

The embodiments can induce gallery visits by matching artists and galleries suitable for their works based on artificial intelligence, providing information on works to consumers through an online platform, and providing gallery information of galleries where works are displayed. there is.

In embodiments, when a consumer wants to purchase a work, payment can be made through the platform.

In embodiments, a gallery to display a work may be selected based on artist information, work information, and gallery information.

In the embodiments, for an artist who has difficulty determining the price of a work, the price of the work may be calculated based on data and the product may be sold at the calculated price.

Embodiments may select a gallery suitable for a consumer and recommend the gallery to the consumer.

On the other hand, the effects according to the embodiments are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a diagram schematically showing the configuration of a system according to an embodiment.
2 is a flowchart illustrating a process of matching a gallery, an artist, and a consumer according to an embodiment.
3 is a flowchart illustrating a process of selecting a gallery to exhibit a work from among candidate galleries according to an embodiment.
4 is a flowchart illustrating a process of arranging works in a gallery through an artist's debut date according to an embodiment.
5 is a flowchart illustrating a process of confirming a user's preferred color and recommending a user's preferred color work according to an embodiment.
6 is a flowchart illustrating a process of selecting a price of a work according to an embodiment.
7 is a flowchart illustrating a process of matching a consumer and a gallery according to an exemplary embodiment.
8 is a flowchart illustrating a process of displaying information of a work and information of an author in content of a work according to an embodiment.
9 is an exemplary diagram of a configuration of a device according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, since various changes can be made to the embodiments, the scope of the patent application is not limited or limited by these embodiments. It should be understood that all changes, equivalents or substitutes to the embodiments are included within the scope of rights.

Specific structural or functional descriptions of the embodiments are disclosed for illustrative purposes only, and may be modified and implemented in various forms. Therefore, the embodiments are not limited to the specific disclosed form, and the scope of the present specification includes changes, equivalents, or substitutes included in the technical spirit.

Although terms such as first or second may be used to describe various components, such terms should only be construed for the purpose of distinguishing one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element.

It should be understood that when an element is referred to as being “connected” to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle.

Terms used in the examples are used only for descriptive purposes and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the embodiment belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

In addition, in the description with reference to the accompanying drawings, the same reference numerals are given to the same components regardless of reference numerals, and overlapping descriptions thereof will be omitted. In describing the embodiment, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the embodiment, the detailed description will be omitted.

The embodiments may be implemented in various types of products such as personal computers, laptop computers, tablet computers, smart phones, televisions, smart home appliances, intelligent vehicles, kiosks, and wearable devices.

1 is a diagram schematically showing the configuration of a system according to an embodiment.

Referring to FIG. 1 , a system according to an embodiment may include an artist's terminal 110, a consumer's terminal 120, and a device 200 capable of communicating with each other through a communication network.

First, a communication network may be configured regardless of its communication mode, such as wired or wireless, and may be implemented in various forms so that communication between servers and communication between servers and terminals is performed.

The artist's terminal 110 is a terminal used by an artist who wants to display his/her works in a gallery and sell them to consumers, and may be implemented as a mobile phone, desktop PC, laptop PC, tablet PC, smart phone, etc. It is not limited and may be implemented in various types of communication devices that can be connected to external servers. For example, as shown in FIG. 1 , the writer's terminal 110 may be a smart phone, and may be employed differently depending on the embodiment.

The consumer's terminal 120 is a terminal used by a consumer who wants to purchase a work, and may be implemented as a mobile phone, desktop PC, laptop PC, tablet PC, smart phone, etc., but is not limited thereto, and may be connected to an external server. It may be implemented in various types of communication devices that can be used. For example, as shown in FIG. 1 , the consumer's terminal 120 may be a smart phone, and may be employed differently depending on embodiments.

Each of the artist's terminal 110 and the consumer's terminal 120 may be configured to perform all or part of the arithmetic function, storage/reference function, input/output function, and control function of a normal computer. Each of the writer's terminal 110 and the consumer's terminal 120 may be configured to communicate with the device 200 by wire or wirelessly.

Each of the writer's terminal 110 and the consumer's terminal 120 is a person who uses the device 200 to connect to a website operated by a service provider or organization, or a person who provides a service using the device 200 Applications developed and distributed by organizations can be installed. Each of the writer's terminal 110 and the consumer's terminal 120 may be linked with the device 200 through a website or application.

In FIG. 1 and the following description, for convenience of explanation, only one artist's terminal 110 and consumer's terminal 120 are shown and described, but the number of terminals may vary according to embodiments. As long as the processing capacity of the device 200 allows, the number of terminals is not particularly limited.

The device 200 may be a server owned by a person or organization that provides services using the device 200, may be a cloud server, or may be a peer-to-peer (p2p) set of distributed nodes. may be The device 200 may be configured to perform all or some of the arithmetic function, storage/reference function, input/output function, and control function of a normal computer. The device 200 may be configured to communicate with the artist's terminal 110 and the consumer's terminal 120 by wire or wireless, and the device 200 receives information related to the artist and works produced by the artist from the writer's terminal 110. Information related to may be obtained, and the device 200 may obtain information related to the consumer from the terminal 120 of the consumer.

The apparatus 200 acquires information about the artist, information about the work, and information on the exhibition schedule of the work from the terminal 110 of the artist, and based on the information on the exhibition schedule of the work, a candidate gallery that is a gallery capable of exhibiting works from the gallery database. is extracted, gallery information of the extracted candidate gallery is obtained, a gallery to display the work is selected based on the gallery information of the candidate gallery, the artist's information and the work information, and when the gallery to display the work is selected, Based on the image of the work, the content of the work that provides information on the work and the artist is created, the content of the work is uploaded to an online platform, and the image of the work uploaded to the online platform is selected from the consumer's terminal 120. Then, the contents of the work and gallery information corresponding to the work are provided to the consumer's terminal 120, and when a purchase request for the work is received from the consumer's terminal 120 through the online platform, the price matched to the work Based on this, payment for the work is carried out.

In the present invention, artificial intelligence (AI) means a technology that imitates human learning ability, reasoning ability, perception ability, etc., and implements it with a computer, and concepts such as machine learning and symbolic logic can include Machine learning (ML) is an algorithm technology that classifies or learns the characteristics of input data by itself. Artificial intelligence technology is a machine learning algorithm that analyzes input data, learns the result of the analysis, and can make judgments or predictions based on the result of the learning. In addition, technologies that mimic the functions of the human brain, such as recognition and judgment, using machine learning algorithms, can also be understood as artificial intelligence. For example, technical fields such as linguistic understanding, visual understanding, inference/prediction, knowledge expression, and motion control may be included.

Machine learning may refer to processing that trains a neural network model using experience of processing data. Through machine learning, computer software could mean improving its own data processing capabilities. A neural network model is constructed by modeling a correlation between data, and the correlation may be expressed by a plurality of parameters. The neural network model derives a correlation between data by extracting and analyzing features from given data, and optimizing the parameters of the neural network model by repeating this process can be referred to as machine learning. For example, a neural network model may learn a mapping (correlation) between an input and an output with respect to data given as an input/output pair. Alternatively, even when only input data is given, the neural network model may learn the relationship by deriving a regularity between given data.

An artificial intelligence learning model or a neural network model may be designed to implement a human brain structure on a computer, and may include a plurality of network nodes having weights while simulating neurons of a human neural network. A plurality of network nodes may have a connection relationship between them by simulating synaptic activities of neurons that transmit and receive signals through synapses. In the artificial intelligence learning model, a plurality of network nodes can send and receive data according to a convolutional connection relationship while being located in layers of different depths. The artificial intelligence learning model may be, for example, an artificial neural network model, a convolutional neural network model (CNN), and the like. As an embodiment, the artificial intelligence learning model may be machine-learned according to methods such as supervised learning, unsupervised learning, and reinforcement learning. Machine learning algorithms for performing machine learning include Decision Tree, Bayesian Network, Support Vector Machine, Artificial Neural Network, Ada-boost , Perceptron, Genetic Programming, Clustering, etc. may be used.

Of these, CNNs are a type of multilayer perceptrons designed to use minimal preprocessing. A CNN consists of one or several convolution layers and general artificial neural network layers on top, and additionally utilizes weights and pooling layers. Thanks to this structure, CNN can fully utilize the input data with a two-dimensional structure. Compared to other deep learning structures, CNN shows good performance in both video and audio fields. CNNs can also be trained via standard back-propagation. CNNs are easier to train than other feedforward artificial neural network techniques and have the advantage of using fewer parameters.

Convolutional networks are neural networks that contain sets of nodes with bound parameters. The increasing size of available training data and the availability of computational power, combined with algorithmic advances such as piecewise linear unit and dropout training, have greatly improved many computer vision tasks. With huge data sets, such as those available for many tasks today, overfitting is not critical, and increasing the size of the network improves test accuracy. Optimal use of computing resources becomes a limiting factor. To this end, a distributed, scalable implementation of deep neural networks can be used.

2 is a flowchart illustrating a process of matching a gallery, an artist, and a consumer according to an embodiment.

Referring to FIG. 2 , first, in step S201 , the device 200 may acquire information about the artist including the artist's age, the artist's gender, and the artist's portfolio from the writer's terminal 110 . Here, the artist's portfolio may include the artist's debut date, the artist's career, the artist's career, and information on previously produced works by the artist.

In step S202, the device 200 receives information from the terminal 110 of the artist, including the name of the work the artist intends to exhibit, the size of the work, the tool used to produce the work, the way the work was produced, and the image of the work. information can be obtained. Here, the image of the work can be obtained in an image file format, and can be one of PNG, JPEG, BMP, GIF, and JPG, and can be obtained in other image file formats.

In step S203, the device 200 may obtain exhibition schedule information of the work from the terminal 110 of the artist.

Specifically, the device 200 may acquire a certain period of exhibition of the work desired by the artist from the terminal 110 of the artist.

For example, the device 200 may acquire from December 19, 2022 to December 23, 2022 as exhibition schedule information of the work from the terminal 110 of the artist.

In step S204, the apparatus 200 may extract candidate galleries, which are galleries capable of exhibiting works, from the gallery database based on the exhibition schedule information of the works, and obtain gallery information of the candidate galleries.

Specifically, the device 200 may include a gallery database or communicate with the gallery database by wire or wireless. In this case, the gallery database may store gallery information of galleries, and at this time, there may be a plurality of galleries. In addition, the gallery information of the gallery includes the name of the gallery, the information of the manager corresponding to the gallery, the location of the gallery, the size of the gallery, the interior information of the gallery, the information of works exhibited in candidate galleries, and the works exhibited in candidate galleries. Corresponding artist information, gallery operation schedule, and reservation information corresponding to the gallery operation schedule may be included.

That is, the device 200 may obtain gallery information of galleries included in the gallery database from the gallery database, and may extract a gallery operation schedule and reservation information corresponding to the gallery operation schedule based on the gallery information. , The operation schedule of the extracted gallery, the reservation information corresponding to the operation schedule of the gallery, and the exhibition schedule period of the work obtained from the artist's terminal 110 and the information of the work are compared to select a candidate gallery that is a gallery capable of exhibiting the work. and gallery information of a candidate gallery selected from the gallery database can be obtained.

In step S205, the device 200 may select a gallery to exhibit the work based on the gallery information of the candidate gallery, the artist information, and the work information.

Specifically, the apparatus 200 may apply gallery information, artist information, and work information of candidate galleries to the first artificial neural network to select a gallery to display the work through the first artificial neural network. A detailed description in this regard will be made with reference to FIG. 3 .

In step S206, when a gallery to exhibit the work is selected, based on the image of the work, the device 200 may generate content of the work providing information about the work and information about the artist.

Specifically, when a gallery to display a work is selected, the device 200 receives the image of the work obtained from the artist's terminal 110, the information on the work acquired from the artist's terminal 110, and the artist's terminal 110. It is possible to create the content of the work including the obtained artist information.

In addition, when a gallery to exhibit a work is selected, the device 200 may inform a manager corresponding to the selected gallery of information about the work, information about the artist, and information about the exhibition schedule of the work. Specifically, the device 200 may notify the manager corresponding to the selected gallery A message informing of work information, artist information, and work exhibition schedule information can be transmitted to a manager corresponding to a gallery selected through information of a manager corresponding to a gallery included in the information.

In addition, when a gallery to display a work is selected, the device 200 may match information about the work, information about the artist corresponding to the work, and gallery information of the gallery where the work will be displayed, and store them in a database included in the device 200. there is.

In step S207, the device 200 may upload the content of the work to the online platform.

Specifically, the device 200 may operate an online platform, where the online platform provides gallery information of the gallery and information on works displayed in the gallery, and enables payment for the works displayed in the gallery. As a result, the device 200 may generate content of the work and upload the content of the created work to an online platform when a gallery to display the work is selected.

In addition, the device 200 may upload the content of the work by matching it with a gallery where the work will be displayed in the process of uploading the content of the work to the online platform.

In step S208, when the image of the work uploaded to the online platform is selected from the consumer's terminal 120, the device 200 provides the content of the work and gallery information of the gallery corresponding to the work to the consumer's terminal 120. can

Specifically, the device 200 operates an online platform, and can confirm that an image of a work uploaded to the online platform is selected from the consumer's terminal 120, and the device 200 can check the online platform from the consumer's terminal 120. When the image of the work uploaded to the platform is selected, the content of the work including the information of the work, the information of the artist, and the image of the work can be provided to the consumer's terminal 120, and the device 200 matches the work. After checking the gallery, gallery information including the name and location information of the gallery matched with the work may be provided to the consumer's terminal 120 .

In step S209, when a purchase request for a work is received from the consumer's terminal 120 through the online platform, the device 200 may perform payment for the work based on a price matched to the work.

Specifically, the device 200 may operate an online platform to receive a purchase request for works uploaded to the online platform from the consumer's terminal 120, and the device 200 may operate the consumer's terminal 120 through the online platform. When a purchase request for a work is received from ), payment for the work may be performed based on a price matched to the work. Here, the price matched to the work may be a price obtained from the artist's terminal 110 or a price selected through the device 200 . A process of selecting a price matched to a work will be described in detail with reference to FIG. 6 .

Due to this, the device 200 matches the artist with a gallery suitable for the artist's work, provides information on the work to consumers through an online platform, and also induces a visit to the gallery by providing gallery information of the gallery where the work is displayed. can

3 is a flowchart illustrating a process of selecting a gallery to exhibit a work from among candidate galleries according to an embodiment.

Referring to FIG. 3 , first, in step S301, the device 200 includes information on the square footage of the candidate gallery, location information of the candidate gallery, and interior information of the candidate gallery based on the gallery information of the candidate gallery. information can be obtained

Specifically, the apparatus 200 may obtain gallery information of a candidate gallery from a gallery database, and obtain information on the number of pyeong of the candidate gallery, which is information about the number of pyeong of the candidate gallery, based on the gallery information of the candidate gallery. Based on the gallery information of the candidate gallery, it is possible to obtain location information of the candidate gallery, which is information on where the candidate gallery is located, and based on the gallery information of the candidate gallery, the interior style of the candidate gallery is modern. , Interior information of the candidate gallery, which is information on whether it is natural, Nordic, classic and antique, or vintage, can be obtained. In addition, the apparatus 200 may obtain space information of the candidate gallery including information on the square footage of the candidate gallery, location information of the candidate gallery, and interior information of the candidate gallery.

In step S302, the device 200 obtains history information of the candidate gallery, including information on works exhibited in the candidate gallery and information about artists corresponding to works exhibited in the candidate gallery, based on the gallery information of the candidate gallery. can

Specifically, the device 200 obtains gallery information of a candidate gallery from the gallery database, and based on the gallery information of the candidate gallery, information about works currently or previously exhibited in the candidate gallery, which is information about works exhibited in the candidate gallery. Information on the artist corresponding to the work exhibited in the candidate gallery, which is information about the artist corresponding to the work currently or previously exhibited in the candidate gallery, can be obtained based on the gallery information of the candidate gallery. there is. In addition, the device 200 may obtain history information of candidate galleries including information on works exhibited in candidate galleries and information on artists corresponding to works exhibited in candidate galleries.

In step S303, the apparatus 200 may generate a first input signal based on space information of candidate galleries, history information of candidate galleries, artist information, and work information.

Specifically, the apparatus 200 may perform a process of pre-processing space information of candidate galleries, history information of candidate galleries, artist information, and work information. The spatial information of the preprocessed candidate gallery, the history information of the candidate gallery, the artist information, and the work information can be used as inputs to the first artificial neural network, or input can be generated through normal processing to remove unnecessary information. there is.

In step S304, the apparatus 200 may generate a first output signal by applying the first input signal to a first artificial neural network that outputs scores of candidate galleries based on the first input signal. Here, the score of the candidate gallery is a degree of matching between the candidate gallery, the work, and the artist, and may be a real value between 0 and 1.

Here, the apparatus 200 obtains spatial information of a gallery of training candidates, history information of a gallery of training candidates, information of a training artist, information of a training work, first output signals, and scores of a gallery of training candidates, Based on this, the first artificial neural network may be trained in advance. The apparatus 200 may generate a first output signal by applying a first input signal to a first artificial neural network that has been trained in advance. In this case, the scores of the training candidate gallery may be scores of candidate galleries respectively corresponding to spatial information of the training candidate gallery, history information of the training candidate gallery, training artist information, and training work information. As for the first output signals, the first training input signals generated based on the spatial information of the training candidate gallery, the history information of the training candidate gallery, the training artist information, and the training work information are applied to the first artificial neural network. may be output signals generated by

According to an embodiment, the apparatus 200 obtains training outputs by applying space information of a gallery of training candidates, history information of a gallery of training candidates, information of a training artist, and information of a training work to a first artificial neural network. can The apparatus 200 may train the first artificial neural network based on the training outputs, the first output signals, and the scores of the training candidate gallery. The apparatus 200 may generate a first output signal by applying a first input signal to a first artificial neural network that has been trained in advance.

The apparatus 200 may train the first artificial neural network based on the training outputs, the first output signals, and the scores of the training candidate gallery. The apparatus 200 may train the first artificial neural network by calculating training errors corresponding to the training outputs and optimizing a connection relationship of nodes in the first artificial neural network to minimize the training errors. The apparatus 200 may extract scores of candidate galleries from space information of candidate galleries, history information of candidate galleries, artist information, and work information by using the first artificial neural network for which learning has been completed.

In step S305, the device 200 may select a gallery to exhibit the work from among the candidate galleries based on the first output signal.

For example, the device 200 obtains 0.8 as the score of 'A' gallery, 0.3 as the score of 'B' gallery, 0.5 as the score of 'C' gallery, and 0.6 as the score of 'D' gallery through the first artificial neural network. When is extracted, the device 200 may select the 'A' gallery with the highest gallery score as a gallery to exhibit the work.

Due to this, the device 200 may select a gallery to exhibit works through an artificial neural network.

4 is a flowchart illustrating a process of arranging works in a gallery through an artist's debut date according to an embodiment.

Referring to FIG. 4 , first, in step S401, the device 200 may check the artist's debut date of the work.

Specifically, the device 200 may extract the artist's portfolio through the artist's information obtained from the artist's terminal 110, and check the artist's debut date of the work through the artist's debut date included in the artist's portfolio. can

That is, the device 200 can check the works matched with the gallery from the database included in the device 200, check the information of the artist corresponding to each work, and check the debut date of the artist of each work.

In step S402 , the apparatus 200 may place the works of the artist whose debut date is the first date from the entrance of the gallery than the works of the artist whose debut date is the second date. Here, the first date is a date earlier than the second date.

Specifically, the device 200 can check works of the same exhibition schedule information in the same gallery, check the debut date of the artist of each work, and replace the works of the artist whose debut date is the first date with the artist whose debut date is the second date. It can be placed farther from the gallery entrance than the works of

For example, the works exhibited at Gallery 'A' from December 19, 2022 to December 23, 2022 include 'A' and 'I', and the artist's debut date of 'A' is 2019. If it is December 1 and the artist debut date of 'I' work is August 1, 2022, the device 200 confirms that the artist debut date of 'I' work is earlier than the artist debut date of 'I' work 'A' works can be placed further from the entrance of 'A' gallery than 'B' works.

In addition, the apparatus 200 matches the arrangement of the works set through the above process with the information of the work, the information of the artist corresponding to the work, and the gallery information of the gallery to display the work, and stores the arrangement in the database included in the device 200. You can save more.

For this reason, the device 200 checks the artist debut dates of works exhibited on the same schedule in the same gallery, and arranges the works of artists with slow debut dates close to the entrance door according to the debut dates, thereby attracting new artists from consumers watching the exhibition. It has the effect of allowing you to see evenly the works of.

5 is a flowchart illustrating a process of confirming a user's preferred color and recommending a user's preferred color work according to an embodiment.

Referring to FIG. 5 , first, in step S501 , the device 200 may receive a consumer's SNS post from the consumer's terminal 120 . Here, the SNS may include a blog, Instagram, and the like, and the consumer's SNS post may be a post written and uploaded by the consumer on a blog or Instagram owned by the consumer. In addition, the device 200 may access a website including the user's SNS to acquire a post written by the consumer through the consumer's SNS.

For example, the device 200 sends a message from the consumer's terminal 120 to the consumer's SNS, 'I love the blue light, and my sky, which I looked up from the window, became the sea yesterday, became a forest today, and what else will happen tomorrow? When I want to cry, I suddenly looked up at the sky, and now it becomes a house, a lake, and a field.'

In step S502, the device 200 may extract keywords related to color from SNS posts and check a first ratio corresponding to the color.

Specifically, the device 200 may extract keywords matching colors from consumer SNS posts using a keyword-color matching database. At this time, the keyword-color database is a database in which keywords and colors are matched and stored. , may be included in the device 200, and keywords and colors may be matched and stored in a keyword-color database according to an input of a manager who manages the device 200. For example, in a keyword-color database, sea-blue, lake-blue, apple-red, field-green, forsythia-yellow, sky-blue, sand-brown, lemon-yellow, forest-green, persimmon-orange, snow -White, tangerine-orange, fire-red, etc. may be matched and stored, and the number of keyword-colors stored in the keyword-color database may gradually increase as the embodiment is performed.

In addition, the device 200 may extract a keyword matching a color from among keywords included in the consumer's SNS post received from the consumer's terminal 120 by using the keyword-color matching database.

For example, the device 200 sends a message from the consumer's terminal 120 to the consumer's SNS, 'I love the blue light, and my sky, which I looked up from the window, became the sea yesterday, became a forest today, and what else will happen tomorrow? My sky, which I suddenly looked up at when I wanted to cry, now becomes a house, a lake, and a field.', and entered the keyword-color database as sea-blue, lake-blue, apple-red, field-green, and forsythia-yellow. , sky-blue, sand-brown, lemon-yellow, forest-green, persimmon-orange, snow-white, tangerine-orange, and fire-red are matched and stored, the device 200 displays the consumer's SNS posts and From the keyword-color database, among the keywords included in the consumer's SNS posts, keywords matching colors include sky matching blue, sea matching blue, forest matching green, lake matching blue, and fields matching green. can be extracted.

In addition, the device 200 may extract a keyword matched with a color from among keywords included in the consumer's SNS post, and identify a first color matched to the first keyword and a second color matched to the second keyword. . In this case, the first keyword is a keyword matched with the first color, and the number of keywords included in the first keyword may be one or a plurality of keywords. The second keyword is a keyword matched with the second color, and the keyword included in the second keyword may be one or a plurality of keywords. In addition, for convenience of description, only the first keyword, the second keyword, the first color, and the second color have been described, but more keywords such as the third keyword and the fourth keyword may be included, and more keywords such as the third color and the fourth color may be included. Many colors may be included.

For example, the device 200 sends a message from the consumer's terminal 120 to the consumer's SNS, 'I love the blue light, and my sky, which I looked up from the window, became the sea yesterday, became a forest today, and what else will happen tomorrow? My sky, which I suddenly looked up at when I wanted to cry, now becomes a house, a lake, and a field.', and entered the keyword-color database as sea-blue, lake-blue, apple-red, field-green, and forsythia-yellow. , sky-blue, sand-brown, lemon-yellow, forest-green, persimmon-orange, snow-white, tangerine-orange, and fire-red are matched and stored, the device 200 displays the consumer's SNS posts and From the keyword-color database, among the keywords included in the consumer's SNS posts, keywords matching colors include sky matching blue, sea matching blue, forest matching green, lake matching blue, and fields matching green. After extracting, it is possible to check blue, which is a first color matched with the first keyword, sky, sea, and lake, and green, which is a second color, matched with forest, field, which is a second keyword.

In addition, the device 200 may check a first ratio, which is a ratio between a first keyword matched with a first color included in a consumer's SNS post and a second keyword matched with a second color.

For example, the device 200 sends a message from the consumer's terminal 120 to the consumer's SNS, 'I love the blue light, and my sky, which I looked up from the window, became the sea yesterday, became a forest today, and what else will happen tomorrow? My sky, which I suddenly looked up at when I wanted to cry, now becomes a house, a lake, and a field.', and entered the keyword-color database as sea-blue, lake-blue, apple-red, field-green, and forsythia-yellow. , sky-blue, sand-brown, lemon-yellow, forest-green, persimmon-orange, snow-white, tangerine-orange, and fire-red are matched and stored, the device 200 uses the first keyword, sky , Blue, the first color matched with the sea and lake, and green, the second color matched with the second keyword, forest and field, confirmed that the number of first keywords included in the user's preferred text information is four. And, by confirming that the number of second keywords is two, it is possible to confirm that the first ratio, which is the ratio of the first keyword to the second keyword, is 4:2.

In step S503, the device 200 may check the second ratio, which is the color ratio of the work uploaded to the online platform.

Specifically, the device 200 may check the second ratio, which is the color ratio of the work uploaded to the online platform. At this time, the device 200 obtains the information of the work from the artist's terminal 110, A second ratio, which is a color ratio, may be additionally obtained, and the device 200 checks pixels of the work through the image of the work, checks color information through the pixels of the work, and color information based on the image of the work. Through the information, it is also possible to check the second ratio, which is the color ratio of the work. In this case, the color information may include RGB color information, brightness information, and saturation information, but is not limited thereto. In addition, a method of acquiring color information by identifying pixels of a work through an image of the work may be performed by a conventional method.

In step S504, the device 200 may recommend a work based on the similarity between the first ratio and the second ratio.

Specifically, the device 200 may generate a similarity by comparing the first ratio obtained from the consumer's SNS posting with the second ratio, which is the color ratio of the work, and if the similarity is higher than the preset ratio, the corresponding work is sent to the consumer. It can be recommended to the terminal 120 of, and if the similarity is not higher than a preset ratio, the corresponding work may not be recommended to the consumer.

Due to this, the device 200 may check the consumer's preferred color from the consumer's SNS post, and recommend a work that the consumer is interested in based on the corresponding color.

6 is a flowchart illustrating a process of selecting a price of a work according to an embodiment.

Referring to FIG. 6 , first, in step S601 , the apparatus 200 may acquire a category of a work based on a tool for producing the work and a method for producing the work.

Specifically, when the work for which the price of the work is to be selected is the first work, the device 200 may obtain information on the first work from the terminal 110 of the artist, and through the information on the first work, the first work. The tool that produced the work and the method of producing the first work can be extracted. Also, the device 200 may obtain a category of the first work based on a tool for producing the first work and a method for producing the first work. Here, the category of work can be divided into painting, sculpture, digital art, drawing, and fiber art, and other categories can also be included.

In step S602, the device 200 extracts a work having the same category as the work from the work database, compares the size of the work among the works having the same category, and classifies works included in a preset range as works of the same type. there is.

Specifically, the device 200 may include a work database or communicate with the work database by wire or wirelessly, where the work database stores information related to the work, and the information related to the work is obtained from the terminal of the artist. Information, the category of the work acquired through the work information, and the price at which the work was sold may be included.

That is, the device 200 may extract a second work that is the same category as the first work from the work database, compare the size of the first work with the size of the second work, and compare the size of the first work with the size of the second work. 2 Check whether the difference in size of the work is within the preset range, and if the difference between the size of the first work and the size of the second work is within the preset range, the second work can be classified as the same type of work. .

In step S603, the device 200 may check the price trend of works of the same type.

Specifically, the device 200 can check the price trend of works of the same type by checking the selling price of the works corresponding to the works selected as works of the same type.

In step S604, the device 200 acquires the selling price of the previously produced work by the artist based on the artist's information, and determines the price trend of the artist's work based on the selling price of the previously produced work by the artist. You can check.

Specifically, the device 200 may extract the artist's portfolio based on the artist's information acquired from the artist's terminal 110, and obtain information on previously produced works by the artist through the artist's portfolio. can In addition, the device 200 may acquire the selling price of the previously produced work by the artist based on the information on the previously produced work by the artist, and check the selling price of the previously produced work by the artist. You can check the price trend of the work.

In step S605, the device 200 may set the basic price of the work based on the price trend of the same type of work and the price trend of the artist's work.

Specifically, the device 200 may generate a first expected price through price trends of works of the same type, and generate a second expected price through price trends of works by an artist. Also, the device 200 may set the basic price of the work as an average value of the first expected price and the second expected price, based on the first expected price and the second expected price.

In step S606, the device 200 may set a first weight based on the number of times the image of the work is selected through the online platform.

Specifically, the device 200 operates an online platform to confirm that an image of a work uploaded to the online platform is selected from the consumer's terminal 120, and the device 200 operates the online platform from a plurality of consumer terminals. A first weight may be set based on the number of times an image of a work uploaded to is selected. At this time, the device 200 may set the first weight higher as the number of times the image of the work is selected through the online platform increases, and set the first weight lower as the number of times the image of the work is selected through the online platform decreases.

In step S607, the device 200 may set a second weight based on the number of previously produced works by the artist.

Specifically, the device 200 obtains the artist's information from the artist's terminal 110, extracts the artist's portfolio based on the artist's information, and based on the artist's portfolio, works previously produced by the artist. It is possible to check the information of and obtain the number of previously produced works by the artist based on the information on the previously produced works by the artist. In addition, the device 200 may set the second weight based on the number of previously produced works by the artist. At this time, the device 200 may set the second weight higher as the number of previously produced works by the artist increases, and may set the second weight lower as the number of previously produced works decreases.

In step S608, the device 200 may select a price matched to the work by applying the first weight and the second weight to the basic price of the work.

Due to this, the device 200 can select a price suitable for the work by checking the price trend of the same type of work and the price trend of the artist's work previously produced by the artist who produced the work. .

7 is a flowchart illustrating a process of matching a consumer and a gallery according to an exemplary embodiment.

Referring to FIG. 7 , first, in step S701 , the device 200 may obtain a gallery visited by the consumer and the number of visits corresponding to the gallery from the terminal 120 of the consumer.

Specifically, the device 200 may obtain galleries the consumer has visited from the consumer's terminal 120, and the device 200 may obtain a gallery corresponding to the gallery the consumer has visited from the consumer's terminal 120. The number of visits can be obtained.

In step S702, the device 200 may assign a first score to a gallery in which the number of visits corresponding to the gallery visited by the consumer is greater than the first criterion. Here, the first criterion is a preset criterion and may vary according to embodiments.

Specifically, the device 200 may obtain the number of visits corresponding to galleries visited by the consumer from the consumer's terminal 120, and may assign a first score to a gallery whose number of visits is greater than a preset first criterion. . In addition, when there are several galleries whose number of visits is greater than the first criterion, the apparatus 200 may give a first score as a value proportional to the number of visits.

In step S703, the device 200 may check the content checked by the consumer through the online platform and check a gallery matching the content.

Specifically, the device 200 can operate an online platform, check the content of the work selected and confirmed by the consumer from the terminal 120 of the consumer through the online platform, and check the gallery matched to the content of the work checked by the consumer. there is.

In step S704 , the device 200 may assign a second score to a gallery in which more content checked by the consumer is included than the second criterion. Here, the second criterion is a preset criterion and may vary according to embodiments.

Specifically, the device 200 may obtain the content of the work checked by the consumer, check a gallery that matches the content of the work checked by the consumer, and confirm that the content of the work checked by the consumer corresponding to the gallery is greater than the second criterion. A second score may be given to the included gallery. In addition, when there are several galleries in which the content of the work checked by the consumer is greater than the second criterion, the device 200 may assign a second score in proportion to the content of the work checked by the consumer corresponding to the gallery. .

In step S705, the device 200 may check the location of the consumer from the consumer's terminal 120, check the location of the gallery through gallery location information, and compare the location of the consumer with the location of the gallery.

Specifically, the device 200 may obtain the location of the consumer where the consumer is currently located from the consumer's terminal 120 . The device 200 may check the location of the gallery through the location information of the gallery included in the gallery information of the gallery. Also, the device 200 may compare the location of the consumer and the location of the gallery, and may generate a distance by comparing the location of the consumer and the location of the gallery.

In step S706, the device 200 may give a third score to a gallery in which the location of the consumer and the location of the gallery are closer than the third criterion. Here, the third criterion is a preset criterion and may vary according to embodiments.

Specifically, the device 200 may obtain the location of the consumer and the location of the gallery, compare the location of the consumer and the location of the gallery to generate a distance, and give a third score to a gallery having a distance closer than the third criterion. can In addition, as a result of comparing the location of the consumer and the location of the gallery, the device 200 compares the location of the consumer and the location of the gallery, and when there are several galleries closer than the third criterion, the third score is obtained as a value inversely proportional to the distance generated through the location of the consumer and the gallery. can be granted.

For example, if the user's contact information included in the user-related information ends with an odd number, the device 200 uses a first array in the order of the user's name, the user's contact information, and an image or text that the user wants to engrave on the bag. Accordingly, information related to the user may be displayed in the second part.

In step S707, the device 200 may select a recommended gallery corresponding to a gallery consumer whose sum of the first to third scores is equal to or greater than a preset score. Here, the preset score is a preset value and may vary according to embodiments.

According to an embodiment, the highest scores of each of the first score, the second score, and the third score may be set to the same score, but the highest score may be set differently according to settings. For example, the highest scores of the first score, the second score, and the third score may all be equally set to 10 points, the highest score of the first score is 15 points, and the highest score of the second score is 10 points. , the highest score of the third score may be set differently to 5 points.

In step S708, the device 200 may check the number of purchases of works matched with the recommended gallery among the recommended galleries by the consumer, and provide gallery information of the recommended gallery with the highest number of purchases to the consumer's terminal 120. .

Specifically, when several recommended galleries are selected, the device 200 may select only one of the recommended galleries and provide gallery information of the selected recommended gallery to the consumer's terminal. At this time, the device 200 may select several recommended galleries. In order to select one of the galleries, the number of purchases of works matched with the recommended galleries by the consumer may be checked, and gallery information of the recommended gallery with the greatest number of purchases may be provided to the consumer's terminal 120 .

In addition, when only one recommended gallery is selected, the device 200 may provide gallery information of the recommended gallery selected through steps S701 to S707 to the consumer's terminal 120 without performing step S708.

Accordingly, the device 200 may recommend a gallery to the consumer by identifying a gallery that the consumer has visited in the past, a gallery where works of interest to the consumer are exhibited, and a gallery close to the consumer's location.

8 is a flowchart illustrating a process of displaying information of a work and information of an author in content of a work according to an embodiment.

Referring to FIG. 8 , first, in step S801 , the device 200 may determine an arrangement of author information and work information included in the content of the work as a first arrangement and a second arrangement that are different from each other. Here, the first arrangement may be an arrangement in which author information is placed in front and work information is placed in back, and the second arrangement may be an arrangement in which work information is placed in front and artist information is placed in back.

In step S802, the device 200 may obtain the number of previously produced works by the artist based on the artist information.

Specifically, the device 200 obtains the artist's information from the artist's terminal 110, extracts the artist's portfolio based on the artist's information, and based on the artist's portfolio, works previously produced by the artist. It is possible to check the information of and obtain the number of previously produced works by the artist based on the information on the previously produced works by the artist.

In step S803, the device 200 may check whether the number of previously produced works by the artist is greater than a preset value. Here, the setting value is a preset value and may vary depending on the implementation.

In step S803, when the number of previously produced works by the artist is greater than the set value, in step S804, the device 200 may display the contents of the work in the order of information about the artist and information about the work using the first array. there is.

Specifically, when it is confirmed that the number of previously produced works by the artist is greater than a preset value, the device 200 determines that the author of the corresponding work is a famous artist, and information about the artist and information of the work in the contents of the work. It can be displayed in the content of the work by using the first array in which information of the artist is placed in front and information of the work is placed in the back.

In step S803, if the number of previously produced works by the artist is not greater than the set value, in step S805, the device 200 displays the contents of the work in the order of information about the work and then information about the artist using the second array. can

Specifically, when it is confirmed that the number of previously produced works by the artist is not greater than a preset value, the device 200 determines that the author of the corresponding work is not a well-known artist, and information and information about the artist in the contents of the work. The information of the work may be displayed in the contents of the work using a second arrangement in which the information of the work is placed in front and the information of the artist is placed in the back.

Accordingly, the device 200 may first provide desired information to consumers by arranging author information and work information included in the contents of works differently according to the number of works previously produced by the artist.

In addition, by arranging the information of the artist and the information of the work included in the content of the work in various ways according to the order and arrangement method, it is possible to produce sensuous content rather than uniform content.

Meanwhile, the device 200 may guide, through the terminal 120 of the consumer, the optimal viewing path for the product of the artist the consumer is interested in and the work the consumer is interested in using AR.

Specifically, the device 200 may obtain an artist of interest to the consumer through the consumer's terminal 120, and the device 200 may obtain a work selected from the consumer's terminal as a work of interest to the consumer through an online platform. can do.

When it is confirmed that the consumer's terminal 120 is located in the gallery, the device 200 may extract gallery information of the corresponding gallery from the database, and based on the gallery information of the corresponding gallery, the product of the artist the consumer is interested in and the consumer Among the works of interest, a work exhibited in the corresponding gallery may be selected as a required viewing work, and information on the required viewing work may be received from the database. In this case, the information on the required viewing works may include location information of the required viewing works, which is information on where the required viewing works are located in the gallery.

Also, the device 200 may acquire the current location of the consumer in the gallery from the consumer's terminal 120 . The device 200 checks the consumer's current location and location information of the required viewing works in the gallery, and displays a display guiding the optimal viewing path based on the consumer's current location and the location information of the required viewing works. ) can be provided.

9 is an exemplary diagram of a configuration of a device according to an embodiment.

Device 200 according to an embodiment includes a processor 210 and a memory 220 . The processor 210 may include at least one device described above with reference to FIGS. 1 to 8 or may perform at least one method described above with reference to FIGS. 1 to 8 . A person or organization using the device 200 may provide services related to some or all of the methods described above with reference to FIGS. 1 to 8 .

The memory 220 may store information related to the methods described above or may store a program in which the methods described below are implemented. Memory 220 may be volatile memory or non-volatile memory.

The processor 210 may execute a program and control the device 200 . Program codes executed by the processor 210 may be stored in the memory 220 . The device 200 may be connected to an external device (eg, a personal computer or network) through an input/output device (not shown) and exchange data through wired/wireless communication.

The embodiments described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, the devices, methods and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA). array), programmable logic units (PLUs), microprocessors, or any other device capable of executing and responding to instructions. A processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. The device can be commanded. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

As described above, although the embodiments have been described with limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (3)

In the method of providing gallery, artist and consumer matching and payment platform services using an artificial intelligence model, performed by a device,
acquiring information about the artist, including the artist's age, the artist's gender, and the artist's portfolio, from the artist's terminal;
Obtaining from the artist's terminal information about the work, including the name of the work the artist wants to exhibit, the size of the work, the tool for producing the work, the method of producing the work, and the image of the work;
obtaining exhibition schedule information of the work from the artist's terminal;
extracting a candidate gallery, which is a gallery capable of exhibiting the work, from a gallery database based on exhibition schedule information of the work, and obtaining gallery information of the extracted candidate gallery;
selecting a gallery to exhibit the work based on the gallery information of the candidate gallery, the artist information, and the work information;
generating contents of the work providing information of the work and information of the artist based on the image of the work when a gallery to display the work is selected;
Uploading the content of the work to an online platform;
providing contents of the work and gallery information of a gallery corresponding to the work to the consumer's terminal when the image of the work uploaded to the online platform is selected from the consumer's terminal; and
When a purchase request for the work is received from the consumer's terminal through the online platform, performing payment for the work based on a price matched to the work;
Selecting a gallery to exhibit the work based on the gallery information of the candidate gallery, the artist information, and the work information
Acquiring spatial information of the candidate gallery, including area information of the candidate gallery, location information of the candidate gallery, and interior information of the candidate gallery, based on the gallery information of the candidate gallery;
Obtaining history information of the candidate gallery, including information on works exhibited in the candidate gallery and information about an artist corresponding to the work exhibited in the candidate gallery, based on the gallery information of the candidate gallery;
generating a first input signal based on space information of the candidate gallery, history information of the candidate gallery, artist information, and work information;
Generating a first output signal outputting a score of the candidate gallery by applying the first input signal to a first artificial neural network outputting a score of the candidate gallery based on the first input signal; and
Selecting a gallery to exhibit the work from among the candidate galleries based on the first output signal;
A step of arranging the work in the gallery, which is performed after the step of selecting a gallery to exhibit the work; further comprising,
The step of arranging the work in the gallery,
Confirming the debut date of the artist of the work, and
Arranging works of artists whose debut date is the first date from the entrance of the gallery than works of artists whose debut date is the second date;
The first date is a date earlier than the second date,
Further comprising: recommending the work uploaded to the online platform to the consumer;
The step of recommending the work uploaded to the online platform to the consumer,
Receiving SNS posts of the consumer from the terminal of the consumer;
Extracting keywords related to colors from the SNS posts and checking a first ratio, which is the ratio;
Checking the second ratio, which is the color ratio of the work uploaded to the online platform, and
Including the step of recommending a work based on the degree of similarity between the first ratio and the second ratio,
A method for providing gallery, artist and consumer matching and payment platform services using an artificial intelligence model. delete delete

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