KR102642350B1 - Device customer interaction-based advertising effect measurement and real-time reflection signage solution - Google Patents

Abstract

A method and device for measuring advertising effectiveness based on customer interaction and providing a real-time reflection signage solution performed by a digital signage device are disclosed. In one embodiment of the present disclosure, a method for measuring customer interaction-based advertising effects and providing a real-time reflection signage solution, performed by a digital signage device, is performed by measuring the advertising effect based on the digital signage device while playing a plurality of advertising contents. Monitoring a plurality of users who view each of the plurality of advertising contents within a predefined range; Obtaining recognition data for the plurality of users by inputting images taken of the plurality of users into a first artificial intelligence (AI) model; Obtaining popularity data for each of the plurality of advertising contents based on information related to the plurality of advertising contents and recognition data for the plurality of users; and determining a playback order of the plurality of advertisement contents based on popularity data for the plurality of advertisement contents.

Description

Customer interaction-based advertising effect measurement and real-time reflection signage solution {DEVICE CUSTOMER INTERACTION-BASED ADVERTISING EFFECT MEASUREMENT AND REAL-TIME REFLECTION SIGNAGE SOLUTION}

This disclosure relates to relocation transmission technology according to advertising preference, and more specifically, to a signage solution that measures advertising effectiveness based on customer interaction and reflects it in real time.

Digital Signage refers to a communication tool that can induce and derive user experience by delivering advertising and marketing information from various companies. As display and information communication technologies have recently developed, various types of information and content are being transmitted through digital signage.

Digital signage has the advantage of being able to provide information and content more efficiently, but it has the problem of requiring separate training and its own server when using it. Accordingly, there is a problem that data management for each signage device is difficult and separate software updates are required.

Registered Patent Publication No. 10-1771451, 2017.08.21.

This disclosure was designed to solve the above-mentioned problems, and the purpose of this disclosure is to provide a signage solution that measures advertising effectiveness based on customer interaction and reflects it in real time.

Additionally, the purpose of the present disclosure is to provide a method and device for monitoring digital signage advertisements and advertisement viewing rankings for each region and determining the advertisement playback order based on this.

The problems to be solved by the present disclosure are not limited to the problems mentioned above, and other problems not mentioned can be clearly understood by those skilled in the art from the description below.

According to various embodiments of the present disclosure, a method of providing a customer interaction-based advertising effect measurement and real-time reflection signage solution performed by a digital signage device includes the digital signage while playing a plurality of advertising contents. Monitoring a plurality of users watching each of the plurality of advertising contents within a predefined range based on the device; Obtaining recognition data for the plurality of users by inputting images taken of the plurality of users into a first artificial intelligence (AI) model; Obtaining popularity data for each of the plurality of advertising contents based on information related to the plurality of advertising contents and recognition data for the plurality of users; and determining a playback order of the plurality of advertisement contents based on popularity data for the plurality of advertisement contents.

And, the recognition data for the plurality of users includes the gender and age of the plurality of users, the number of the plurality of users, and the viewing time of the plurality of advertisement contents of the plurality of users, and the plurality of advertisements The step of obtaining popularity data for the first advertising content among the content includes determining the number of at least one user among the plurality of users who watched the first advertising content during the time the first advertising content is played, and the first number of users. 1 Obtaining first type of popularity data for the first advertising content based on the total time each of the at least one user viewed the first advertising content, and based on the gender and age of the first at least one user Thus, second type of popularity data for the first advertising content can be obtained.

In addition, determining the playback order of the plurality of advertising contents may include identifying a first time period with the largest floating population within the predefined range based on the digital signage device; and reproducing the plurality of advertisement contents in the order in which the numerical value corresponding to the first type of popularity data is highest within the first time period.

In addition, determining the playback order of the plurality of advertising contents may include obtaining the age and gender ratio of a user moving during a second time period within the predefined range based on the digital signage device; and determining a playback order of the plurality of advertising contents based on a value corresponding to second type popularity data for each of the plurality of advertising contents and the obtained age and gender ratio of the user. .

And, the second advertisement content among the plurality of advertisement contents includes a QR code related to the second advertisement content, and based on the first user among the plurality of users photographing the QR code using a terminal device, A first UI (user interface) through which the information of the first user can be input is displayed on the terminal device, and based on the information of the first user being input on the first UI, the information of the first user is displayed. A digital token related to the first user's advertising preference based on is provided, and the digital token can be uploaded on a second UI that can trade a non-fungible token (NFT).

Through various embodiments of the present disclosure, the purpose of the present disclosure is to provide a method and device for measuring advertising effectiveness based on customer interaction and providing a real-time reflection signage solution.

Additionally, according to various embodiments of the present disclosure, a method and device for more efficiently monitoring digital signage advertisements and advertisement viewing rankings by region can be provided.

Additionally, according to various embodiments of the present disclosure, advertisements optimized for users can be provided through digital signage based on the user's facial recognition data.

The effects of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned may be clearly understood by those skilled in the art from the description below.

1 is a schematic diagram of a system for measuring customer interaction-based advertising effectiveness and providing a real-time reflection signage solution, according to an embodiment of the present disclosure.
Figure 2 is a block diagram briefly illustrating the configuration of an apparatus that measures advertising effectiveness based on customer interaction and provides a real-time reflection signage solution according to an embodiment of the present disclosure.
Figure 3 is a flowchart illustrating a method for measuring customer interaction-based advertising effectiveness and providing a real-time reflection signage solution, according to an embodiment of the present disclosure.

The advantages and features of the present disclosure and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure is complete and to provide a general understanding of the technical field to which the present disclosure pertains. It is provided to fully inform those skilled in the art of the scope of the present disclosure, and the present disclosure is defined only by the scope of the claims.

The terminology used herein is for the purpose of describing embodiments and is not intended to limit the disclosure. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. As used in the specification, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other elements in addition to the mentioned elements.

Like reference numerals refer to like elements throughout the specification, and “and/or” includes each and every combination of one or more of the referenced elements. Although “first”, “second”, etc. are used to describe various components, these components are of course not limited by these terms. These terms are merely used to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may also be the second component within the technical spirit of the present disclosure.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which this disclosure pertains. Additionally, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless clearly specifically defined.

Spatially relative terms such as “below”, “beneath”, “lower”, “above”, “upper”, etc. are used as a single term as shown in the drawing. It can be used to easily describe the correlation between a component and other components. Spatially relative terms should be understood as terms that include different directions of components during use or operation in addition to the directions shown in the drawings.

For example, if a component shown in a drawing is flipped over, a component described as “below” or “beneath” another component will be placed “above” the other component. You can. Accordingly, the illustrative term “down” may include both downward and upward directions. Components can also be oriented in other directions, so spatially relative terms can be interpreted according to orientation.

Hereinafter, a method, device, and system for measuring customer interaction-based advertising effectiveness and providing a real-time reflection signage solution will be described with reference to the drawings.

1 is a schematic diagram of a system for measuring customer interaction-based advertising effectiveness and providing a real-time reflection signage solution, according to an embodiment of the present disclosure.

As shown in FIG. 1, a system implementing a method of measuring advertising effectiveness based on customer interaction and providing a real-time reflection signage solution includes a digital signage device 100 and a terminal device 200-1 used by a plurality of users. It may include 200-2, ... 200-N) (N is a natural number of 2 or more).

In explaining the present disclosure, “user” may collectively refer to a subject who watches advertising content played on the digital signage device 100.

Figure 1 shows a case where terminal devices 200-1, 200-2, ... 200-N used by a plurality of users are implemented in the form of a single smart phone, but the present invention is not limited thereto.

As described above, terminal devices (200-1, 200-2, ... 200-N) used by multiple users are various types of electronic devices (e.g., smartphones, desktops, laptops, tablet PCs, server devices, wearable device, etc.) or a group of devices to which one or more types of electronic devices are connected.

The digital signage device 100 included in the system and the terminal devices 200-1, 200-2, ... 200-N used by a plurality of users can communicate through a network.

Here, the network may include a wired network and a wireless network. For example, the network may include various networks such as a local area network (LAN), a metropolitan area network (MAN), and a wide area network (WAN).

Additionally, the network may include the known World Wide Web (WWW). However, the network (W) according to an embodiment of the present disclosure is not limited to the networks listed above, and may include at least some of a known wireless data network, a known telephone network, and a known wired and wireless television network.

The digital signage device 100 can play multiple advertising contents. In addition, the digital signage device 100 can monitor a plurality of users watching each of a plurality of advertising contents within a predefined range based on the digital signage device through a CCTV/IP camera, etc. Recognition data can be output from user images captured through CCTV/IP cameras, etc. by a video analysis system.

Specifically, the digital signage device 100 may apply an artificial intelligence algorithm to obtain recognition data for a plurality of users and determine the playback order and time of each of the plurality of advertising contents based on the recognition data.

In explaining the present disclosure, operations performed by the digital signage device 100 may also be performed by a management device that controls/manages the digital signage device 100 (or a device that manages the integrated signage management system). You can. As shown in FIG. 1, the popularity of advertisements, etc. can be analyzed by a video analysis system and an integrated signage management device.

Additionally or alternatively, content played on the digital signage device 100 may include a QR code for generating an NFT. NFTs created by users can be sold on the NFT open market.

A method by which the device 100 measures advertising effectiveness based on customer interaction and provides a real-time reflection signage solution will be described in detail with reference to FIGS. 2 and 3.

Figure 2 is a block diagram briefly illustrating the configuration of a device that measures advertising effectiveness based on customer interaction and provides a real-time reflection signage solution according to an embodiment of the present disclosure.

As shown in FIG. 2 , device 100 may include memory 110, communication module 120, display 130, camera 140, sensor 150, and processor 160. However, it is not limited to this, and the software and hardware configuration of the device 100 may be modified/added/omitted depending on the required operation within the range obvious to those skilled in the art.

The memory 110 can store data supporting various functions of the device and a program for the operation of the control unit, and input/output data (for example, recognition data about users watching advertising content, etc.) ) can be stored, and a number of application programs (application programs or applications) running on the device, data for operation of the device, and commands can be stored. At least some of these applications may be downloaded from an external server via wireless communication.

The memory 110 is of a flash memory type, hard disk type, solid state disk type, SDD type (Silicon Disk Drive type), and multimedia card micro type. micro type), card type memory (e.g. SD or XD memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), EEPROM (electrically erasable) It may include at least one type of storage medium among programmable read-only memory (PROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, and optical disk. Additionally, the memory 110 is separate from the device 100, but may be a database connected wired or wirelessly.

The communication module 120 may include one or more components that enable communication with an external device (e.g., a terminal device used by multiple users), for example, at least one of a wireless communication module or a location information module. It can be included.

Here, the wireless communication module includes, in addition to the Wi-Fi module and WiBro (Wireless broadband) module, GSM (global System for Mobile Communication), CDMA (Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), and UMTS (universal mobile). It may include a wireless communication module that supports various wireless communication methods such as telecommunications system, TDMA (Time Division Multiple Access), LTE (Long Term Evolution), 4G, 5G, and 6G.

The wireless communication module may include a wireless communication interface including an antenna and a transmitter that transmits various signals. Additionally, the wireless communication module may further include a signal conversion module that modulates a digital control signal output from the control unit through a wireless communication interface into an analog wireless signal under the control of the control unit.

The wireless communication module may include a wireless communication interface including an antenna and a receiver that receives various signals. Additionally, the wireless communication module may further include a signal conversion module for demodulating an analog wireless signal received through a wireless communication interface into a digital control signal.

The display 130 displays (outputs) information processed by the device 100 (eg, advertising content, quick response (QR) code included in the advertising content, etc.). For example, the display may display execution screen information of an application (for example, an application) running on the device 100, or UI (User Interface) and GUI (Graphic User Interface) information according to such execution screen information. You can.

The camera 140 can capture images of the surrounding environment of the digital signage device. As an example, the camera 140 may acquire images of a plurality of users watching each of a plurality of advertising contents within a predefined range based on the digital signage device.

The sensor 150 may sense at least one user approaching the digital signage device 100 within a certain distance. The sensor 150 may include a sensor for sensing various types of data. The sensitivity (eg, a certain distance value, etc.) of the sensor 150 may be controlled by the processor 160.

The processor 160 includes a memory that stores data for an algorithm for controlling the operation of components in the device or a program that reproduces the algorithm, and at least one processor that performs the above-described operations using the data stored in the memory ( (not shown) may be implemented. At this time, the memory 110 and the processor 160 may each be implemented as separate chips. Alternatively, the memory 110 and processor 160 may be implemented as a single chip.

In addition, the processor 160 may control any one or a combination of the above-described components in order to implement various embodiments according to the present disclosure described in FIG. 3 below on the present device.

Figure 3 is a flowchart illustrating a method for measuring customer interaction-based advertising effectiveness and providing a real-time reflection signage solution, according to an embodiment of the present disclosure.

While playing back a plurality of advertising contents, the digital signage device may monitor a plurality of users watching each of the plurality of advertising contents within a predefined range based on the digital signage device (S310).

Specifically, the digital signage device may initially randomly determine the playback order of a plurality of advertising contents included in the playlist. The digital signage device may monitor a plurality of users watching each of the plurality of advertising contents within a predefined range based on the digital signage device while playing the plurality of advertising contents according to the determined playback order.

At this time, the digital signage device can classify specific users existing within a predefined range into users who access the digital signage device to view advertising content and users who simply access the digital signage device to pass through the digital signage device.

For example, a digital signage device may identify a user who stops for a certain period of time within a predefined range based on the digital signage device as at least one advertisement viewer candidate. The digital signage device may identify, among candidate advertisement viewers, a viewer looking toward the display of the digital signage device as a user watching advertisement content through a sensor and/or camera.

The digital signage device can obtain recognition data for multiple users by inputting images taken of multiple users into a first artificial intelligence (AI) model (S320).

In explaining the present disclosure, the AI model may be a deep neural network. Throughout this specification, neural network, network function, and neural network may be used interchangeably. A deep neural network (DNN) may refer to a neural network that includes a plurality of hidden layers in addition to an input layer and an output layer. Deep neural networks allow you to identify latent structures in data. In other words, it is possible to identify the potential structure of a photo, text, video, voice, or music (e.g., what object is in the photo, what the content and emotion of the text are, what the content and emotion of the voice are, etc.) . Deep neural networks include convolutional neural network (CNN), recurrent neural network (RNN), restricted boltzmann machine (RBM), and deep belief network (DBN). ), Q network, U network, Siamese network, etc.

The first AI model may be trained to extract the face image of each specific user from an image taken of the specific user with a camera and to obtain recognition data for the specific user from the extracted face image.

Here, the recognition data for a specific user may include the specific user's gender, age, viewing time of the specific user's advertising content (i.e., the time the specific user gazes at the display of the digital signage device), etc. Accordingly, the digital signage device can obtain recognition data for multiple users.

Based on information related to a plurality of advertising contents (e.g., when each of the plurality of advertising contents is played, etc.) and recognition data for a plurality of users, the digital signage device may obtain popularity data for each of the plurality of advertising contents. (S330).

Here, the type of popularity data can be divided into first type popularity data and second type popularity data. The first type of popularity data may include the total number of users and viewing time of advertising content when it is played. The second type of popularity data may include data related to the gender and age of the user playing the advertising content.

In other words, the first type of popularity data may represent the overall popularity of the advertisement, and the second type of popularity may represent popularity by gender and age group.

Specifically, the digital signage device determines the number of the first at least one user among the plurality of users who watched the first advertising content during the time the first advertising content is played, and each of the first at least one user watching the first advertising content. The first type of popularity data for the first advertising content may be obtained based on the one-hour total.

And, the digital signage device may obtain second type of popularity data for the first advertising content based on the gender and age of the first at least one user. At this time, the second type of popularity data may include data in which at least one first user is classified by gender and age group.

The digital signage device may determine the playback order of the plurality of advertising contents based on popularity data for the plurality of advertising contents (S340). And, the digital signage device can transmit/play a plurality of advertising contents according to the determined playback order and time (S350).

As an example of the present disclosure, the digital signage device may identify a first time period with the largest floating population within a predefined range based on the digital signage device.

Specifically, a digital signage device can capture a predefined range for a specific time (eg, a day or a week, etc.) and calculate the number of users moving within the predefined range through the captured images. Accordingly, the digital signage device can identify the first time period in which the largest floating population exists within a predefined range.

However, this is only an example, and the digital signage device may receive floating population information within a predefined range from the management device. The digital signage device obtains first intermediate data by applying a first weight to the floating population information received from the management device, and obtains second intermediate data by applying a second weight to the directly calculated floating population information. You can.

Here, each of the first weight and the second weight may be determined by the reliability of the camera and sensor of the digital signage device and the reliability of the floating population collection ability of the management device.

The digital signage device may obtain final floating population information by adding the first intermediate data and the second intermediate data. The digital signage device can use the final floating population information to identify the first time period in which the largest floating population exists within a predefined range. Accordingly, the digital signage device can more accurately obtain floating population information.

The digital signage device may reproduce a plurality of advertising contents within a first time period in the order in which the value corresponding to the first type of popularity data is highest. That is, the digital signage device can first play advertising content with the highest value corresponding to the first type of popularity data in the first time period. Advertising effectiveness can be maximized as the most popular advertising content is output during the time period with the highest floating population.

The digital signage device may obtain the age and gender ratio of users moving during the second time period within a predefined range based on the digital signage device. As an example, the digital signage device may obtain the age and gender ratio of users moving during the second time period within a predefined range based on recognition data for a plurality of users acquired during a specific time.

Here, the second time period may coincide with the first time period, but may also be different from it. The second time section may be a unit time section.

Based on the numerical value corresponding to the second type of popularity data for each of the plurality of advertising contents and the obtained age and gender ratio of the user, the digital signage device may determine the playback order of the plurality of advertising contents.

As an example, the digital signage device identifies the highest proportion of women in their 30s among the floating population within a predefined range in the second time zone (i.e., indicating that the proportion of women in their 30s among the population moving within the second time zone is the highest) A second type of data can be obtained. At this time, the digital signage device may preferentially play the content most viewed by women in their 30s among the plurality of advertising contents in the second time period.

Additionally or alternatively, the digital signage device may determine the playback order for the plurality of contents by utilizing all first/second type popularity data for each of the plurality of advertisement contents.

As an additional example of the present disclosure, the second advertisement content among the plurality of advertisement contents may include a first QR code related to the second advertisement content. When a first user among a plurality of users photographs the first QR code using a terminal device, the first user's terminal device can input the first user's information using the URL mapped to the first QR code. The first UI can be displayed.

Based on the first user's information (e.g., user's gender, age group, preferred advertising content type, user's photo, electronic wallet, etc.) being entered on the first UI, the first user based on the first user's information A digital token related to advertising preferences may be provided to the first user through the terminal device.

At this time, the digital token may include an image related to the second advertisement content, a character, an avatar and/or image corresponding to the user, advertisement preference data of the first user, etc.

For example, the digital token may be composed of a composite avatar and/or image corresponding to the user on an image-based background related to the second advertising content. As another example, the digital token may include images and videos corresponding to events related to the second advertising content.

At this time, the digital token can be uploaded on a second UI that can trade NFT (non-fungible token). Specifically, the digital token may be automatically stored in the first user's electronic wallet and uploaded on the second UI. Accordingly, digital tokens can be freely traded in the NFT market.

The terminal device used by the first user may transmit the generated digital token to the digital signage device and/or a management device that manages the digital signage device. The digital signage device and/or management device may determine the playback order of a plurality of advertisement contents based on the generated digital token and/or advertisement preference data of the first user.

As another example of the present disclosure, a third advertisement content among a plurality of advertisement contents may provide a message indicating that AR content is included and a second QR code. When the terminal device used by the second user photographs the second QR code, the terminal device used by the second user may be provided with AR content mapped to the second QR code. That is, the terminal device used by the second user can display a screen captured through a camera, and AR content can be overlaid on the screen. Here, AR content may be related to third advertising content.

Additionally, a third UI through which the second user's personal information can be input may be displayed on the screen where the AR content is overlaid. Based on the input of the second user's information (e.g., user's gender, age group, preferred advertising content type, user's photo, electronic wallet, etc.) on the third UI, the terminal device used by the second user is the second user. A digital token may be provided related to the second user's advertising preferences based on the information. The digital token can be uploaded to the second UI where NFT can be traded.

The digital token related to the second user's advertising preference may include AR content, an avatar and an image corresponding to the second user, etc. And, the digital token may be automatically stored in the first user's electronic wallet and uploaded on the second UI. Accordingly, digital tokens can be freely traded in the NFT market.

In explaining the present disclosure, an avatar corresponding to a user may be created based on an image input from the user. When a user's photo is input from the user on the first UI and/or the third UI, the user's photo may be transmitted to the digital signage device. The digital signage device can input the learned second AI model to create an avatar corresponding to the user based on the user's photo. The digital signage device can transmit the avatar obtained through the second AI model to the device used by the user.

Meanwhile, the disclosed embodiments may be implemented in the form of a recording medium that stores instructions executable by a computer. Instructions may be stored in the form of program code, and when executed by a processor, may create program modules to perform operations of the disclosed embodiments. The recording medium may be implemented as a computer-readable recording medium.

Computer-readable recording media include all types of recording media storing instructions that can be decoded by a computer. For example, there may be Read Only Memory (ROM), Random Access Memory (RAM), magnetic tape, magnetic disk, flash memory, optical data storage device, etc.

As described above, the disclosed embodiments have been described with reference to the attached drawings. A person skilled in the art to which this disclosure pertains will understand that the present disclosure may be practiced in forms different from the disclosed embodiments without changing the technical idea or essential features of the present disclosure. The disclosed embodiments are illustrative and should not be construed as limiting.

110: memory
120: communication module
130: display
140: camera
150: sensor
160: processor

Claims (5)

In the method of measuring advertising effectiveness based on customer interaction and providing a real-time reflection signage solution performed by a digital signage device, the method includes:
Monitoring a plurality of users watching each of the plurality of advertising contents within a predefined range based on the digital signage device while playing the plurality of advertising contents;
Obtaining recognition data for the plurality of users by inputting images taken of the plurality of users into a first artificial intelligence (AI) model;
Obtaining popularity data for each of the plurality of advertising contents based on information related to the plurality of advertising contents and recognition data for the plurality of users; and
Based on popularity data for the plurality of advertisement contents, determining a playback order of the plurality of advertisement contents,
Among the plurality of advertisement contents, the second advertisement content includes a first QR code related to the second advertisement content,
Based on the first user among the plurality of users photographing the first QR code using a terminal device, a first UI (user interface) through which the first user's information can be input is displayed on the terminal device. become,
Based on the information of the first user being input on the first UI, a digital token related to the advertising preference of the first user based on the information of the first user is provided,
The digital token is uploaded on a second UI that can trade NFT (non-fungible token),
Among the plurality of advertisement contents, the third advertisement content includes a second QR code and a message indicating that augmented reality (AR) content associated with the third advertisement content is included,
Based on the terminal device used by the second user capturing the second QR code, the AR content is overlaid on the captured screen on the terminal device used by the second user,
When the second user's information is entered into the third UI on the AR content, a digital token related to the second user's advertising preference based on the second user's information is provided,
A digital token related to the second user's advertising preferences is uploaded on the second UI,
The digital token associated with the second user's advertising preferences includes an avatar corresponding to the second user,
The avatar corresponding to the second user is a method in which a photo of the second user among the information about the second user is input to a second AI model and output.
According to paragraph 1,
The recognition data for the plurality of users is,
Includes the gender and age of the plurality of users, the number of the plurality of users, and the viewing time of the plurality of advertising contents of the plurality of users,
The step of acquiring popularity data for the first advertising content among the plurality of advertising content,
The number of the first at least one user among the plurality of users who watched the first advertising content during the time the first advertising content was played, and the total time each of the first at least one user watched the first advertising content Obtaining first type popularity data for the first advertising content based on the sum,
Obtaining second type of popularity data for the first advertising content based on the gender and age of the first at least one user.
According to paragraph 2,
The step of determining the playback order of the plurality of advertising contents includes:
Identifying a first time period with the largest floating population within the predefined range based on the digital signage device; and
A method comprising: reproducing the plurality of advertisement contents in the order in which the numerical value corresponding to the first type of popularity data is highest within the first time period.
According to paragraph 2,
The step of determining the playback order of the plurality of advertising contents includes:
Obtaining the age and gender ratio of a user moving during a second time period within the predefined range based on the digital signage device; and
A method comprising determining a playback order of the plurality of advertising contents based on a value corresponding to second type of popularity data for each of the plurality of advertising contents and the obtained age and gender ratio of the user.
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