KR102338679B1 - Server operating platform for recommending advertisement locations - Google Patents

Abstract

Embodiments of the present invention relate to a server operating a platform for recommending an advertisement location in which at least one display is installed among the advertisement locations in which a plurality of displays are installed. The server includes: a processor; and a memory for storing instructions instructing the processor to perform at least one step.

Description

A server operating a platform for ad location recommendation

Embodiments are directed to a server for recommending an advertisement location. Specifically, it relates to a server operating a platform for recommending an advertisement position in which at least one display is installed among advertisement positions in which a plurality of displays are installed.

Outdoor advertisements are generally installed through signboards formed on buildings, large-sized billboards on the roofs, exterior walls, streets, or stores of buildings, and the like. And, with the recent technological development, digital outdoor advertisement using a display is increasing.

In general, digital outdoor advertisement has a system in which advertisements for products are output through advertisement monitors and/or kiosks installed in stores or streets, etc., when receiving an advertisement request for products from an advertisement client. Digital outdoor advertising can convey more information than general outdoor advertising. In addition, through the dynamic movement of the advertising medium, there is an advantage in that it can further catch the attention of visitors passing the outdoor billboard.

However, although digital outdoor advertising has a higher price than general outdoor advertising, there is a problem in that the accurate effect of advertising cannot be measured.

(001) Korean Patent Publication No. 10-2009-0001531 (2009.01.09) (002) Korean Patent Publication No. 10-2011-0032163 (2011.03.30) (002) Korean Patent Publication No. 10-2008-0020062 (2008.03.05)

Embodiments may provide a server operating a platform for ad location recommendation.

Embodiments may provide a server operating a platform for recommending an advertisement location suitable for the needs of the advertiser.

Embodiments may provide a server operating a platform for recommending an advertisement location suitable for the advertiser's product.

Technical problems to be achieved in the embodiments are not limited to those mentioned above, and other technical problems not mentioned may be considered by those of ordinary skill in the art from various embodiments to be described below. can

According to embodiments, at least one processor; and a memory for storing instructions instructing the at least one processor to perform at least one step, wherein the at least one step includes receiving visitor information from a plurality of displays and storing the information in the memory step; analyzing visitor information to form visitor data; receiving target customer information from a user server; extracting visitor data including target customer information from among the visitor data; and transmitting, to a user server, information on an advertisement location in which a recommended display including the extracted visitor data from among the plurality of displays is installed; It provides a server for operating a platform for recommending an advertisement position in which at least one display is installed among advertisement positions in which a plurality of displays are installed, including:

According to embodiments, the visitor data may include at least one of a plurality of display installation advertisement positions including at least one of the visitor's age, the visitor's gender, the visitor's residence time, and the floating population information. Provides a server running the platform for

According to embodiments, the visitor information includes image information of the visitor, the target customer information includes the image information of the target customer, and the extracting of the visitor data includes: styling information included in the target customer's image information judging; comparing the styling information with the visitor's image information; and determining the similarity between the styling information and the visitor's image information and extracting it as visitor data; It provides a server for operating a platform for recommending an advertisement position in which at least one display is installed among advertisement positions in which a plurality of displays are installed, including:

According to embodiments, determining the styling information includes at least one of a category of an item worn by a target customer included in the image information of the target customer, a brand of the item, and an advertisement location in which a plurality of displays are installed A server operating a platform for recommending an advertisement location in which at least one display is installed is provided.

를 기반으로 계산되고, S는 유사 정도를 나타내고, A는 상기 아이템의 카테고리 정보를 나타내고, B는 아이템의 브랜드 정보를 나타내고, C는 아이템의 평균 가격 정보를 나타내고, F는 유동 인구 정보를 나타내고,

,

,

는 각각 A, B, C에 대한 가중치를 나타내는, 복수 개의 디스플레이가 설치된 광고 위치 중 적어도 하나 이상의 디스플레이가 설치된 광고 위치 추천을 위한 플랫폼을 운영하는 서버를 제공한다.According to embodiments, the similarity determination is

is calculated based on, S indicates the degree of similarity, A indicates the category information of the item, B indicates the brand information of the item, C indicates the average price information of the item, F indicates the floating population information,

,

,

provides a server operating a platform for recommending an advertisement position in which at least one display is installed among advertisement positions in which a plurality of displays are installed, indicating weights for A, B, and C, respectively.

Embodiments may provide a server operating a platform for ad location recommendation.

A server operating a platform for recommending an advertisement location according to embodiments may provide an advertisement location desired by a user.

A server operating a platform for ad location recommendation according to embodiments may provide an ad location recommendation suitable for a user's product.

A server operating a platform for recommending an advertisement location according to embodiments may allow a user to manage a plurality of advertisements at once.

Effects obtainable from the embodiments are not limited to the effects mentioned above, and other effects not mentioned are clearly derived and understood by those of ordinary skill in the art based on the detailed description below. can be

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are included as part of the detailed description to aid understanding of the embodiments, provide various embodiments and, together with the detailed description, explain technical features of the various embodiments.
1 illustrates an example of a method in which a server operating a platform for ad location recommendation according to embodiments is driven.
2 is a flowchart illustrating a server operating a platform for recommending an advertisement location according to embodiments.
3 illustrates an example in which a server operating a platform for ad location recommendation according to embodiments is driven.
4 illustrates an example in which a server operating a platform for ad location recommendation according to embodiments is driven.
5 illustrates an example in which a server operating a platform for recommending an advertisement location according to embodiments is driven.
6 illustrates an example in which a server operating a platform for recommending an advertisement location according to embodiments is driven.
7 is a hardware configuration diagram of a server operating a platform for recommending an advertisement location according to embodiments.

The following embodiments combine elements and features of the embodiments in a predetermined form. Each component or feature may be considered optional unless explicitly stated otherwise. Each component or feature may be implemented in a form that is not combined with other components or features. In addition, various embodiments may be configured by combining some components and/or features. The order of operations described in various embodiments may be changed. Some features or features of one embodiment may be included in another embodiment, or may be replaced with corresponding features or features of another embodiment.

In the description of the drawings, procedures or steps that may obscure the gist of various embodiments are not described, and procedures or steps that can be understood at the level of those of ordinary skill in the art are also not described. did

Throughout the specification, when a part is said to "comprising or including" a certain component, it does not exclude other components unless otherwise stated, meaning that other components may be further included. do. In addition, terms such as "...unit", "...group", and "module" described in the specification mean a unit that processes at least one function or operation, which is hardware or software or a combination of hardware and software. can be implemented as Also, "a or an," "one," "the," and like related terms are used herein in the context of describing various embodiments (especially in the context of the claims that follow). Unless indicated otherwise or clearly contradicted by context, it may be used in a sense including both the singular and the plural.

Hereinafter, embodiments according to various embodiments will be described in detail with reference to the accompanying drawings. DETAILED DESCRIPTION The detailed description set forth below in conjunction with the appended drawings is intended to describe exemplary embodiments of various embodiments, and is not intended to represent the only embodiments.

In addition, specific terms used in various embodiments are provided to help the understanding of various embodiments, and the use of these specific terms may be changed to other forms without departing from the technical spirit of various embodiments. .

1 illustrates an example of a method in which a server operating a platform for ad location recommendation according to embodiments is driven.

1 illustrates a system 1000 including a server 100 (hereinafter referred to as a server) operating a platform for recommending an advertisement location according to embodiments. The system 1000 including the server 100 may include the server 100 , the user terminal 200 , and the outdoor billboard 300 . However, the system 1000 including the server 100 may further include one or more component(s) not shown in FIG. 1 .

As shown in FIG. 1 , the server 100 according to the embodiments may transmit/receive data to and from the user terminal 200 and the outdoor billboard 300 .

The server 100 according to embodiments may receive visitor information obtained by the outdoor billboard 300 from the outdoor billboard 300 . Also, the server 100 may transmit information including an advertisement image or video to the outdoor billboard 300 .

The server 100 according to the embodiments may receive an advertisement posting request in relation to an advertisement to be published from the user terminal 200 . Also, the server 100 may receive a request for recommending an appropriate advertisement posting location in relation to an advertisement to be posted from the user terminal 200 . Also, the server 100 may receive information including an advertisement image or video to be posted on the outdoor billboard 300 from the user terminal 200 .

The user terminal 200 and the outdoor billboard 300 may transmit/receive data to each other through the server 100 according to embodiments. Accordingly, for example, a user such as an advertiser may manage each advertisement through the server 100 even when posting a plurality of advertisements or posting advertisements in a plurality of locations. That is, the server 100 according to the embodiments may provide convenience so that the user can manage each advertisement at once.

In this case, the user terminal 200 may be, for example, a terminal used by an advertisement client who intends to request an advertisement through the server 100 . Alternatively, the user terminal 200 may be, for example, a terminal used by a client who receives a suitable advertisement location recommendation from the server 100 . The advertiser, the advertisement client, and the client all refer to a target for requesting the publication of an advertisement through the server 100, and may be used interchangeably.

At this time, for example, the user terminal 200, a communicable desktop computer (desktop computer), a laptop computer (laptop computer), a notebook (notebook), a smart phone (smart phone), a tablet PC (tablet PC), a mobile phone ( mobile phone, smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera, DMB (digital multimedia) broadcasting) player, digital audio recorder, digital audio player, digital video recorder, digital video player, PDA (Personal Digital Assistant), and the like.

In this case, the outdoor advertisement board 300 may include an outdoor advertisement. The outdoor billboard 300 may include, for example, advertisements installed on an outer wall of a building, an inner wall of a building, in a store, an exhibition, a roof of a building, and the like.

Also, the outdoor billboard 300 may include a digital outdoor advertisement. The outdoor billboard 300 may mean, for example, an outdoor billboard on which a display is installed. In this case, the display may include any type of display regardless of the type of display, such as an LED display, a PDP display, and an LCD display. In this case, the display may include all types of displays, such as a 2D display, a 3D display, an autostereoscopic image display, and a hologram display, regardless of a display category. Hereinafter, the display and the outdoor billboard may be used interchangeably.

That is, all of the outdoor billboards 300 on which advertisements are displayed may be included as a component of the system 1000 including the server 100 according to embodiments.

The advertisement location provided to the user terminal 200 through the server 100 according to embodiments may indicate a location where an outdoor advertisement is installed. The advertisement location may indicate a specific point, for example, may indicate a specific point such as 'outdoor advertisement at Seolleung Station Exit 2'. In addition, the advertisement location may indicate a broad location where a country, region, or a group with the same / similar characteristics is located, for example, it may indicate a wide location where a specific group exists, such as 'all universities in Korea'. have.

Hereinafter, a flow in which the server is driven according to the embodiments will be described in detail.

2 is a flowchart illustrating a server operating a platform for recommending an advertisement location according to embodiments.

The server 100 according to embodiments may transmit/receive data to and from the user terminal 200 and the outdoor billboard 300 .

The server 100 according to the embodiments may receive visitor information from the outdoor billboard 300 ( s201 ).

That is, the server 100 according to the embodiments may receive visitor information from the plurality of outdoor billboards 300 and store it in the memory 120 (refer to FIG. 7 ) included in the server 100 .

The visitor information may be information about the visitor detected by the outdoor billboard 300 . The visitor information may include image information of visitors passing the outdoor billboard 300 . The image information may include, for example, 2D image information and 3D image information. Also, the image information may be an image captured by a time of flight sensor and/or a LiDAR camera provided on the outdoor billboard 300 . That is, the image information may include color information as well as 3D spatial information about visitors.

In addition, the visitor information may include data detected by a thermal sensor provided on the outdoor billboard 300 . In addition, the visitor information may include data detected through various types of sensors, such as a vibration sensor and a sound sensor provided on the outdoor billboard 300 .

The server 100 according to embodiments may analyze visitor information to form visitor data (s202).

Visitor data according to embodiments may include, for example, at least one of a visitor's age, a visitor's gender, a visitor's residence time, and floating population information. Also, the visitor data may include styling information of visitors included in the image information.

The server 100 according to embodiments may store visitor information and visitor data analyzed from the visitor information in a memory. However, the server 100 may delete visitor information and store only visitor data. In this case, the server 100 can process data quickly without overloading the capacity.

The server 100 according to the embodiments may store the visitor information and visitor data in a text format, formulating or encrypting the memory. In addition, the image information included in the visitor information and the visitor data may leave only the styling information of the visitor as an image, and the visitor's personal information may be converted into an avatar and stored in the memory. Through this, the server 100 can store necessary information about the visitor without leaking the visitor's personal information.

The server 100 according to embodiments may receive target customer information from the advertiser 200 (s203).

Target customer information according to embodiments may be customer information serving as a target layer of a product that the advertiser 200 intends to advertise. The target customer information may be information including the age of the target customer, the gender of the target customer, the preferred brand of the target customer, the average purchase amount of the target customer, and the like.

Also, target customer information according to embodiments may include image information of the target customer. The customer image information may be information including images of a plurality of unspecified customers or information including images of specific customers.

Although not shown, the server 100 according to embodiments may receive information about a product that the advertiser 200 intends to advertise from the advertiser 200 .

The server 100 according to embodiments may extract visitor data including target customer information from the visitor data (s204).

According to embodiments, the extracted visitor data may include information that is the same as or similar to target customer information. In addition, the visitor data may include information that matches target customer information by a predetermined ratio or more.

The server 100 according to the embodiments may transmit the extracted visitor data to the advertiser 200 (s205).

According to embodiments, the visitor data transmitted to the advertiser 200 may include information on an advertisement location suitable for posting an advertisement of the advertiser 200 . Through this, the advertiser 200 may receive a recommendation from the server 100 for a point or region where the target customer flows a lot. In addition, through this, the advertiser 200 can manage and/or control a plurality of advertisements at once through the server 100 when launching a plurality of advertisements or when launching advertisements in a plurality of locations. .

Although not shown, the server 100 according to the embodiments may transmit information on an advertisement location suitable for posting an advertisement for a product that the advertiser 200 intends to advertise to the advertiser 200 . In this case, the server 100 may compare and/or analyze the product information received from the advertiser 200 with the visitor data, extract information on a suitable advertisement location, and transmit it to the advertiser 200 . Through this, the server 100 can provide convenience to the advertiser 200 by suggesting an advertisement target and location to the advertiser 200 for a product whose customer base is uncertain.

Hereinafter, the operation of the server 100 according to embodiments will be described in detail by way of example.

3 illustrates an example in which a server operating a platform for ad location recommendation according to embodiments is driven.

3 shows a state in which the outdoor billboard 300 according to the embodiments is installed. In this case, reference numerals 401 to 407 denote visitors passing around the outdoor billboard 300 .

The outdoor billboard 300 according to embodiments may include a sensor for acquiring information of visitors passing around the outdoor billboard 300 . In this case, the sensor may include any sensor for acquiring information of visitors, such as an imaging device such as a camera, a thermal sensor, a lidar sensor, and a vibration sensor.

The outdoor billboard 300 according to embodiments may acquire information about only the visitors 402 , 403 , 405 , 406 , and 407 gazing at the outdoor billboard 300 among the visitors 401 to 407 . For example, the outdoor billboard 300 may collect information about all visitors 401 to 407 passing the outdoor billboard 300 in order to collect floating population information, and the outdoor billboard 300 may also Information on the visitors 402 , 403 , 405 , 406 , and 407 gazing at the outdoor billboard 300 may be acquired.

Hereinafter, analysis of visitor data from visitor information collected by the server 100 according to embodiments will be described in detail.

4 illustrates an example in which a server operating a platform for ad location recommendation according to embodiments is driven.

The server 100 according to embodiments may analyze the visitor data 101 from information about the visitors 402 , 403 , 405 , 406 , and 407 gazing at the outdoor billboard 300 . In this case, the visitor data 101 may include floating population information about all the visitors 401 to 407 passing the outdoor billboard 300 .

The server 100 according to the embodiments may analyze visitor data from information about the visitors 402 , 403 , 405 , 406 , and 407 recognized through a sensor included in the outdoor billboard 300 .

For example, the visitor data 101 analyzed according to embodiments includes the gender, age, styling, liking, and residence time of the visitors 402 , 403 , 405 , 406 , 407 staring at the outdoor billboard 300 . can do. In addition, the analyzed visitor data 101 may include gender, age, styling, favorability, and residence time of visitors who visit for each time period.

Hereinafter, the server 100 according to embodiments, based on the analyzed visitor data, receives target customer data from the advertiser 200 and extracts visitor data including target customer information in detail.

5 illustrates an example in which a server operating a platform for recommending an advertisement location according to embodiments is driven.

5 is a diagram illustrating an advertiser's user terminal 200 according to embodiments, and illustrates that the server 100 receives target customer information from the advertiser through the user terminal 200 . In this case, the advertiser may transmit/receive data to and from the server 100 through the user terminal 200 . Also, the advertiser may access the server 100 through the user terminal 200 .

Although not shown, the server 100 may receive specific or schematic target customer data from the user terminal 200 . For example, the server 100 may receive information about the age, gender, styling, etc. of the target customer from the user terminal 200 .

5 (a) to (c) illustrate receiving information on a factor that an advertiser more preferentially considers among the received target customer data. In this case, the factor to be considered may include, for example, the age of the visitor, the gender of the visitor, the residence time of the visitor, the floating population of the visitor, information on the wearing item of the visitor, and the like, but is not limited thereto. In addition, when the advertiser 200 considers all factors equally, the server 100 may receive information from the advertiser 200 that all factors are considered the same.

Figure 5 (a) is a diagram showing the advertiser 200 is a diagram for collecting information about the most important consideration factor among target customer data. For example, the advertiser 200 may consider the gender of the visitor as the most important factor.

Figure 5 (b) is a diagram showing the advertiser 200 is a diagram for collecting information on the second most important consideration factor among target customer data. When the advertiser 200 selects the most important factor to consider, the server 100 may display FIG. 5 ( b ) on the user terminal 200 . In this case, the gender of the visitor selected as the most important factor may be deactivated so that the selection is not duplicated. For example, the advertiser 200 may consider the floating population of visitors as the second most important factor.

Figure 5 (c) is a diagram illustrating the advertiser 200 collecting information on the third most important consideration factor among target customer data. When the advertiser 200 selects the second most important factor to consider, the server 100 may display FIG. 5 ( c ) on the user terminal 200 . At this time, the gender of the visitor and the floating population of the visitor selected as the most important factor and the second most important factor may be inactivated so that the selection is not duplicated. For example, the advertiser 200 may consider all remaining factors to the same degree.

The server 100 according to the embodiments, based on the information collected in FIGS. 5 (a) to (c), provides information on the advertisement location where the recommended outdoor billboard 300 is installed to the advertiser's user terminal 200 . can be sent to

At this time, the server 100 according to the embodiments applies a weight to each of the most important to the third most important consideration factors, based on the information collected in FIGS. 5A to 5C . Thus, it is possible to extract information on an advertisement location where the recommended outdoor billboard 300 is installed.

Hereinafter, the server 100 according to embodiments, from the visitor information and target customer information including image information, will be described in detail as an example of extracting information about the advertisement location.

6 illustrates an example in which a server operating a platform for recommending an advertisement location according to embodiments is driven.

In FIG. 6 , reference numeral 310 denotes image information included in visitor information, and reference numeral 210 denotes image information included in target customer information. In addition, in FIG. 6, reference numerals 311 and 312 indicate the visitor's styling information, and reference numerals 211 and 212 indicate the target customer's styling information.

The server 100 according to embodiments may include the visitor's styling information 311 and 312 in a memory. Also, the server 100 may determine the styling information 211 and 212 included in the target customer image information.

The server 100 according to the embodiments may determine similarity by comparing the styling information 311 and 312 stored in the memory of the visitor with the styling information 211 and 212 included in the target customer image information. This is to use as extracted target visitor data, considering that customers with similar styling information may have similar tastes even when purchasing other products.

In this case, the styling information may include at least one of a category of an item worn by the target customer included in the image information of the target customer, a brand of the item, and an average price of the item.

Items may include, for example, clothing, bags, watches, shoes, and the like. The category may include, for example, suits, sports, casual clothes, and the like in the case of clothing.

For example, the server 100 according to embodiments may determine that the visitor's dress 311 and the target customer's dress 211 are similar dresses. Also, the server 100 may determine, for example, that the visitor's accessory 312 and the target customer's accessory 212 are products of the same brand. As described above, the server 100 may extract visitor image information 310 identical to or similar to the target customer image information 210 from among the plurality of visitor image data.

In this case, the server 100 according to the embodiments may use the following [Equation 1] to determine the similarity between the visitor's styling information and the target customer's styling information.

In this case, S indicates the degree of similarity, A indicates category information of an item, B indicates brand information of the item, C indicates average price information of the item, and F indicates floating population information. A to C may have a value of 0 or more and 100 or less.

In this case, A may be a value quantified through the degree of similarity between the visitor's image information and the target customer's image information, or may be a value obtained by quantifying the similarity by overlapping the visitor's item image and the target customer's item image.

In this case, B may be a numerical value through the degree of similarity between the visitor's item brand information and the target customer's item brand information. When the brand information is the same, the server 100 according to the embodiments may set B to 100. When the brand information is different, the server 100 may determine the degree of similarity between the brand information through crawling using the transceiver 130 (refer to FIG. 7 ). For example, when many users of brand x use brand y, the degree of similarity may be determined to be high. If the user of brand x does not use brand y, B may be set to 0.

In this case, C may be a numerical value of the degree of similarity between the visitor's item average price information and the target customer's item brand average price information. The server 100 according to the embodiments may determine whether the item brand average price information of the target customer and the average item price information of the visitor are included within a preset ratio range and quantify it as C. The server 100 may acquire average price information through crawling through the communication unit.

,

,

는 각각 A, B, C에 대한 가중치를 나타낼 수 있고,

,

,

는 광고주(200)에 의해 설정될 수 있다.

,

,

에 대한 설정은 도 5에서와 동일 또는 유사하게 시행될 수 있다. 이때, 가장 중요한 고려 요인으로 설정된 가중치는 40%의 가중치를 가질 수 있고, 두 번째 중요한 고려 요인으로 설정된 가중치는 33%의 가중치를 가질 수 있고, 세 번째로 중요한 고려 요인으로 설정된 가중치는 27%의 가중치를 가질 수 있다. 이때 각각,

,

,

는 0.4, 0.33, 0.27의 값을 가질 수 있다.Also,

,

,

may represent weights for A, B, and C, respectively,

,

,

may be set by the advertiser 200 .

,

,

The setting for can be implemented in the same or similar manner as in FIG. 5 . At this time, the weight set as the most important factor may have a weight of 40%, the weight set as the second important factor may have a weight of 33%, and the weight set as the third most important factor may have a weight of 27%. can have weights. At this time, each

,

,

may have values of 0.4, 0.33, and 0.27.

,

,

에 대한 비율을 설정하지 않는 경우, 실시예들에 따른 서버(100)가

,

,

를 설정할 수 있다. 즉, 서버(100)는 광고주(200)가 광고하려고 하는 상품에 기초하여 메모리에 기 저장된 명령(instruction)에 따라

,

,

를 설정할 수 있다. 예를 들어, 서버(100)는, 광고하려고 하는 상품이 스포츠 웨어인 경우,

에 대한 가중치를 높게 설정할 수 있다. 또한, 서버(100)는, 광고하려고 하는 상품이 명품 시계인 경우,

에 대한 가중치를 높게 설정할 수 있다. 즉, 서버(100)는, 광고하려고 하는 상품의 특성에 따라 가중치를 설정할 수 있다. 각가의 경우의 가중치 값은 메모리에 기 설정된 값에 따를 수 있다. However, the advertiser 200

,

,

If the ratio is not set, the server 100 according to the embodiments

,

,

can be set. That is, the server 100 according to the instruction (instruction) pre-stored in the memory based on the product that the advertiser 200 intends to advertise.

,

,

can be set. For example, the server 100, when the product to be advertised is sportswear,

It is possible to set a high weight for In addition, the server 100, when the product to be advertised is a luxury watch,

It is possible to set a high weight for That is, the server 100 may set the weight according to the characteristics of the product to be advertised. The weight value in each case may depend on a value preset in the memory.

In this case, the server 100 according to the embodiments may further receive information about the advertisement budget from the advertiser 200 . In this case, the server 100 may determine the similarity according to [Equation 2] below.

,

,

는 각각 A, B, C에 대한 가중치를 나타낼 수 있다. A 내지 C는 0 이상 100 이하의 값을 가질 수 있고, 각 값에 대한 설명은 상술한 바와 같다.In this case, S represents the degree of similarity, A represents category information of the item, B represents the brand information of the item, C represents the average price information of the item, F represents floating population information, and P represents the price indicate information about

,

,

may represent weights for A, B, and C, respectively. A to C may have a value of 0 or more and 100 or less, and the description of each value is as described above.

Through this, the server 100 according to the embodiments may recommend an advertisement location having a price range desired by the advertiser 200 .

The server 100 according to the embodiments determines that, when S is greater than or equal to a preset value, the visitor's styling information 311 and 312 and the target customer's styling information 211 and 212 exist within the same or similar range. can

The server 100 according to the embodiments may recommend a point or area having a large floating population of visitors, in which S is greater than or equal to a preset value, to the advertiser 200 as an advertisement location suitable for posting advertisements.

That is, the server 100 according to the embodiments recommends an advertisement location suitable for posting advertisements to the advertiser 200 by comprehensively considering not only the visitors' age, gender, residence time and floating population information, but also the styling information of the visitors. can do.

Through this, the server 100 according to the embodiments may recommend to the advertiser 200 a location with high liquidity for visitors who are likely to be interested in the advertisement target product.

7 is a hardware configuration diagram of a server operating a platform for recommending an advertisement location according to embodiments.

Referring to FIG. 7 , a server 100 operating a platform for recommending an advertisement location according to embodiments may include at least one processor 110 ; and/or a memory 120 that stores instructions instructing the at least one processor 110 to perform at least one step.

The at least one processor 110 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments are performed. Each of the memory 120 and the storage device 160 may be configured of at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory 120 may be configured as at least one of a read only memory (ROM) and a random access memory (RAM).

In addition, the server 100 operating a platform for recommending an advertisement location according to embodiments may include a transceiver 130 that performs communication through a wireless network. In addition, the server 100 operating a platform for recommending an advertisement location may further include an input interface device 140 , an output interface device 150 , a storage device 160 , and the like. Each of the components included in the server 100 operating the platform for advertisement location recommendation may be connected by a bus 170 to communicate with each other.

At least one step according to embodiments may include: receiving visitor information from a plurality of displays and storing the visitor information in a memory; analyzing visitor information to form visitor data; receiving target customer information from a user server; extracting visitor data including target customer information; and transmitting, to a user server, information on an advertisement location in which a recommended display including the extracted visitor data from among the plurality of displays is installed; may include

The visitor data according to embodiments may include at least one of an age of a visitor, a gender of a visitor, a residence time of the visitor, and a degree of a floating population of the visitor.

In this case, the detailed description of each step is the same as or similar to that described above with reference to FIGS. 1 to 5 .

According to embodiments, the visitor information includes image information of the visitor, the target customer information includes the image information of the target customer, and the step of extracting the visitor data includes determining styling information included in the image information of the target customer to do; comparing the styling information with the visitor's image information; and determining the similarity between the styling information and the visitor's image information and extracting it as visitor data; may include

The determination of styling information according to embodiments may include at least one of a category of an item worn by the target customer included in the image information of the target customer, a brand of the item, and an average price of the item.

In this case, the detailed description of each step is the same as or similar to that described above with reference to FIGS. 1 to 6 .

를 기반으로 계산되고, S는 유사 정도를 나타내고, A는 상기 아이템의 카테고리 정보를 나타내고, B는 아이템의 브랜드 정보를 나타내고, C는 아이템의 평균 가격 정보를 나타내고, F는 유동 인구 정보를 나타내고,

,

,

는 각각 A, B, C에 대한 가중치를 나타낼 수 있다.The similarity determination according to the embodiments is

is calculated based on, S indicates the degree of similarity, A indicates the category information of the item, B indicates the brand information of the item, C indicates the average price information of the item, F indicates the floating population information,

,

,

may represent weights for A, B, and C, respectively.

Embodiments may provide a server operating a platform for ad location recommendation.

The server 100 operating a platform for recommending an advertisement location according to embodiments may provide an advertisement location desired by a user.

The server 100 operating a platform for advertisement location recommendation according to embodiments may provide an advertisement location recommendation suitable for a user's product.

The server 100 operating a platform for recommending an advertisement location according to embodiments may allow a user to manage a plurality of advertisements at once.

A method of recommending an advertisement location according to embodiments includes the steps of: (a) receiving, by the server 100, usage information of the application of the potential customer who uses the application through the potential customer terminal from the potential customer terminal; (b) analyzing, by the server 100, the propensity of the potential customer based on the received usage information; and (c) determining, by the server 100, advertisement content that matches the analyzed tendency of the potential customer from among a plurality of pre-stored advertisement contents; may include

The step (b) comprises the steps of quantifying the propensity of the potential customer by category; may include

The server 100 may be set to quantify the propensity of the potential customer for each category based on the accumulated usage time for each category of the application program.

A method of recommending an advertisement location according to embodiments includes: transmitting the determined advertisement content to the potential customer terminal; may further include.

The step (c) may be characterized in that the advertisement content included in the category in which the numerical propensity exceeds a predetermined reference value is determined as the advertisement content conforming to the propensity of the potential customer.

The transmission/reception device 130 of the server 100 receives the usage information of the application program of the potential customer who uses the application program through the user terminal 200 from the user terminal 200, and the storage device 160 of the server 100 ), various advertisement contents received from the manager terminal (not shown) are classified by category and stored.

On the other hand, the processor 110 of the server 100 quantifies and analyzes the tendency of the potential customer by category based on the received usage information, and advertisement content matching the analyzed tendency of the potential customer from among a plurality of pre-stored advertisement contents. to decide Specifically, the processor 110 of the server 100 determines the advertisement content corresponding to the category in which the tendency quantified for each category exceeds a predetermined reference value as the advertisement content matching the tendency of the potential customer.

Meanwhile, the transceiver 130 of the server 100 performs a function of transmitting the advertisement content determined by the processor 110 to the user terminal 200 .

When explaining the operating principle of the system 1000 according to an embodiment of the present invention, first, the transceiver 130 of the server 100 transmits advertisement contents of various categories for which the advertiser has requested advertisements through the user terminal 200 . The advertisement contents received from the manager terminal (not shown) and received by the transceiver 130 are classified by category and stored in the storage device 160 of the server 100 .

On the other hand, whenever a potential customer runs an application through the user terminal 200 in which applications such as various categories of applications are installed, usage information of the corresponding application is generated in the user terminal 200 and transmitted to the server 100 . Accordingly, the transceiver 130 of the server 100 cumulatively receives the usage information of the user's application program from the user terminal 200, and the received application program usage information is stored in the storage device 160 do.

In implementing the present invention, the usage information transmitted to the server 100 may preferably include category information of the executed application program, execution time information of the corresponding application program, execution time information of the corresponding application program, and the like. The usage information stored in the storage device 160 of the server 100 may be in the form of Table 1 below for each specific potential customer.

[Table 1]

Accordingly, the processor 110 of the server 100 analyzes the propensity of the potential customer as shown in Table 2 below based on the accumulated usage information for each period as shown in Table 1 above.

[Table 2]

That is, the processor 110 of the server 100 accumulates and calculates the usage time for each category of the application executed by the potential customer, and the cumulative use of the application for each category in the total usage time of the program of the potential customer. By calculating the percentage of time occupied, the propensity value for each category of the potential customer is calculated.

Then, the processor 110 of the server 100 determines the advertisement content corresponding to the analyzed tendency of the potential customer. Specifically, the processor 110 of the server 100 calculates each calculated as in Table 2 Among the propensity values for each category, a category having a propensity value exceeding 20%, which is a predetermined reference value, is determined as a category matching the propensity of the potential customer.

That is, in Table 2, sports and financial technology are determined as categories that match the propensity of the corresponding potential customer, and the processor 110 of the server 100 stores sports among advertisement contents stored for each category in the storage device 160 of the server 100 . Advertisement content stored after being classified into a category or financial category is determined as advertising content that meets the customer's inclination.

Then, the transceiver 130 of the server 100 transmits the advertisement content determined by the processor 110 to the corresponding user terminal 200 . On the other hand, in transmitting the advertisement content to the user terminal 200, based on the usage information of the form shown in Table 1 stored in the storage device 160 of the server 100, having the same category as the advertisement content You might even be able to send your application in the time period that your prospect was most recently running.

That is, the most recent time that the potential customer used the sports-related application is "2010.10.02/PM02:25", so when the server 100 transmits sports-related advertisement content, it is transmitted around 2 PM. it would be preferable

The server 100 according to the embodiments: collects a user ID and a usage URL from network traffic data, stores it in the storage device 160 , receives the analysis target URL, and recalls the user ID that called the analysis target URL. It is possible to search from the storage device 160 , analyze customer information corresponding to the searched user ID, and recommend an advertisement medium based on the customer information.

The analyzing of the customer information may include: extracting information on a group of customers who prefer the analysis target URL based on the analyzed customer information including a list of preferred advertisement media; may include

The step of recommending the advertisement medium includes creating an analysis report for a plurality of advertisement media based on the extracted information on the customer group that prefers the analysis target URL, but based on the information of the used URL and the customer group analyzing the portal category used by the customer group; analyzing the analysis target category based on the analysis target URL and information on the customer group; and recommending each advertisement medium based on the analyzed portal category and the analysis target category. may include

The processor 110 may collect a user ID and a usage URL from the network traffic data and store it in the storage device 160 . In addition, the processor 110 may collect a user ID and application execution information from the network traffic data and store the collected information in the storage device 160 .

When receiving the analysis target URL from the manager terminal (not shown), the processor 110 may search the storage device 160 for a user ID that called the analysis target URL. At this time, the analysis target URL may be converted into an IP address such as '10.214.35.53', '10.127.53.55', and '10.234.45.69', and the processor 110 corresponds to the analysis target URL through the IP address corresponding to the URL. The ID of the user accessing the IP address may be retrieved from the storage device 160 . In addition, upon receiving the analysis target service, the processor 110 may search the storage device 160 for a user ID that executed an application related to the analysis target service. In this case, the processor 110 may receive an analysis target URL and an analysis target service corresponding to various categories such as games, shopping, sports, movies, and music from the manager terminal (not shown).

For example, suppose you want to select an advertising medium for advertising for a new game promotion. In this case, conditions such as an advertisement budget, an analysis period, and an analysis target may be set. The processor 110 may collect a user ID who mainly uses a game, a usage URL, and execution information of an application from network traffic data based on a set condition.

The processor 110 may analyze customer information corresponding to the searched user ID. In this case, the customer information may include age, gender, region, and the like. In addition, the customer information may include a list of preferred advertising media. For example, if the analysis target URL corresponding to the game category or the ID of the user who called the analysis target service was found as 'User 1', 'User 2', 'User 3', 'User 4', and 'User 5'. Let's assume The processor 110 may analyze customer information on 'User 1', 'User 2', 'User 3', 'User 4', and 'User 5'. The customer information of 'User 1' may be 'Teenagers' for age, 'Male' for gender, and 'Seoul' for region. The customer information of 'User 2' may be '20's' age, 'male' gender, and 'Busan' as the region. The customer information of 'User 3' may be '20's' age, 'male' gender, and 'Suwon' region. The customer information of 'User 4' may be '20's' age, 'male' gender, and 'Daegu' as the region. The customer information of 'User 5' may be '30s' for age, 'male' for gender, and 'Incheon' for region.

The processor 110 may recommend an advertisement medium based on customer information. In this case, the processor 110 may extract information on a group of customers who prefer a game category through the analyzed customer information. For example, the information about the extracted customer group may be '20's' for age, 'male' for gender, and 'metropolitan' for region. The processor 110 may analyze and extract an advertisement medium preferred by the customer group through the extracted customer group. For example, the processor 110 may analyze and extract an advertisement medium mainly used by 'a man in his twenties living in a large city'. At this time, when the advertisement media mainly used by 'men in their twenties living in large cities' are 'Daum ^TM ' and 'Naver ^TM ' in the portal category, and 'game magazine' in the game category, the processor 110 performs advertisement 'Naver ^TM ', 'Daum ^TM ' and 'game magazine' can be recommended as media.

The processor 110 may create an analysis report for a plurality of advertisement media, and the analysis report may include information on an optimal advertisement medium and customer information. ^{For example, the processor 110 may create an analysis report including 'Naver TM} ', 'Daum ^TM ' and 'game specialized magazine' as an advertisement medium suitable for promoting a new game. The processor 110 may store the prepared analysis report in the storage device 160 .

Effects obtainable from the embodiments are not limited to the effects mentioned above, and other effects not mentioned are clearly derived and understood by those of ordinary skill in the art based on the detailed description below. can be

Embodiments may be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the computer-readable medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software.

Examples of computer-readable media may include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions may include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as at least one software module to perform the operations of the present invention, and vice versa.

In addition, the above-described method or apparatus may be implemented by combining all or part of its configuration or function, or may be implemented separately.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art can variously modify and change the present invention within the scope without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that it can be done.

Claims (5)

A server operating a platform for recommending an advertisement position in which at least one display is installed among advertisement positions in which a plurality of displays are installed,
processor; and
a memory for storing instructions instructing the processor to perform at least one step;
The processor is:
receiving and storing visitor information in the memory from the plurality of displays;
Analyze the visitor information to form visitor data,
Receive target customer information from the user server,
extracting visitor data including the target customer information from among the visitor data;
transmitting, to a user server, information on an advertisement location in which a recommended display including the extracted visitor data is installed among the plurality of displays;
The processor is:
Determine the styling information included in the image information of the target customer, wherein the styling information includes at least one of a category of an item worn by the target customer included in the image information of the target customer, a brand of the item, and an average price of the item do,
comparing the styling information with the visitor's image information;
Determining the similarity between the styling information and the visitor's image information and extracting it as the visitor data,
The determination of the similarity is based on the degree of similarity calculated based on the following equation,
[Equation]

S indicates the degree of similarity, A indicates category information of the item, B indicates brand information of the item, C indicates average price information of the item, F indicates floating population information, a ₁ , a ₂ , a ₃ represents the weights for A, B, and C, respectively. The method of claim 1,
The visitor data includes at least one of an age of a visitor, a gender of the visitor, a residence time of the visitor, and floating population information. 3. The method of claim 2,
The server, wherein the visitor information includes image information of the visitor, and the target customer information includes image information of the target customer. delete delete

Images