KR20090103457A - System and method for advertisement using shopping trend - Google Patents

Abstract

PURPOSE: A system for performing an advertisement by using the shopping trend and a method thereof are provided to offer an optimized advertisement which is matched with the taste of a user, and reflect ever-changing purchase actions of users to an advertisement in real time. CONSTITUTION: A system for performing an advertisement by using the shopping trend comprises the following steps of: ranking merchandises of a shopping mall to be advertised(S220); generating a shopping trend advertisement related to the shopping mall by using a list of the ranked merchandises(S230); and exposing the generated shopping trend advertisement(S240).

Description

System and method of advertising using shopping trends {SYSTEM AND METHOD FOR ADVERTISEMENT USING SHOPPING TREND}

The present invention relates to a system and method for performing advertisement using a shopping trend, and more particularly, to a real-time advertisement generation system and method for automatically generating and exposing an advertisement by extracting a list of popular items for a specific category of a specific shopping mall at predetermined time intervals. It is about.

In an advertisement method through a web page, a method of placing a banner advertisement or the like within a specific web page and advertising a specific product or service is used. For example, when a user searches for a news article or the like through a portal site or the like, an advertisement method of inducing a user's interest by displaying a banner advertisement or the like on a web page on which the news article is displayed is used. However, such banner advertisements in the related art have a lot of random advertisements irrespective of the user's interests and preferences, thus making it difficult to provide useful product information to the user, thus making it difficult to obtain the user's attention. did.

Therefore, there is an urgent need for a method that enables users to grasp the latest trendy products and the like and expose them in real time.

The present invention provides an advertisement performance system and method capable of providing an advertisement optimized for a user's taste by providing a popular product of interest to the user.

The present invention provides an advertisement performance system and method that can induce more purchases by extracting a product with high purchase degree of users to expose the advertisement.

The present invention extracts popular items at predetermined time intervals and automatically generates advertisements, thereby eliminating the need for creative production. Also, the present invention provides a system and method for performing advertisements that can reflect changes in purchasing degree of users in real time. to provide.

The present invention allows an advertiser to set a category of an advertisement progressing product, and thus provides an advertisement performance system and method that can selectively provide advertisements according to the space on which an advertisement is exposed or the intention of the advertiser.

The present invention provides a system and method for performing advertisements that can automatically check inventory by excluding a sale product whose inventory is less than or equal to a reference number.

The present invention provides an advertisement performance system and method that can record a specific product selected by a user through the generated advertisement exposure to calculate advertisement progress result data through the advertisement.

According to an embodiment of the present invention, an advertisement performing method using shopping trends comprises ranking a sale product of an advertisement target shopping mall and generating a shopping trend advertisement associated with the advertisement target shopping mall using the ranked product list. And exposing the generated shopping trend advertisement.

According to an aspect of the present invention, the method of performing an advertisement using a shopping trend may further include determining an advertisement progress category for the shopping trend advertisement.

Advertisement performance system using a shopping trend according to an embodiment of the present invention to generate a shopping trend advertisement associated with the advertisement target shopping mall by using a shopping server for ranking the sale products of the advertisement target shopping mall, the ranked product list It includes an ad server for.

According to an aspect of the present invention, an advertisement performance system using a shopping trend may further include a bridge server that receives the ranked product list from the shopping server and provides the same to the advertisement server.

According to an aspect of the present invention, in the advertisement performance system using the shopping trend, the shopping server, the shopping database for storing product information of the advertisement target shopping mall and the products of the advertisement target shopping mall are ranked and the ranked It may further include a popular item ranking list extraction unit for extracting a product list.

According to an aspect of the present invention, in an advertisement performance system using a shopping trend, the popular item ranking list extracting unit may calculate the popular item ranking using at least one of a purchase count, a click count, and a search count for each product. .

According to the present invention, it is possible to provide an advertisement performance system and method that can provide an advertisement optimized for a user's taste by providing a popular product of interest to the user.

According to the present invention, it is possible to provide an advertisement performance system and method that can induce more purchases by extracting a product having a high degree of purchase by users and displaying the advertisement.

According to the present invention, by automatically generating an advertisement by extracting a popular product at a predetermined time interval, and does not require the production of a separate creative, advertising performance system that can reflect the changes in the purchase degree of users who change every moment in real time and It may provide a method.

According to the present invention, it is possible to provide an advertisement performance system and method that allows an advertiser to set a category of an advertisement progressing product so as to selectively provide an advertisement according to the ground on which the advertisement is exposed or the intention of the advertiser.

According to the present invention, it is possible to provide an advertisement performance system and method which can automatically check inventory by excluding the sale products whose inventory is less than or equal to the reference number.

According to the present invention, when a specific product is selected by the user through the generated advertisement exposure, it is possible to provide an advertisement performance system and method that can record the advertisement progress result data through the advertisement.

1 is a diagram illustrating an overview of a system for generating a real-time advertisement through extraction of popular goods according to one embodiment of the present invention.

2 is a flowchart illustrating a method of generating a real time advertisement by extracting a popular product according to an embodiment of the present invention.

3 is a diagram illustrating a specific process of extracting a ranked product list and generating an advertisement according to one embodiment of the present invention.

4 is a block diagram illustrating a configuration of a system for generating a real time advertisement by extracting a popular product according to an embodiment of the present invention.

FIG. 5 is a block diagram illustrating an internal configuration of an advertisement generation unit in an embodiment of the present invention.

FIG. 6 is a diagram illustrating an example of an advertisement exposure screen through a real-time advertisement generation method through popular product extraction according to one embodiment of the present invention.

<Explanation of symbols for the main parts of the drawings>

101: advertiser terminal

102: shopping server

103: ad server

104: Web page

610: Ad field

Hereinafter, with reference to the contents described in the accompanying drawings will be described in detail an embodiment according to the present invention. However, the present invention is not limited or limited by the embodiments. Like reference numerals in the drawings denote like elements.

1 is a view showing an overview of an advertisement performance system using a shopping trend in an embodiment of the present invention.

Referring to FIG. 1, the advertisement server 103 selects a shopping mall to be advertised and a product category of the shopping mall. In this case, the selection of the shopping mall may be selected according to a predetermined criterion from a shopping mall list previously stored in the advertisement server 103, and in the case of a product category, may be determined by a category selected by an advertiser. That is, the advertiser can freely select a product category through the advertiser terminal 101 or the like, and extract the popularity ranking of the product with respect to the selected category.

When the shopping server 102 receives a request for transmitting a popular item ranking list for the selected shopping mall and the selected product category from the advertisement server 103, the shopping server 102 transmits the popular item ranking list to the advertisement server 103. At this time, there may be a bridge server (not shown) between the shopping server 102 and the ad server 103, the request of the popular item ranking list for the shopping server 102 and the popularity of the ad server 103 The transmission of the merchandise ranking list may proceed via a bridge server. The request and transmission of the popular product ranking list via the bridge server will be described in detail below with reference to FIG. 4.

In addition, in ranking the popular item list and maintaining the ranking data, the shopping server 102 may rank the items according to a predetermined criterion at a predetermined time interval and store the ranking data.

The advertisement server 103 receives the popular item ranking list from the shopping server 102, and then generates advertisement data by combining the advertisement basic data stored in the advertisement server 103 and the popular item ranking list and based on the advertisement data. The advertisement is generated and exposed to the web page 104 or the like.

2 is a flowchart illustrating a method of performing advertisement using a shopping trend according to an embodiment of the present invention.

Referring to FIG. 2, in operation S210, detailed information on advertisement generation through extraction of popular items may be set. In this case, the detailed information for generating the advertisement may include at least one of an advertisement target shopping mall and a product category.

Here, in the case of the product category, it is possible to freely select according to the needs of the advertiser, and one or more categories may be selected. That is, the advertiser may set the category of the advertisement progress product, and the advertisement may be selectively provided according to the ground where the advertisement is exposed or the intention of the advertiser. In this case, when only one category is selected, the ranking list may be extracted only for the corresponding category, and when the plurality of categories is selected, the ranking list may be extracted by combining the plurality of categories.

In step S220, a ranking process for the selected shopping mall and product category is performed. The ranking process may proceed according to a predetermined criterion for each preset time. For example, if there is a request of a popular item ranking list for a shopping mall and a product category selected from an advertisement server, the shopping server performs a ranking process for products in the product category at intervals previously stored (ex. 5s). . That is, by extracting a popular product at a predetermined time interval to generate an advertisement, it is possible to reflect the change in the purchase degree of users who change every time in the advertisement in real time.

In this case, the ranking process of each product may be performed according to a preset criterion, and the preset criterion may include at least one of a purchase count, a click count, and a search count for each product. For example, a ranking score may be extracted for each of the products in the selected category, and the ranking score may be sold according to the weighted sum of the weighted sums of the number of purchases, clicks, and searches for each product. You can rank products. Here, if there are a plurality of selected categories, a ranking score may be extracted for all products in the plurality of categories, and the popular products may be ranked based on the extracted ranking score.

In addition, the ranking of each product can be performed excluding the sale products whose inventory is equal to or less than the reference number. If the inventory is less than the reference number, the advertisement may be exposed, so even if the user selects it, the sales may not be smooth. Therefore, in this case, since the inventory of the product is continuously checked in each product ranking process, there may be an effect of automatically checking the inventory with the advertisement generation.

In step S230, a list of products ranked in step S220 is extracted, and a real-time advertisement is generated based on the extracted product list. That is, by generating an advertisement using the list of the ranked products, the user can provide a popular product of interest to the user, the user can see the latest fashion products through the advertisement, even from the advertiser's point of view By extracting a high-purchase product of the advertisement and advertising, it is possible to induce more purchases.

In this case, the process of extracting the ranked product list may be performed every predetermined time or at the request of the advertisement server. Here, the specific process of step S230 will be described in more detail below with reference to FIG. 3.

In step S240, the advertisement generated in step S230 is exposed to a web page. The exposure of the generated advertisement may include not only a web page but also various application programs, messengers, and various other media to which the advertisement may be exposed.

3 is a diagram illustrating a specific process of extracting a ranked product list and generating an advertisement according to one embodiment of the present invention.

Referring to FIG. 3, in step S301, the ranked popular item ranking list is requested to generate advertisement data using the list of items ranked in step S220. In this case, the popular item ranking list is data that changes with time, and the request for the popular item ranking list may be performed at a predetermined time so that the changed product ranking list according to the change of time may be periodically reflected in the advertisement.

For example, it is possible to request a list of a predetermined number (ex. Top 10) of the list of products ranked in step S220, and to transmit a product ranking list that changes every predetermined time (ex. 5s). You can request

In step S302, advertisement data is generated based on the popular item ranking list. In this case, the advertisement data may be generated using the popular item ranking list data and advertisement basic data previously stored in the advertisement server. Therefore, by automatically generating an advertisement by extracting the popular product ranking list data and the advertisement basic data pre-stored in the advertisement server, an advertisement material production is not required separately, and an advertiser or the like can reduce the burden of the material production during advertisement production.

For example, the list of the top 10 popular items may be received and combined with the basic data previously stored in the advertisement server to generate Xml data.

In operation S303, a real time advertisement may be generated using the generated advertisement data. For example, the advertisement to be finally displayed may be generated using the Xml data generated in step S302. In this case, when the user selects a product through a mouse click for each product of the ranking, the method may further include setting a link to each product to move to the corresponding shopping mall product information page. That is, the link setting for each product can directly go to the detailed information page for each product.

4 is a block diagram illustrating a configuration of a system for generating a real time advertisement by extracting a popular product according to an embodiment of the present invention.

Referring to FIG. 4, the real-time advertisement generation system through popular product extraction includes a shopping server 410, a bridge server 420, and an advertisement server 430.

The shopping server 410 stores shopping mall product information and performs a ranking process for products in the selected category. In this case, the shopping server 410 may include a shopping DB 412 for storing information of a shopping mall product and a popular product list extracting unit 411 for extracting a ranking list for products in a selected category of the shopping mall.

The shopping DB 412 may store detailed information about the products sold in the shopping mall, and may include at least one of the number of purchases for each product, the number of times the product is clicked, and the number of times the product is searched.

The popular item list extracting unit 411 calculates a product ranking in the selected category and extracts the calculated popular product ranking list. In this case, the product ranking may be performed every predetermined time, and the product ranking may be calculated according to a predetermined criterion.

For example, if the number of purchases, clicks, and search counts for each product is set in advance as a criterion for calculating the product ranking, the ranking score is calculated by weighting each criterion, and each product is calculated according to the calculated ranking score. Can be ranked. As a specific example of calculating the ranking score, the ranking score may be calculated by adding all of the number of purchases of each product multiplied by X, the number of clicks multiplied by Y, and the number of retrieval times multiplied by Z. (Where X, Y, and Z are values determined by experiments and the like, they may be values that may vary depending on the specific situation.)

That is, by using the criteria that can reflect the shopping trends such as the number of purchases, clicks, and search counts for each product as the criteria for ranking the products, the advertisements are generated and exposed by reflecting the current shopping trends in the advertisements. It can provide an optimized advertisement for.

The bridge server 420 may receive and maintain the popular item ranking list from the shopping server 410 and provide it to the advertisement server 430. At this time, the bridge server 420 bridge DB 421 for storing the list of popular items received from the shopping server 410 and the bridge log storage unit 422 for calculating and storing the advertisement progress result data through the advertisement It may include.

The bridge DB 421 may access the shopping server 410 every predetermined time or whenever the advertisement server 430 requests and extract a list of popular items for the shopping mall and store it. That is, since the popular item ranking list is data that changes with time, the bridge DB 421 may update the popular item ranking list data by accessing the shopping server 410 every predetermined time.

The bridge log storage unit 422 may record and store such a situation when a specific product is selected by the user through a generated advertisement exposure and calculate and store the advertisement progress result data through the advertisement. For example, after calculating and storing a situation in which the product is selected (ex. Clickthrough rate, etc.), the advertisement progress result may be reported when an advertiser or the like requests.

The advertisement server 430 receives the popular item ranking list and generates a real time advertisement. In this case, the advertisement server 430 uses the advertisement DB 431 to store the advertisement basic data, the shopping mall list storage unit 432 to store the advertisement target shopping mall list, and the advertisement to generate the advertisement using at least one of the advertisement basic data. The generation unit 433 may be included.

The shopping mall list storage unit 432 stores a list of the advertisement target shopping malls to be advertised. Here, the shopping mall list storage unit 432 selects a specific shopping mall to be advertised and at least one product category to be advertised among the shopping malls stored in the shopping mall list, and transmits the same to the advertisement DB 431. In this case, the selection of the shopping mall may be selected arbitrarily or according to a predetermined rule according to a predetermined criterion. For example, weights according to the advertisement fee may be set for a plurality of stored shopping mall lists to be arbitrarily selected. That is, the number of advertisement exposures may be adjusted according to the advertisement fee by selecting the shopping mall of the advertiser paying the advertisement fee more times. In addition, in the case of a product category, an advertiser may freely set it through the advertiser terminal 440, and the like, and produce an advertisement based on the set value.

The advertisement DB 431 stores advertisement basic data, which is a basic material, for generating advertisements, and requests a bridge server for a popular item ranking list for the selected shopping mall and category. For example, if the G-market is selected as the shopping mall to be advertised and the household appliances of the G-market are selected as the product category, the bridge server 420 may request the top 10 popular items ranking of the household appliances of the G-market. have.

In addition, in the advertisement generation, by using the pre-stored advertisement basic data together with the ranked list of popular products, it is not necessary to separately produce the creative material, it is possible to reduce the burden of the production of the material during the production of the advertisement.

The advertisement generator 433 finally generates an advertisement displayed on the web page 450 or the like based on the popular product ranking list received by the request of the advertisement DB 431. A detailed description and specific internal configuration of the advertisement generating unit 433 will be described below with reference to FIG. 5.

FIG. 5 is a block diagram illustrating an internal configuration of an advertisement generation unit in an embodiment of the present invention.

Referring to FIG. 5, the advertisement generating unit 433 may receive a popular item list from the bridge server at a predetermined time interval, and the advertisement product generating advertisement data based on the received popular item list. The data generating unit 502 may include a link setting unit 503 for setting a link to the product information page of the shopping mall for each product exposed to the advertisement.

The popular item list receiving unit 501 receives a ranked list of popular items at predetermined time intervals. Therefore, the shopping trends of the users who are changing from time to time may be updated at predetermined time intervals to reflect the changing shopping trends in real time.

For example, in the case of the popular item ranking list, it may change according to a change in time, and thus, the updated popular item ranking list may be received from the bridge server at a predetermined time interval (ex. 5s).

The advertisement data generator 502 generates data to be used in an advertisement using the received popular item ranking list. For example, the advertisement Xml data may be generated by combining the TOP 10 list received from the bridge server and the advertisement basic data stored in the advertisement DB. Therefore, an advertisement can be generated using the popular item ranking list and the advertisement basic data without producing an additional creative.

The link setting unit 503 may set a link to the information page of the corresponding product for each product exposed to the advertisement. That is, when a user selects a specific product in the exposed advertisement through a button click or the like, a link may be set for each product to move to the web page where the information of the product is posted.

Therefore, when the user selects the corresponding product through a click or the like, the user is directed to the detailed information page of each product to facilitate user convenience.

For example, if the list of exposed advertisements is a list of electronic products in the G-Market and the user is interested in the mobile phone that ranks second, the user may click on the mobile phone in the advertisement, in which case the detailed information of the mobile phone, You may be directed to the web page of the G-market where the seller information and the like are posted.

FIG. 6 is a diagram illustrating an example of an advertisement exposure screen through a real-time advertisement generation method through popular product extraction according to one embodiment of the present invention.

Referring to FIG. 6, when a user browses a specific article through an online search for an article, a real time advertisement may be displayed on a corresponding web page in the form of a banner advertisement. That is, the real time advertisement may be displayed in the predetermined field 610 on the web page to which the advertisement is to be exposed, and the exposed real time advertisement is generated based on the ranked list of products in a specific category of a specific shopping site. Ads can be displayed.

That is, as shown in FIG. 6, an advertisement for the electronic product category of the G-market is exposed on the predetermined field 610, and a list of products for each rank may be displayed in a line at the bottom of the advertisement field 610. have. In this case, when a specific ranking product at the lower end of the advertisement field 610 is selected, a large image 611 of the selected product may be provided at the upper end of the advertisement field. In this case, when the user wants to obtain detailed information such as more detailed product information and seller information, the user may select a large image 611 through a mouse click, etc. In this case, the user may move to a web page where detailed information of the corresponding product is displayed. .

Here, the advertisement exposure may be performed not only on a web page but also on various applications in which advertisements may be displayed, such as a messenger, and various other media in which advertisements may be displayed.

In addition, the method of performing advertisement using shopping trend according to an embodiment of the present invention includes a computer readable medium including program instructions for performing operations implemented by various computers. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. The medium or program instructions may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like.

As described above, the present invention has been described by way of limited embodiments and drawings, but the present invention is not limited to the above-described embodiments, which can be variously modified and modified by those skilled in the art to which the present invention pertains. Modifications are possible. Accordingly, the spirit of the present invention should be understood only by the claims set forth below, and all equivalent or equivalent modifications thereof will belong to the scope of the present invention.

Claims (22)

Ranking the sale items of the advertisement target shopping mall; Generating a shopping trend advertisement associated with the advertisement target shopping mall using the ranked product list; And Exposing the generated shopping trend ad Method of performing advertising using a shopping trend comprising a. The method of claim 1, Determining an advertisement progress category for the shopping trend advertisement Method of performing advertising using a shopping trend further comprising a. The method of claim 2, The ranking of the sale products of the advertisement target shopping mall, Ranking sales items included in the advertisement progress category, Exposing the generated shopping trend advertisement, The method of claim 1, wherein the generated shopping trend advertisement is exposed together with the advertisement progress category. The method of claim 1, The ranking of the sale products of the advertisement target shopping mall, Method of performing advertising using a shopping trend, characterized in that the ranking is excluded except for the sale of the product is less than the standard number of stock. The method of claim 1, The ranking of the sale products of the advertisement target shopping mall, A method for performing advertising using shopping trends, comprising ranking products for sale by using at least one of a purchase count, a click count, and a search count for each product. The method of claim 5, The ranking of the sale products of the advertisement target shopping mall, The method of performing advertising using a shopping trend, wherein the products are ranked according to the size of the weighted sum, which is obtained by applying weights to the purchase count, the click count, and the search count for each product. The method of claim 1, The generating of the shopping trend advertisement associated with the advertisement target shopping mall by using the ranked product list may include Requesting a ranked product list for the shopping mall and at least one product category; Receiving the requested ranked product list and generating advertisement data; And Generating a shopping trend advertisement using the advertisement data Method of performing advertising using a shopping trend comprising a. The method of claim 7, wherein The step of generating the advertisement data by receiving the requested ranked product list, The method of claim 1, wherein the advertisement data is generated including the ranked product list. The method of claim 1, Setting a link to a corresponding product information page for each product exposed through the generated advertisement Method of performing advertising using a shopping trend further comprising a. The method of claim 1, Analyzing an advertisement progress result of the shopping mall by checking whether a product exposed through the advertisement is selected; Method of performing advertising using a shopping trend further comprising a. A computer-readable recording medium in which a program for executing the method of any one of claims 1 to 10 is recorded. A shopping server for ranking the sale products of the advertisement target shopping mall; An advertisement server for generating a shopping trend advertisement associated with the advertisement target shopping mall by using the ranked product list. Advertising performance system using a shopping trend, comprising a. The method of claim 12, A bridge server for receiving and storing the ranked product list from the shopping server and providing the same to the advertisement server. Advertising performance system using a shopping trend further comprising a. The method of claim 13, The bridge server, The advertisement performance system using shopping trends, wherein the ranked product list is received and stored from the shopping server every predetermined time. The method of claim 13, The bridge server, A bridge database for storing the ranked product list received from the shopping server; And Bridge log storage unit for calculating and storing the advertisement progress result data through the advertisement Advertising performance system using a shopping trend, comprising a. The method of claim 15, The bridge log storage unit, The advertisement performance system using the shopping trend, characterized in that to record the selection of the product exposed through the generated advertisement to calculate and store the progress result data of the shopping mall advertising. The method of claim 12, The shopping server, A shopping database storing product information of the advertisement target shopping mall; And Popular item ranking list extraction unit for ranking the products of the advertisement target shopping mall and extract the ranked product list Advertising performance system using a shopping trend, comprising a. The method of claim 17, The popular item ranking list extraction unit Advertisement performance system using shopping trends, characterized in that for calculating a predetermined time or whenever there is a request for the extraction of popular item ranking list. The method of claim 17, The popular item ranking list extraction unit Advertisement performance system using the shopping trend, characterized in that to calculate the ranking of the popular product using at least one of the number of purchases, clicks and search number for each product. The method of claim 19, The popular item ranking list extraction unit Advertisement system using the shopping trend, characterized in that to rank the sale products according to the weighted sum of the sum by applying the weight to each of the number of purchases, clicks and search times for each product. The method of claim 12, The ad server A shopping mall list storage unit which stores a list of advertisement shopping malls; An advertisement database for storing advertisement basic data; And Ad generating unit for generating an advertisement using at least one of the advertisement basic data Advertising performance system using a shopping trend, comprising a. The method of claim 21, The advertisement generating unit A popular goods list receiving unit which selects one shopping mall from the shopping mall list and requests and receives a ranked product list of the selected shopping mall; An advertisement data generator configured to generate advertisement data using the popular item ranking list and the at least one advertisement basic data; And Link setting unit for setting a link to the corresponding page for each product in the popular product ranking list Advertising performance system using a shopping trend further comprising a.