JP2009245425A - Advertisement execution system and method using shopping trend - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an advertisement execution system and method using a shopping trend. <P>SOLUTION: The advertisement execution method using the shopping trend includes steps of: ranking sale articles of a shopping mall for advertisement; generating shopping trend advertisement relevant to the shopping mall for advertisement using a ranked article list; and exposing the generated shopping trend advertisement. Thus, popular articles in which user gets interested are provided as advertisement, and the optimized advertisement suitable for user's tastes is provided. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to an advertisement execution system and method using a shopping trend, and more particularly, a popular product list for a specific category of a specific shopping mall is extracted every predetermined time to automatically generate and expose an advertisement. The present invention relates to a real-time advertisement generation system and method.

  In an advertising method via a web page or the like, a method of advertising a specific product or service by placing a banner advertisement or the like in a specific web page is used. For example, when a user searches for a news article or the like via a portal site or the like, an advertising method is used that induces the user's interest by placing a banner advertisement or the like on a web page on which the news article is posted. ing. However, such conventional banner advertisements are often exposed at random regardless of the user's interests and preferences, and it was difficult to provide product information useful to the user, As a result, it is difficult to obtain the user's interest and the effect of the advertisement is weak.

  Therefore, there is an urgent need for a method capable of performing advertisement exposure by grasping, in real time, the latest trendy products that users frequently search.

  The present invention has been devised to solve the above-described problems, and provides an advertisement that is optimized for the user's preference by providing popular products that the user is interested in as an advertisement. An object of the present invention is to provide an advertisement execution system and method.

  Another object of the present invention is to provide an advertisement execution system and method that can induce more purchases by extracting products that are highly purchased by users and exposing the advertisements.

  In addition, the present invention automatically generates advertisements by extracting popular products at preset time intervals, so that it is not necessary to produce separate advertisement materials, and changes in the purchase degree of users that change from moment to moment can be made into advertisements. Another object is to provide an advertisement execution system and method that can be reflected in real time.

  In addition, the present invention provides an advertisement execution system and method that enables an advertiser to set a category of an advertisement progress product and selectively provide an advertisement according to the paper surface on which the advertisement is exposed or the intention of the advertiser. The other purpose is to provide.

  Another object of the present invention is to provide an advertisement execution system and method capable of automatically checking inventory by excluding sales products whose inventory is less than or equal to the reference number and ranking.

  Furthermore, the present invention provides an advertisement execution system and method capable of recording when a specific product is selected by a user through the generated advertisement exposure and calculating advertisement progress result data through the advertisement. Another purpose is to provide it.

  In order to achieve the above-described object, an advertisement execution method using a shopping trend according to an embodiment of the present invention uses a step of ranking sales products of an advertising target shopping mall and the ranked product list. Generating a shopping trend advertisement associated with the advertisement target shopping mall, and exposing the generated shopping trend advertisement.

  The advertisement execution method using a shopping trend may further include a step of determining an advertisement progress category for the shopping trend advertisement.

  An advertisement execution system using a shopping trend according to an embodiment of the present invention relates to a shopping server that ranks sales products of an advertisement target shopping mall, and the advertisement target shopping mall using the ranked item list. And an advertisement server for generating a shopping trend advertisement.

  According to an aspect of the present invention, an advertisement execution system using a shopping trend further includes a bridge server that receives and stores the ranked product list from the shopping server and provides the received list to the advertisement server. Can do.

  According to one aspect of the present invention, in the advertisement execution system using a shopping trend, the shopping server ranks the shopping database storing product information of the advertising target shopping mall, and the products of the advertising target shopping mall, The apparatus may further include a popular product ranking list extracting unit that extracts the ranked product list.

  According to an aspect of the present invention, in the advertisement execution system using a shopping trend, the popular product ranking list extraction unit uses the at least one of the number of purchases, the number of clicks, and the number of searches for each product. Popular product ranking can be calculated.

  ADVANTAGE OF THE INVENTION According to this invention, the advertisement execution system and method which can provide the advertisement optimized according to a user's preference can be provided by providing the popular product which a user is interested as an advertisement.

  In addition, according to the present invention, it is possible to provide an advertisement execution system and method that can induce more purchases by extracting products that are highly purchased by users and exposing the advertisements.

  In addition, according to the present invention, by extracting popular products at preset time intervals and automatically generating advertisements, there is no need for separate advertisement material production, and user purchase rate changes that change from moment to moment An advertisement execution system and method that can be reflected in an advertisement in real time can be provided.

  In addition, according to the present invention, the advertiser can set the category of the advertisement progress product, and the advertisement can be selectively provided according to the page (advertisement exposure page) on which the advertisement is exposed or the intention of the advertiser. An advertisement execution system and method can be provided.

  In addition, according to the present invention, it is possible to provide an advertisement execution system and method capable of automatically checking inventory by excluding sales products whose inventory is below the reference number and ranking.

  Furthermore, according to the present invention, if a specific product is selected by the user through the generated advertisement exposure, it is recorded, and an advertisement execution system and method capable of calculating advertisement progress result data through the advertisement Can be provided.

1 is a diagram schematically showing a real-time advertisement generation system through popular product extraction in an embodiment of the present invention. FIG. 4 is a flowchart illustrating a method for generating a real-time advertisement through popular product extraction according to an exemplary embodiment of the present invention. FIG. 6 is a diagram illustrating a specific process of generating an advertisement by extracting a ranked product list in an embodiment of the present invention. 1 is a block diagram for explaining a configuration of a real-time advertisement generation system through popular product extraction in an embodiment of the present invention. FIG. In one Embodiment of this invention, it is a block diagram for demonstrating the internal structure of an advertisement production | generation part. 6 is a diagram illustrating an example of an advertisement exposure screen using a real-time advertisement generation method through popular product extraction according to an exemplary embodiment of the present invention.

  Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings, but the present invention is not limited or limited by these embodiments. In the drawings, the same reference numerals denote the same members.

  FIG. 1 is a diagram schematically showing an advertisement execution 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 (also referred to as an online shopping mall, a cyber shopping mall, or an electronic shopping mall) and a merchandise category of the shopping mall. At this time, the corresponding shopping mall can be selected according to a preset criterion from a shopping mall list stored in advance in the advertisement server 103, and in the case of a product category, based on the category selected by the advertiser. Can be determined. In other words, the advertiser can freely select a product category via the advertiser terminal 101 and the like, and extracts the popularity ranking of the product for the selected category.

  When the shopping server 102 is requested to transmit the popular product ranking list for the selected shopping mall and the selected product category from the advertising server 103, the shopping server 102 transmits the popular product ranking list to the advertising server 103. At this time, a bridge server (not shown) can exist between the shopping server 102 and the advertisement server 103. The request for the popular product ranking list to the shopping server 102 and the transmission of the popular product ranking list to the advertising server 103 are as follows: It can proceed via a bridge server. The request and transmission of the popular item ranking list through the bridge server will be described in detail with reference to FIG.

  In order to rank the popular product list and hold the ranking data, the shopping server 102 ranks the products according to a preset criterion at a preset time interval and stores the ranking data. be able to.

  After receiving the popular product ranking list from the shopping server 102, the advertising server 103 combines the advertising basic data stored in the advertising server 103 with the popular product ranking list to generate advertising data, and generates an advertisement based on the advertising data. Then, it is exposed on the web page 104 or the like.

  FIG. 2 is a flowchart illustrating an advertisement execution method using a shopping trend in an embodiment of the present invention.

  Referring to FIG. 2, in step S210, advertisement generation detailed information through popular product extraction can be set. At this time, the detailed information for generating the advertisement may include at least one of the advertisement target shopping mall and the product category.

  Here, in the case of the product category, it can be freely selected according to the needs of the advertiser, and one or more categories can be selected in a plurality. That is, the advertiser can set the category of the advertisement progress product, and the advertisement can be selectively provided according to the page on which the advertisement is exposed or the intention of the advertiser. At this time, when only one category is selected, a rank list can be extracted only for the corresponding category, and when a plurality of categories are selected, a plurality of categories can be integrated to extract a rank list.

  In step S220, the ranking process for the selected shopping mall and merchandise category is advanced. The ranking process can proceed according to preset criteria for each preset time. For example, if there is a request for a popular merchandise ranking list for a shopping mall and a merchandise category selected from the advertisement server, the shopping server ranks the ranking process for the products in the merchandise category at an interval stored in advance (eg, 5 seconds). To proceed. That is, by extracting popular products at preset time intervals and generating advertisements, it is possible to reflect in real time changes in the user's purchase rate that change from moment to moment.

  At this time, the ranking process of each product can proceed according to a preset criterion, and the preset criterion includes at least one of the number of purchases, the number of clicks, and the number of searches for each product. be able to. For example, the ranking score can be extracted for each product in the selected category, and the ranking score is added by applying weights to the number of purchases, the number of clicks, and the number of searches for each product. Sales products can be ranked according to the size of. Here, if there are a plurality of selected categories, rank scores can be extracted for all the products in the plurality of categories, and popular products can be ranked based on the extracted rank scores.

  Further, the ranking of each product can be executed by excluding sales products whose inventory is below the reference number. If the inventory is less than the reference number, even if the advertisement is exposed and the user selects it, there is a possibility that the sales will not be smoothly performed. Therefore, in such a case, since the stock of the product is continuously checked in each product ranking process, an effect of automatically checking the stock together with the advertisement generation may be generated.

  In step S230, the 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 ranked list of products, it is possible to provide popular products that the user is interested in as advertisements, and the user can view the latest trendy products through the advertisements. Also, from the advertiser's standpoint, more purchases can be induced by extracting products with a high degree of purchase by the user and exposing the advertisement.

  At this time, the process of extracting the ranked product list can be executed every preset time or every time the advertisement server requests. Here, the specific process of step S230 will be described in more detail with reference to FIG.

  In step S240, the advertisement generated in step S230 is exposed on a web page or the like. At this time, the generated advertisement exposure may include not only a web page but also various applications, messengers, and other various media capable of exposing the advertisement.

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

  Referring to FIG. 3, in step S301, a ranked popular product ranking list is requested in order to generate advertisement data using the list of products ranked in step S220. At this time, since the popular product ranking list is data that changes according to changes in time, the popular product ranking list is requested every preset time, and the changed product ranking list due to the change in time is displayed. It can be reflected periodically in the advertisement.

  For example, it is possible to request a list (inventory) of a predetermined number (eg, top 10 items) of the product list ranked in step S220, or set a predetermined time (eg, 5). It is also possible to request transmission of a product ranking list that changes every second).

  In step S302, advertisement data is generated based on the popular product ranking list. At this time, the advertisement data can be generated using the popular product ranking list data and the advertisement basic data stored in advance in the advertisement server. Therefore, since the advertisement is automatically generated by extracting the popular product ranking list data and the advertisement basic data stored in advance in the advertisement server, there is no need for separate advertisement material production. The production burden can be reduced.

  For example, XML data can be generated by receiving a list of top 10 popular products and combining with basic data stored in advance in an advertisement server.

  In step S303, a real-time advertisement can be generated using the generated advertisement data. For example, an advertisement to be finally exposed can be generated using the XML data generated in step S302. At this time, if the user selects a product with a mouse click or the like for each ranking product, the method may further include a step of setting a link to each product so that the user can move to the corresponding shopping mall product information page. That is, it is possible to move directly to the detailed information page for each product via the link setting for each product.

  FIG. 4 is a block diagram for explaining a configuration of a real-time advertisement generation system through popular product extraction 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 executes a ranking process for products in the selected category. At this time, the shopping server 410 includes a shopping database (DB) 412 for storing information on shopping mall products and a popular product list extracting unit 411 for extracting a ranking list for products in a selected category of the shopping mall. Can be provided.

  The shopping database 412 stores detailed information on 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 has been clicked, and the number of times the product has been searched.

  The popular product list extraction unit 411 calculates the product ranking within the selected category, and extracts the calculated popular product ranking list. At this time, the merchandise rank calculation can be advanced every preset time, and the merchandise rank can be calculated according to a preset criterion.

  For example, if the number of purchases, the number of clicks, and the number of searches for each product are set in advance as the criteria for calculating the product ranking, the ranking score is calculated by placing a weight on each criterion, and the calculated ranking score is calculated. Each product can be ranked accordingly. As a specific example of calculating the ranking score, the ranking score is calculated by adding all the product purchase times multiplied by X, click times multiplied by Y, and search times multiplied by Z. (Here, X, Y, and Z are values determined based on experiments, etc., and can be varied according to specific situations).

  That is, by using criteria that can reflect shopping trends such as the number of purchases, clicks, and searches for each product as criteria for ranking products, the current shopping trend is reflected in the advertisement and an advertisement is generated and It is possible to provide an advertisement that is exposed and optimized to the user's preference.

  The bridge server 420 can receive and maintain a popular product ranking list from the shopping server 410 and provide it to the advertisement server 430. At this time, the bridge server 420 may include a bridge database 421 that stores the popular product ranking list received from the shopping server 410 and a bridge log storage unit 422 that calculates and stores advertisement progress result data via advertisements.

  The bridge database 421 can connect to the shopping server 410 every time set in advance or every time the advertisement server 430 requests, extract (acquire) a popular product ranking list for the shopping mall, and store it. That is, since the popular product ranking list is data that changes according to time, the bridge database 421 can connect to the shopping server 410 and update the popular product ranking list data for each preset time.

  The bridge log storage unit 422 calculates and calculates the advertisement progress result data through the advertisement by recording and storing such a situation when the user selects the specific product by clicking or the like through the generated advertisement exposure. Can be stored. For example, after calculating and storing a situation in which a product is selected (e.g., click rate), an advertisement progress result can be reported at the time of an advertiser request.

  The advertisement server 430 receives the popular product ranking list and generates a real-time advertisement. At this time, the advertisement server 430 generates an advertisement using an advertisement database 431 that stores advertisement basic data, a shopping mall list storage unit 432 that stores an advertisement target shopping mall list, and at least one or more advertisement basic data. A portion 433 can be provided.

  The shopping mall list storage unit 432 stores a list of advertisement target shopping malls to be advertised. Here, the shopping mall list storage unit 432 selects, from among the shopping malls stored in the shopping mall list, a specific shopping mall to be advertised and at least one product category to be advertised, and stores them in the advertisement database. To 431. At this time, the shopping mall can be selected according to an arbitrary or constant rule according to a preset criterion. For example, a weighted value based on an advertisement fee can be set for a plurality of stored shopping mall lists so as to be arbitrarily selected. That is, an advertiser's shopping mall that pays more advertising fees can be selected more frequently, and the number of times of advertising exposure can be adjusted according to the advertising fee. Further, in the case of the product category, the advertiser can freely set via the advertiser terminal 440 and the like, and the advertisement is produced based on the setting value associated therewith.

  The advertisement database 431 stores advertisement basic data, which is a basic material for generating an advertisement, and requests the bridge server 420 for a popular merchandise ranking list for the selected shopping mall and category. For example, if G-market is selected as the shopping mall to be advertised and G-market home appliances are selected as the product category, the top 10 current popular product rankings of G-market home appliances with respect to the bridge server 420. Can be requested.

  In addition, in the advertisement generation, by using the advertisement basic data stored in advance together with the ranked popular product list, it is not necessary to produce a separate advertisement material, so the burden of material production at the time of advertisement production can be reduced. .

  The advertisement generation unit 433 finally generates an advertisement exposed on the web page 450 or the like based on the popular product ranking list received in response to the request from the advertisement database 431. A detailed description and a specific internal configuration of the advertisement generation unit 433 will be described in detail with reference to FIG.

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

  Referring to FIG. 5, the advertisement generation unit 433 generates the advertisement data based on the popular product list receiving unit 501 that receives the popular product list from the bridge server at a preset time interval, and the received popular product list. And a link setting unit 503 that sets a link to the product information page of the shopping mall for each product that is exposed to the advertisement.

  The popular product list receiving unit 501 receives a ranked list of popular products at a preset time interval. Therefore, it is possible to update the shopping trend of the user that changes every moment at a preset time interval and reflect the changing shopping trend in real time.

  For example, in the case of the popular product ranking list, since it can be changed according to the change of time, the popular product ranking list updated from the bridge server can be received at a preset time interval (for example, 5 seconds).

  The advertisement data generation unit 502 generates data used for the advertisement using the received popular product ranking list. For example, the advertisement XML data can be generated by combining the popular product top 10 list received from the bridge server and the advertisement basic data stored in the advertisement database. Therefore, an advertisement can be generated using the popular product ranking list and the advertisement basic data without producing a separate advertisement material.

  The link setting unit 503 can set a link to the information page of the corresponding product for each product exposed by the advertisement. That is, when a user selects a specific product in the exposed advertisement by clicking a button, a link may be set for each product so that the user can move to a web page on which information on the product is posted. it can.

  Therefore, when the user selects the corresponding product by clicking or the like, the user immediately moves to the detailed information page of each product, which can be convenient for the user.

  For example, if the exposed advertising list is a G-market electronic product list and the user is interested in a mobile phone that is ranked second, the user can click on the mobile phone in the advertisement, In this case, it is possible to move to a G-market web page on which detailed information on mobile phones, seller information, and the like are posted.

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

  Referring to FIG. 6, when a user views a specific article through online article search or the like, a real-time advertisement can be posted on the corresponding web page in the form of a banner advertisement or the like. That is, a real-time advertisement can be placed in a preset field 610 on a web page on which the advertisement is to be exposed, and the exposed real-time advertisement is a ranked list for products in a specific category of a specific shopping site. An advertisement generated based on can be posted.

  That is, as shown in FIG. 6, an advertisement for the G-market electronic product category is exposed on a pre-selected field 610, and a product list for each rank is displayed in a row in the lower part of the advertisement field 610. be able to. At this time, when the specific order product in the lower part of the advertisement field 610 is selected, a large image 611 of the selected product can be provided in the upper part of the advertisement field. At this time, when the user wants to obtain more detailed information such as product information and seller information, the user can select a large image 611 by clicking the mouse, and in this case, the detailed information of the corresponding product is posted. You can go to a web page.

  Here, the advertisement exposure can be performed not only on the web page but also on various other media on which advertisements can be posted, such as various application programs and messengers that can place advertisements.

  In addition, the advertisement execution method using the shopping trend according to the embodiment of the present invention includes a computer-readable recording medium including program instructions for executing various operations realized by a computer. The recording medium may include program instructions, data files, data structures, etc. alone or in combination, and the recording medium and program instructions may be specially designed and configured for the purposes of the present invention, It may be known and usable by those skilled in the computer software art. Examples of computer-readable recording media include magnetic media such as hard disks, floppy (registered trademark) disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and magnetic-lights such as floppy disks. A medium and a hardware device specially configured to store and execute program instructions such as ROM, RAM, flash memory, and the like are included. The recording medium is also a transmission medium such as an optical or metal line or a waveguide including a carrier wave that transmits a signal for storing program instructions, data structures, and the like. Examples of program instructions include not only machine language 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 preferred embodiments of the present invention have been described with reference to the preferred embodiments of the present invention. However, those skilled in the relevant art will not depart from the spirit and scope of the present invention described in the claims. Thus, it will be understood that the present invention can be variously modified and changed. In other words, the technical scope of the present invention is defined based on the claims, and is not limited by the best mode for carrying out the invention.

101: Advertiser terminal 102: Shopping server 103: Advertising server 104: Web page 610: Advertising field

Claims (22)

Ranking the products sold in the advertising mall,
Generating a shopping trend advertisement associated with the advertisement target shopping mall using the ranked product list;
Exposing the generated shopping trend advertisement;
The advertisement execution method using the shopping trend characterized by including. Determining an advertisement progression category for the shopping trend advertisement;
The advertisement execution method using the shopping trend according to claim 1, further comprising: The step of ranking sales products of the advertising target shopping mall includes:
Rank sales products included in the advertisement progress category,
Exposing the generated shopping trend advertisement includes:
The advertisement execution method using a shopping trend according to claim 2, wherein the generated shopping trend advertisement is exposed together with information on the advertisement progress category. The step of ranking sales products of the advertising target shopping mall includes:
The advertisement execution method using a shopping trend according to claim 1, wherein sales products whose inventory is equal to or less than a reference number are excluded and ranked. The step of ranking sales products of the advertising target shopping mall includes:
The advertisement execution method using a shopping trend according to claim 1, wherein the sales products are ranked using at least one of the number of purchases by product, the number of clicks, and the number of searches. The step of ranking sales products of the advertising target shopping mall includes:
6. The shopping trend according to claim 5, wherein the sales products are ranked according to the ranking score obtained by adding weight values to the number of purchases by product, the number of clicks, and the number of searches. Advertising execution method using The step of generating a shopping trend advertisement associated with the advertisement target shopping mall using the ranked product list includes:
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;
Generating a shopping trend advertisement using the advertisement data;
The advertisement execution method using the shopping trend according to claim 1, further comprising: Receiving the requested ranked product list and generating advertisement data;
The advertisement execution method using a shopping trend according to claim 7, wherein advertisement data is generated including the ranked product list. Setting a link to a corresponding product information page for each product exposed through the generated advertisement;
The advertisement execution method using the shopping trend according to claim 1, further comprising: Checking whether or not a product exposed through the advertisement is selected and analyzing an advertisement progress result of the shopping mall;
The advertisement execution method using the shopping trend according to claim 1, further comprising:   The computer-readable recording medium which recorded the program for performing the method of any one of Claims 1-10. A shopping server that ranks the products sold in the advertising mall,
An advertisement server for generating a shopping trend advertisement associated with the advertisement target shopping mall using the ranked product list;
An advertisement execution system using a shopping trend characterized by comprising: A bridge server that receives and stores the ranked product list from the shopping server and provides it to the advertising server;
The advertisement execution system using the shopping trend according to claim 12, further comprising: The bridge server
The advertisement execution system using a shopping trend according to claim 13, wherein the ranked product list is received and stored from the shopping server every preset time. The bridge server
A bridge database for storing the ranked product list received from the shopping server;
A bridge log storage for calculating and storing advertisement progress result data via the advertisement;
The advertisement execution system using the shopping trend according to claim 13. The bridge log storage unit
The shopping trend according to claim 15, wherein whether or not a product exposed through the generated advertisement is selected is recorded, and the progress result data of the shopping mall advertisement is calculated and stored. Was an ad execution system. The shopping server
A shopping database for storing product information of the advertising target shopping mall;
A popular product ranking list extraction unit that ranks products of the shopping mall to be advertised and extracts the ranked product list;
The advertisement execution system using the shopping trend according to claim 12, comprising: The shopping trend according to claim 17, wherein the popular product ranking list extraction unit calculates and extracts the popular product ranking every time set in advance or when there is a popular product ranking list extraction request. Advertising execution system. The shopping trend according to claim 17, wherein the popular product ranking list extraction unit calculates the popular product ranking using at least one of the number of purchases, the number of clicks, and the number of searches for each product. Was an ad execution system. The popular product ranking list extraction unit includes:
20. The shopping according to claim 19, wherein sales products are ranked according to the magnitude of the ranking score obtained by adding weight values to the number of purchases, the number of clicks, and the number of searches for each product. An advertising execution system using trends. The advertising server
A shopping mall list storage for storing the shopping mall list to be advertised;
An ad database that stores ad basic data;
An advertisement generating unit that generates an advertisement using at least one of the advertisement basic data;
The advertisement execution system using the shopping trend according to claim 12, comprising: The advertisement generation unit 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 generation unit that generates advertisement data using the popular product ranking list and at least one advertisement basic data;
A link setting unit for setting a link to the corresponding page for each product in the popular product ranking list;
The advertisement execution system using a shopping trend according to claim 21, further comprising:

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