KR102098537B1 - Advertisement service system capable of providing advertisement material template for auto multilink based on analyzing bigdata and advertisement method thereof - Google Patents

Abstract

The present invention relates to an advertisement service system capable of providing a multi-link auto-complete advertisement material template based on big data analysis of a user usage pattern and an advertisement method thereof. According to the present invention, the advertisement service system capable of providing a multi-link auto-complete advertisement material template based on big data analysis of a user usage pattern comprises: an advertiser server (10) capable of generating user usage pattern data by using visit history information, product information, purchase information, and search information on a web page accessed through a user device (1); a multi-link advertisement service platform (20) having a multi-link advertisement material template capable of displaying a dynamic banner image corresponding to the product information and a hash keyword corresponding to keyword information; and an advertisement medium server (30) having a common module capable of checking whether a user revisits the web page and whether the user visits the web page of the advertiser server in the web page of a user visit site to be advertised.

Description

Advertising service system capable of providing multi-link auto-complete advertising material template based on big data analysis and its advertising method {ADVERTISEMENT SERVICE SYSTEM CAPABLE OF PROVIDING ADVERTISEMENT MATERIAL TEMPLATE FOR AUTO MULTILINK BASED ON ANALYZING BIGDATA AND ADVERTISEMENT METHOD THEREOF}

The present invention relates to an advertisement service system and an advertisement method capable of providing a multi-link auto-complete advertisement material template based on big data analysis of a user usage pattern, and more specifically, provided through an advertiser server and an advertisement media server By collecting user data from the web page of the user's visited site, performing big data analysis on the user usage pattern, and combining the hash keywords with the dynamic image banner, it is possible to provide multiple landing pages even when using the same advertisement page. The present invention relates to an advertisement service system capable of providing a multi-link auto-complete advertisement material template capable of increasing a purchase conversion rate and its advertisement method.

Recently, as the number of Internet users has increased rapidly, compared to the traditional advertising methods that used newspapers, flyers and outdoor billboards, shopping mall product advertisement provided through various types of advertising media sites such as portal sites and media sites, as well as various events and promotions Online advertising is dominant.

The online advertisement mainly uses a banner advertisement method using an image banner so that it can be easily exposed to users using an advertising media site.

Typically, the banner advertisement means an advertisement material that is displayed in a square shape and a circle shape at a specific location on a web page of an advertising media site, and when a user accessing the web page clicks on the banner, an advertiser related to the advertisement material Advertising is performed in a form that links to a specific web page of the site.

However, in the banner advertisement service according to the prior art, since an advertiser directly selects an image to be used for banner advertisement or uploads an image to an advertisement server for managing banner advertisement through an administrator, the advertisement is displayed regardless of the tendency of the user using the site. By providing it, there was a problem in that there was a limit in enhancing the advertising effect.

In addition, since the banner advertisement service according to the prior art is usually operated in a manner in which a single image is selectively used by an advertiser, exposure of online creatives exposed to a specific medium when there are a large number of advertisement materials desired to be exposed on a specific medium. There is a problem in that the advertising effect is reduced due to the decrease in the number of times, and in order to prevent this, there is a problem in that the revenue is reduced when the number of advertising materials is limited.

In order to solve this problem, there has been a problem in that the advertisement method of continuously exposing a plurality of banner advertisement images at regular time intervals has been proposed, but there is a limitation in the number of advertisements exposed at one time, resulting in poor effectiveness.

Accordingly, there is an urgent need for technology related to a realistic and applicable advertisement service for simultaneously exposing a plurality of advertisement materials while increasing the advertisement effect of online advertisement provided on an advertisement media site.

Prior literature related to the present invention is Republic of Korea Patent Publication No. 10-2015-0025518 (published date: March 11, 2015).

The present invention was devised to solve the above problems, and the present invention collects user data from a web page of a user visit site provided through an advertiser server and an advertising media server, and performs big data analysis on user usage patterns. Ad service system and advertisement method that can provide multi-linked auto-complete advertisement material template that can not only provide multiple landing pages but also increase purchase conversion rate by using the same advertisement page by combining hash keywords with the next dynamic image banner To provide.

The problems of the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

An advertisement service system capable of providing a multi-link auto-complete advertisement material template based on big data analysis of a user usage pattern according to an embodiment of the present invention relates to a user's usage pattern in a webpage constituting an advertiser's user visit site By providing a collection module that can collect data and a common module that can check whether a visit is made, when a webpage is visited through the user device 1, a unique identification ID code for the user device is issued and the user device 1 An advertiser server 10 capable of generating user usage pattern data using visit history information, product information, purchase information, and search information on a web page accessed through; User usage pattern data generated through the advertiser server 10 is collected at regular time intervals, and product information and keyword information extracted through big data analysis according to user preferences and related data are linked to user information and stored as a mapping table. And a multi-link advertisement service platform 20 having a multi-link advertisement material template capable of displaying a dynamic banner image corresponding to the product information and a hash word corresponding to the keyword information; And an advertisement area for displaying an advertisement material template for a multi-link transmitted from the multi-link advertisement service platform to provide a user visiting site where advertisements are exposed, and confirm whether to revisit and visit the advertiser server's web page. It has a common module that can be provided in the web page of the user targeted visit site, the advertisement media server 30; provided, the user device 1 provides the advertisement exposure user visit site provided by the advertisement media server 30 When visited, if the user information identified through the common module 31a of the advertisement media server 30 exists in the mapping table of the advertisement service platform 20, at least one recommended product and associated keywords from the advertisement service platform are respectively provided. The above is automatically transmitted and the dynamic banner image and hash word are combined through the advertisement area. The multi-link auto-complete creative can be exposed.

The advertiser server 10 includes a data collection module 11 capable of collecting data related to a user's usage pattern in a web page constituting an advertiser's user visit site; and the data collection module 11 includes , A common module 11a capable of generating user identification information by issuing a unique identification ID code for the user device 1 to check whether the advertiser visits the user's user visit site; And an analysis module capable of generating user usage pattern data using the visited history information, product information, purchase information, and search information of the web page list accessed through the user device 1 and transmitting it to the multi-link advertisement service platform ( 11b) ;.

The analysis module 11b capable of generating the user usage pattern data and transmitting it to the multi-link advertisement service platform includes a product code, a product name, when an advertisement target product is exposed on a web page accessed through the user device 1. Product information analysis module (12) that generates data related to product detail information including sales price, consumer personality, product thumbnail web address, product image web address, mobile product image web address, product category, brand name, and user device type. ); When purchasing a product to be advertised on a web page accessed through the user device 1, purchase the product including the product purchase order number, product code, product name, purchase price, product thumbnail web address, purchase quantity, and user device type. A purchase information analysis module 13 for generating data related to information; And a keyword information analysis module 14 for generating data related to search keyword information including a search keyword and a user device type when searching for a product using a search keyword on a web page accessed through the user device 1; It is preferably one of the analysis modules.

The multi-link advertisement service platform 20 includes the advertiser server 10 and the advertisement advertisement media server 30, and the user generated through the online user visit site installed with a common module for checking whether the user has visited or not. A user usage information collection server 100 for collecting pattern data at regular time intervals; Big data analysis server 200 that performs big data analysis to provide customized information using web page visit history information, purchase information, and search information of the user device collected by the user usage information collection server 100 ; When recommended products and related keywords are extracted at regular time intervals through the big data analysis server 200, the advertisement media server 30 converts them into data types suitable for the multi-link advertisement material template and stores them in a plurality of mapping tables. Recommended data storage server 300; And when it is confirmed that the user information of the user device 1 exists in the recommendation data storage server 300, the recommendation data stored in the mapping table of the recommendation data storage server 300 and related keyword-related advertisement material data are recalled. It may be provided; the advertisement transmission server 400 for transmitting at least one or more to the advertisement media server (30).

The user usage information collection server 100 collects unique identification ID values for user devices generated from the common module 11a of the advertiser server 10 and the common module 31a of the advertisement media server 30. A device identification ID gathering unit 110 for storing; A user surfing data gathering unit 120 which collects and stores visit history history of web pages visited by the user device 1; Product code, product name, sales price, consumer personality, product thumbnail web address, product image web address, mobile product image web address, product category, brand name, generated in the product information analysis module 12 of the advertiser server 10, And a product data gathering unit 130 that collects and stores data related to product detailed information including a user device type. Product purchase order number, product code, product name, purchase price, product thumbnail web address, purchase quantity, and product purchase information including user device type generated in the purchase information analysis module 13 of the advertiser server 10 A bi-data gathering unit 140 for collecting and storing data; A keyword data gathering unit 150 for collecting and storing data related to the search keyword information including the search keyword and the user device type generated by the keyword information analysis module 14 of the advertiser server 10; And the device identification ID gathering unit 110, the user surfing data gathering unit 120, the product data gathering unit 130, the bi-data gathering unit 140, and the keyword data gathering unit 150. It may include a collection data forwarding unit 160 that lists the stored user usage pattern data as a mapping table and delivers it to the big data analysis server 200 at an interval of 1 hour.

The big data analysis server 200 analyzes the user usage pattern data transmitted from the user usage information collection server 100 according to a preset analysis criterion and analyzes the user's web page visit history and products of interest to individual users. A recommendation product analyzer 210 for extracting a recommendation product list according to the preference of the device; The user usage pattern data transmitted from the user usage information collection server 100 is analyzed by including the visit history and interest products of the web pages of all user devices according to a pre-set analysis criterion, and a list of related products according to the preferences of all user devices Related product analyzer 220 for extracting; The recommended keyword that extracts the list of recommended keywords according to the search history of the individual user device by analyzing the search keywords of the individual user device according to the preset analysis criteria of the user usage pattern data transmitted from the user usage information collection server 100 An analyzer 230; The user usage pattern data transmitted from the user usage information collection server 100 is analyzed by including the search keywords of all user devices according to a predetermined analysis criterion, thereby extracting a related keyword list according to the search history of all user devices Keyword analyzer 240; And the recommended product list extracted from the recommended product analyzer 210, the associated product analyzer 220, the recommended keyword analyzer 230, and the associated keyword analyzer 240, the associated product list, the recommended keyword list, and the associated keyword And an analysis data sending unit 250 that transmits the keyword list to the recommendation data storage server 300 at intervals of one day.

The recommendation data storage server 300 displays a list of recommended products extracted from the recommended product analyzer 210 of the big data analysis server 200, an advertiser site ID, product page URL, item type, product ID, and recent visit. Recommended product DB (310) for storing in the form of a mapping table including dates; The related product list extracted from the related product analyzer 220 of the big data analysis server 200 is stored in the form of a mapping table including an advertiser's site ID, product page URL, item type, product ID, and recent visit date. Related product DB (320); The recommended keyword DB (330) for storing the recommended keyword list extracted from the recommended keyword analyzer 230 of the big data analysis server 200 in the form of a mapping table including the site ID, search date, and recommended keyword search detail page URL. ); The associated keyword DB (340) for storing the associated keyword list extracted from the associated keyword analyzer 240 of the big data analysis server 200 in the form of a mapping table including the site ID, search date, and associated keyword search detail page URL. ); And automatically extracting product and keyword information for a user device stored in the recommended product DB 310, the related product DB 320, the recommended keyword DB 330, and the related keyword DB 340, and delivering the information to the advertisement delivery server. For query delivery unit 350; may be provided.

The advertisement sending server 400 receives the product information and keyword information stored in the recommendation data storage server 300, and automatically displays a link corresponding to the product information and a hash word corresponding to the keyword information. An advertisement material template resource module 410 having at least one template for a completed advertisement material according to a user device type; When the user device 1 accesses the user's visit site where the advertisement of the advertisement media server is exposed, the product information is updated and received from the recommendation data storage server 300, and the product image is extracted from the updated received product information URL. A product image automatic updating unit 420 delivered to the advertisement media server 30 together with an address; A hash word automatic update unit 430 for receiving keyword information corresponding to the updated received product information from the recommendation data storage server 300 and transmitting it to the advertisement media server 30 together with the keyword search page URL; And a multi-link advertisement material template sending unit (440) for selecting an advertisement material template suitable for displaying a product image and a hash word delivered to the advertisement medium server (30) from the advertisement material template resource module and transmitting the advertisement material template to the advertisement medium server. ) ;.

The advertisement media server 30 includes a common module 31a capable of generating user-specific identification information by issuing a unique identification ID code for the user device to check whether the user device 1 has visited, A data collection module 31 capable of collecting data related to a user usage pattern in a web page constituting a user visited site where advertisements are exposed; And a multi-link auto-complete advertisement material display module 32 for displaying product images and hash words automatically transmitted from the multi-link advertisement service platform 20, and the multi-link auto-complete advertisement material display module ( 32), the product information display menu unit 32a in which the product image transmitted from the multi-link advertisement service platform 20 is displayed in the form of a dynamic banner image; And a hashtag menu unit 32b in which at least one hash word sent from the advertisement service platform 20 is displayed.

According to an embodiment of the present invention, the dynamic banner image displayed on the product information display menu section 32a and the hash word displayed on the hash tag menu section are interlocked with each other to change, and click the dynamic banner image. In this case, it is connected to a landing page related to the corresponding product, and when the hash word is clicked, it may be connected to a search page related to a corresponding keyword search result of a user visit site provided by an advertiser server.

The landing page associated with the product of the dynamic banner image displays a detailed page of the product displayed on the dynamic banner image, and at least one keyword related to the product in the form of a hash word in the detail page of the product. When displaying, and clicking the hash word displayed on the detailed page of the corresponding product on the user device 1, perform an operation that leads to a search page related to the corresponding keyword search result of the user visited site provided by the advertiser server, or The operation of directly connecting to a detailed page of another product related to the corresponding product may be performed.

An advertisement method using a multi-link auto-complete advertisement material template based on big data analysis of a user usage pattern according to an embodiment of the present invention is an advertisement for sending advertisements to an advertisement area of a user visit site visited through a user device A method comprising: a collection module installation step of installing a data collection module capable of collecting data related to a user usage pattern on a user visit webpage of an advertisement target site provided by an advertiser server and an advertisement media site for exposing an advertisement; A raw data collection step in which the user usage information collection server collects the user usage pattern data generated through the data collection module installed on the user visit webpage of the advertiser server at regular intervals and delivers it to the big data analysis server; A big data analysis step of analyzing the user usage pattern data in the big data analysis server and transmitting a list of recommended products, related products, recommended keywords, and related keywords to the recommended data storage server at regular intervals; A mapping table storage step of storing a recommendation product list, a related product list, a recommendation keyword, and a related keyword in a recommendation data storage server in the form of a mapping table together with a weight value to which a priority can be applied according to an advertiser's preference; The advertisement delivery server receives product information and keyword information stored in the recommendation data storage server, automatically corresponds to the template for the multi-link auto-complete advertisement material and the product information and keyword information, and automatically associates product images and hash words interworking with each other. Automatic transmission step of sending to; In the advertisement area where advertisements of the advertisement media server are exposed, one or more product images sent from the advertisement delivery server are displayed in the form of a dynamic banner in the recommended product display menu unit constituting the multi-link auto-complete advertisement material display module, and hashtag menu A display step of displaying at least one hash word transmitted from the advertisement sending server; And if a product image displayed on the recommended product display menu is clicked, it is connected to a landing page related to the product, and when a hash word displayed on the hashtag menu is clicked, keyword search results provided by the advertiser server It may include; performing a multi-link to the search page associated with.

In the big data analysis step, the user usage pattern data transmitted from the user usage information collection server 100 using the recommended product analyzer 210 is visited and visited by a web page of an individual user device according to a preset analysis criterion. Analyzing a product and extracting a list of recommended products according to preferences of individual user devices; By analyzing the user usage pattern data transmitted from the user usage information collection server 100 using the related product analyzer 220, the entire user device's web page visit history and interest products are analyzed according to a predetermined analysis criterion. Extracting a related product list according to the preference of the user device; Using the recommended keyword analyzer 230, the user usage pattern data transmitted from the user usage information collection server 100 is analyzed according to a preset analysis criterion to analyze the search keywords of individual user devices to search history of individual user devices. Extracting the recommended keyword list according to; And the user keyword pattern data transmitted from the user usage information collection server 100 using the associated keyword analyzer 240, including the search keyword of all user devices according to a predetermined analysis criterion to search the entire user device. It may include; extracting a list of keywords associated with the history.

An advertisement method using a multi-link auto-complete advertisement material template based on big data analysis of a user usage pattern according to an embodiment of the present invention is displayed on a product image displayed on the recommended product display menu portion and on the hashtag menu portion The hash words to be interlocked with each other can be displayed.

An advertisement method using a multi-link auto-complete advertisement material template based on big data analysis of a user usage pattern according to an embodiment of the present invention includes a hashtag menu unit on a product image displayed on the recommended product display menu unit More than three hash words can be displayed.

As described above, the present invention collects usage data of a user device from a user visit site provided through an advertiser server and an advertisement media server, and displays product information based on big data analysis on a user usage pattern as a dynamic image banner. By combining with and hash keywords, there is an effect of providing an advertiser with an advertisement service system capable of providing a multilink autocomplete advertisement material template with a high purchase conversion rate and its advertisement method.

In addition, according to the present invention, a plurality of hashtags are combined with a dynamic image moving dynamically in a limited advertisement area of a user's visited site to implement multi-links, so that even if the same advertisement page is used, it can be combined with multiple landing pages. It has the effect of increasing.

In addition, the present invention analyzes a recommendation product and a recommendation keyword using an individual user's usage pattern, and at the same time, analyzes a related product and a related keyword using the usage pattern of all users to expose a more accurate and efficient targeted advertisement to the user. Since it can be done, it has the effect of increasing the purchase conversion rate compared to the existing simple exposure advertising method.

In addition, according to the present invention, the targeting efficiency of advertisements exposed to the user can be improved by analyzing the visit history of the advertisement visitor provided by the advertiser as well as the user's visit site of the advertisement medium to which the advertisement is exposed, resulting in an advertiser's sales It has the effect of increasing.

In addition, according to the present invention, the advertisement is automatically extracted and extracted from the advertiser server through a big data analysis method that analyzes a user's usage pattern, unlike the method in which the advertiser or the advertisement system operator uploads the advertisement material directly. Because of the use of a material template, it is possible to automatically update the customized advertisement material exposed to the user, thereby facilitating the maintenance of the advertisement material and exposing the advertisement to a user with high purchasing potential.

1 is a view schematically showing the overall configuration of an advertisement service system according to an embodiment of the present invention.
FIG. 2 is a view for explaining a specific operation process of the advertisement service system shown in FIG. 1.
3 is a view showing a schematic configuration of the advertiser server shown in FIGS. 1 to 2.
FIG. 4 is a diagram illustrating a schematic configuration of the multi-link advertisement service platform illustrated in FIGS. 1 to 2.
5 is a view showing a schematic configuration of the advertising media server shown in FIGS. 1 to 2.
6 to 9 are views for explaining a specific embodiment of the multi-link auto-complete advertisement material display module 32 according to an embodiment of the present invention.
10 is a flowchart illustrating an advertising method according to an embodiment of the present invention.

Advantages and features of the present invention, and methods for achieving them will be clarified with reference to embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the embodiments allow the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention pertains. It is provided to fully inform the holder of the scope of the invention, and the invention is only defined by the scope of the claims. The same reference numerals refer to the same components throughout the specification.

In the description of the embodiments of the present invention, when it is determined that a detailed description of known functions or configurations may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted, and terms to be described later in the embodiments of the present invention These terms are defined in consideration of the functions of the user, and may vary depending on the user's or operator's intention or customs. Therefore, the definition should be made based on the contents throughout this specification.

Combinations of each of the steps of each configuration and flow diagram in the accompanying drawings may be performed by computer program instructions (execution engines), these computer program instructions being mounted on a processor of a general purpose computer, special purpose computer, or other programmable data processing device. As such, those instructions that are executed through a processor of a computer or other programmable data processing device create means for performing the functions described at each step of each configuration or flow diagram of the figure.

These computer program instructions can also be stored in computer readable or computer readable memory that can be oriented to a computer or other programmable data processing device to implement a function in a particular way, so that computer readable or computer readable memory The instructions stored in it are also possible to produce an article of manufacture containing instruction means for performing the functions described in each step of each configuration or flowchart of the drawings.

And since computer program instructions may be mounted on a computer or other programmable data processing device, a series of operation steps are performed on the computer or other programmable data processing device to create a process that is executed by the computer to generate a computer or other programmable It is also possible for the instructions to perform the data processing apparatus to provide steps for executing the functions described in each step of each configuration and flowchart of the drawings.

In addition, each configuration or each step may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical functions, and in some alternative embodiments referred to in configurations or steps It should be noted that it is possible for functions to occur out of sequence. For example, it is possible that two components or steps shown in succession are actually performed substantially simultaneously, and it is also possible that the components or steps are performed in the reverse order of the corresponding function as necessary.

1 is a view schematically showing the overall configuration of an advertisement service system according to an embodiment of the present invention.

As shown in the figure, an advertisement service system capable of providing a multi-link auto-complete advertisement material template based on big data analysis of a user usage pattern according to an embodiment of the present invention includes an advertiser server 10 and a multi-link advertisement service. A platform 20 and an advertisement media server 30 may be provided.

Here, the advertiser server 10 may be provided with various types of web pages constituting a user visited site, and in an embodiment of the present invention, a product detail page, a product purchase page, and a product search result constituting an online shopping mall. Page.

In addition, the multi-link advertisement service platform 20 accesses the advertiser server 10 and the advertisement media server 30 and analyzes the behavior patterns of consumers having various tastes, and the advertisement media server 30 accessed by consumers ) It was implemented to improve customer satisfaction and increase purchase conversion rate by recommending personalized content for various marketing channels to advertisement materials exposed to user visited sites.

In addition, the advertisement media server 30 may enable multi-link by displaying an advertisement material combining a hash word with a banner image that is dynamically operated in an advertisement area of a user's visited site, and the multi-link advertisement service described above. By using product information and keyword information extracted through the platform 20, it is possible to increase the purchase rate by exposing products and keywords that are highly related to the user's needs.

FIG. 2 is a view for explaining a specific operation process of the advertisement service system shown in FIG. 1.

As shown in the figure, according to an embodiment of the present invention, the advertiser server 10, a collection module and visit to collect data related to the user's usage pattern in a web page constituting the advertiser's user visit site It may be provided with a common module to check whether or not. Here, the common module is preferably implemented in a script form.

At this time, when the common module is used, when the consumer visits the webpage through the user device 1, a unique identification ID code for the user device is issued and the visit history on the webpage accessed through the user device 1 It is possible to generate user usage pattern data using information, product information, purchase information, and search information.

Next, the user usage information collection server 100 constituting the multi-link advertisement service platform 20 may collect user usage pattern data generated through the advertiser server 10 at regular time intervals.

Thereafter, as shown in the drawing, the big data analysis server 200 performs big data analysis according to user preferences and related data, and the recommended data storage server 300 through the big data analysis server 200 The extracted product information and keyword information may be stored in a mapping table in association with user information.

In addition, the advertisement delivery server 400 may display a dynamic banner image corresponding to the product information and a hash word corresponding to the keyword information in order to expose the multi-link advertisement material in the advertisement medium server 30. An advertisement material template for multi-links may be provided.

On the other hand, according to an embodiment of the present invention, the advertisement media server 30 is provided with an advertisement area for displaying a multi-link advertisement material template transmitted from the multi-link advertisement service platform 20, where advertisements are exposed. A user visit site can be provided.

Here, the advertisement media server 30, as in the above-mentioned advertiser server 10, the common module that can check whether or not to revisit and whether to visit the web page of the advertiser server of the target audience visited site where the advertisement is exposed It may be provided in a web page, although not shown in the drawing, it may be delivered directly to the big data analysis server 200 through the Internet, or may be delivered through the log analysis DB server 40 as shown in the drawing.

As described above, when using the advertisement service system according to the embodiment of the present invention, when the user device 1 visits the advertisement exposure user visit site provided by the advertisement medium server 30, the advertisement medium server 30 is common When the user information identified through the module 31a is present in the mapping table of the advertisement service platform 20, at least one or more recommended products and related keywords are automatically transmitted from the advertisement service platform, and are dynamically transmitted through the advertisement area. A multi-link auto-complete advertisement material combined with a banner image and hashish word may be exposed.

3 is a view showing a schematic configuration of the advertiser server shown in FIGS. 1 to 2.

Referring to the drawings, the advertiser server 10 according to an embodiment of the present invention will be described in detail as follows.

In an embodiment of the present invention, the advertiser server 10 may include a data collection module 11 capable of collecting data related to a user's usage pattern in a web page constituting an advertiser's user visit site.

In addition, the data collection module 11, as shown in the figure, may be provided with a common module (11a) and the analysis module (11b).

Here, the common module 11a may generate unique identification information for the user by issuing a unique identification ID code for the user device 1 to check whether the advertiser visits the user's device for the visited site. .

In addition, the analysis module 11b generates user usage pattern data using visit history information, product information, purchase information, and search information of a web page list accessed through the user device 1, and the above-described multi Link advertisement service platform.

As shown in the figure, the analysis module 11b capable of generating the user usage pattern data and transmitting it to the multi-link advertisement service platform includes a product information analysis module 12, a purchase information analysis module 13, and keywords An information analysis module 14 may be provided, and in the embodiment of the present invention, it may be implemented in the form of JavaScript as in the above-described common module 11a.

More specifically, the product information analysis module 12, product code, product name, sales price, consumer personality, product thumbnail web address when the product to be advertised is exposed on a web page accessed through the user device 1 , Product image web address, mobile product image web address, product category, brand name, and data related to product detail information including a user device type may be generated.

In addition, the purchase information analysis module 13, product purchase order number, product code, product name, purchase price, product thumbnail web address when purchasing a product to be advertised on a web page accessed through the user device 1, Data related to product purchase information including purchase quantity and user device type may be generated.

In addition, the keyword information analysis module 14, when searching for a product using a search keyword on a web page accessed through the user device 1, retrieves data related to the search keyword information including the search keyword and the user device type. Can be created.

FIG. 4 is a diagram illustrating a schematic configuration of the multi-link advertisement service platform illustrated in FIGS. 1 to 2.

Multi-link advertisement service platform 20 according to an embodiment of the present invention, as shown in the drawing, user usage information collection server 100, big data analysis server 200, recommended data storage server 300, and An advertisement delivery server 400 may be provided.

Referring to Figure 4, the detailed configuration of the multi-link advertisement service platform 20 according to an embodiment of the present invention will be described in detail as follows.

First, the user usage information collection server 100 includes the advertiser server 10 and the advertisement advertisement media server 30, and is generated through an online user visit site having a common module installed to check whether a user visits or not. User usage pattern data can be collected at regular time intervals.

In addition, as shown in the drawing, the user usage information collection server 100 includes a device identification ID gathering unit 110, a user surfing data gathering unit 120, a product data gathering unit 130, and bi-data gathering. A unit 140, a keyword data gathering unit 150, and a collection data forwarding unit 160 may be provided.

At this time, the device identification ID gathering unit 110, the unique identification ID value for the user device generated from the common module 11a of the advertiser server 10 and the common module 31a of the advertisement media server 30 Can be collected and stored.

In addition, the user surfing data gathering unit 120 may collect and store a history of visited history of web pages visited by the user device 1.

In addition, the product data gathering unit 130, the product code, product name, sales price, consumer personality, product thumbnail web address, product image web address generated in the product information analysis module 12 of the advertiser server 10 , Mobile product image web address, product category, brand name, and data related to product detail information including a user device type may be collected and stored.

In addition, the bi-data gathering unit 140, product purchase order number, product code, product name, purchase price, product thumbnail web address, purchase quantity, generated in the purchase information analysis module 13 of the advertiser server 10, And data related to product purchase information including the type of user device.

In addition, the keyword data gathering unit 150 may collect and store data related to search keyword information including a search keyword and a user device type generated by the keyword information analysis module 14 of the advertiser server 10. .

In addition, the collected data forwarding unit 160, the device identification ID gathering unit 110, the user surfing data gathering unit 120, the product data gathering unit 130, the bi-data gathering unit 140, And the user usage pattern data stored in the keyword data gathering unit 150 as a mapping table and transmitted to the big data analysis server 200 at an interval of 1 hour.

Next, the big data analysis server 200 is to provide user-customized information by using web page visit history information, purchase information, and search information of the user device collected by the user usage information collection server 100 It can perform big data analysis.

In addition, as shown in the figure, the big data analysis server 200, the recommended product analyzer 210, the associated product analyzer 220, the recommended keyword analyzer 230, the associated keyword analyzer 240 , And an analysis data transmission unit 250.

In more detail, the recommended product analyzer 210, the user usage pattern data transmitted from the user usage information collection server 100 according to a preset analysis criteria, visits the web page of the individual user device and the product of interest By analyzing, it is possible to extract a list of recommended products according to preferences of individual user devices.

In addition, the related product analyzer 220 includes the user's usage pattern data transmitted from the user usage information collection server 100 according to a preset analysis criterion, including a web page visit history of all user devices and a product of interest. By analyzing, it is possible to extract the related product list according to the preference of the entire user device.

In addition, the recommended keyword analyzer 230 analyzes a search keyword of an individual user device according to a preset analysis criterion for user usage pattern data transmitted from the user usage information collection server 100 to analyze the user keyword of the individual user device. A list of recommended keywords according to the search history can be extracted.

In addition, the associated keyword analyzer 240 analyzes user usage pattern data transmitted from the user usage information collection server 100, including search keywords of all user devices according to a predetermined analysis criterion, thereby analyzing all user devices. Related keyword list according to the search history can be extracted.

In addition, the analysis data sending unit 250, according to an embodiment of the present invention, the recommended product analyzer 210, the associated product analyzer 220, the recommended keyword analyzer 230, and the associated keyword analyzer The recommended product list extracted from 240, the related product list, the recommended keyword list, and the related keyword list may be transmitted to the recommendation data storage server 300 at intervals of one day.

Next, the recommendation data storage server 300, if the recommended product and related keywords are extracted at regular time intervals through the big data analysis server 200 to the multi-link advertisement material template required by the advertising media server 30 It can be converted into a suitable data format and then saved as a plurality of mapping tables.

In more detail, the recommendation data storage server 300 includes a recommendation product DB 310, an associated product DB 320, a recommended keyword DB 330, an associated keyword DB 340, and a query delivery unit 350. ).

Here, the recommended product DB 310, the recommended product list extracted from the recommended product analyzer 210 of the big data analysis server 200 advertiser site ID, product page URL, item type, product ID, and recent It can be saved in the form of a mapping table that includes the date of visit.

In addition, the associated product DB 320, the associated product list extracted from the associated product analyzer 220 of the big data analysis server 200 advertiser site ID, product page URL, item type, product ID, and recent It can be saved in the form of a mapping table that includes the date of visit.

In addition, the recommended keyword DB 330 includes a list of recommended keywords extracted from the recommended keyword analyzer 230 of the big data analysis server 200, including a site ID, a search date, and a recommended keyword search detail page URL. Can be saved in the form of a mapping table.

In addition, the related keyword DB 340 includes a list of related keywords extracted from the related keyword analyzer 240 of the big data analysis server 200, including a site ID, a search date, and a related keyword search detail page URL. Can be saved in the form of a mapping table.

In addition, the query delivery unit 350, product and keyword information for the user device stored in the recommended product DB 310, the associated product DB 320, the recommended keyword DB 330, and the associated keyword DB 340 It can be automatically extracted to the advertisement delivery server.

Finally, the advertisement delivery server 400, if it is confirmed that the user information of the user device 1 exists in the recommendation data storage server 300, the recommendation stored corresponding to the mapping table of the recommendation data storage server 300 At least one or more data for advertisement materials related to products and related keywords may be transmitted to the advertisement media server 30.

Here, the advertisement sending server 400, as shown in the drawing, the advertisement material template resource module 410, the product image automatic update unit 420, the hashish word automatic update unit 430, and multi-link advertisement material A template sending unit 440 may be provided.

More specifically, the advertisement material template resource module 410 receives the product information and keyword information stored in the recommendation data storage server 300, and hash words corresponding to the image information and the keyword information. One or more templates for auto-completion advertisement materials for displaying may be provided according to a user device type.

In addition, the product image automatic update unit 420, when the user device 1 accesses a user visited site where advertisements of the advertisement media server are exposed, receives product information from the recommendation data storage server 300 and updates the The product image may be extracted from the received product information URL and transmitted to the advertisement media server 30 together with the URL address.

In addition, the hashish word automatic update unit 430 receives and updates keyword information corresponding to the updated received product information from the recommendation data storage server 300, and the advertisement media server 30 together with a keyword search page URL. Can be delivered to.

Also, the multi-link advertisement material template sending unit 440 selects an advertisement material template suitable for displaying a product image and a hash word delivered to the advertisement medium server 30 from the advertisement material template resource module, and performs the advertisement. Can be sent to the media server.

5 is a view showing a schematic configuration of the advertising media server shown in FIGS. 1 to 2.

Referring to Figure 5, it will be described in detail the advertising media server configured for the purpose of mainly advertising material according to an embodiment of the present invention.

As shown in the figure, according to an embodiment of the present invention, the advertisement media server 30 may include a data collection module 31 and a multi-link autocomplete advertisement material display module 32.

More specifically, the data collection module 31 is a common module (31a) capable of generating user-specific identification information by issuing a unique identification ID code for the user device in order to check whether the user device 1 is visited ).

Here, the data collection module 31, such as the analysis module of the advertiser server 10 shown in Figure 3 can collect data related to the user usage pattern in the web page constituting the user's visited site to which the advertisement is exposed, , If the analysis module of the advertiser server 10 is mainly related to product information, purchase information, and product search page exposed in an online shopping mall, in contrast to this, the preferences of consumers related to the content of the advertising media site that provides various contents As it relates to, a detailed description thereof will be omitted.

On the other hand, in an embodiment of the present invention, the multi-link auto-complete advertisement material display module 32 may display a product image and a hash word that are automatically transmitted from the multi-link advertisement service platform 20.

At this time, the multi-link auto-complete advertisement material display module 32 may include a product information display menu unit 32a and a plurality of hashtag menu units 32b, as shown in the figure. In an embodiment, it can be represented that three hash tags are combined and displayed in one product image.

Here, the product information display menu unit 32a may be displayed in the form of a banner image in which the product image transmitted from the multi-link advertisement service platform 20 is operated dynamically.

In addition, the hashtag menu unit 32b may display at least one hash word transmitted from the advertisement service platform 20.

In addition, according to an embodiment of the present invention, the dynamic banner image displayed on the product information display menu portion 32a and the hash word displayed on the hash tag menu portion are interlocked with each other, and a hash word is also changed when the product image is changed. Correspondingly, it may be changed and displayed as another hash word.

6 to 9 are views for explaining a specific embodiment of the multi-link auto-complete advertisement material display module 32 according to an embodiment of the present invention.

FIG. 6 is for showing an embodiment when a dynamic banner image of the product information display menu section 32a is clicked. Here, when the dynamic banner image is clicked, it can be linked to a landing page related to the detailed page of the product, and when applying the recommended service, it can be seen that a hash word is displayed as a related search word at the bottom of the detailed page.

FIG. 7 is for showing an embodiment in the case where a hash word of the product information display menu section 32a is clicked.

As illustrated in FIG. 7, when the hash word is clicked, when an advertiser server provides a shopping mall, it may be connected to a search page related to a corresponding keyword search result of a user visited site provided by the shopping mall.

8 is a view for further explaining a landing page related to a corresponding product of a dynamic banner image according to an embodiment of the present invention.

As shown in the figure, a landing page related to a corresponding product of the dynamic banner image displays a detailed page of the corresponding product displayed on the dynamic banner image, and keywords related to the corresponding product are displayed in the detailed page of the corresponding product. At least one can be displayed in the form of a hash word.

Accordingly, when the user device 1 clicks the hash word displayed on the detailed page of the corresponding product, as described above, it is connected to the search page related to the keyword search result of the user's visited site provided by the advertiser server. An operation may be performed, or an operation directly connected to a detailed page of another product related to the corresponding product may be performed. In an embodiment of the present invention, as illustrated in FIG. 8, an operation directly connected to a detailed page of another product related to the corresponding product may be performed.

9 is a view showing another embodiment of the present invention.

As shown in the figure, according to another embodiment of the present invention, the multi-link auto-complete advertisement material display module 33 hashs the image display unit 33a corresponding to landing 1 and landing 2, landing 3, and landing 4 Three hash tag menu portions 33b in which keywords are located may be provided.

Here, unlike the above-described FIGS. 6 to 8, each image display unit 33a and hashtag menu unit 33b may implement multi-links by having landing pages that are independently connected.

On the other hand, the analysis method applied to the multi-link advertisement service platform 20 according to an embodiment of the present invention utilizes a cookie, which is identification information of a visitor, to search for specific products and related products that each Internet user wants to purchase, In addition, we proposed a method of automatically recommending products to individual visitors by collecting the actual purchase status and past purchase status of a specific product and analyzing it with multiple multi-layered perceptrons to build information for inference.

Here, the outline of the basic data construction technique for constructing product association is as follows. The first is the actual user activity data based on each user's activity and the activity between the users, the second user activity data and the actual product code data and their relationship, the third user's actual purchase time series data and each user's actual purchase time series data Relevance data.

In addition, initial weights are assigned based on the following criteria in order to provide correlation between product search information of users and actual purchase status information. That is, whether a user has access to specific product information and repetitive access, multiple users have access to specific product information, and when the actual purchase occurs, the user's past access information and purchase history, and the similarity in the classification of the current purchase product The initial association weight of each product is given based on the and association.

In addition, the activity information of each user for initial weighting is basically processed into a SQL statement of the DBMS, and the similarity weight for associative search of each product constructed and processed and the related purchase possibility weight with other products are compared with the actual product code. It is constructed in parallel with supervised learning using Multi-Layered Perceptron by constructing multiple actual purchase data. This process can establish the stabilization of purchase association information between products with higher performance than reflecting only the actual activity data of each user by reflecting the association of the actual product code. Based on the initial relevance weight of each product, the weights of the product relevance supervised learning based on the actual product code of each shopping mall are separately generated and stored dually together with the existing ones. To utilize.

In addition, in an embodiment of the present invention, the purchase time series correlation information of each user applies multiple multi-layered perceptrons for time series data analysis. The target value designated for supervised learning is supervised learning by reflecting additionally generated data by users based on the existing target value data, but it is designed so that relevance weight can be applied realistically by Internet users. In addition, as part of the training data, product association information based on actual product codes is used together, and it is designed to enable more stable automatic reasoning.

10 is a flowchart illustrating an advertising method according to an embodiment of the present invention.

As shown in the figure, an advertisement method using a multi-link auto-complete advertisement material template based on big data analysis of a user usage pattern according to an embodiment of the present invention, an advertisement area of a user visited site visited through a user device Regarding an advertisement method for sending an advertisement, installing a data collection module on the user's landing page (S10), collecting user usage pattern data at regular time intervals (S20), and from the big data analysis server Analyzing user usage pattern data (S30), storing the analysis data in the form of a mapping table in the recommendation data storage server (S40), transmitting the template and product image and hash words for advertisement materials in the advertisement data transmission server (S50), the step of interlocking and displaying the product image and hash word in the advertising area of the advertising media server (S60), and performing a multi-link using the multi-link auto-complete advertising material display module (S70).

More specifically, first, the step of installing a data collection module on the user landing page (S10), a user usage pattern on a user visited web page of an advertisement target site provided by an advertiser server and an advertising media site for exposing advertisements It may be a step of installing a collection module, each of which installs a data collection module capable of collecting data related to.

Next, in the step (S20) of collecting the user usage pattern data at regular time intervals, the user usage pattern data generated through the data collection module installed in the user visit webpage of the advertiser server in the user usage information collection server is fixed. It may be a step of collecting raw data collected at intervals and delivered to a big data analysis server.

Next, in the step S30 of analyzing the user usage pattern data in the big data analysis server, the user usage pattern data is analyzed in the big data analysis server to list recommended products, related products, recommended keywords, and related keywords. It may be a big data analysis step of delivering to the recommended data storage server at regular intervals.

Next, in the recommendation data storage server, storing the analysis data in the form of a mapping table (S40), the recommendation product storage server, the recommendation product list, the associated product list, the recommendation keyword, and the associated keyword are prioritized according to the advertiser's preference. It may be a mapping table storage step of storing in the form of a mapping table together with a weight value to which a ranking can be applied.

Next, in the advertisement data sending server, the step of transmitting the template for advertisement materials, product images, and hash words (S50), the advertisement sending server receives the product information and keyword information stored in the recommendation data storage server and automatically performs multi-linking. It may be an automatic transmission step of automatically transmitting a product image and a hash word that correspond to each of the template for the finished advertisement material and the product information and keyword information and interwork with each other.

Next, the step (S60) of displaying and linking the product image and the hash word in the advertisement area of the advertisement medium server is recommended to configure the multi-link auto-complete advertisement material display module in the advertisement area where the advertisement of the advertisement medium server is exposed. In the product display menu unit, one or more product images sent from the advertisement sending server may be displayed in a dynamic banner form, and in the hashtag menu unit, at least one or more hash words sent from the advertisement sending server may be displayed.

Finally, in the step of performing multi-link using the multi-link auto-complete advertisement material display module (S70), when a product image displayed on the recommended product display menu is clicked, it is connected to a landing page related to the product. When a hash word displayed on the hashtag menu portion is clicked, it may be a multi-link execution step that leads to a search page related to a keyword search result provided by an advertiser server.

In addition, in the embodiment of the present invention, in the big data analysis step (S30), the user usage pattern data transmitted from the user usage information collection server 100 using the recommended product analyzer 210 is set in advance. In accordance with this, it may include the step of extracting a list of recommended products according to the preferences of the individual user devices by analyzing the visit history and products of interest of the individual user devices.

In addition, in the big data analysis step (S30), the user usage pattern data transmitted from the user usage information collection server 100 using the associated product analyzer 220 is set according to a predetermined analysis criterion. The method may include extracting a list of related products according to preferences of all user devices by analyzing the page visit history and products of interest.

In addition, in the big data analysis step (S30), the user usage pattern data transmitted from the user usage information collection server 100 using the recommended keyword analyzer 230 is determined according to a preset analysis criterion. It may include the step of extracting the recommended keyword list according to the search history of the individual user device by analyzing the search keyword.

In addition, in the big data analysis step (S30), the user usage pattern data transmitted from the user usage information collection server 100 using the associated keyword analyzer 240 is searched for all user devices according to a preset analysis criterion. It may include the step of extracting a keyword list related to the search history of the entire user device by analyzing the keyword.

Meanwhile, an advertisement method using a multi-link auto-complete advertisement material template based on big data analysis of a user usage pattern according to an embodiment of the present invention includes a product image displayed on the recommended product display menu portion and the hash tag menu portion. The hash words displayed on may be interlocked with each other and displayed.

In addition, according to an embodiment of the present invention, an advertisement method using a multi-link auto-complete advertisement material template based on big data analysis of a user usage pattern may include the hash tag on one product image displayed on the recommended product display menu unit. Three or more hash words displayed on the menu unit may be displayed.

As described above, the present invention collects the usage data of the user device from the user visit site provided through the advertiser server and the advertisement media server to collect product information based on big data analysis of the user usage pattern with the dynamic image banner and hash. By implementing it by combining with keywords, there is an effect of providing an advertiser with an advertisement service system capable of providing a multi-link autocomplete advertisement material template with a high purchase conversion rate and its advertisement method.

In addition, according to the present invention, a plurality of hashtags are combined with a dynamic image moving dynamically in a limited advertisement area of a user's visited site to implement multi-links, so that even if the same advertisement page is used, it can be combined with multiple landing pages. It has the effect of increasing.

In addition, the present invention analyzes a recommendation product and a recommendation keyword using an individual user's usage pattern, and at the same time, analyzes a related product and a related keyword using the usage pattern of all users to expose a more accurate and efficient targeted advertisement to the user. Since it can be done, it has the effect of increasing the purchase conversion rate compared to the existing simple exposure advertising method.

In addition, according to the present invention, the targeting efficiency of advertisements exposed to the user can be improved by analyzing the visit history of the advertisement visitor provided by the advertiser as well as the user's visit site of the advertisement medium to which the advertisement is exposed, resulting in an advertiser's sales It has the effect of increasing.

In addition, according to the present invention, the advertisement is automatically extracted and extracted from the advertiser server through a big data analysis method that analyzes a user's usage pattern, unlike the method in which the advertiser or the advertisement system operator uploads the advertisement material directly. Because of the use of a material template, it is possible to automatically update the customized advertisement material exposed to the user, thereby facilitating the maintenance of the advertisement material and exposing the advertisement to a user with high purchasing potential.

The present invention has been described in detail so far, but the embodiments mentioned in the process are merely illustrative, and it is clear that it is not limited, and the present invention is the technical spirit or field of the present invention provided by the following claims. Within the scope of not departing, component changes to the extent that they can be dealt with evenly will fall within the scope of the present invention.

10: Advertiser server
11: Data collection module
11a: Common module
11b: Analysis module
12: Product information analysis module
13: Purchase information analysis module
14: keyword information analysis module
20: multi-link advertising service platform
30: advertising media server
31: data collection module
32 (33): Advertising material display module
32a (33a): Product information display menu
32b (33b): Hashtag menu section
100: user information collection server
110: device identification ID gathering unit
120: surf data gathering unit
130: product data gathering unit
140: bi-data gathering unit
150: keyword data gathering unit
160: collected data forwarding unit
200: big data analysis server
210: recommended product analyzer
220: Related product analyzer
230: recommended keyword analyzer
240: associated keyword analyzer
250: analysis data transmission unit
300: recommended data storage server
310: Recommended product DB
320: Related product DB
330: Recommended keyword DB
340: associated keyword DB
350: query delivery unit
400: advertisement delivery server
410: Advertising material template resource module
420: product image automatic update unit
430: Hashikiword automatic update unit
440: Multi-link advertisement material template sending unit

Claims (5)

An advertiser server (10) that can issue a unique identification ID code for a user device and generate user usage pattern data on a web page accessed through the user device (1) when visiting the web page through the user device (1) );
Collecting user usage pattern data at regular time intervals, and providing product information and keyword information extracted through big data analysis as a mapping table by interworking with user information and providing a multi-link advertisement material template that can display hash words Multi-link advertisement service platform 20; And
And an advertising media server (30) for providing a user visited site to which advertisements are exposed by having an advertising area for displaying an advertisement material template for multi-links transmitted from the multi-link advertisement service platform.
When the user device 1 visits an advertisement exposure user visit site provided by the advertisement medium server 30, at least one recommended product and associated keywords are automatically transmitted from the advertisement service platform, and are dynamically transmitted through the advertisement area. Multi-link auto-complete advertisement material combining banner image and hashish word is exposed,
The multi-link advertising service platform 20,
A user for collecting user usage pattern data generated through a user's visit site on-line with a common module installed to check whether the user has visited, including the advertiser server 10 and the advertisement advertisement media server 30 Usage information collection server 100;
Big data analysis server 200 that performs big data analysis to provide customized information using web page visit history information, purchase information, and search information of the user device collected by the user usage information collection server 100 ;
When recommended products and related keywords are extracted at regular time intervals through the big data analysis server 200, the advertisement media server 30 converts them into data types suitable for the multi-link advertisement material template and stores them in a plurality of mapping tables. Recommended data storage server 300; And
When it is confirmed that the user information of the user device 1 exists in the recommendation data storage server 300, the advertisement for the recommended product and associated keyword related advertisement material data stored in the mapping table of the recommendation data storage server 300 is advertised. Ad service system capable of providing a multi-link auto-complete advertisement material template based on big data analysis of user usage patterns, characterized by comprising: an advertisement delivery server (400) that transmits at least one to the media server (30).
The method according to claim 1, The advertiser server (10),
And a data collection module (11) capable of collecting data related to a user's usage pattern in a web page constituting an advertiser's user visit site,
The data collection module 11,
A common module (11a) capable of generating user identification information by issuing a unique identification ID code for the user device (1) in order to check whether the advertiser visits the user's user visit site; And
Analysis module 11b capable of generating user usage pattern data and transmitting it to the multi-link advertisement service platform using visit history information, product information, purchase information, and search information of a web page list accessed through the user device 1 );
The advertisement media server 30,
In order to check whether or not the user device 1 is visited, a common module 31a capable of generating user-specific identification information by issuing a unique identification ID code for the user device is included, and a user-visiting site is exposed. A data collection module 31 capable of collecting data related to a user usage pattern in a web page; And
And a multi-link auto-complete advertisement material display module 32 for displaying product images and hash words that are automatically transmitted from the multi-link advertisement service platform 20.
The multi-link auto-complete advertisement material display module 32,
A product information display menu unit 32a in which the product image transmitted from the multi-link advertisement service platform 20 is displayed in the form of a dynamic banner image; And
And a hashtag menu unit (32b) displaying at least one hash word sent from the advertisement service platform (20). Advertising service system that can provide templates
In the advertisement method for sending an advertisement to the advertisement area of the user visited site visited through the user device,
A collection module installation step of installing a data collection module capable of collecting data related to a user usage pattern on a user visit webpage of an advertisement target site provided by an advertiser server and an advertisement media site for exposing advertisements;
A raw data collection step in which the user usage information collection server collects the user usage pattern data generated through the data collection module installed on the user visit webpage of the advertiser server at regular intervals and delivers it to the big data analysis server;
A big data analysis step of analyzing the user usage pattern data in the big data analysis server and transmitting a list of recommended products, related products, recommended keywords, and related keywords to the recommended data storage server at regular intervals;
A mapping table storage step of storing a recommendation product list, a related product list, a recommendation keyword, and a related keyword in a recommendation data storage server in the form of a mapping table together with a weight value to which a priority can be applied according to an advertiser's preference;
The advertisement delivery server receives product information and keyword information stored in the recommendation data storage server, automatically corresponds to the template for the multi-link auto-complete advertisement material and the product information and keyword information, and automatically associates product images and hash words interworking with each other. Automatic transmission step of sending to;
In the advertisement area where advertisements of the advertisement media server are exposed, one or more product images sent from the advertisement delivery server are displayed in the form of a dynamic banner in the recommended product display menu unit constituting the multi-link auto-complete advertisement material display module, and hashtag menu A display step of displaying at least one hash word transmitted from the advertisement sending server; And
If you click on the product image displayed on the recommended product display menu part, you are connected to the landing page related to the product, and when you click the hash word displayed on the hash tag menu part, the keyword search result provided by the advertiser server and Includes; performing a multi-link to the relevant search page;
Multilink auto-complete advertisement material based on big data analysis of user usage pattern, characterized in that three or more hash words displayed on the hash tag menu section are displayed on one product image displayed on the recommended product display menu section. Advertising method using template
The method according to claim 3, The big data analysis step,
Using the recommended product analyzer 210, the user usage pattern data transmitted from the user usage information collection server 100 is analyzed according to a preset analysis criterion to visit the web page visit history of the individual user device and the product of interest to the individual user device. Extracting a list of recommended products according to the preference of the;
By analyzing the user usage pattern data transmitted from the user usage information collection server 100 using the related product analyzer 220, the entire user device's web page visit history and interest products are analyzed according to a predetermined analysis criterion. Extracting a related product list according to the preference of the user device;
Using the recommended keyword analyzer 230, the user usage pattern data transmitted from the user usage information collection server 100 is analyzed according to a preset analysis criterion to analyze the search keywords of individual user devices to search history of individual user devices. Extracting the recommended keyword list according to; And
Search history of all user devices by analyzing the user usage pattern data transmitted from the user usage information collection server 100 using the associated keyword analyzer 240, including search keywords of all user devices according to a preset analysis criterion. Extracting the related keyword list according to; Advertising method using a multi-link auto-complete advertising material template based on big data analysis of the user use pattern, characterized in that it comprises a
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