KR20160002469A - Server, controlling method thereof and advertisement providing system - Google Patents

Server, controlling method thereof and advertisement providing system Download PDF

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Publication number
KR20160002469A
KR20160002469A KR1020140080680A KR20140080680A KR20160002469A KR 20160002469 A KR20160002469 A KR 20160002469A KR 1020140080680 A KR1020140080680 A KR 1020140080680A KR 20140080680 A KR20140080680 A KR 20140080680A KR 20160002469 A KR20160002469 A KR 20160002469A
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South Korea
Prior art keywords
user
shopping
information
user terminal
contents
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KR1020140080680A
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Korean (ko)
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배지은
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(주) 애드잇
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Priority to KR1020140080680A priority Critical patent/KR20160002469A/en
Publication of KR20160002469A publication Critical patent/KR20160002469A/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0222—During e-commerce, i.e. online transactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services

Abstract

The server apparatus is started. When the shopping mall website is registered, the server apparatus analyzes the big data on the user behavior through the user terminal device, the content DB storing contents crawled by the crawling unit, the crawler crawling contents on the registered website, Based on the user behavior analysis unit for generating the behavior pattern category information of the user and the behavior pattern category information of the generated user, generates a shopping web page using the content stored in the content DB, and provides the generated shopping web site to the user terminal device And the like.

Description

TECHNICAL FIELD [0001] The present invention relates to a server device, a server device control method, and an advertisement providing system.

The present invention relates to a server apparatus, a server apparatus control method, and an advertisement providing system, and more particularly, to a server apparatus for analyzing big data on user behavior and providing contents, will be.

Recently, with the development of electronic technology, online advertisements such as web advertisement and mobile advertisement through various user terminal devices are being activated, and such online advertisements are used as advertising means of shopping mall operators.

However, the existing web - based advertising market has been depressed by the advertiser 's trust in the advertisement effect due to the high cost and low efficiency due to the imbalance of supply and demand of the advertisement medium. In the case of a large shopping mall, the growth is due to marketing through specialists. However, SOHO (Small Office Home Office) shopping mall and new start-up shopping mall do not have the limitation of capital and marketing expertise, . In addition, existing mobile ads are also complaining to advertisers and consumers, such as the fact that simple push-type ads form the mainstream and are mistaken for spam.

Accordingly, there is a need for a technology that can provide product information that the consumer is interested in more quickly and accurately, and can effectively expose product information of a small-scale shopping mall operator.

SUMMARY OF THE INVENTION The present invention has been made in view of the above-mentioned needs, and it is an object of the present invention to provide a content analyzing apparatus and method for analyzing big data related to user behavior through a user terminal device, A control method of the server device, and an advertisement providing system.

According to an aspect of the present invention, there is provided a server apparatus including a crawler for crawling content on a registered web site when a shopping mall website is registered, content for storing content crawled by the crawler, DB, a user behavior analyzing unit for analyzing big data about user behavior through the user terminal device and generating the behavior pattern category information of the user, and a content analyzing unit for analyzing the content stored in the content DB based on the generated behavior pattern category information And providing a shopping web site to the user terminal device using the generated shopping web site.

Here, the big data regarding the behavior of the user may include at least one of the user's interest information, web page navigation path information, connected web page information, favorite information, and search word information.

In addition, the user behavior analysis unit may obtain the big data from a behavior of a user connected to the shopping web site through the user terminal device.

In addition, the curation unit may provide an installation type shopping application to the user terminal device, and the user behavior analysis unit may automatically acquire big data on the user behavior in association with a user terminal device in which the installation type shopping application is installed have.

The curlation unit may include a crawling service for providing contents matched with the interest field or keyword information set by the user, a mobile homepage interlocking service for linking the shopping web site with a mobile application, a service providing unit for providing the crawled contents as a widget A shopping widget service, and a lock screen service for displaying the crawled contents on a lock screen of the user terminal device to the user terminal device.

Also, the curlation unit may include an advertisement management unit that provides a list of advertisement content exposure methods and receives a selection of a customer member on the provided list, And provide the contents on the shopping mall website of the member to the user terminal.

Meanwhile, a method of controlling a server apparatus according to an embodiment of the present invention includes: a step of, when a shopping mall website is registered, storing contents in the content DB by crawling contents on the registered web site; Analyzing data to generate behavior pattern category information of the user; and generating a shopping web site using contents stored in the contents DB based on the generated behavior pattern category information of the user, To the user terminal device.

Here, the big data on the user behavior may include at least one of the user's interest information, web page navigation path information, connected web page information, favorite information, and search word information.

In addition, the step of generating the behavior pattern category information of the user may include acquiring the big data from the behavior of the user connected to the shopping web site through the user terminal device.

In addition, the step of generating the behavior pattern category information of the user may include providing the installable shopping application to the user terminal device and automatically connecting the big data on the user behavior with the user terminal device in which the installable shopping application is installed And a step of acquiring.

In addition, the step of providing to the user terminal may include a crawling service for providing contents matched with the interest field or keyword information set by the user, a mobile shopping web page interworking service for linking the shopping web site with a mobile application, A shopping widget service for providing the contents as a widget, and a lock screen service for displaying the crawled contents on the lock screen of the user terminal.

The method may further include providing a list of advertisement content exposure methods, receiving a selection of a customer member on the provided list, and displaying contents of the shopping mall website of the customer member stored in the content DB according to the selected advertisement content exposure method To the user terminal device.

Meanwhile, when the shopping mall website is registered, the advertisement providing system according to the embodiment of the present invention crawls the contents on the registered web site and stores the contents on the contents DB, and analyzes the big data on the user behavior through the user terminal A server device for generating a behavior pattern category information of the user and providing a shopping web site created using contents stored in the contents DB to the user terminal device based on the behavior pattern category information of the user, And provides the server device with big data related to the user's action including at least one of the user's interest information, web page navigation path information, access web page information, favorite information, and search word information And a user terminal device.

According to various embodiments as described above, since the user can provide desired product information more efficiently and quickly, the user recognizes the provided content as a medium rather than a simple advertisement, and accordingly, It is possible to provide a higher advertisement effect to the advertiser including the advertiser.

FIG. 1 is a diagram for explaining an advertisement providing system according to an embodiment of the present invention;
2 is a diagram illustrating a configuration of a server apparatus according to an embodiment of the present invention;
3 is a diagram illustrating a more detailed configuration of a server apparatus according to an embodiment of the present invention;
4 to 7 are diagrams illustrating various examples of services provided by a server device to a user terminal device according to an embodiment of the present invention, and Fig.
8 is a flowchart illustrating a method of controlling a server apparatus according to an embodiment of the present invention.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS In the following, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a view for explaining an advertisement providing system according to an embodiment of the present invention. 1, the advertisement providing system 10 includes a server apparatus 100 and a user terminal apparatus 200. [

When the shopping mall website 11 is registered, the server apparatus 100 can crawl contents stored in the registered shopping mall website 11 and store the contents in a content DB (not shown). Generally, crawling refers to a process of visiting a web site to collect contents on a web page distributed and stored in a large number of computers. In particular, in the present invention, Means visiting a registered website to collect content on the site. Accordingly, the contents on the registered web site are crawled and stored in the contents DB (not shown) in the server apparatus 100.

On the other hand, the server device 100 analyzes the Big Data related to the user's action through the user terminal device 200 to generate behavior pattern category information of the user, and based on the generated behavior pattern category information of the user A shopping web site is created using contents stored in the contents DB. Hereinafter, the shopping web site is not a general meaning, but refers to a shopping web site that the server device 100 generates and provides based on the behavior pattern category information of the user.

Specifically, the server device 100 collects big data regarding the user's behavior through the user terminal device 200. Here, the big data regarding the user behavior means all the information about the meaningful or meaningless behavior of the user collected through the user terminal device 100. For example, The web page navigation path information of the web page, the information about the web page accessed by the user, the favorite information set by the user, and the information about the search word inputted by the user.

At this time, the big data regarding the user action may be obtained from the action performed by the user connected to the shopping web site through the user terminal device 200, or may be acquired from the user terminal device 200 installed with the installed- As shown in FIG.

On the other hand, the server device 100 can analyze the collected big data and generate the behavior pattern category information of the user. Here, the behavior pattern category information of the user can be matched with the configuration of the shopping web page as category information related to a pattern of behavior that the user makes via the user terminal device 200. [

Accordingly, the server device 100 can collect content from the content DB based on the generated behavior pattern category information of the user, and create a shopping homepage corresponding to the behavior pattern category information of the user.

Thereafter, the user of the user terminal device 200 can receive a shopping homepage corresponding to his / her behavior pattern category information by accessing and logging on to a shopping web site.

That is, the server apparatus 100 may previously store a plurality of pieces of user behavior pattern category information and a configuration of a shopping web page corresponding to each user behavior pattern category information, and may perform a big data analysis And generates a shopping web page according to the determined behavior pattern category information of the user and provides the shopping web page to the specific user terminal device 200. However, the present invention is not limited to this, and the user action pattern category information or the configuration of the shopping web page can be newly created or updated, and the corresponding relationship can also be changed.

1, the user terminal 200 is a mobile phone 12 or a PC 13. However, the user terminal 200 is not limited to the mobile terminal 12 or the PC 13 but may be connected to the Internet to access various websites, Laptops, tablets, smart phones, smart TVs, and other devices are not limited as long as they can search web pages.

2 is a diagram for explaining a configuration of a server apparatus 100 according to an embodiment of the present invention. 2, the server apparatus 100 includes a crawling unit 110, a content DB 120, a user behavior analysis unit 130, and a culling unit 140.

When the web site is registered, the crawling unit 110 can crawl the content on the registered web site. In particular, when the shopping mall website 11 is registered, the crawling unit 110 can crawl contents on the registered web site. For example, when the URL (Uniform Resource Locator) of the shopping mall website 11 is registered, the crawling unit 110 visits the shopping mall website using the registered URL, crawls the contents on the web site, Can be stored in the content DB. On the other hand, the method in which the shopping mall website 11 is registered in the crawling unit 110 is not limited to the URL registration, and any method can be used as long as the web site can be identified and visited again.

The content DB is a configuration in which the crawler 110 crawls and stores the collected content. Therefore, contents on the shopping mall website 11 registered in the crawling unit 110 can be stored in the contents DB.

The user behavior analysis unit 130 may analyze the big data related to the user behavior through the user terminal device 200 and generate the behavior pattern category information of the user. Specifically, when the user behavior analyzing unit 130 provides the big data on the user behavior through the user terminal 200, the user behavior analyzing unit 130 analyzes the provided big data and generates the user behavior pattern category information .

More specifically, the user of the user terminal device 100 can perform a variety of actions after signing up and logging in to a shopping web site provided by the curlation unit 140. For example, a user of the user terminal device 100 may input information such as an area of interest or a keyword at the time of subscribing to a shopping web site. The user can also click on a shopping mall of interest on the shopping web site to go to a web site provided by the shopping mall or surf the web to find a shopping mall that sells a product of interest or input a shopping mall name or a product name in a search field You can also bookmark your favorite shopping mall site address. All the information on the user behavior through the user terminal device 200 may be provided to the user behavior analysis unit 130 in the user terminal device 200 as big data. At this time, the personal information problem can be solved through the consent of the user at the time of joining the shopping web site.

Also, the user of the user terminal 200 can access the shopping web site and receive the installation-type shopping application provided by the curlation unit 140 and install it in the user terminal 200. Accordingly, when the installable shopping application is executed, the user terminal device 200 and the user behavior analysis unit 140 are interlocked with each other even if the user does not log on and connect to the shopping web site on the user terminal device 200, Various types of big data including information on the user's behavior on the terminal device 200, for example, information on use of various services provided by the curlation unit 140, web movement, purchase, search, etc., And may be automatically provided to the analysis unit 130.

Accordingly, the user behavior analyzing unit 130 can generate behavior pattern category information of the user of the user terminal 200 by analyzing the obtained big data. At this time, the behavior pattern category information of the user is information on a category in which the behavior pattern of the user derived through the analysis of the big data obtained in the category of the plurality of behavior patterns previously stored in the storage unit (not shown) matches, And may correspond to the information constituting the site.

That is, the user behavior analysis unit 130 stores information on shopping mall websites frequently accessed by users, search terms that are frequently searched, favorite information, frequently purchased items, interest information displayed by a user when a shopping web site is entered, It is possible to derive a pattern of user's behavior on the user terminal device 200 by analyzing the big data such as the moving route, etc., based on, for example, the frequency. Accordingly, the user behavior analysis unit 130 can determine which category among the plurality of behavior patterns, which are previously stored, the pattern of the derived user behavior.

For example, category information of a first pattern of "men's wear, dandy" and a second pattern of "women's wear and couture" are stored in a storage unit (not shown) As a result of the analysis, if the behavior pattern of the user "women's wear, cout" is derived, the user behavior analysis unit 130 can generate the second pattern as the user behavior pattern category information. However, the example in which the user behavior analysis unit 130 analyzes the big data and generates the behavior pattern category information of the user is not limited to this. For example, if there is no previously stored behavior pattern category information identical to the derived user behavior pattern, the user behavior analysis unit 130 determines the most similar behavior pattern among the plurality of previously stored behavior pattern category information as the user behavior pattern category information A new user behavior pattern category information may be generated. Meanwhile, the user behavior category information previously stored in the storage unit (not shown) may be updated.

On the other hand, the configuration of the shopping web site may be plural, which may be matched with the user behavior pattern category information and stored in the storage unit (not shown). Accordingly, the curlation unit 140 can generate a shopping website using content stored in the content DB based on the behavior pattern category information of the user generated by the user behavior analysis unit 130. [

For example, the configuration of the first shopping web site corresponding to the first user behavior pattern category information of "men's wear and dandy " and the second user behavior pattern category information of the" When the user behavior analysis unit 130 generates second user behavior pattern category information such as "women's wear and couture " as user behavior pattern category information as in the above example, The curlation unit 140 generates a shopping web site using the contents related to the cute style ladies' shopping mall among the contents stored in the contents DB 120 according to the configuration of the second shopping web site corresponding to the " .

Accordingly, the curlation unit 140 can provide the shopping web site thus generated to the user terminal device 200, and the user of the user terminal device 100 can access the shopping web site, A shopping homepage corresponding to the behavior pattern category information of the user can be provided.

Meanwhile, the cuelization unit 140 may provide various services to the user terminal 200. [ In detail, the curlation unit 140 may provide a crawl service for providing contents matched with the interest field or keyword information set by the user in the shopping web page. Unlike crawling by the crawling unit 110, the crawling unit 140 may be configured to allow the crawling unit 140 to store content data in accordance with various types of big data related to user settings on the shopping web page or user behavior on the user terminal 200 Quot; means that the content is matched and provided by the content server 120.

4 shows an example in which the crawling service is provided by the culling unit 140 when the user terminal 200 is a smart phone. 4 (a) shows a menu displayed on the shopping web site that allows a user to set a category, a keyword, and a price range for searching for a desired product. Accordingly, when the user makes a setting, the curlation unit 140 crawls the shopping mall and the product-related information according to the set criteria in the content DB 120 and provides it to the smartphone as shown in FIG. 4 (b).

Meanwhile, such a crawling service may be provided not only when a user accesses a shopping web page through a user terminal, but also through an installed shopping application provided on a shopping web page. Specifically, the user of the user terminal device 200 can access the shopping web site, download the installable shopping application provided by the curlation unit 140, and install it in the user terminal device 200. At this time, when the installable shopping application is executed in the user terminal device 200, even if the user terminal device 200 does not access the shopping homepage, as described above, the big data on the user behavior is transferred to the user behavior analysis section 140 And can also receive services such as crawling services.

On the other hand, the curlation unit 140 can provide a mobile homepage interworking service for linking a shopping web site with a mobile application. Specifically, when the shopping mall operator merely updates a new merchandise on the shopping mall website, the service does not have to provide the mobile contents to the server device 100, Refers to a service in which content is crawled and stored in the content DB 140 and then updated on a mobile application and provided to the user terminal 200. [ That is, when the mobile application is executed in the user terminal 200, the installed-type shopping application may be an application for the mobile. When the product is updated on the shopping mall website, the corresponding product is also updated on the mobile application .

Meanwhile, the curlation unit 140 may provide a shopping widget service that provides crawled contents as widgets. Specifically, the curlation unit 140 may include a shopping widget service including a shopping widget service that can automatically provide contents matched with a user's interest field or keyword information set in the crawling service, in a form of a widget on the user terminal device 200 Application can be provided. Accordingly, when the installed-type shopping application is downloaded from the shopping web site and is installed and executed, the user terminal device 200 continuously executes the installed-type shopping application again to continuously match the interest field or the keyword information without using the crawling service Contents can be provided. At this time, contents included in the shopping widget service may include new product details, event information, and the like.

5 shows an example in which the shopping widget service is provided by the curation unit 140 when the user terminal device 200 is a smartphone. When a user installs an installable shopping application including a shopping widget service on a smartphone, FIG. 5A shows that the shopping widget appears together with other widgets on the widget setting screen of the smartphone. Accordingly, when the user sets up the shopping widget, the user can receive the shopping widget service as shown in FIG. 5 (b).

The culling unit 140 may provide a lock screen service for displaying the crawled content on the lock screen of the user terminal 200. [ Specifically, the curlation unit 140 may include an installable shopping application that includes a lock screen service capable of displaying content matching the user's interest field or keyword information set in the crawling service on the lock screen of the user terminal 200 . Accordingly, when the installed-type shopping application is downloaded from the shopping web site and is installed and executed, the user terminal 200 executes the installed-type shopping application again, Content corresponding to an area of interest or keyword information can be provided. At this time, the contents included in the lock screen service may include new product details, event information, and the like.

6 illustrates an example in which a lock screen service is provided by the curation unit 140 when the user terminal device 200 is a smart phone. As shown in FIG. 6, even when the smartphone is in the locked state, it can be seen that information about the price, color, and size of the item "snow blouse" is provided to the smartphone. That is, the user can install and execute a mobile-use application including a lock screen service on a smart phone and receive a lock screen service as shown in FIG.

7 shows an example in which content provided by the culling unit 140 is displayed on the screen of the user terminal device 200 when the user terminal device 200 is a computer such as a notebook computer or a PC . That is, for example, when the user sets the keyword "female swimwear ", the culling unit 140 searches the contents crawled according to the crawling service, as indicated by reference numeral 710 in FIG. It can be provided in a form inserted into one area of the computer screen. At this time, the inserted content may be rolled and displayed. In addition, when a user surfs the Web on the shopping web site, the curlation unit 140 searches the web page access history of the user for the user's action, which is provided by the user terminal 200, The related contents may be crawled in the contents DB 120 and displayed in the form of being displayed on the entire screen as shown by reference numeral 720 in FIG. 7 (b). 7, the advertisement content exposure method may be selected by the customer member on the list of content exposure methods provided by the advertisement management unit 145, as described later.

2, the crawling unit 110, the content DB 120, the user behavior analysis unit 130, the cuelization unit 140, and the storage unit (not shown) However, the configuration of the server apparatus 100 is not limited thereto. For example, the configuration of the server apparatus 100 may be separately implemented, and only the content DB 120 may be implemented as a separate configuration It is possible.

3 is a diagram showing a more detailed configuration of the server apparatus 100 according to an embodiment of the present invention. In the description of FIG. 3, the description of the contents overlapping with the above description will be omitted.

3, the crawling unit 110 may include a registration module 111, a setting module 113, and a crawler 115.

The registration module 111 can receive registration of the shopping mall website 11. Specifically, URL information of a shopping mall website can be stored. The setting module 113 can set how contents of the registered shopping mall website 11 are to be crawled. The crawler 115 can crawl the contents of the shopping mall website 11 according to the setting of the setting module 113 and store the crawled contents in the contents DB.

The user behavior analysis unit 130 may include a pattern category module 130, a pattern analysis module 132, a statistical analysis module 133, a user member management module 134, and an interworking module 135.

The user membership management module 134 may collect and store shopping website subscription information of the general user. In particular, information on interest information or keywords of a user member at the time of subscription, pattern category information corresponding to a configuration of a shopping web page at the time of subscription, and big data provision agreement information of a user of the user terminal 200 can be collected and stored. Here, the pattern category information corresponding to the configuration of the shopping web page at the time of subscription may correspond to the configuration of the shopping web page and the behavior pattern category information of the user as described above. When the user joins the first shopping web site, There is no big data related to the user behavior pattern category information. Therefore, the term " pattern category information "

The interlocking module 135 may collect the big data in conjunction with the user's behavior through the user terminal device 200 when the installed shopping application is installed in the user terminal device 200. [

The pattern analysis module 132 analyzes the big data provided from the user terminal device 200 and analyzes the behavior pattern of the user. For example, when a user logs in to a shopping web page, the user analyzes the behavior pattern of the user through a search word, a favorite and a user's web movement path synchronization, Can be analyzed. In addition, the behavior pattern of the user can be analyzed through the data related to the user behavior collected through the interlocking module 135.

The pattern category module 131 generates the behavior pattern category information of the user based on the pattern category information at the time of the user's shopping web site entry stored in the user member management module 134 and the behavior pattern analysis result of the pattern analysis module 132 can do.

The statistical analysis module 133 may collect and analyze the information stored in the user membership management module 134 or the analysis result of the pattern analysis module 132 to provide analysis data to a customer member, that is, a shopping mall operator.

The curlation unit 140 may include a content management module 141, a bulletin board management module 142, a shopping mall website generation module 143, an installed shopping application generation module 144, and an advertisement management module 145 .

The content management module 141 can manage content stored in the content DB. In particular, the content management module 141 can update content stored in the content DB by crawling the shopping mall website at predetermined intervals through the crawler 110. [

The bulletin board management module 142 may collect the analysis results of each module of the user behavior analysis unit 130, generate the statistical data in a predetermined method, and provide the statistical data to the user terminal device 200. For example, for a month, the entire user can post stats, such as their favorite products or shopping malls, on a bulletin board on a shopping website.

The shopping website module 143 generates a shopping web site using contents stored in the contents DB 120 based on the behavior pattern category information of the user generated in the pattern category module 131 of the user behavior analysis module 130 And provide it to the user terminal device 200. In addition, the shopping website module 143 may provide the various services requested on the shopping web page to the user terminal device 200.

The installable shopping application module 144 may create and provide an installed shopping application to the user terminal device 200. [ The user terminal device 200 downloaded and installed can provide the big data related to the user behavior in cooperation with the interlocking module 135 of the user behavior analysis unit 130. In addition, the user terminal 200 having the installed shopping application module 144 installed therein can provide various services such as a crawling service, a mobile website interlocking service, a shopping widget service, and a lock screen service.

The advertisement management module 145 provides the list of the advertisement content exposure method to the customer member terminal device 300 and receives the selection of the customer member on the provided list. At this time, the list of advertisement content exposure methods may include at least one of a location, a size, a period, and a page for exposing advertisement contents on a shopping web site.

Accordingly, when the customer member selects the advertisement exposure mode, the shopping web site module 143 and the installed shopping application module 144 store the contents on the shopping mall website of the customer member among the contents stored in the contents DB 120 as the customer member And can provide it to the user terminal device 200 according to the selected method.

8 is a flowchart illustrating a method of controlling a server apparatus according to an embodiment of the present invention. Referring to FIG. 8, when the shopping mall website is registered (S810), the server apparatus 100 can crawl the contents on the registered web site and store the contents in the contents DB (S820).

Thereafter, the server device 100 analyzes the big data regarding the user's action through the user terminal device 200 and generates the behavior pattern category information of the user (S830). Specifically, the server apparatus 100 acquires the big data from the behavior through the user terminal device 200 of the user connected to the shopping web site, or automatically interlocks with the user terminal device 200 in which the installable shopping application is installed, Can be obtained. Here, the big data regarding the user behavior may include at least one of the user's interest information, web page navigation path information, connected web page information, favorite information, and search word information.

On the other hand, the server device 100 can generate a shopping website using the content stored in the content DB based on the generated behavior pattern category information of the user, and provide the generated shopping web site to the user terminal 200 (S840). At this time, the server apparatus 100 provides a crawling service for providing contents matched with the interest field or keyword information set by the user, a mobile shopping web page linking service for linking the shopping web site with the mobile application, a crawled content as a widget And a lock screen service for displaying the content crawled on the lock screen of the user terminal device to the user terminal device 200. In addition,

On the other hand, the server device 100 provides a list of advertisement content exposure methods to the customer member terminal device 300, and when a selection of a customer member is input on the provided list, And may provide the contents on the shopping mall website of the member to the user terminal device 200.

As described above, according to various embodiments of the present invention, since the user can provide the desired product information more efficiently and quickly, the user recognizes the provided content as one medium rather than a simple advertisement, , And advertisers, including small shopping malls, will be able to provide higher advertising effectiveness.

The operation of each configuration of the server apparatus and the control methods of the server apparatus according to the various embodiments described above can be created by software and loaded on the server apparatus.

More specifically, according to an embodiment of the present invention, there is provided a method of controlling a server device, comprising the steps of: when a shopping mall website is registered, storing contents in a content DB by crawling contents on a registered web site; Analyzing the big data about the behavior to generate the behavior pattern category information of the user, and generating a shopping web site using the content stored in the content DB based on the generated behavior pattern category information of the user, A non-transitory computer readable medium may be installed in which a program for performing a control method including providing the data to a user terminal is stored.

A non-transitory readable medium is a medium that stores data for a short period of time, such as a register, cache, memory, etc., but semi-permanently stores data and is readable by the apparatus. In particular, the various middleware or programs described above may be stored and provided in non-volatile readable media such as CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM,

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the present invention.

110: crawling unit 120: content DB
130: user behavior analysis unit 140:

Claims (13)

A crawling unit for, when the shopping mall website is registered, crawling contents on the registered web site;
A content DB for storing content crawled by the crawling unit;
A user behavior analysis unit for analyzing big data related to user behavior through the user terminal device and generating behavior pattern category information of the user; And
And a curation unit for generating a shopping web site using contents stored in the contents DB based on the generated behavior pattern category information of the user and providing the generated shopping web site to the user terminal device Device. The method according to claim 1,
The big data regarding the behavior of the user is,
Wherein the server information includes at least one of the user's interest information, web page navigation path information, access web page information, favorite information, and search word information. The method according to claim 1,
Wherein the user behavior analysis unit comprises:
And acquires the big data from a behavior of a user connected to the shopping web site through the user terminal device. The method according to claim 1,
Wherein the curlation unit comprises:
Providing an installable shopping application to the user terminal device,
Wherein the user behavior analysis unit comprises:
And automatically acquires big data on the user behavior in cooperation with a user terminal device in which the installable shopping application is installed. The method according to claim 1,
Wherein the curlation unit comprises:
A crawling service for providing content matched with the interest field or keyword information set by the user, a mobile homepage interlocking service for interlocking the shopping web site with a mobile application, a shopping widget service for providing the crawled contents as a widget, And providing a service of at least one of a lock screen service for displaying the crawled contents on a lock screen of the device to the user terminal. The method according to claim 1,
Wherein the curlation unit comprises:
And a advertisement management unit for providing a list of advertisement content exposure methods and receiving a selection of a customer member on the provided list,
And provides the contents on the shopping mall website of the customer member stored in the contents DB to the user terminal according to the selected advertisement contents exposure scheme. A method of controlling a server device,
When the shopping mall website is registered, crawling the contents on the registered web site and storing the contents on the content database;
Analyzing big data related to user behavior through a user terminal device and generating behavior pattern category information of the user; And
Generating a shopping web site using the content stored in the content DB based on the generated behavior pattern category information of the user and providing the generated shopping web site to the user terminal device. 8. The method of claim 7,
Big data relating to the user behavior may include,
Wherein the control information includes at least one of the user's interest information, web page navigation path information, access web page information, favorite information, and search word information. 8. The method of claim 7,
Wherein the step of generating the behavior pattern category information of the user comprises:
And acquiring the big data from a behavior of a user connected to the shopping web site through the user terminal device. 8. The method of claim 7,
Wherein the step of generating the behavior pattern category information of the user comprises:
Providing an installable shopping application to the user terminal device; And
And automatically acquiring big data relating to the user behavior in association with a user terminal device having the installed shopping application installed therein. 8. The method of claim 7,
The method of claim 1,
A crawling service for providing content matched with the interest field or keyword information set by the user, a mobile shopping web page interworking service for linking the shopping web site with a mobile application, a shopping widget service for providing the crawled contents as a widget, And a lock screen service for displaying the crawled contents on a lock screen of the user terminal, to the user terminal. 8. The method of claim 7,
Providing a list of advertisement content exposure schemes and receiving a selection of a customer member on the provided list; And
And providing the content on the shopping mall website of the customer member stored in the content DB to the user terminal according to the selected advertisement content exposure scheme. When the shopping mall website is registered, the contents on the registered web site are crawled and stored in the contents DB, and the behavior pattern category information of the user is analyzed by analyzing the big data regarding the user behavior through the user terminal device, A server device for providing a shopping web site created using contents stored in the contents DB to the user terminal, based on behavior pattern category information of the shopping web site; And
Receiving the shopping web site from the server device and receiving big data about the user's action including at least one of the user's interest information, web page moving route information, connected web page information, favorite information, And a user terminal device for providing to the device.
KR1020140080680A 2014-06-30 2014-06-30 Server, controlling method thereof and advertisement providing system KR20160002469A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20180073534A (en) * 2018-06-18 2018-07-02 주식회사 제너럴 네트 System providing reselling platform by curation contents marketing
KR20180077800A (en) * 2016-12-29 2018-07-09 남서울대학교 산학협력단 Apparatus for providing an integrated purchase details management based on real purchase information and the method thereof

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20180077800A (en) * 2016-12-29 2018-07-09 남서울대학교 산학협력단 Apparatus for providing an integrated purchase details management based on real purchase information and the method thereof
KR20180073534A (en) * 2018-06-18 2018-07-02 주식회사 제너럴 네트 System providing reselling platform by curation contents marketing

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