KR20090090032A - System and method for exposing related advertisement to related group based on user information - Google Patents

Abstract

An exposure method of related advertisement for respective related groups and a system thereof based on the concern related information of a user are provided to increase advertising effect by supplying customized advertisement and select related group. User information of a user is collected and is stored in a database(S110). The linkage group and associative keyword are extracted based on the user information(S120). The advertisement corresponding taste of the user is exposed to the linkage group(S130). The advertisement gains are distributed to the user(S140).

Description

Method and system for exposing related advertisements by association group based on user information {SYSTEM AND METHOD FOR EXPOSING RELATED ADVERTISEMENT TO RELATED GROUP BASED ON USER INFORMATION}

The present invention relates to a related advertisement exposure method and system for each related group based on user's interest and acquaintance information.

Today, with the rapid development of wired and wireless communication networks such as the Internet, information retrieval through communication networks is becoming very common. In other words, users of wired and wireless communication are easily obtaining the necessary information anytime, anywhere, and such information retrieval brings a lot of changes throughout our lives.

In the wired and wireless communication, the number of users is gradually increased due to the development of communication and computers, and in accordance with this, services for wired and wireless communication users are gradually increasing.

 Among them, advertising services for communication users have been actively provided recently. In the wired / wireless communication advertisement service as described above, it is an important issue to efficiently deliver advertisements, and selecting an appropriate target in advertisement delivery has resulted in an important problem in increasing the efficiency of advertisements.

In advertising technology, efforts to increase the effectiveness of advertising have been shown through the realization of various advertising techniques. In general, the cost of advertising is proportional to the number of exposures to consumers, but when advertising is made to consumers who are not related to the advertisement at all, the efficiency of the advertisement decreases.

In other words, the efficiency of advertisement is most appropriately conducted for the potential customer group, and such advertisement may be the most informative information for the consumer.

Conventional banner advertisements are indiscriminately displayed regardless of the target, and thus the effect of the advertisement is inferior, and personalized advertisement exposure according to the user's inclination is difficult, and the advertiser does not increase the advertising efficiency as much as the advertising cost invested. There was this.

The present invention collects user information with the consent of the user, selects an association group based on the collected user information, and provides a customized advertisement to the association group, thereby providing a more targeted advertisement and improving advertisement efficiency. It provides a method and system for exposing related advertisements for each related group.

The present invention collects user information based on a user's consent, provides an advertisement to an associated group selected based on the collected user information, and partially distributes the advertising revenue generated to the user who provided the user information. By providing an associated advertisement exposure method and system for each association group inducing a user to participate in the advertisement.

In accordance with an embodiment of the present invention, a method for exposing related advertisements for each related group includes: collecting user information of a user, selecting an association group and related keywords related to the collected user information, and selecting the association group and the related keywords. Matching and storing in the database and analyzing the user's behavior pattern to expose a customized advertisement associated with the analyzed behavior pattern to the association group.

According to an aspect of the present invention, the method may further include selecting whether or not to agree to the collection of the user information and the analysis of the behavioral pattern from the user, and the exposure of the customized advertisement may include collecting and It may be performed in the association group associated with the user agreed to the analysis of the behavior pattern.

According to an aspect of the present disclosure, the method may further include allocating a portion of the revenue through the customized advertisement to the agreed user.

According to an aspect of the present invention, the collecting of the user information of the user may be characterized in that collecting information for each collection item for each information collection area.

According to one aspect of the invention, the selection of the association group associated with the collected user information, at least one of the gender and age of the user individual when the collected information is about the user's personal information Selecting a user group including an association group; if the collected information relates to information about another user group associated with the user, selecting the other user group as an association group, and the collected information is a domain In the case of an address, the visitor of the same domain may be selected as an association group.

According to an aspect of the present invention, when the association group is selected from the user's personal information, the association keyword may be selected to correspond to at least one of gender and age of the user individual.

According to an aspect of the present invention, when the association group is selected from information about the other user group, the association keyword is selected as contextual advertising association logic in relation to the content of the information collection area. You can do

According to an aspect of the present invention, when the association group is selected from the domain name, the association keyword may be selected by matching the domain name.

In the related advertisement exposure system for each related group according to an embodiment of the present invention, a user information collection unit for collecting user information of a user, association data associated with the collected user information, and association data for extracting a related keyword And an extractor, a storage unit for storing the association group and the association keyword, and an association advertisement exposure controller configured to analyze a behavior pattern of the user and expose a customized advertisement associated with the analyzed behavior pattern to the association group.

According to an aspect of the invention, the association data extraction unit, association group extraction unit for extracting the association group associated with the collected user information and association for extracting the association keyword associated with the collected user information It may include a keyword extraction unit.

According to an aspect of the present invention, the associated advertisement exposure control unit, the user behavior pattern analysis unit for analyzing the behavior pattern of the user, the associated advertisement extraction unit for extracting the advertisement associated with the analyzed user behavior pattern from the ad server and extraction And a related advertisement exposure unit for exposing the related advertisement to the related group.

According to an aspect of the present invention, the consent input unit receives a selection input whether or not to consent to the collection of the user information and the analysis of the behavior pattern from the user and the revenue for distributing a portion of the revenue through the advertisement to the agreed user The apparatus may further include a distribution controller.

According to the present invention, in the case of collecting user information with the consent of a user and selecting a related group based on the collected user information to provide a customized advertisement to the related group, a more targeted advertisement is provided and an advertisement efficiency is improved. Proper guidance can be given to increase.

According to the present invention, the user information is collected based on the user's consent, the advertisement is provided to the selected related group based on the collected user information, and the advertising revenue generated through this is partially provided to the user who provided the user information. In the case of distributing, the user may be encouraged to participate in the advertisement.

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

1 is a flowchart illustrating a method of exposing a related advertisement for each related group according to an embodiment of the present invention.

In step S110, user information of a login or non-login-based user is collected and stored in a database. In this case, in order to collect user information, the process of obtaining consent for collecting user information may be preceded. Therefore, in this case, the user information is collected only when the user agrees, and then the exposure of the customized advertisement is also performed only for the related group associated with the user who has agreed. In addition, the user consent may be to request only consent for collecting user information, or may be to obtain a consent on whether to recognize the user's behavior pattern and analyze and use it for advertisement extraction.

 In this case, the user information of the login-based user may include at least one of a user profile, a subscribed cafe, a blog neighbor, a tag, a trackback, a message chat partner, a mail sender, and a messenger friend. In addition, the user information of the non-login-based user may include at least one of an internet cookie and a favorite. By collecting the user information in consideration of both the login base and the non-login base as described above, it is possible to collect the user information in various routes in various environments. One embodiment of login-based or non-login-based user information collection will be described in more detail with reference to FIG. 2.

In step S120, an association group and an associated keyword are selected based on the collected user information. At this time, a user group is selected based on user information such as age group, gender, the same cafe, messenger friend, and a keyword is matched. Association group and association keyword selection will be described in more detail with reference to FIG.

In operation S130, the personalized advertisement is analyzed and the pattern is provided to the associated group by analyzing the user's propensity and pattern. In other words, by analyzing the behavior patterns of the user, a highly relevant advertisement is extracted from the advertisement server and exposed to the association group selected in step S120. Users who form an acquaintance relationship or a group belong to the same group and have similar tendencies among members, and thus have similar interests, thereby exposing the customized advertisement to the related group, thereby increasing the efficiency of the advertisement. Association group exposure of the customized advertisement will be described in more detail with reference to FIG. 4.

In step S140, the advertising revenue is distributed to the user who provided the user information. In one example, the user may choose whether or not to use his user information and actions for ad extraction, collect user information about the agreed user, match association groups and distribute advertising revenue. Revenue through the advertisement may be calculated through billing forms such as cost per click (CPC), cost per mill (CPM), cost per sale (CPS), and the like.

2 is a diagram illustrating an embodiment of collecting user information according to the present invention.

Both user login and non-login states are taken into account to extract user information from any user A. When the user is logged in, a user profile 210, a cafe 220, a blog 230, a message / mail 240, another messenger friend 260, or the like may be selected as the information collection area. When the user is in a non-login state, an internet cookie, an explorer favorite 250, or the like may be selected as the information collection area.

That is, for example, in the case of login-based, the blog 230 of the information collection area may collect neighborhood / surround neighbor information, tag information, trackback (scrap) information, and the like. In addition, as described above, the user information may be collected according to the collection item in the information collection area such as the cafe 220 and the message / mail 240.

Hereinafter, an embodiment of an association group extraction method and an association keyword cold method will be described with reference to FIGS. 3 and 4.

3 is a flowchart illustrating a method for extracting an association group and a method for extracting an associated keyword according to an embodiment of the present invention, and FIG. 4 illustrates an embodiment for selecting an association group and an associated keyword based on user information according to the present invention. An example is shown.

In step S121, in order to select the related group and the related keyword, the related group and the related keyword are selected according to the type of information collected in the step S110.

In step S122, when the type of the collected information is a domain address, the same domain visitor is selected as an association group. That is, if the user who provided the user information collects specific domain address information visited through a web cookie, bookmark, etc. in step S110, the visitor who visits the same domain address has a similar tendency, purpose, and the like as the user information provider. You can determine that you are visiting the site with and set it as a related group. For example, as shown in FIG. 4, when the collected information is a domain address of http://www.okcashbag.com, a visitor who visits the http://www.okcashbag.com may be set as a related group.

Also, in selecting a related keyword, by selecting a related keyword by matching the domain name with the related keyword, the related advertisement may be exposed in correspondence to the keyword. For example, as illustrated in FIG. 4, the domain name itself may be selected as a keyword.

In operation S123, when the type of the collected information is personal information, at least one of the same gender group and the similar age group may be selected as the related group. That is, as shown in FIG. 4, when the user information collected through the Naver personal information is information that the birth year of the user is 1981 and the gender is male, a man in his 20s joined to Naver may be selected as a related group. In other words, people with the same gender at similar ages may select a related group because their interests are common.

In addition, in selecting a related keyword, the related keyword may be selected to correspond to at least one of the gender and age. For example, as described above, when the user's birth year is 1981 and the gender is male, a male, male, etc. may be selected as an associated keyword as shown in FIG. 4.

In operation S124, when the type of the collected information is information of another user group related to the user who provided the user information, the other user group may be selected as the related group. For example, as shown in FIG. 4, when the collected information is an ID of one or more blog neighbors, a group of users who use the IDs may be selected as an association group.

In this case, in selecting the related keyword, the related keyword may be selected using contextual advertising related logic in relation to the content of the corresponding information collection region. That is, a keyword may be extracted using context advertisement association logic in relation to a post body content of a blog, which is a corresponding information collection area.

In this context, contextual advertising refers to dynamic advertising that automatically displays relevant content based on the visit habits and the contents of the page viewed by the visitors of the web. In other words, visitors use the words and search pages used for the search on the website, or the data of other people who visited the same page to display the prepared advertisement in the advertisement box or pop-up window of the page.

5 is a flowchart illustrating a method of exposing a customized advertisement to an association group according to an embodiment of the present invention.

In step S131, an action of a user who provided user information is tracked. In this case, the user action means all trackable actions such as clicking an advertisement, registering a blog post, visiting a specific site, purchasing an item, or signing up for a membership, and all the trackable actions may be used as the creative. In addition, the extraction of the associated advertisement through the behavior pattern analysis may be performed when the user's consent is separately obtained.

In step S132, the associated advertisement associated with the action of the user is matched and extracted from the advertisement server. In the related advertisement matching, contextual advertising association logic is used. For example, in the case of the blog post registration among the user's actions, the associated advertisement may be extracted using the context advertisement association logic in relation to the content of the post.

In step S133, the advertisement is exposed to the associated group selected in step S120 in a form optimized for the platform. In this case, at least one of SMS, note, pop-up, mail, messenger, feed, and ALERT may be used as an advertisement delivery method. For example, if an advertisement is to be exposed to a group of message senders and receivers among related groups, the advertisement may be exposed in the form of a message, and if an advertisement is exposed to a group of mail senders and receivers, the advertisement may be exposed in a form of mail. . In other words, it is possible to increase the efficiency of advertisement by distributing related advertisements in a form optimized for the platform.

6 is a block diagram illustrating a system for exposing related advertisements for each related group according to an embodiment of the present invention. Here, as shown in FIG. 6, the related advertisement exposure system for each related group includes a user information collector 620, an associated data extractor 630, a storage unit 640, an advertisement server 650, and an associated advertisement exposure controller ( 660).

The user information collecting unit 620 collects user information including acquaintance relations and user information from any user 610 and stores it in the storage unit 640. At this time, the collection of user information may be collected by obtaining the consent of the user, and includes a consent input unit (not shown) receiving a selection input whether the user agrees to the collection of the user information and analysis of the behavior pattern. can do.

In addition, the user information collection through the user information collection unit 620 may collect the user information in consideration of both the login or non-login basis. In this case, the login-based user information may include at least one of a user profile, a subscribed cafe, a blog neighbor, a tag, a trackback, a message chat partner, a mail sender, a messenger friend, and the non-login-based user information includes an Internet cookie ( cookie), and may include at least one of a favorite.

The association data extractor 630 extracts association data used to expose the association advertisement based on the user information. In this case, the association data extractor 630 may include an association group extractor 631 for extracting an association group related to the user and an association keyword extractor 632 for extracting an association keyword.

The association group extractor 631 selects an association group which is a group highly related to the user based on the information collected from the user. In this case, when the collected user information corresponds to personal information, a user group including at least one of a gender and a birth year of the user may be selected as a related group. In addition, when the collected user information corresponds to a domain name, the same domain visitor may be selected as an association group. If the collected user information corresponds to information about another user related to the user who provided the user information, the other user group may be selected as the related group.

The associated keyword extraction unit 632 selects an associated keyword based on the collected user information. In this case, when the association group selected by the association group extractor 631 is selected from the personal information of the user, the association keyword may be selected to correspond to at least one of the gender and age of the user individual. In addition, when the association group is selected from information about the other user group, the association keyword may be selected as contextual advertising association logic in relation to the content of the information collection area. If the association group is selected from the domain name, the association keyword may be selected to match the domain name.

The related advertisement exposure control unit 660 analyzes the behavior pattern of the user who provided the user information to match the related advertisement and control the exposure to the related group 670. At this time, the associated advertisement exposure control unit 660 is a user behavior pattern analysis unit 661 for analyzing the pattern by tracking the action of the user provided the user information, matching the advertisement highly associated with the analyzed user behavior pattern The associated advertisement extractor 662 and the associated advertisement display unit 663 may be provided to expose the matched associated advertisement to the association group 670.

The user behavior pattern analysis unit 661 analyzes user behavior patterns and uses them to extract related advertisements. Can be utilized as

The associated advertisement extracting unit 662 matches a highly relevant advertisement from the user's action and extracts it from the advertisement server 650. In this case, the matching of the associated advertisement may match the associated advertisement by using the context advertisement association logic as a basic logic.

The related advertisement exposure unit 663 exposes the related advertisement extracted by the related advertisement extracting unit 662 to the related group 670. In this case, the advertisement exposure method may be distributed in a form optimized for the platform. That is, an advertisement may be exposed to the related group by using at least one of SMS, message, pop-up, mail, messenger, feed, and ALERT. For example, when the related group is a message sender / receiver group, The advertisement may be exposed in the form of a mail, and the advertisement may be exposed in the form of a mail when the associated group is a mail sender or receiver.

In addition, the associated advertisement exposure system for each association group may further include a revenue distribution control unit (not shown) for distributing a portion of the revenue through the associated advertisement to the agreed user. For example, in the case of advertising revenue distribution, prior to the collection of user information, the customized advertisement is exposed to the related group 670 associated with the user who has consented to the collection of the user information and the analysis of the behavior pattern, and the agreed user. Can be controlled to distribute a portion of the advertising revenue. In this case, the distribution ratio of revenue may be set differently according to the user information disclosure step of the user to induce the user to actively participate in the advertisement.

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

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

1 is a flowchart illustrating a method of exposing a related advertisement for each related group according to an embodiment of the present invention.

2 is a diagram illustrating an embodiment of collecting user information according to the present invention.

3 is a flowchart illustrating an association group extraction method and an association keyword extraction method according to an embodiment of the present invention.

4 is a diagram for one embodiment of selecting an association group and an associated keyword based on user information according to the present invention.

5 is a flowchart illustrating a method of exposing a customized advertisement to an association group according to an embodiment of the present invention.

6 is a block diagram illustrating a system for exposing related advertisements for each related group according to an embodiment of the present invention.

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

620: user information collection unit 630: association data extraction unit

631: association group extraction unit 632: association keyword extraction unit

640: storage unit 650: ad server

660: related advertisement exposure control unit 661: user behavior pattern analysis unit

662: related advertisement extracting unit 663: related advertisement exposure unit

Claims (23)

Collecting user information of the user; Selecting a related group and a related keyword related to the collected user information, matching the related group and the related keyword, and storing the related keyword in a database; And Analyzing the behavior pattern of the user and exposing a customized advertisement associated with the analyzed behavior pattern to the related group Associated advertising exposure method per association group comprising a. The method of claim 1, And receiving a selection input from the user whether to agree on the collection of the user information and the analysis of the behavior pattern. And the exposure of the customized advertisement is performed in the association group associated with a user who has consented to the collection of the user information and the analysis of the behavior pattern. The method of claim 2, And allocating a portion of the revenue from the customized advertisement to the agreed user. The method of claim 1, Collecting user information of the user, Association-related advertisement exposure method for each association group, characterized in that the collection of login-based information and non-login-based information. The method of claim 4, wherein The login-based information is, A method for exposing related advertisements by association group, comprising at least one of a user profile, a subscribed cafe, a blog neighbor, a tag, a trackback, a message chat partner, a mail sender, and a messenger friend. The method of claim 4, wherein The non-login-based information, Related advertisement exposure method for each associated group, characterized in that it comprises at least one of an Internet cookie (favorite). The method of claim 1, Collecting user information of the user, The relevant advertisement exposure method for each association group, characterized in that collecting information for each item collected for each information collection area. The method of claim 7, wherein Selection of the association group associated with the collected user information, If the collected information relates to the personal information of the user, select a user group including at least one of the gender and age of the user individual as an associated group, If the collected information relates to information about another user group associated with the user, selecting the other user group as an association group, If the collected information is a domain address, the associated advertisement exposure method for each associated group, characterized in that to select the same domain visitors as an associated group. The method of claim 8, And when the association group is selected from the user's personal information, the association keyword is selected to correspond to at least one of gender and age of the user individual. The method of claim 8, If the association group is selected from information about the other user group, the association keyword is selected as contextual advertising association logic in relation to the contents of the information collection area. Exposure method. The method of claim 8, And when the association group is selected from the domain name, the association keyword is selected by matching the domain name. The method of claim 1, Analyzing the behavior pattern of the user, The related advertisement exposure method for each association group, characterized in that for analyzing one or more actions that can be tracked by the user. The method of claim 12, The user's trackable action is Related advertisement exposure method for each associated group, characterized in that at least one of ad click, blog registration post, website visit, purchase of goods, membership registration. The method of claim 1, Exposing the extracted advertisement to the associated group, Associated advertising exposure method for each associated group, characterized in that the exposure to the platform optimized form. The method of claim 14, Exposing to the platform optimized form, The relevant advertisement exposure method for each association group, characterized in that the exposure to the associated group according to the platform type using at least one of SMS, note, pop-up, mail, messenger, feed, ALERT. A computer-readable recording medium in which a program for executing the method of any one of claims 1 to 15 is recorded. A user information collecting unit for collecting user information of the user; An association data extraction unit for extracting an association group and an association keyword associated with the collected user information; A storage unit for storing the association group and the association keyword; And Associated advertisement exposure control unit for analyzing the behavior pattern of the user to expose a customized advertisement associated with the analyzed behavior pattern to the association group Association advertisement exposure system for each association group comprising a. The method of claim 17, The user information collecting unit, the association-based advertisement exposure system for each of the associated group, characterized in that to collect and collect the login-based information or non-login-based information. The method of claim 17, The association data extraction unit, An association group extracting unit for extracting an association group associated with the collected user information; And And a related keyword extraction unit for extracting related keywords related to the collected user information. The method of claim 17, The associated advertisement exposure control unit, A user behavior pattern analyzer for analyzing the behavior pattern of the user; An associated advertisement extracting unit extracting an advertisement associated with the analyzed user behavior pattern from an advertisement server; And And a related advertisement exposure unit for exposing the extracted related advertisement to the related group. The method of claim 20, The user behavior pattern analysis unit, Association advertisement exposure system for each association group, characterized in that for analyzing one or more actions that can be tracked by the user. The method of claim 20, The associated advertisement exposure unit, Associated advertising exposure system for each associated group, characterized in that exposed in the form optimized for the platform. The method of claim 17, A consent input unit for receiving a selection input from the user for consent regarding the collection of the user information and the analysis of the behavior pattern; And And a revenue distribution controller for distributing a portion of the revenue from the advertisement to the agreed user.

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