KR101818012B1 - Advertisement media management method and management apparatus - Google Patents

Abstract

The present invention relates to a method, an apparatus, and a program for managing an advertisement medium of a mobile advertisement network. To this end, the method of the present invention comprises: an information collecting step of collecting advertisement medium application information by an advertisement medium application information collecting module which is a component of the apparatus for managing an advertisement medium of a mobile advertisement network; a distribution priority calculating step of calculating, by a priority calculation module of the apparatus for managing an advertisement medium, distribution priority of advertisement content for a plurality of advertisement medium applications on the basis of collected advertisement medium application information, and generating distribution priority information; and an advertisement content distributing step of sequentially distributing, by an advertisement distribution module of the apparatus for managing an advertisement medium, the advertisement content from a user client in which the advertisement medium application having a high priority is installed on the basis of the calculated distribution priority information. Accordingly, an executed advertisement can be preferentially distributed to an intrinsic user.

Description

≪ Desc / Clms Page number 1 > advertisement media management method and management apparatus of mobile ad network &

The present invention relates to a method, a management apparatus and a program for managing advertisement media in a mobile advertisement network.

Services using existing applications were able to make money through pay-per-sale, part-to-monetization, and monthly subscription fees, so there was little need to use advertising to make money. However, in recent years, application services have developed around free distribution rather than paid sales, and service developers have had to worry about various monetization models. One of them is advertising. The ad revenue model is a way to earn revenue from advertisers who want to attract customers through applications rather than users who use the application.

The fundamental reason that it was possible to monetize these advertisements is that smartphones have become an important medium for content consumption as the explosion of smartphones has become widespread. Recently, people are consuming more content via smartphones than offline media such as newspapers and TVs or PCs. And, the share of games on mobile content is so great that in 2013, 75.5% of all smartphone users are using games (Nielsen-Korea.com 2013.5).

Mobile ad networks are essential for enabling mobile advertising within applications such as games. Of course, an application developer can advertise itself with his own technology. In Korea, 'BEAT', a music streaming service, has done so. However, in order to do so, besides service development, it is necessary to have a manpower for advertisement business and to develop related technology. Most application developers lack resources for their services and it is very difficult to run their own advertising business.

As a result, there is a need for an application developer who wants to introduce a profit method through advertisement in a game, and a specialized company to replace advertisement sales technique and advertisement business. These companies are usually called mobile ad networks. It was named because it provided ad technologies to third-party games and apps, rather than their games or apps, and bundled them together to form a network for ad exposure. These well-known ad mobs, unity as, tabs, adam, and cowlies are just such mobile ad networks.

The basic structure of a mobile ad network in terms of technology is simple. Individual applications include software development kits (SDKs) provided by mobile ad networks within applications. The SDK requests that an ad be served to a server on the ad network at the time of exposure within the application, and exposes the ad sent by the ad network to a predetermined location in the application.

Mobile advertising is basically divided by type. There are four main types used in practice.

First, the display banner is the simplest form, which means an advertising image in the form of a long strip disposed horizontally in a part of the screen (mainly at the top or bottom of the screen). Some games are exposed during gameplay, but for the sake of user convenience (in fact, to avoid user complaints), they are often exposed to additional screens of the game, such as inventory screens and main screens. A typical network that provides display banners is Admob.

The front (display) advertisement means an advertisement image which is literally exposed on the entire screen. It is often the case that one content unit is turned off and the next unit is reached. For example, in a specific game, when the stage is finished and the next stage is passed, the advertisement image is exposed on the entire screen. In many cases, the content is inserted between the content and the content, so it is called as interstitial ad. The front banner is usually provided simultaneously by a network providing the display banner.

The Offer Wall refers to an ad type that simultaneously exposes multiple ads in a list format. An advertising campaign is also called an offer. It is called an offer wall in the sense of a wall with a plurality of such offers. The tap-tightness is a representative network that provides an offer wall.

Video ads literally expose ads in video form. Video ads are usually played back on the entire screen, sometimes in a separate frame. Unity As is one of the representative video advertising networks.

Korean Patent Publication No. 10-2016-0043607

By default, mobile ad networks receive virtually no ads when spanning an application. That is, it is not necessary to divide n advertisements into m + k pieces, m pieces to be distributed to A applications, and k pieces to be distributed to B applications. n ads may be distributed to all applications. That is, n advertisements may be distributed to the A application and n advertisements may be distributed to the B application. This is the difference between the mobile ad model and the existing ad model.

However, these advertising models often use user compensation in a strategic manner, so that users are being tracked as being converted, even though users are not actively switching to application use. For example, in the case of CPI (cost per install) advertisements, certain users are automatically installed on a smart phone or executed by a bot to collect compensation for advertisements.

Accordingly, it is an object of the present invention to provide an advertisement medium management method, a management apparatus, and a program of a mobile advertisement network.

Hereinafter, specific means for achieving the object of the present invention will be described.

An object of the present invention is to provide a method and system for managing advertisement media, including: an information collecting step of collecting advertisement media app information by a advertisement media app information collecting module, A distribution priority calculation step of calculating distribution priority of advertisement contents for a plurality of advertisement media applications based on the advertisement media app information collected by the priority calculation module of the advertisement management device to generate distribution priority information; And an advertisement content distribution step of sequentially distributing the advertisement content from a user client installed with a high priority advertisement media application based on the distribution priority information calculated by the advertisement distribution module of the advertisement medium management apparatus, The advertisement media application refers to an application that includes the SDK of the mobile advertisement network and is installed in the user client and outputs the advertisement content to the user client, and the advertisement media application information includes an installation-deletion Time information and installation-deletion number information of the mobile advertisement network in the mobile advertisement network.

In the information collection step, the sample analysis module, which is a component of the advertisement medium management apparatus, distributes a part of the total quantity of the advertisement contents as a sample to at least a part of the advertisement media application, The media application information collection module collects the advertisement media application information to generate sample characteristic information, and the distribution priority calculation step calculates the distribution priority for a plurality of the advertisement media applications based on the sample characteristic information .

Also, in the information collection step, the relay information analysis module, which is a constitution of the advertisement medium management apparatus, generates relay information, and the distribution priority calculation step calculates distribution priority information for a plurality of advertisement media applications based on the relay information. Wherein the relay information is information on a series of advertisement media applications installed through the SDK of the same mobile advertisement network and in the distribution priority calculation step, The media application may be given a higher distribution priority.

In addition, the advertisement media app information may include advertisement exhaustion category information, which is category information of advertisement contents consumed in the advertisement media application, and the distribution priority calculation step may include: And the distribution priority of the advertisement content for the advertisement media application is calculated based on the category information of the advertisement content.

Also, the advertisement media app information may include advertisement exhaustion category information, which is category information of advertisement contents consumed in the advertisement media application, and after the information collection step, a user category information analysis A user category information collecting step of analyzing a usage amount of each application category used by a specific user and generating user category information on the category of the specific user; And an intrinsic user possibility analysis module that is a component of the advertisement media management device analyzes the intention user possibility for the user based on the advertisement exhaustion category information and the user category information to generate intrinsic user possibility information Wherein in the distribution priority calculation step, the priority calculation module calculates distribution priorities of the advertisement contents for a plurality of users based on the genuine user possibility information .

Another object of the present invention is to provide an advertisement media app information collecting module for collecting advertisement media app information including an SDK of a mobile advertisement network and installed in a user client and being information on an advertisement media application that outputs advertisement contents to the user client; A priority calculation module that calculates distribution priorities of the advertisement contents for a plurality of the advertisement media applications based on the collected advertisement media app information and generates distribution priority information; And an advertisement distribution module that sequentially distributes the advertisement content from a user client installed with a high priority advertisement media application based on the calculated distribution priority information, Installation-deletion time information, and installation-deletion-number information of the mobile advertisement network.

The advertisement media application information collection module collects the advertisement media app information about the sample and distributes sample characteristic information to the advertisement media application information Wherein the priority calculation module calculates the distribution priority for a plurality of the advertisement media applications based on the sample characteristic information.

And a relay information analysis module for generating relay information, which is information on a series of advertisement media applications installed through an SDK of the same mobile advertisement network, And distributing the distribution information with respect to the advertisement media application, and assigning a higher distribution priority to the advertisement media application installed recently in the relay information.

In addition, the advertisement media app information may include advertisement exhaustion category information, which is category information of the advertisement content consumed in the advertisement media application, and the priority calculation module may calculate the advertisement consumption category information, And the distribution priority of the advertisement content for the advertisement media application is calculated based on the category information of the advertisement content.

The advertisement media application information includes advertisement consumption category information, which is category information of the advertisement content consumed in the advertisement media application. The advertisement media application information analyzes the usage amount of each application category used by a specific user, A user category information analysis module that generates user category information that is information; And an intrinsic user possibility analysis module for analyzing the intention user possibility for the user based on the advertisement exhaustion category information and the user category information to generate intrinsic user possibility information, And the priority calculation module calculates distribution priorities of the advertisement contents for a plurality of users based on the genuine user possibility information.

As described above, the present invention has the following effects.

First, according to an embodiment of the present invention, an effect that an executed advertisement is first distributed mainly to a genuine user is generated.

Second, according to one embodiment of the present invention, an advertiser can obtain maximum practical utility with the same cost.

Thirdly, according to the embodiment of the present invention, when there is not much advertisement leftover date, there is an effect that users who exhaust the advertisement quickly are distributed to many applications.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate preferred embodiments of the invention and, together with the description, And shall not be interpreted.
1 illustrates an advertisement media management system of a mobile advertisement network according to an embodiment of the present invention,
FIG. 2 is a schematic diagram specifically showing an advertisement medium management apparatus of a mobile advertisement network according to an embodiment of the present invention;
3 is a schematic diagram illustrating a calculation process in an artificial neural network node of a priority calculation module according to an embodiment of the present invention;
FIG. 4 illustrates a connection relationship of a database according to an embodiment of the present invention,
FIG. 5 is a flowchart illustrating a method of managing an advertisement medium of a mobile advertisement network according to an exemplary embodiment of the present invention;
FIG. 6 is a schematic diagram showing an advertising medium management apparatus according to a second embodiment of the present invention;
FIG. 7 is a flowchart illustrating an advertisement medium management method according to a second embodiment of the present invention;
FIG. 8 is a schematic diagram showing an advertisement medium management apparatus according to a third embodiment of the present invention. FIG.
FIG. 9 is a schematic diagram showing an advertisement medium management apparatus according to a fourth embodiment of the present invention. FIG.
10 is a schematic diagram showing an advertising medium management apparatus according to a fifth embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following detailed description of the operation principle of the preferred embodiment of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may unnecessarily obscure the subject matter of the present invention.

The same reference numerals are used for portions having similar functions and functions throughout the drawings. In the specification, when a specific portion is connected to another portion, it includes not only a direct connection but also a case where the other portion is indirectly connected with another element in between. In addition, the inclusion of a specific constituent element does not exclude other constituent elements unless specifically stated otherwise, but may include other constituent elements.

In the description of the present invention, 'application' and 'app' may be intermixed. In the description of the present invention, an advertisement media application refers to an application that serves as a channel through which advertisement contents are delivered to a user. The advertisement target application means an application that is an advertisement content in a CPI model or the like, and is delivered to a user through an advertisement media application.

Ad media management system of mobile ad network

1 illustrates an advertisement media management system of a mobile advertisement network according to an embodiment of the present invention. 1, an advertisement medium management system 1 of a mobile advertisement network according to an embodiment of the present invention includes a user client 10, an advertiser client 11, a server 12, 13, a database 14, and an advertising media application 15.

The network represents the communication path between the user client 10, the advertiser client 11 and the server 12. [ In one embodiment, the network is the Internet. In addition, the network may utilize dedicated or private communication links (e.g., VPN, WAN, MAN or LAN), rather than being an integral part of the Internet. The network uses standard communication technologies and / or protocols.

The advertisement content may mean a billing model per view and a mobile banner advertisement, a full advertisement, etc. in the case of the per-click charging model. In the bill-per-install and per-execution billing models, the ad content may be an ad target application for which the advertiser wants to install and run. The type of advertising model can be CPI, CPE, cost per action (CPA), cost per like (CPL), and cost per follow (CPF).

A User is a type of user of the advertisement media management system 1 of the mobile advertisement network. The user consumes the mobile advertisement distributed from the advertisement media management apparatus 13 and receives the predetermined compensation to the advertisement media application 15 using the advertisement media application 15 of the user client 10. [

The user client 10 means a client such as a mobile terminal used by a user and is a configuration used for interaction between the user and the advertisement medium management system 1 of the mobile advertisement network. The user client (10) is provided with an advertising media application (15). The user client 10 can receive the advertisement content from the advertisement media management device 13 through the advertisement media application 15 and can receive the advertisement content from the advertisement media management application 13 through the advertisement media application 15 such as the advertisement view of the user, It is possible to transmit, to the advertisement medium management apparatus 13, the advertisement conversion information related to the advertisement transfer information, the conversion of the user's installation of the app or the execution of the application, and the like.

The advertiser client 11 is a client used by an advertiser and is a configuration used for interaction between the advertiser and the advertisement medium management system 1 of the mobile advertisement network. The advertiser client 11 can receive advertisement delivery information or advertisement conversion information for the advertisement content in the advertisement medium management device 13. [

The user client 10 and the advertiser client 11 may be a computer such as a personal computer (PC), a desktop computer, a laptop computer, a notebook, a smart phone, and the like, or a device including the same. A computer is a device having one or more general purpose or special purpose processors, memory, storage, and networking components (wired or wireless). The device may be capable of running an operating system such as, for example, a Microsoft Windows-compatible operating system (OS), Apple OS X or iOS, a Linux distribution, or Google's Android OS. In some embodiments, the user client 10 and the advertiser client 11 may be an interface for interacting with the advertisement media management system 1 of the mobile advertising network, such as Microsoft Internet Explorer, Mozilla Firefox, Google Chrome, Apple Safari And / or a web browser such as Opera.

The server 12 refers to a device for delivering advertisement contents such as a video advertisement, a setup link and an overlay advertisement to the user client 10. In the present invention, the advertisement media application 15 of the user client 10 and the mobile And a data communication channel between the advertisement media management apparatus 13 of the advertisement network.

As used herein, "data" is understood to include information about the user, information about the advertising media application, and information about the advertising content. For example, the information about the user may include personal identification information, current location information, schedule information, app install-delete information, and the like. The information about the advertisement media application may include advertisement delivery information, advertisement conversion information, rate of shooting, rate of advertisement exhaustion, and the like. The information on the advertisement content may include information on the user who consumed the advertisement, advertisement delivery information, advertisement conversion information, an attrition rate, information on the speed of the advertisement consumption, and the like.

The advertisement medium management device 13 manages which advertisement content is to be transmitted to which advertisement media application 15 by using the application installation user information of the advertisement medium application 15, the application installation-deletion information, the attrition rate, It is a device that manages how much to distribute.

The advertisement media management apparatus 13 also transmits advertisement contents to the user client 10 through the advertisement media application 15 and displays the advertisement view of the user, The advertisement delivery information such as the advertisement exposure time of the user, and the conversion information such as the user's installation of the app or the execution of the application. In addition, the advertiser client 11 can receive advertisement delivery information or advertisement conversion information for the advertisement content in the advertisement media management device 13. [

The advertisement medium management device 13 may include a user information collection module, an advertisement medium app information collection module, an advertisement content information collection module, a priority calculation module, an advertisement distribution module, and the like.

The database 14 stores user information, advertisement medium application information, advertisement content information, and the like, and provides the information to the advertisement medium management device 13. [

The advertisement media application 15 refers to an application that is developed including the SDK provided by the mobile advertisement network of the advertisement media management apparatus 13 according to the embodiment of the present invention, The advertisement content is distributed by the management device 13 and the advertisement content is consumed by the user.

FIG. 2 is a schematic diagram specifically illustrating an advertisement medium management apparatus of a mobile advertisement network according to an embodiment of the present invention. Referring to FIG. 2, the advertisement media management apparatus 13 of the mobile advertisement network according to the embodiment of the present invention includes a user information collection module 131, an advertisement media application information collection module 132, A module 133, a priority calculation module 134, and an advertisement distribution module 135.

In addition, the database 14 may include a user information DB 141, an advertisement medium app information DB 142, and an advertisement content information DB 143.

Those skilled in the art will appreciate that the advertisement media management system 1 of the mobile advertising network may include other modules not described in this document. In addition, conventional components such as firewalls, authentication systems, payment processing systems, network management tools, load balancers, and the like are not shown in FIG. The advertisement media management system 1 of the mobile advertisement network may be implemented using a single computer or a network of computers including a cloud-based computer implementation. The computers are preferably server class computers that include one or more high performance CPUs and 1G or more main memory and run an operating system such as LINUX or a variant thereof. The operation of the advertisement media management system 1 of the mobile ad network described in this document can be controlled through a computer program installed in hardware or non-temporary computer storage and can be used to perform the functions described herein Lt; / RTI > processor. The various databases may be implemented using non-temporal computer-readable storage devices and appropriate database management systems for data access and retrieval. The advertisement media management system 1 of the mobile advertising network includes other hardware components essential for the operation described herein and includes a network interface and protocol, an input device for data input, and a display, print, or other And an output device for representation.

The components of the advertisement medium management device 13 of the mobile advertisement network may be configured as follows.

The user information collection module 131 is a module for collecting information about a user using the user client 10 through the advertisement media application 15 including the SDK of the mobile advertisement network and storing the collected information in the user information DB 141. The user information collected by the user information collection module 131 includes device information, personal identification information, current location information, schedule information, user application installation-deletion information and user application usage information, Log information in the application 15, and the like.

The advertisement media application information collection module 132 is a module for collecting information on the advertisement media application 15 including the SDK of the mobile advertisement network and storing the collected information in the advertisement media application information DB 142. The advertisement media application information collected by the advertisement media application information collection module 132 includes advertising media application category information generated by analyzing bibliographies written in an application market (an application store, a Google play store, etc.) Installation-deletion time information, installation-deletion information, installation-deletion information, and the like, which are generated in the advertisement media application 15, such as the number of views or the number of clicks generated in the advertisement media application 15, Information on advertisement conversion information such as execution information, information on an advertisement conversion using a bot, an advertisement attrition rate information which is information on the speed at which the advertisement content is exhausted from the advertisement media application 15, and the like can do. Here, the advertisement delivery information, the advertisement conversion information, the attrition rate, the advertisement exhaustion rate information, and the like may be collected as information on the entire advertisement contents and information on the respective advertisement contents.

The advertisement content information collection module 133 is a module for collecting information on the advertisement content of the advertiser who requests the advertisement execution in the mobile advertisement network and storing the collected information in the advertisement content information DB 143. The advertisement content information collected by the advertisement content information collection module 133 includes advertisement content category information related to the category of the advertisement content, the number of consumed advertisement contents requested by the advertiser, the unit price, the advertisement consumption date, the target user information, Information, keyword information, and the like.

The priority calculation module 134 is a module for setting distribution priorities as to which advertisement contents are to be distributed first to an advertisement application using advertisement media application information and advertisement content information.

For example, the priority calculation module 134 according to an embodiment of the present invention may calculate the probability of conversion (PC) of a particular advertising media application for a given ad exhaustion day of a particular ad content have. The probability of the advertisement conversion possibility according to an exemplary embodiment of the present invention can use the advertisement content category information in the advertisement content information, and the advertisement media application category information, the click information, the installation information, the deletion information, Time, and installation-deletion can be used. For example, the probability of ad conversion probability (PC) for a particular media application in a particular ad content may be defined as:

In the above equation (1), PC is a probability of the advertisement conversion possibility of a advertisement content, b is a probability of the advertisement conversion possibility, r is a category similarity degree of the advertisement content, b is a category similarity degree, D is a number of deletions within n days of the number of installation of the advertisement content by the advertisement media application, and c is the number of the advertisement contents clicked by the advertisement media application of the advertisement content. The priority calculation module 134 according to an exemplary embodiment of the present invention may determine distribution priority information of each advertisement application for a specific advertisement content using a PC.

According to the embodiment of the present invention, when the probability of the advertisement conversion possibility is obtained by using the installation information and the deletion information, an effect of quantitatively determining the possibility of the advertisement conversion of the actual user occurs. In the past, there was no criterion to quantitatively determine whether an actual user is an intrinsic user or not. In addition, it was impossible to judge quantitatively the timing of the advertisement conversion by user and the field. Therefore, according to the embodiment of the present invention, it is possible to calculate the priority for distributing the advertisement contents with the intentional user.

Embodiments of the priority calculation module 134 may use a machine learning or predictive model. In one embodiment, a supervised machine learning algorithm, such as a support vector machine, is used to construct the prediction model, or an unsupervised machine learning algorithm such as clustering Or a semi-supervised machine learning algorithm combining deep learning and reinforcement learning may be used. In other embodiments, other machine learning algorithms, such as neural networks, random forests, or other instructional learning algorithms, may be used to create predictive models.

3 is a schematic diagram illustrating a calculation process in an artificial neural network node of a priority calculation module according to an embodiment of the present invention. As shown in FIG. 3, the multi-layer neural network model according to an embodiment of the present invention includes an input layer, a hidden layer, and an output layer. The input layer consists of nodes corresponding to each input variable, and the number of nodes is equal to the number of input variables. The hidden layer processes the linear combination of the variable values transmitted from the input layer into a nonlinear function such as a sigmoid function and transmits it to the output layer or other hidden layer (in recent years, applying the chain rule in Back propagation, A dilution vanishing gradient problem occurs, and ReLU is generally used instead of the sigmoid function). The output layer is a node corresponding to the output variable. In the classification model, output nodes are generated by the number of classes. The input layer according to an exemplary embodiment of the present invention may include advertisement media application category information, advertisement content category information, advertisement delivery information, advertisement conversion information, an attrition rate, and advertisement consumption rate information. In the output layer, .

The priority calculation module 134 according to an embodiment of the present invention calculates the probability (PC) of the probability of advertisement conversion of the advertisement content at a specific period (for example, once a day) The distribution priority information for the advertisement media application of the advertisement content can be updated with the probability information.

This predicted advertisement conversion possibility information can be used by the search module as a ranking coefficient when the list in the offer month mounted in the advertisement media application 15 complies with the search query. In general, the search module ranks the ad content with a higher probability of ad conversion probability higher in the requested time period and the lower ranked ad content with a lower probability of ad conversion probability. Some embodiments may use the information provided by the priority calculation module 134 as ranking coefficients only if the user requests it. Other embodiments may be configured to use information provided from the priority calculation module 134 by default if not specified by the user. In one embodiment, the advertisement media management system 1 of the mobile ad network may not distribute the advertisement content to the advertisement media application 15 if the probability of the advertisement conversion probability is below a cut off value .

The advertisement distribution module 135 is a module that distributes the advertisement contents to the user client installed with the advertisement media application. The advertisement distribution module 135 according to an embodiment of the present invention determines the time for starting the advertisement distribution in each advertisement application for the specific advertisement contents based on the distribution priority calculated by the priority order calculation module 134, It is possible to distribute the advertisement contents by determining the rate at which the advertisement content is distributed in the advertisement media application.

The components of the database 14 may be configured as follows.

The user information DB 141 is a means for continuously storing and using data describing users who consume the advertisement in the advertisement medium management system 1 of the mobile advertisement network.

The advertisement media application information DB 142 is a means for storing and using attributes of each of a plurality of advertisement media application information in the advertisement media management system 1 of the mobile advertisement network.

The advertisement content information DB 143 is means for storing and using the attributes for each of a plurality of advertisement contents in the advertisement medium management system 1 of the mobile advertisement network.

FIG. 4 illustrates a connection relationship of a database according to an embodiment of the present invention. 4, the user information DB 141, the advertisement medium app information DB 142, and the advertisement content information DB 143 include a user information table 301, an advertisement medium application table 303, (305), each of which may be connected many-to-many.

The user information table 301 is information on a user who obtains the compensation by consuming the advertisement content. The user information table 301 includes user information such as device information, personal identification information, current location information, schedule information, Usage information, log information in the advertising media application 15, and the like.

The advertisement media application table 303 is information on each advertisement media application 15, and includes advertisement media category information generated by analyzing bibliographies described in the application market (App store, Google play store, etc.) Advertisement transfer information such as the number of views or clicks generated in the media application 15, advertisement switching information such as installation information of the advertisement application generated in the corresponding advertisement media application 15, deletion information, execution information, An attrition rate, which is information related to advertisement conversion using a bot, and advertisement consumption rate information, which is information on the speed at which the advertisement content is consumed in the advertisement media application 15, for example.

The advertisement content table 305 is information on each advertisement content. For example, the advertisement content category information may include advertisement content category information related to the category of the advertisement content, the number of the advertisement content consumed by the advertiser, the advertising price, the advertisement consumption date, the target user information, the target advertisement medium information,

How to manage advertising media in mobile ad networks

5 is a flowchart illustrating a method of managing an advertisement medium of a mobile advertisement network according to an exemplary embodiment of the present invention. 5, the advertisement media management method of the mobile advertisement network according to an embodiment of the present invention includes an information collection step S10, an advertisement media application distribution priority calculation step S11, an advertisement content distribution step S12 ).

The information gathering step S10 includes a user information collecting module 131, an advertisement media app information collecting module 132 and an advertisement content information collecting module 133 of the advertisement medium managing device 13 of the mobile advertisement network, Media app information, and advertisement content information.

The advertisement media application distribution priority calculation step S11 is a step in which the priority calculation module 134 of the advertisement medium management device 13 of the mobile advertisement network calculates the priority of the advertisement media application distribution based on the collected user state user information, And calculating the distribution priority for the advertisement media application. If the distribution priorities according to an embodiment of the present invention are the A advertisement media application and the B advertisement media application and the priority of A is higher than B for the X advertisement contents, It means to perform in the app. Alternatively, according to one embodiment of the present invention, probability of advertisement conversion probability (PC) as described above can be used.

In the advertisement content distribution step S12, the advertisement distribution module 135 of the advertisement management device 13 of the mobile advertisement network preferentially distributes the advertisement content to the user client installed with the corresponding advertisement media application on the basis of the calculated priority information . In step S12, it is actually possible to determine when each advertisement application starts to be distributed, or to determine and distribute a ratio of advertisement distribution for each advertisement application.

Other Example

[Example 2 - Sampling analysis]

6 is a schematic diagram showing an advertisement medium management apparatus according to a second embodiment of the present invention, in relation to the advertisement medium management apparatus 13 according to the second embodiment of the present invention. As shown in FIG. 6, the advertisement media management apparatus according to the second embodiment of the present invention may further include a sample analysis module 136.

The sample analysis module 136 distributes a portion of the total quantity of the advertisement content to the entire (or at least a part) advertisement media application as a sample, and analyzes the advertisement media application information (installation-deletion time, And exhaustion rate), and generates sample characteristic information for specific advertisement contents of a specific advertisement application by collecting the advertisement characteristic information. The priority calculation module 134 determines distribution priorities of respective advertisement media applications for specific advertisement contents based on the sample property information of the advertisement media application for the specific advertisement contents collected by the sample analysis module 136 . Based on the distribution priorities determined by the priority calculation module 134, the advertisement distribution module 135 calculates the distribution priority of the advertisement contents based on the distribution speed of the advertisement in the sample, the advertisement conversion information of the sample, Or the advertisement content distribution rate for each advertisement media application is determined and distributed.

FIG. 7 is a flowchart illustrating a method of managing an advertisement medium according to a second embodiment of the present invention, in connection with a method for managing advertisement media according to a second embodiment of the present invention. As shown in FIG. 7, S10a and S10b may be added after S10 in the advertisement medium management method according to the second embodiment of the present invention, and S11 may be replaced with S11a.

The sample distribution step S10a is a step in which the sample analysis module 136 distributes a part of the total quantity of advertisement contents as a sample to all (or at least a part of) advertisement media applications.

The sample characteristic information generation step S10b is a step in which the sample analysis module 136 analyzes the advertisement media application information of the sample advertisement contents (advertisement-delivery information including the installation-deletion time, the attrition rate, And sample characteristic information) to generate sample characteristic information for specific advertisement contents of a specific advertisement application.

The advertisement medium application distribution priority calculation step S11 'is a step in which the priority calculation module 134 of the advertisement medium management device 13 of the mobile advertisement network collects the collected user state information, advertisement medium application information, And calculating a distribution priority for the advertisement media application based on the characteristic information.

[Third embodiment - Relay information]

8 is a schematic diagram showing an advertisement medium management apparatus according to a third embodiment of the present invention, in relation to the advertisement medium management apparatus 13 according to the third embodiment of the present invention. As shown in FIG. 8, the advertisement medium management apparatus according to the third embodiment of the present invention may further include a relay information analysis module 137.

When the advertisement content provided to the user in the corresponding advertisement media application 15 is an advertisement target application including the SDK of the same mobile advertisement network, the relay information analysis module 136 analyzes the relay target information And analyzes the 'relay information', which is the information about the advertisement contents to be provided is the advertisement application including the SDK of the same mobile advertisement network again. That is, a series of advertisement media applications installed simultaneously through the SDK of the same mobile advertisement network (advertisement application at the same time) can be defined as a 'relay', and information about the same can be defined as 'relay information'.

Also, the relay information analysis module 136 provides the relay information to the priority calculation module 134, and the priority calculation module 134 can calculate the priority based on the relay information. For example, it gives priority to the distribution of advertising content to the most recent advertising media application of a particular user's relay (a set of advertising media applications installed through the SDK of a particular mobile advertising network). At this time, the higher the priority of the advertisement content, the more the same SDK is included.

This is because the user is most likely to be the most intuitive user in the most recently installed advertising media application through the SDK. In addition, the user of the advertisement media application configured by the relay can be developed as the intrinsic user of the offer month itself by the SDK of the specific mobile advertisement network, and accordingly, the conversion rate of the offer month can be greatly increased.

For example, if the advertisement media application of B, C, D, and E is provided as advertisement contents in the advertisement month of the advertisement media application A, and B is installed first and E is installed the last time, B, C, D, and E are a group of advertisement media applications installed through the SDK of a specific mobile advertisement network, information on each installation order, and which advertisement media application is installed.

According to the relay information analysis module 136 and the priority calculation module 134 according to the third embodiment of the present invention, when the user selects one of the advertisement media applications 15, The advertisement target application including the SDK of the advertisement network is preferentially provided as the advertisement content and when the advertisement target application is installed and used, the effect that the advertisement target application plays the role as the advertisement medium application 15 again . Accordingly, the user becomes familiar with the SDK of a specific mobile advertisement network and becomes a heavy user such as an offer wall provided by a specific mobile advertisement network. When the user becomes a heavy user for an offer month of a specific mobile advertisement network, an effect that the advertisement conversion rate becomes extremely high occurs.

In relation to the advertising medium management method according to the third embodiment of the present invention, the relay information of the advertisement application is collected in step S10, and the priority is calculated through the relay information in step S11.

[Fourth Embodiment] - A method of measuring the frequency of advertisements (installed / executed) consumed in the medium to define the characteristics of the medium.

9 is a schematic diagram showing an advertisement medium management apparatus according to a fourth embodiment of the present invention. As shown in FIG. 9, according to the fourth embodiment of the present invention, the frequency of the advertisement (installation / execution / view) consumed in the advertisement media application is measured (during a specific period) The media management device 13 may include an advertising exhaustion category information module 138.

The advertisement exhaustion category information analyzing module 138 is a module for analyzing category information (specific users) of advertisement contents exhausted in the advertisement media application. For example, when the category distribution of the advertisement contents consumed in the advertisement media application is 90% of the game, 5% of the SNS, and 5% of the utility, the advertisement consumption category of the advertisement media application is the game.

In a fourth embodiment of the present invention, the priority calculation module 134 is configured to determine, based on the similarity between the category of advertising content and the category of the advertising media application analyzed in the advertising exhaustion category information analysis module 138, An advertisement content distribution priority, or an advertisement content distribution priority for a plurality of advertisement contents of a specific advertisement application.

At this time, the time dimension may be added in analyzing the advertisement exhaustion category information. For example, from 12 o'clock to 3 o'clock, the advertisement burnout category of the advertisement media application may be analyzed as a game, and the advertisement burnout category of the advertisement media application of 3 to 5 o'clock may be analyzed as a movie. At this time, the advertisement content closest to each category can be distributed to the advertisement media application in a priority manner over time.

[Fifth Embodiment - User attribute and advertisement media application attribute combination]

10 is a schematic diagram showing an advertising medium management apparatus according to a fifth embodiment of the present invention. As shown in FIG. 10, according to the fifth embodiment of the present invention, the advertisement media application generates the user category information by measuring (for a specific period of time) the user's application usage information, The advertisement media management apparatus 13 for matching the advertisement exhaustion category information with the advertisement exhaustion category information to determine distribution priorities includes an advertisement exhaustion category information module 138, a user category information analysis module 139, and an intrinsic user possibility analysis module 140 .

The advertisement exhaustion category information analyzing module 138 is a module for analyzing category information (specific users) of advertisement contents exhausted in the advertisement media application. For example, when the category distribution of the advertisement contents consumed in the advertisement media application is 90% of the game, 5% of the SNS, and 5% of the utility, the advertisement consumption category of the advertisement media application is the game.

The user category information analysis module 139 is a module for classifying the category of the user by analyzing the usage amount of each category of the application used by the specific user. For example, when user A uses 80% of game, 10% of SNS, and 10% of utility, user A's category is classified as game.

The intrinsic user possibility analysis module 140 is a module for generating an intrinsic user possibility analysis by analyzing intrinsic user possibility through the similarity between the advertisement exhaustion category and the user category.

In the fifth embodiment of the present invention, the priority calculation module 134 determines the category of the advertisement content and the similarity between the category of the advertisement media application analyzed in the advertisement consumption category information analysis module 138 and the user category, The advertisement content distribution priority for the application or the advertisement content distribution priority for a plurality of advertisement contents of the specific advertisement application. In particular, the higher the possibility of the intrinsic user in the intrinsic user possibility analysis module 140, the higher priority distribution of the advertisement contents can be performed.

At this time, a time dimension may be added in the analysis of the advertisement exhaustion category information and the user category information. For example, from 12 o'clock to 3 o'clock, the advertisement burnout category of the advertisement media application is game, the user category is SNS, the advertisement burnout category of the advertisement media application of 3 to 5 o'clock is game, and the user category is analyzed as game . At this time, since the user is highly likely to be an intrinsic user at 3 to 5 o'clock, the ad media application closest to each category at 3 o'clock to 5 o'clock in the advertisement media application (in particular, when the advertiser attaches importance to the intrinsic user) Can be distributed. For the remainder of the time, simple ad content that is not important to be authentic users may be distributed. In addition, the effect that an advertisement having a high possibility of an intrinsic user among a plurality of users managed by the advertisement medium management apparatus 13 can be consumed first can be produced.

Embodiments of the intrinsic userability module 140 may utilize a machine learned, predictive model. In one embodiment, a supervised machine learning algorithm, such as a support vector machine, is used to construct the prediction model, or an unsupervised machine learning algorithm such as clustering Or a semi-supervised machine learning algorithm combining deep learning and reinforcement learning may be used. In other embodiments, other machine learning algorithms, such as neural networks, random forests, or other instructional learning algorithms, may be used to create predictive models. For example, the intrinsic user possibility module 140 analyzes the intrinsic user possibility over time and then learns the predictive model using attributes of the user category information and the advertisement depletion category information through the user's usage amount of the user, So that the prediction value can be outputted for the possibility of future intrinsic user intention.

As described above, those skilled in the art will appreciate that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the above-described embodiments are to be considered in all respects only as illustrative and not restrictive. The scope of the present invention is defined by the appended claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention.

The features and advantages described herein are not all inclusive, and in particular, many additional features and advantages will be apparent to those skilled in the art in view of the drawings, specification, and claims. Moreover, it should be noted that the language used herein is primarily chosen for readability and for purposes of teaching, and may not be selected to delineate or limit the subject matter of the invention.

The foregoing description of embodiments of the invention has been presented for purposes of illustration; It is not intended to be exhaustive or to limit the invention to the precise form disclosed. Those skilled in the art will appreciate that many modifications and variations are possible in light of the above teachings.

Some portions of this description describe embodiments of the present invention relating to symbolic representations and algorithms of informational operations. These algorithmic descriptions and representations are generally used by those skilled in the data processing arts to efficiently convey the essence of their work to the other skilled artisan. While such operations are described functionally, computationally, or logically, they are understood to be implemented by a computer or equivalent electrical circuitry, microcode, or the like. Furthermore, this is also conveniently demonstrated without loss of generality, sometimes to represent an arrangement of such operations as a module. The operations described above and their associated modules may be implemented in software, firmware, hardware, or any combination thereof.

Any of the steps, operations, or processes described herein may be performed or implemented in conjunction with one or more hardware or software modules, alone or in combination with other devices. In one embodiment, a software module is implemented with a computer program product comprised of a computer-readable medium comprising computer program code, and the computer program code is executable to perform any or all of the processes, steps, May be executed by a computer processor.

Furthermore, embodiments of the invention may relate to an apparatus for performing the operations herein. These devices may include a general-purpose computing device that may be specially constructed and / or selectively activated or reconfigured by a computer program stored within the computer for the required purpose. Such a computer program may be stored in any type of media suitable for storing computer readable storage media or type of instructions, and may be coupled to a computer system bus. Further, any computing system referred to herein may comprise a single processor, or it may be a structure employing a multiprocessor design for increased computing power.

Finally, the language used herein has been chosen primarily for readability and for purposes of teaching, and may not be selected to describe or limit the subject matter of the invention.

The scope of the invention is, therefore, not to be limited by the Detailed Description, but is to be defined by the claims of any application based thereon. Accordingly, the disclosure of embodiments of the invention is illustrative and not restrictive of the scope of the invention, which is set forth in the following claims.

1: Ad media management system of mobile ad network
10: User Client
11: Store Client
12: Server
13: Ad media management device of mobile ad network
14: Database
15: Advertising media application
131: User information collection module
132: Advertising medium app information collection module
133: Advertising contents information collection module
134: Priority calculation module
135: Ad Content Distribution Module
136: Sampling analysis module
141: User information DB
142: Advertising media app information DB
143: Advertisement contents information DB
301: User information table
303: Advertising media app table
305: Ad content table

Claims (2)

An information collection step of collecting advertisement media application information by a advertisement media application information collection module which is a constitution of an advertisement medium management device of a mobile advertisement network;
A distribution priority calculation step of calculating distribution priority of advertisement contents for a plurality of advertisement media applications based on the advertisement media app information collected by the priority calculation module of the advertisement management device to generate distribution priority information; And
An advertisement content distribution step of sequentially distributing the advertisement content from a user client installed with a high priority advertisement media application based on the distribution priority information calculated by the advertisement distribution module of the advertisement medium management apparatus;
Lt; / RTI >
The advertisement media application refers to an application that includes an SDK of the mobile advertisement network and is installed in the user client and outputs the advertisement content to the user client,
Wherein the information collection step includes a sample analysis module that is a component of the advertisement management device distributes a part of the total quantity of the advertisement content as a sample to at least a part of the advertisement media application, Wherein the information collection module includes at least one of an installation-deletion time information, installation-deletion number information, user's installation information, a user's advertisement view, a user's advertisement click, Collecting the app information, generating sample property information which is advertisement media app information about the sample,
Wherein the distribution priority calculation step calculates the distribution priority for a plurality of the advertisement media applications based on the sample characteristic information.
A method of managing advertisement media of a mobile advertisement network.
An advertisement media app information collection module that includes an SDK of a mobile advertisement network and is installed in a user client and collects advertisement media app information that is information on an advertisement media application that outputs advertisement contents to the user client;
A priority calculation module that calculates distribution priorities of the advertisement contents for a plurality of the advertisement media applications based on the collected advertisement media app information and generates distribution priority information;
An advertisement distribution module for sequentially distributing the advertisement contents from a user client installed with a high priority advertisement media application based on the calculated distribution priority information; And
Wherein the advertisement media application information collection module distributes a part of the total number of advertisement contents as a sample to at least a part of the advertisement media applications, Which is at least one of advertisement information, user's installation information, user's advertisement view, user's advertisement click, and user's advertisement exposure time, and generates sample property information which is advertisement media app information about the sample Sample analysis module;
Lt; / RTI >
Wherein the priority calculation module calculates the distribution priority for a plurality of the advertisement media applications based on the sample characteristic information.
An advertisement medium management device of a mobile advertisement network.

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