KR20210017778A - Advertising progress sever, system for progress of advertising service and method thereof - Google Patents

Abstract

The present invention relates to an advertisement progress server, an advertisement service progress system, and a method thereof. The advertisement service progress method performed by the advertisement progress server providing advertisement information through a media channel includes the following steps of: (a) receiving profile information for participating in the progress of an advertisement service from at least one creator terminal uploading video content to a personal channel operated through the media channel; (b) extracting media features in accordance with a classification model which is preset for the video content by creator terminal, and classifying the extracted media features by category; (c) creating an advertisement information list by receiving advertisement campaign information for an advertisement target from at least one advertiser terminal; (d) performing advertisement matching between the advertiser terminal and the creator terminal by using an advertisement campaign managing algorithm; (e) collecting advertising effect information through marketing tracking settings for advertisement information and media activity information for the video content reflecting the advertisement information based on a result of the advertisement matching; and (f) setting compensation information by reflecting the media activity information and the advertising effect information to a preset compensation policy. The advertisement campaign managing algorithm calculates advertisement suitability between the advertisement campaign information and the media features based on the advertisement information list, creates a recommendation list by priority in accordance with the advertisement suitability and provides the same to the creator terminal, and completes mutual advertisement matching when receiving advertisement progress agreement information of the advertiser terminal and the creator terminal.

Description

Advertisement progress server, advertisement service progress system and its method {ADVERTISING PROGRESS SEVER, SYSTEM FOR PROGRESS OF ADVERTISING SERVICE AND METHOD THEREOF}

The present invention relates to an advertisement processing server, an advertisement service processing system, and a method thereof.

Recently, web sites that provide video content services such as User Created Contents (UCC) through communication networks such as the Internet have been widely activated. In the past, mass media such as TV, newspaper, radio, and magazines that unilaterally delivered information to an unspecified number of people were dominated. However, with the development of information and communication technology, interactive communication is possible using the Internet and smartphones. With the emergence of new media that can be used, single-person media is developing.

Here, one-person media is a new type of communication platform through which individuals can directly produce and share various contents as a medium for transmitting information, and refers to a new type of communication channel. As the market size of single-person video creators or creators grows, a new industrial field is emerging that is responsible for video production support and distribution, and generates revenue from various channels.

This one-person media industry is developing in the form of Multi-Channel Networks (MCN) and provides Internet-based video content platforms such as YouTube, Africa TV, and Twitch. In Korea, there are YouTube, Afreeca TV, Daum TV pod (or Kakao TV), and V Live, and there are many small Internet private broadcasters.

Creators are professions that create creative video content and upload it to video content platforms such as YouTube to secure subscribers and share advertising revenue with video content platform operators. These creators are eliciting explosive reactions to the 1020 generations by converting areas that were not covered or difficult to handle in terrestrial broadcasts, such as eating room (eating broadcast), game room (game broadcast), beauty, and cook room (cooking broadcast).

Video content platform operators are emerging as a new industrial form by discovering and supporting promising creators, or by collaborating with famous creators to create various advertisements and distributions. In recent years, it is expanding into business areas to create added value such as MD product production, online shopping mall opening, and entertainment.

As described above, as an environment in which anyone can freely create, distribute, and consume video content without restrictions, the number of creators and opening channels is increasing exponentially.

There are many ways for creators to generate revenue, which can be divided into direct revenue and indirect revenue through content. Direct revenue through content is to generate revenue from content only by inserting advertisements for content uploaded by creators. Indirect revenue is additional revenue that can be derived from uploading content. Indirect revenue includes brand collaboration, indirect advertising, licensing, original content, model fees, and appearance fees.

However, when a creator inserts an advertisement that does not fit the content of his or her schedule information or the content of the content, the viewer backlash may increase or a viewer churn may occur. On the other hand, it is not easy for advertisers to find suitable creators for product advertisements, and advertisement costs may increase if the advertisement is requested by relying on famous creators, and products exposed to advertisements when the context of the content and advertisement information do not match. There is a problem that the risk-bearing cost increases because the awareness of the product is deteriorated or purchase is not made compared to the number of exposures.

In order to solve the above-described problem, an object of the present invention is to perform advertisement matching between a creator terminal and an advertiser terminal so that advertisement information suitable for a creator's media characteristics can be reflected in a content according to an embodiment of the present invention.

However, the technical problem to be achieved by the present embodiment is not limited to the technical problem as described above, and other technical problems may exist.

As a technical means for achieving the above-described technical problem, an advertisement service progress system according to an embodiment of the present invention is an advertisement service progress system that provides advertisement information through a media channel, wherein the personal channel is operated through the media channel. At least one creator terminal for uploading video content to the device; At least one advertiser terminal for performing an advertisement request by providing advertisement campaign information for an advertisement target; And extracting media features according to a preset classification model for the video content for each creator terminal and classifying them by category, generating an advertisement information list when the advertisement campaign information is received, and using an advertisement campaign management algorithm to the advertiser terminal. And an advertisement progress server configured to set compensation information according to the compensation policy by performing advertisement matching between the and the creator terminal, and collecting the media activity information and advertisement effect information based on the result of the advertisement matching, the advertisement campaign manager The gong algorithm calculates an advertisement suitability between the media feature and advertisement campaign information based on the advertisement information list, generates a recommendation list according to priority according to the advertisement suitability, and provides it to the creator terminal, and the creator terminal and the advertiser When the terminal's advertisement progress consent information is received, mutual advertisement matching is completed.

According to another embodiment of the present invention, an advertisement service process method is performed by an advertisement process server that provides advertisement information through a media channel, a) a personal channel operated through the media channel. Receiving profile information for participating in ad service progress from at least one creator terminal for uploading video content; b) extracting media features according to a classification model preset for the video content for each creator terminal, and classifying the extracted media features by category; c) generating an advertisement information list by receiving advertisement campaign information for an advertisement target from at least one advertiser terminal; d) performing advertisement matching between the advertiser terminal and the creator terminal using an advertisement campaign management algorithm; e) collecting advertisement effect information through media activity information for video content reflecting advertisement information based on the advertisement matching result and marketing tracking setting for the advertisement information; And f) setting compensation information by reflecting the media activity information and advertisement effect information to a preset compensation policy, wherein the advertisement campaign management algorithm includes the media feature and advertisement campaign based on the advertisement information list. The advertisement suitability between information is calculated, a recommendation list is generated by priority according to the advertisement suitability, and provided to the creator terminal, and mutual advertisement matching is completed when advertisement progress consent information of the creator terminal and the advertiser terminal is received.

In addition, the advertisement progress server according to another embodiment of the present invention is an advertisement progress server that provides advertisement information through a media channel, wherein a creator terminal and an advertiser upload video content to a personal channel operated through the media channel. A memory in which a program for performing an advertisement service processing method between terminals is recorded; And a processor for executing the program, wherein the processor receives profile information for participating in ad service progress from the creator terminal by execution of the program, and a preset for video content for each creator terminal Extracting media features according to classification model, classifying the extracted media features by category, receiving advertisement campaign information for advertisement targets from a plurality of advertiser terminals, generating an advertisement information list, and using an advertisement campaign management algorithm Then, after performing advertisement matching between the advertiser terminal and the creator terminal, advertisement effect information is collected through media activity information for video content reflecting advertisement information based on the advertisement matching result and marketing tracking setting for the advertisement information. , Compensation is set by reflecting the media activity information and advertisement effect information to a preset compensation policy, and the advertisement campaign management algorithm calculates an advertisement suitability between the media feature and advertisement campaign information based on the advertisement information list, , A recommendation list is generated by priority according to the advertisement suitability and provided to the creator terminal, and when advertisement progress consent information of the creator terminal and the advertiser terminal is received, mutual advertisement matching is completed.

According to the above-described problem solving means of the present invention, it is possible to recommend the schedule information of the creator or advertisement information suitable for the video context, and thereby, the viewer who views the content reflecting the advertisement information can naturally view the advertisement information, so that Potential purchasing power can be improved by inducing the reaction of viewers or stimulating curiosity, and it can be helpful in generating revenue for creators.

In addition, the present invention enables marketing of an advertisement target through content that can be naturally exposed by matching the appropriate creator with the brand name or marketing of the advertisement target from the advertiser's point of view, thereby increasing the expectations of potential customers' purchase. It can be increased, and effective advertising expenditure is possible by paying the advertising amount according to the advertising effect.

1 is a diagram illustrating a configuration of an advertisement service processing system according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating the configuration of an advertisement progress server of FIG. 1.
3 is a flowchart illustrating an advertisement service process method according to an embodiment of the present invention.
4 is an exemplary diagram illustrating an interface screen for inputting profile information according to an embodiment of the present invention.
5 is an exemplary diagram illustrating an interface screen for inputting advertisement campaign information according to an embodiment of the present invention.
6 is an exemplary diagram illustrating a process of calculating a matching rate of an advertisement campaign management algorithm according to an embodiment of the present invention.
7 is an exemplary diagram illustrating a process of calculating an advertisement suitability of an advertisement campaign management algorithm according to an embodiment of the present invention.
8 is an exemplary diagram illustrating a recommendation list according to an advertisement suitability of FIG. 7.
9 is an exemplary diagram illustrating a result of advertisement matching through an advertisement campaign management algorithm according to an embodiment of the present invention.
10 is an exemplary diagram illustrating video content in which advertisement information is reflected according to an embodiment of the present invention.
11 is a diagram illustrating a review process before uploading of video content in which advertisement information is reflected according to an embodiment of the present invention.
12 is an exemplary diagram illustrating a marketing tracking setting function according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement the present invention. However, the present invention may be implemented in various different forms and is not limited to the embodiments described herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and similar reference numerals are assigned to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only "directly connected" but also "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, it means that other components may be further included, and one or more other features, not excluding other components, unless specifically stated to the contrary. It is to be understood that it does not preclude the presence or addition of any number, step, action, component, part, or combination thereof.

In the present specification, the'terminal' may be a wireless communication device with guaranteed portability and mobility, and may be any kind of handheld-based wireless communication device such as a smart phone, a tablet PC, or a notebook. In addition, the'terminal' may be a wired communication device such as a PC that can access other terminals or servers through a network. In addition, a network refers to a connection structure in which information exchange is possible between nodes such as terminals and servers, and includes a local area network (LAN), a wide area network (WAN), and the Internet (WWW). : World Wide Web), wired and wireless data networks, telephone networks, wired and wireless television networks, etc.

Examples of wireless data networks include 3G, 4G, 5G, 3rd Generation Partnership Project (3GPP), Long Term Evolution (LTE), World Interoperability for Microwave Access (WIMAX), Wi-Fi, Bluetooth communication, infrared communication, and ultrasound. Communication, Visible Light Communication (VLC), LiFi, etc. are included, but are not limited thereto.

The following examples are detailed descriptions to aid understanding of the present invention, and do not limit the scope of the present invention. Accordingly, the invention of the same scope performing the same function as the present invention will also belong to the scope of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating a configuration of an advertisement service processing system according to an embodiment of the present invention.

Referring to FIG. 1, the advertisement service processing system includes, but is not limited to, n creator terminals 200, m advertiser terminals 300, and advertisement processing servers 100.

The creator terminal 200 operates at least one personal channel on media channels provided by video content platforms such as YouTube, Naver TV, Africa TV, and Twitch, and creates and uploads video content to the personal channel. The creator terminal 200 provides profile information for participating in the advertisement service progress to the advertisement progress server 100, and receives compensation based on media activity information for video content reflecting the advertisement information and a preset compensation policy. do.

The advertiser terminal 300 provides advertisement campaign information on advertisement targets such as products and games to the advertisement progress server 100 to perform an advertisement request, and based on the advertisement effect information and compensation policy of the advertisement requested advertisement, the creator The reward is paid to the terminal 200. The advertiser terminal 300 may measure advertisement effect information through a marketing tracking setting for an advertisement target.

In this case, the advertising campaign is a series of advertising messages that share a single idea and theme that constitutes integrated marketing communication (IMC). Advertising campaigns utilize a variety of media channels during a specific ad posting period and target identified potential customers.

The advertiser terminal 300 uses a marketing tracking setting function to measure and optimize an advertising campaign and build a target using a tracking code. Accordingly, the advertiser terminal 300 measures an index of how many viewers flow in through the advertisement and how much sales the introduced viewers actually contribute to sales as advertisement effect information. The advertising effect information allows you to derive important indicators, such as the advertising profit rate or conversion rate of each ad unit.

The advertisement progress server 100 extracts media features according to a preset classification model for video content for each creator terminal and classifies them by category, generates an advertisement information list when advertisement campaign information is received, and uses an advertisement campaign management algorithm. Thus, advertisement matching between the advertiser terminal and the creator terminal is performed. In addition, the advertisement progress server 100 collects media activity information and advertisement effect information based on the result of advertisement matching, calculates a compensation according to a compensation policy, that is, an advertisement amount, and between the creator terminal 200 and the advertiser terminal 300 Make sure that the advertising amount is settled.

Meanwhile, the video content in which the advertisement information is reflected may be referred to as a 3rd party (hereinafter, referred to as a third party) advertisement content. If the first party is an advertiser company, the second party can be a buyer or viewer, and the third party can be a platform operator that can upload content between the first party and the second party.

FIG. 2 is a diagram illustrating the configuration of an advertisement progress server of FIG. 1.

Referring to FIG. 2, the advertisement processing server 100 includes a communication module 110, a memory 120, a processor 130, a database 140, and a display module 150.

The communication module 110 interworks with a communication network to provide a communication interface necessary for the advertisement processing server 100 to provide a transmission/reception signal between the creator terminal 200 and the advertiser terminal 300 in the form of packet data.

Here, the communication module 110 may be a device including hardware and software necessary for transmitting and receiving a signal such as a control signal or a data signal through a wired or wireless connection with another network device.

In the memory 120, a program for performing an advertisement service process method is recorded. Also, the memory 120 performs a function of temporarily or permanently storing data processed by the processor 130. Here, the memory 120 may include a volatile storage medium or a non-volatile storage medium, but the scope of the present invention is not limited thereto.

The processor 130 executes a program for performing the advertisement service processing method so that the advertisement service through video content reflecting real-time advertisement information is performed through advertisement matching between the creator terminal 200 and the advertiser terminal 300. Control. Each operation performed by the processor 130 will be described in more detail later.

Here, the processor 130 may include all types of devices capable of processing data, such as a processor. Here, the'processor' may refer to a data processing device embedded in hardware having a circuit physically structured to perform a function represented by a code or instruction included in a program. As an example of a data processing device built into the hardware as described above, a microprocessor, a central processing unit (CPU), a processor core, a multiprocessor, and an application-specific integrated (ASIC) circuit) and processing devices such as field programmable gate arrays (FPGAs), but the scope of the present invention is not limited thereto.

The database 140 stores data accumulated while performing an advertisement service process method. For example, the database 140 may store profile information, advertisement campaign information for each advertiser terminal, media characteristic information for each creator terminal, and result information of advertisement matching.

The display module 150 outputs an interface screen for inputting profile information or advertisement campaign information under the control of the processor 130, and outputs an advertisement analysis result and a compensation settlement result according to the result of advertisement matching on the screen.

3 is an operation flowchart showing a method of performing an advertisement service according to an embodiment of the present invention, and FIG. 4 is an exemplary view illustrating an interface screen for inputting profile information according to an embodiment of the present invention, and FIG. 5 is An exemplary diagram illustrating an interface screen for inputting advertisement campaign information according to an embodiment of the present invention.

Referring to FIG. 3, when the creator terminal 200 receives profile information including schedule information for advertisement posting, desired advertisement target information, and desired reward information (S1), the advertisement processing server 100 receives the corresponding creator terminal ( 200) collects media activity information on video content uploaded in real time through the video content platform (S2).

As shown in FIG. 4, the creator terminal 200 may set a branded content unit price, a native content unit price, a video reuse copyright unit price, and a desired advertisement product. The branded advertisement policy provided by the advertisement processing server 100 is an active advertisement, and is a video format that naturally exposes the brand name and points that the advertiser thinks as the merits of the product/service by exposing more than 33% of the total video length. Native advertising policy is more active than PPL, and is a video format that naturally exposes the brand name and advertisers, mentioning the merits of the product/service once or twice by exposing about 10% of the total video length.

The creator terminal 200 may select an advertisement policy suitable for the context of the video content to be produced, and may request reuse copyright of the video content reflecting the advertisement information.

The advertisement progress server 100 extracts media features of video contents uploaded to a personal channel by using a classification model based on machine learning and automatically classifies them into a predefined category (S3).

Video content includes channel information, video basic information (thumbnail, title, ID, etc.), video context information (audio, video, image, etc.), target audience information (viewer age or gender, etc.), viewing information (views, impressions, likes, etc.) Includes raw data, including number of dislikes, number of viewers, retention rate, clicks per impression, etc.). These raw data include natural language data such as audio, video, images, metadata, titles, and description tags.

Therefore, the classification model uses a Topic Modeling algorithm including TF-IDF (Term Frequency-Inverse Document Frequency), LDA (Latent Dirichlet Allocation, LDA), or hLDA (Hierarchical LDA). Extract words as media features. In addition to the topic modeling algorithm, the classification model may use a keyword-based feature extraction algorithm such as stemming or lemmatization.

The classification model learns media features for a predefined category using media features extracted from numerous video contents on a media channel, and classifies the categories using media features extracted from video contents of a corresponding creator terminal.

The advertisement progress server 100 receives advertisement campaign information including the type, description, image, purpose, target target, advertisement budget and schedule of the advertisement target from the advertiser terminal 300 (S4).

As shown in FIG. 5, the advertiser terminal 300 displays the advertisement target type, advertisement target name, advertisement target introduction, advertisement target image, detailed description of the advertisement target, target customer information of the advertisement target, advertisement purpose, and Enter your ad budget and schedule. In this case, the advertiser terminal 300 may additionally input reflection items such as an advertisement effect period, that is, an advertisement publication schedule and an advertisement publication day.

6 is an exemplary diagram illustrating a process of calculating a matching rate of an advertisement campaign management algorithm according to an embodiment of the present invention, and FIG. 7 is a diagram illustrating an advertisement suitability calculation of an advertisement campaign management algorithm according to an embodiment of the present invention. It is an exemplary diagram illustrating a process, and FIG. 8 is an exemplary diagram illustrating a recommendation list according to an advertisement suitability of FIG. 7. 9 is an exemplary diagram illustrating a result of advertisement matching through an advertisement campaign management algorithm according to an embodiment of the present invention.

The advertisement progress server 100 performs an advertisement matching function between the creator terminal 200 and the advertiser terminal 300 by performing an advertisement campaign management algorithm.

First, the advertisement campaign management algorithm classifies advertisement campaign information into pre-defined keyword-based advertisement categories, and assigns classified media characteristics by category to the classified advertisement categories, Calculate the matching rate.

For example, as shown in FIG. 6, the advertisement category can be classified into snacks, diet belts, camera apps, coffee, beer apps, games, beauty, etc., and media features for video content produced by a specific creator are It could be eating food, vlogs, sound-focused, work life, mid-to-low-priced buyers, golf, and yoga. Since creators produce video content using various materials, media features may be classified into at least one or more categories.

The advertising campaign management algorithm can calculate the matching rate using the number of allocated areas ('○') and unallocated areas ('X'), weights assigned to desired advertisement target information of the creator terminal 200, etc. have. Here, the matching rate may reflect the degree to which the creator terminals 200 accept participation in ad service progress. That is, the matching rate reflects complex factors depending on how much acceptance/rejection of an advertisement proposal for a certain period of time, how much time has elapsed since the previous advertisement service, and whether or not a famous brand is preferred.

As shown in FIG. 7, the advertisement campaign management algorithm calculates the expected viewing information (expected views/expected impressions) for the video content reflecting the advertisement information based on the viewing information for the video content, and then calculates the matching rate and After calculating the advertisement suitability based on the expected viewing information, the ranking of the creators is arranged according to the calculated advertisement suitability.

In this case, as shown in FIG. 6, the advertisement suitability is calculated using machine learning through accumulated data on whether the'what advertisement category' is matched with the'creator having media characteristics for what content'. For example, ad suitability can be expressed by dividing into numerical or level categories to determine how good the advertising effect will be when performing specific advertising content, and the A creator terminal is expected to be at the'best' level of advertising effect when running the B advertising campaign. And. It can be expressed that an 80% guarantee rate of advertising effectiveness is expected.

By using the media features of the plurality of creator terminals 200, the creator 1 most suitable for the video context, channel information, country, search influence, description, and subject category for a specific product may be selected as the best priority.

Referring to FIG. 3 again, when the advertisement matching between the creator terminal 200 and the advertiser terminal 300 is completed through the advertisement campaign management algorithm, the advertisement progress server 100 creates a recommendation list according to the priority of advertisement suitability. It is transmitted to the creator terminal 200 (S6).

As shown in FIG. 8, the creator terminal 200 may select acceptance/rejection to participate in progress of at least one advertisement service from advertisements 1 to 5 through a recommendation list.

Meanwhile, when the advertisement matching using the advertisement campaign management algorithm fails, the advertisement progress server 100 matches the creator terminal 200 based on the desired advertisement target information of the creator terminal 200 or the advertisement schedule of the advertisement list information. Estimated time information for providing a recommendation list may be provided.

The advertisement progress server 100 completes mutual advertisement matching when advertisement progress consent information is received from the creator terminal 200 and the advertiser terminal 300 (S7). As illustrated in FIG. 9, when matching of a creator terminal (or influencer) is successfully completed, a review before uploading a video, transmission of an advertisement, an advertisement effect report, and settlement can be smoothly performed through opening a campaign manager. Here, the campaign manager includes a user interface that enables an influencer to perform marketing by an advertisement campaign management algorithm. On the other hand, influencers are people who have tens of thousands to hundreds of thousands of followers for each SNS channel as SNS develops, leading trends or influencing others, and influence marketing using these influencers. It is called Luencer Marketing.

10 is an exemplary diagram illustrating video content in which advertisement information is reflected according to an embodiment of the present invention, and FIG. 11 is a diagram illustrating a review process before uploading video content in which advertisement information is reflected according to an embodiment of the present invention. .

When the creator terminal 200 on which the advertisement matching is completed creates and uploads the preliminary video content reflecting the advertisement information using the advertisement campaign information, the advertisement progress server 100 transmits the preliminary video content to the advertiser terminal 300 for review. Let it happen.

The creator terminal 200 may insert advertisement information into its own content in the following four types. The four types of ads include In-Video of an overlay ad that appears at the bottom of the video, In-Stream, an ad of 30 seconds or less that is inserted before, during, or after the video play, and next to the video or a list of featured videos. There is a banner (Banner), an advertisement displayed at the top of the page, and True View, an advertisement that allows users to skip the advertisement after seeing the advertisement for 5 seconds, and actually charges a fee for the viewing time viewed by the viewer.

As illustrated in FIG. 10, the creator terminal 200 determines an advertisement information insertion portion of the total video length according to the video context and the branded content/native content. In addition, as shown in FIG. 11, a video reproduction title, thumbnail, etc. are set to produce preliminary video content reflecting advertisement information (S8).

When it is determined that the introduction or description of the advertisement target has been normally performed according to the advertisement purpose according to the advertisement campaign information, the advertiser terminal 300 transmits the inspection completion information for the preliminary video content. The advertisement progress server 100 transmits upload request information to the creator terminal 200 according to the inspection completion information, so that the video content is uploaded on the media channel so that potential customers, viewers, can view the advertisement information through media activities ( S9).

If, from the advertiser terminal 300, correction request information, such as an error portion or a highlight portion of the preliminary video content, is received, the advertiser terminal 300 transmits correction request information to the creator terminal 200 within a preset number of times. And the creator terminal 200 to proceed with a preliminary inspection procedure.

This preliminary video content review process may be performed at least once or more in advance so that the advertiser's reflection items are properly included while preventing the creator's creative activities from being disturbed, but omitted depending on the channel characteristics or the media characteristics of the creator terminal 200 It could be.

Referring to FIG. 3 again, the advertisement processing server 100 may calculate advertisement effect information for the advertisement information through a marketing tracking setting function in conjunction with the advertiser terminal 300 (S10). The advertising effect information can be calculated through index analysis on the number of views/exposures for the advertisement information insertion part of the total video content uploaded according to a preset period, the number of purchase viewers through advertisement information, and the number of impressions of advertisement information. have.

12 is an exemplary diagram illustrating a marketing tracking setting function according to an embodiment of the present invention.

As shown in FIG. 12, the advertisement progress server 100 checks whether the creator terminal 200 already has a marketing tracking setting function or whether to link the marketing tracking setting function. The marketing tracking setting function allows you to measure and optimize advertising campaigns and build targets using tracking codes embedded in websites, applications or advertising information.

The advertisement progress server 100 collects advertisement effect information and media activity information for advertisement information, and calculates a compensation amount by reflecting the collected advertisement effect information and media activity information to a preset compensation policy, Compensation is settled between the creator terminals 200 (S11). In this case, the advertisement progress server 100 may calculate a variable compensation amount based on the advertisement effect, but a preset designated compensation amount may be applied.

The advertisement progress server 100 calculates the receipt compensation information of the creator terminal 200 participating in the advertisement service according to the compensation policy based on media activity information, excluding fees or other advertisement costs, and compensates based on the advertisement effect information. Calculate payment compensation information of the advertiser terminal 300 that performed the advertisement request according to the policy. By providing the received compensation information and payment compensation information respectively calculated in this way to the creator terminal 200 and the advertiser terminal 300, compensation is made according to a payment method promised in advance.

Meanwhile, steps S1 to S11 of FIG. 3 may be divided into additional steps or may be combined into fewer steps according to an embodiment of the present invention. In addition, some steps may be omitted as necessary, and the order of steps may be changed.

The advertisement service processing method according to the embodiment of the present invention described above may also be implemented in the form of a recording medium including instructions executable by a computer, such as a program module executed by a computer. Such recording media include computer-readable media, and computer-readable media may be any available media that can be accessed by a computer, and include both volatile and nonvolatile media, and removable and non-removable media. In addition, computer-readable media includes computer storage media, which are volatile and nonvolatile embodied in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. , Both removable and non-removable media.

The above description of the present invention is for illustrative purposes only, and those of ordinary skill in the art to which the present invention pertains will be able to understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as being distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

100: ad progress server
110: communication module 120: memory
130: processor 140: database
150: display module

Claims (23)

In an advertisement service progress system that provides advertisement information through a media channel,
At least one creator terminal for uploading video content to a personal channel operated through the media channel;
At least one advertiser terminal for performing an advertisement request by providing advertisement campaign information for an advertisement target; And
Media features are extracted according to a preset classification model for the video content for each creator terminal and classified by category, and when the advertisement campaign information is received, an advertisement information list is generated, and the advertisement campaign management algorithm is used to communicate with the advertiser terminal. Comprising an advertisement progress server configured to set compensation information according to the compensation policy by performing advertisement matching between creator terminals and collecting media activity information and advertisement effect information based on the result of the advertisement matching,
The advertising campaign management algorithm,
Calculates an advertisement suitability between the media feature and advertisement campaign information based on the advertisement information list, generates a recommendation list by priority according to the advertisement suitability, and provides it to the creator terminal, and the advertisement proceeds between the creator terminal and the advertiser terminal. When consent information is received, mutual advertisement matching is completed. The method of claim 1,
The advertisement progress server receives profile information for participating in the advertisement service progress from the creator terminal, wherein the profile information includes schedule information for advertisement posting, desired advertisement target information, and desired reward information,
The advertising campaign information will include the type, description, image, purpose, target target, advertising budget and schedule of the advertising target, advertising service progress system. The method of claim 1,
The advertisement progress server,
Using a classification model based on machine learning, media features of video contents uploaded to personal channels are extracted and automatically classified into a predefined category,
The classification model learns media features for a predefined category using raw data including channel information, video basic information, video context information, target target information, and viewing information of the video content, and media features in the video content The advertisement service progress system to classify the category using the extracted media features after extracting the. The method of claim 3,
The classification model uses a Topic Modeling algorithm including TF-IDF (Term Frequency-Inverse Document Frequency), LDA (Latent Dirichlet Allocation, LDA), or hLDA (Hierarchical LDA). To extract words as media features, advertising service progress system. The method of claim 1,
The advertising campaign management algorithm,
The advertisement campaign information is classified into an advertisement category based on a predefined keyword, and a media characteristic classified by category is allocated to the classified advertisement category to calculate a matching rate for an area to which the media characteristic is allocated to all advertisement categories. And calculating the predicted viewing information for the video content reflecting the advertisement information based on the viewing information for the video content, and then calculating an advertisement suitability based on the matching rate and the predicted viewing information. The method of claim 5,
The advertising campaign management algorithm,
When the desired advertisement target information is included in the profile information, a weight is set to an advertisement category corresponding to the desired advertisement target information. The method of claim 1,
The advertisement progress server,
When the advertisement matching fails, the advertisement service progress system provides predicted time information for providing a recommendation list matching the creator terminal based on the advertisement schedule of the advertisement list information or the desired advertisement target information of the profile information. . The method of claim 1,
The advertisement progress server,
When the creator terminal on which the advertisement matching has been completed uploads the preliminary video content reflecting the advertisement information using the advertisement campaign information, the preliminary video content is transmitted to the advertiser terminal,
When the inspection completion information for the preliminary video content is received from the advertiser terminal, the upload request information is transmitted to the creator terminal. The method of claim 8,
The advertisement progress server,
Upon receiving modification request information for the preliminary video content from the advertiser terminal, transmitting the modification request information to the creator terminal to perform a review procedure of the preliminary video content between the advertiser terminal and the creator terminal within a preset number of times In, advertising service progress system. The method of claim 1,
The advertisement progress server receives advertisement effect information measured through a marketing tracking setting for the advertisement target from the advertiser terminal,
The advertising effect information,
It is calculated through index analysis of the number of views/exposures for the video area in which the advertisement information is reflected, the number of purchase viewers through the advertisement information, and the number of impressions of the advertisement information according to a preset period. , Advertising service progress system. In the advertisement service progress method performed by an advertisement progress server that provides advertisement information through a media channel,
a) receiving profile information for participating in ad service progress from at least one creator terminal that uploads video content to a personal channel operated through the media channel;
b) extracting media features according to a classification model preset for the video content for each creator terminal, and classifying the extracted media features by category;
c) generating an advertisement information list by receiving advertisement campaign information for an advertisement target from at least one advertiser terminal;
d) performing advertisement matching between the advertiser terminal and the creator terminal using an advertisement campaign management algorithm;
e) collecting advertisement effect information through media activity information for video content reflecting advertisement information based on the advertisement matching result and marketing tracking setting for the advertisement information; And
f) including the step of setting compensation information by reflecting the media activity information and advertisement effect information to a preset compensation policy,
The advertising campaign management algorithm,
Calculates an advertisement suitability between the media feature and advertisement campaign information based on the advertisement information list, generates a recommendation list by priority according to the advertisement suitability, and provides it to the creator terminal, and the advertisement proceeds between the creator terminal and the advertiser terminal. When consent information is received, mutual advertisement matching is completed. The method of claim 11,
The profile information includes schedule information for posting advertisements, desired advertisement target information, and desired reward information,
The advertising campaign information will include the type, description, image, purpose, target target, advertising budget and schedule of the advertising target, advertising service progress method. The method of claim 12,
Before receiving the profile information, an interface screen for inputting the profile information is provided to the creator terminal,
Branded content that exposes advertisement information including the brand name of the advertisement target and introduction information of the advertisement target during a preset video playback time (T1), and advertisement information including the brand name of the advertisement target and introduction information of the advertisement target is preset. To set the desired reward information according to the native content exposed during the video playback time (T2, T2 <T1), advertising service progress method. The method of claim 11,
The advertising effect information,
An index analysis of the number of views/exposures for the video area in which the advertisement information is reflected among the total images of the video content, the number of purchase viewers through the advertisement information, and the number of exposures of advertisement information according to a preset period in connection with the advertiser terminal That is calculated through the advertising service progress method. The method of claim 11,
Step b),
Using a classification model based on machine learning, keyword-based media features are extracted from video contents uploaded to personal channels and automatically classified into a predefined category,
The classification model learns media features for a predefined category using raw data including channel information, video basic information, video context information, target target information, and viewing information of the video content, and media features in the video content After extracting, classifying a category using the extracted media features. The method of claim 11,
The advertising campaign management algorithm,
d-1) classifying the advertisement campaign information into an advertisement category based on a predefined keyword;
d-2) calculating a matching rate for an area to which the media feature is assigned to all advertisement categories by assigning the classified media features to the classified advertisement categories;
d-3) calculating expected viewing information for the video content reflecting the advertisement information based on the viewing information for the video content, and then calculating an advertisement suitability based on the matching rate and the expected viewing information. That, advertising service progress method. The method of claim 16,
The step d-2),
When the desired advertisement target information is included in the profile information, a weight is set to an advertisement category corresponding to the desired advertisement target information. The method of claim 16,
The advertising campaign management algorithm,
d-4) If the advertisement matching fails, further comprising the step of providing predicted time information for providing a recommendation list matching the creator terminal based on the advertisement schedule of the advertisement list information. Way. The method of claim 11,
Step d),
When the creator terminal on which the advertisement matching has been completed uploads the preliminary video content reflecting the advertisement information using the advertisement campaign information, the preliminary video content is transmitted to the advertiser terminal,
When the inspection completion information for the preliminary video content is received from the advertiser terminal, the upload request information is transmitted to the creator terminal. The method of claim 19,
Step d),
Upon receiving modification request information for the preliminary video content from the advertiser terminal, transmitting the modification request information to the creator terminal to perform a review procedure of the preliminary video content between the advertiser terminal and the creator terminal within a preset number of times In, advertising service progress method. The method of claim 11,
The step f),
Calculate receipt compensation information of a creator terminal participating in the advertisement service progress according to the compensation policy based on the media activity information,
To calculate payment compensation information of the advertiser terminal that performed the advertisement request according to the compensation policy based on the advertisement effect information. The method of claim 11,
After the step of setting the compensation information,
When the advertisement schedule is included in the advertisement campaign information, after the expiration of the advertisement schedule, when reuse of the video content reflecting the advertisement information is determined between the creator terminal and the advertiser terminal, the video reuse copyright of the corresponding video content To set compensation information, advertising service progress method. In an advertisement progress server that provides advertisement information through a media channel,
A memory in which a program for performing an advertisement service processing method between a creator terminal and an advertiser terminal for uploading video content to a personal channel operated through the media channel is recorded; And
And a processor for executing the program,
The processor, by executing the program,
Upon receiving profile information for participation in ad service progress from the creator terminal, media features are extracted according to a preset classification model for video content for each creator terminal, and the extracted media features are classified by category,
Receive advertisement campaign information for an advertisement target from a plurality of advertiser terminals to generate an advertisement information list,
After performing advertisement matching between the advertiser terminal and the creator terminal using an advertisement campaign management algorithm, media activity information for video content reflecting advertisement information based on the result of the advertisement matching and marketing tracking setting for the advertisement information Through collecting advertising effect information,
Reward is set by reflecting the media activity information and advertisement effect information to a preset compensation policy,
The advertisement campaign management algorithm calculates an advertisement suitability between the media characteristic and advertisement campaign information based on the advertisement information list, generates a recommendation list according to priority according to the advertisement suitability, and provides it to the creator terminal. When the advertisement progress consent information of the creator terminal and the advertiser terminal is received, mutual advertisement matching is completed.

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