KR20110048146A - Managing method for on-line advertisement - Google Patents
Managing method for on-line advertisement Download PDFInfo
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- KR20110048146A KR20110048146A KR1020090104832A KR20090104832A KR20110048146A KR 20110048146 A KR20110048146 A KR 20110048146A KR 1020090104832 A KR1020090104832 A KR 1020090104832A KR 20090104832 A KR20090104832 A KR 20090104832A KR 20110048146 A KR20110048146 A KR 20110048146A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
Abstract
The present invention relates to a method for automatically managing online advertisements. The present invention automatically matches which websites are appropriate to send advertisements according to the purpose, content, and target of advertisements, and analyzes the advertisement execution result even after the advertisement is started. It is possible to operate the banner advertisement area of each website as efficiently as possible by applying the advertisement sending algorithm according to the characteristics of the advertisement product even though a limited amount of advertisements are ordered to improve the efficiency through the adjustment or automated algorithm of. The purpose is to provide a method for automatically managing online advertisements.
Applying the present invention, by quantifying the factors that influence the effectiveness of the banner advertising through the actual execution result, it is possible to provide the advertiser with the optimal website and advertisement area information suitable for the purpose and content of the advertisement, the above figures are fixed Rather, the efficiency is improved over time because the efficiency is continuously modified in a higher direction. In addition, even though the advertisement is exposed to the appropriate advertisement area through the above process, the effect of the banner advertisement can be maximized by additionally implementing an optimization algorithm. In addition, by providing information for producing a banner suitable for the selected advertising area to the advertiser can further increase the effect, it is possible to easily and quickly produce banners of various sizes through the automatic banner production system. In addition, since several advertisement products can be combined in one advertisement area, there is an advantage that the utilization rate of the website can be improved by increasing the utilization rate even under the limited number of impressions and business conditions.
Description
The present invention relates to a method for automatically managing online advertisements, and more specifically, to classify characteristics of a website and user-related information on which a banner advertisement is displayed, to match a medium suitable for an advertiser's needs, and to automatically optimize even after an advertisement is started. Through online advertising automatic management method to increase the efficiency of advertising output through.
As is well known, due to the recent development of information and communication technology, the development of information providing technology that provides information on various fields in real time to a plurality of subscribers through at least one host server through a remote data communication network is actively underway.
Based on this, in recent years, information selection technology and compression technology are being developed to more easily access peripheral technologies such as cache memory expansion technology to provide accurate information to subscribers more quickly and subscribers' tastes and preferences. It is also accelerating the development of various contents and its solutions.
While the overall recession tends to shrink during times of economic recession, the online advertising market continues to grow and has proven to be more efficient than offline advertising. However, advertisers' demands are increasing and various advertising techniques are being developed accordingly.
Recently, the market share of "search advertising", which shows the website information of advertisers related when a user enters a search term in a search-specialized website, is expanding.
This is because these search advertisements expose relevant advertisements in response to the user's search request (to obtain relevant information through the search term input) and pay only when the user clicks on the corresponding advertisements. .
However, even though there is no intention of watching an advertisement, the problem of 'false click' which is repeatedly generated by a person or a machine continuously occurs. In addition, an important variable that determines whether or not an ad is shown and the rank of the impression is the amount of advertising that is paid per click. In addition, the overall website sales will be reduced advertising revenue.
Meanwhile, "banner ads," in which advertisements are displayed in a certain area of a website in the form of images or flashes, are a traditional online advertisement method, and growth is slowing somewhat. Although there are many reasons, banners are displayed on the website regardless of the user's actions or choices, so the impression-to-click ratio (hereinafter referred to as "CTR.Click Through Rate") is lower than that of "search ads". The cost is pointed out as a disadvantage.
However, because it is possible to differentiate the online advertising that attracts the user's attention, there is a steady demand and it will continue to be an important online advertising method in the future.
In this situation, various methods have been tried to improve the efficiency of banner advertisements. In particular, "Behavioral Targeting Advertising" technique attracts attention. This is a method of accumulating and analyzing the Internet usage record by creating a cookie on the user's PC, and customizing the advertisement that matches the user's interests when visiting the website where the advertisement is displayed.
For example, a user who frequently visits a website related to a car or searches a lot of related searches is preferentially exposed to a car-related advertisement. While this method has the advantage of being more efficient than general banner advertising, it faces strong government regulations in that it uses cookies to indiscriminately collect personal information such as browsing data and link it to advertising.
On the other hand, the format and content of the banner itself in banner advertising can be said to be one of the most important variables that determine the advertising effect. In particular, even if the same banner, the effect is very different depending on the characteristics of the website on which the banner is to be displayed, but focusing only on the product or service to be advertised, it is being produced at the discretion of the advertiser, it is not enough to induce the effect. In addition, in order to send the same advertisement to multiple websites, it is another important issue of banner advertisement that the production of dozens of banners meeting the standard of the website is required.
In the end, the most common way to run banner ads is to rely on people's subjective judgment rather than technology. For example, even an expert group called "online advertising agencies" or "Media Representatives" may be able to send ads based on past advertising results or basic demographic characteristics (gender, age, occupation, etc.). He selects and scales websites and produces banners.
In addition, most of the websites that run banner ads actually sell only about 50% of the amount that can be sold as advertisements (generally measured as “Impression”, which is the total number of banner ads exposed). Although there is a problem of the limitation of advertising sales, the lack of a system that can efficiently run the ordered advertisements is an important cause of low sales rate.
Therefore, a new way to increase the efficiency and protect the rights of users while maintaining the original advantages of banner advertising can be said.
The present invention has been made in view of the above-described prior art, and automatically matches which website it is appropriate to send an advertisement depending on the purpose and content of the advertisement and the target of the advertisement. Analyze and improve the efficiency through the advertiser's adjustment or automated algorithm, and operate the banner advertisement area of each website as efficiently as possible by applying the advertisement sending algorithm according to the characteristics of the advertisement product even if a limited amount of advertisement is received. The purpose is to provide a method for automatically managing online advertisements.
Another object of the present invention is to provide an online advertisement management method that provides information for producing a banner suitable for a website to which advertisements are to be sent, and can easily produce banners of various sizes.
In order to achieve the above object, according to a preferred embodiment of the present invention, in the method for registering and sending an online banner advertisement that can enhance the effect, the advertiser registers information related to the purpose, content, and targeting of the advertisement; Steps; Calculating a suitability index by calculating a suitability of the information and the individual advertisement area; A third step of providing appropriate banner information based on the effect data of the advertisements transmitted from the advertisement regions when the advertiser selects the advertisement region to which the advertisement is to be sent based on the generated fitness index; A fourth step of creating and registering an advertisement delivery basic policy when the advertiser registers all advertisement related information; A fifth step of changing a transmission rate according to the effect of the performance-type advertisement product when the registered advertisement is transmitted; A sixth step of changing a transmission rate according to an effect among a plurality of banners when the registered advertisement is transmitted; When the registered advertisement is terminated, an online advertisement automatic management method is provided, comprising calculating a transmission result data to update information for each advertisement region.
Preferably, the second step may include: defining a target advertisement area for calculating a goodness of fit index when the advertiser selects a form of the advertisement target website; If the advertiser selects a type of a product or service to be advertised, further defining a target advertisement area for calculating a goodness of fit index as an advertisement area having an average CTR or more when an advertisement of the corresponding type is sent; When the advertiser selects the advertisement purpose, ranking the ranking based on the effect score for each advertisement purpose of the individual advertisement areas, and then scoring the rank of the item selected by the advertiser in the overall ranking; When the advertiser selects the content characteristic and the demographic characteristic of the web page as the targeting information, calculating the number of matching items for each advertisement area and converting the ratio of the matching number to the total number of items as a score; If the advertiser determines priorities for the two characteristic items, further calculating scores according to the priorities; The automatic advertisement management method comprising the step of calculating the final goodness of fit index by additionally applying a weight to the score calculated through the above step according to the importance of each item, and multiply by the average CTR of the corresponding advertising area. do.
Preferably, the third step includes: calculating the average CTR for each advertisement area when the advertisement is sent and completed, and updating the calculated value by calculating a banner average CTR and a sum average value of the existing advertisement area; Calculating an average, maximum, and minimum CTR for each item of a banner type, format, message, and reward in the corresponding advertisement area when the advertiser selects the advertisement area; Generating a standard normal distribution based on all transmission result values of the type having the highest average value in the calculated data; On the basis of the ratio included in the standard deviation value in the standard normal distribution, the online index automatic management method is provided, comprising the step of providing appropriateness of the average value by dividing the recommendation index divided into upper, middle and lower. .
Preferably, the fourth step may include: allocating a certain area from the total number of exposures of the specific advertisement area to the exposed advertisement product commonly sold; Exposing the performance advertisement product to the unallocated area; Automatically increasing the delivery rate of the exposed advertising product when the impression-able advertising product is sold below a predetermined number of impressions by using all of the advertising area irrespective of the advertising sales situation. Management methods are provided.
Preferably, the fifth step is the step of transmitting the same rate for the first registered advertisement; Calculating an advertising expense spent by the advertisement as a result of sending the advertisement for a certain period of time, such as one day, and summing the advertising expenses per impression of the individual advertisements; Calculating weights based on the performance of individual advertisements relative to the average CTR of all advertisements; Calculating an output index of a specific advertisement based on the value calculated in the above step, calculating a ratio of the sum of the index values of the entire advertisements, and finally determining the ratio of the individual advertisements. An automatic advertising management method is provided.
Preferably, according to the transmission rate determination method of the performance-type advertising product, the automatic advertisement management method is provided that can be set directly by the advertiser, rather than determining the advertising price on the website.
Preferably, the sixth step may include: when the advertiser registers several banners for the same advertisement, initially transmitting the same ratio; Calculating a CTR as a result of sending the advertisement for a certain period of time; After calculating the total effect by summing the calculated data, the automatic advertisement management method of the online advertisement is provided, comprising the step of calculating the performance compared to the total effect of the specific banner and transmitting the advertisement according to the ratio.
Meanwhile, the present invention provides a method of easily producing a flash-type banner for an online advertisement by an advertiser, the first step of registering a basic flash file by changing an image, text, background color, etc. in an example flash file that has been produced by the advertiser; ; A second step of the advertiser directly registering the horizontal, square, and vertical basic flash files; A third step of analyzing the registered basic file and recording information on components, locations, and actions; A fourth step of selecting whether to maintain the size of the component regardless of the size of the banner to be generated by the advertiser; A fifth step of calculating a size of the banner that can be generated according to the selection and providing the same to the advertiser and selecting a size that the advertiser wants to generate; And a sixth step of generating a corresponding flash file by calculating details for generating the size of the selected banner.
Preferably, the method of generating the size of the banner selected by the advertiser may include analyzing the basic flash file registered by the advertiser and inferring relative positions by shape (eg, horizontal, square, and triangular) through vector coordinates of each element. ; Determining a relative position by classifying the size of the banner that the advertiser wants to generate by form; Further adjusting the position according to whether the size of elements included in the flash file is maintained; There is provided a method for automatically managing online advertisements comprising generating a flash file selected by an advertiser according to the determined position and size.
The automatic online advertisement management method according to the present invention can provide advertisers with optimal website and advertisement area information suitable for the purpose and content of advertisements by quantifying the factors that influence the effectiveness of banner advertisements through actual execution results. The value is not fixed, but is constantly modified in the direction of high efficiency, which has the advantage that the efficiency can be higher over time. In addition, even though the advertisement is exposed to the appropriate advertisement area through the above process, the effect of the banner advertisement can be maximized by additionally implementing an optimization algorithm. In addition, by providing information for producing a banner suitable for the selected advertising area to the advertiser can further increase the effect, it is possible to easily and quickly produce banners of various sizes through the automatic banner production system. In addition, since multiple advertisement products can be combined in one advertisement area, there is an advantage of improving the advertisement revenue of a website operator by maximizing utilization even under limited impressions and business conditions.
EMBODIMENT OF THE INVENTION Hereinafter, this invention is demonstrated in detail with reference to drawings.
1 is a block diagram of an automatic online advertisement management system according to an embodiment of the present invention.
Referring to this, the automatic online advertisement management system according to an embodiment of the present invention automatically matches which website is appropriate to send an advertisement according to the purpose, content, and target of advertisement, and even after the advertisement is started. Analyzing the execution results to improve the efficiency through the advertiser's adjustment or automated algorithms, and apply the advertisement delivery algorithm according to the characteristics of the advertisement product even if a limited amount of advertisements are ordered to maximize the banner advertisement area of the individual website. It is an automatic online advertising management method that can be operated efficiently.
In addition, the present invention is an online advertising automatic management method that can provide information to make a banner suitable for a website to send an advertisement, and can easily produce banners of various sizes.
To this end, the automatic online advertisement management system according to an embodiment of the present invention, a
The
The
When the
In this case, the
The
2 is a diagram illustrating a flow in which advertisements are transmitted and optimized through an automatic online advertisement management system according to the present invention.
Referring to this, as shown in the foregoing description, the matching algorithm is executed in the process of registering the advertisement by the advertiser, and the optimization algorithm is executed in the process of transmitting and executing the advertisement and the advertisement is exposed, so that the advertisement execution result after the advertisement exposure is finished. The process of updating the data used in the matching algorithm based on the above is repeated to obtain the efficiency of the advertisement and to maintain it at all times.
3 is a schematic diagram of calculating advertisement area matching and goodness-of-fit index based on targeting information according to the present invention.
Referring to this, as shown in the figure, the process of calculating the advertisement area matching and the goodness of fit index based on the targeting information, when the advertiser inputs or selects the advertisement related information, scores the advertisement output result data for each advertisement area for the corresponding item. It consists of
First, the advertiser selects a “type of website” to which the advertisement is to be sent, such as a “portal portal, a professional portal, news / media”, etc. (301), and the online advertisement automatic management system only selects the website selected by the advertiser. The fitness index is calculated for the target (302).
Next, the advertiser selects the “type of product or service” to be advertised from the categorized list (303), and the online advertisement system uses the CTR when the type of advertisement selected by the advertiser is sent out compared to the average CTR of the individual advertisement area. The range is further narrowed by calculating the fitness index for only the higher advertising area (304).
For example, if an advertiser selects a type A and the average CTR of the first advertising area is 0.2 and the average CTR of only the A type of ads sent out from the first advertising area is 0.15, the index is lower than the average CTR. It is excluded from the calculation target.
Next, the advertiser selects the “advertising purpose” such as “branding, encouraging member registration” from the categorized list (305), and the online advertisement system has an effect score (CTR) The score is calculated based on the advertiser satisfaction, the advertisement target achievement rate, and the like, and details are described later). Then, the selected item is scored in the overall ranking (306).
For example, if an advertiser selects 'membership' from the list of 10 for the purpose of advertising, and the 'membership' effect score of a particular advertisement area is 5th from the top, it gives 5 out of 10 points.
Next, the advertiser selects one or more “content characteristics” of the web page to be sent out such as “women and games” as user targeting information (307), and the online advertising system matches the “content characteristics” of individual advertisement areas. After calculating the number of items to be converted to the ratio of the number of matches to the total number of items is converted into a score (308). As the second user targeting information, the advertiser selects one or more distributions of users who want to watch an advertisement from the item list of “population statistics characteristics” (309), and the online advertising system determines the ratio of each distribution of the respective advertisement areas. The sum is converted into a score based on the ratio of the total (310).
For example, if the advertiser selects 20's and 30's in the age category, if 20% of the users in a specific advertising area and 40% of the 30's have a ratio of 60%, the sum of the selected ratios is 6 out of 10. It is calculated as a point. In this step, the above two kinds of targeting information are again prioritized by the advertiser (311). That is, the items of the "content characteristics" and "demographic characteristics" are listed in the order of importance.
Upon receiving this, the advertisement management system automatically calculates a goodness of fit index by multiplying the scores of the items calculated above and the scores given in the order of high priority (312). For example, if an advertiser has an age column of 2, and the corresponding item score for a particular ad area is 6 points (when the total number of targeting items is 10), then the second highest rank score, 9, is multiplied by 6 item scores. After that, the ratio of the total scores is calculated and converted to a perfect score of 10.
When the score is calculated for each item as described above, the weight for each item is multiplied according to the degree of significant influence on the advertising effect (313), and then multiplied by the average CTR of the advertising area, which is a direct result of the advertising effect, to calculate the final fitness index. (314). By providing the advertiser with the fitness index calculated as described above (315), the advertiser can easily find and select the most suitable advertisement area.
4A is a diagram illustrating an order in which an advertiser according to the present invention is provided with information necessary for producing an appropriate banner.
Referring to this, as shown, the automatic advertisement management system is divided into a process of updating the result of the ad which has already been sent, and a process of recommending and recommending a suitable banner for a new advertisement based on the updated data through the above process. can do.
First, when an advertisement is previously sent and completed (410), the
Thereafter, when an advertisement area to send an advertisement is determined through the process as shown in FIG. 3, an advertisement is registered (440), and the online advertisement automatic management system provides banner effect information for each target advertisement area (450). Can help you see what form and content of your banner can be used to increase advertising effectiveness.
4B is a diagram illustrating an example of a banner recommendation result list provided to an advertiser according to the present invention.
In this example, as shown, in this example, an important banner element affecting the advertising effect is represented by the type (the format of the file and includes image, flash, text, etc.), and the format (animation, video, Fixed messages, etc.), messages (such as branding, promotions, sales, campaigns, etc. delivered to users in banner ads), rewards (whether a user performs certain actions after clicking, And the average, maximum and minimum CTR are calculated and provided (470) when the banner of the type is sent to the individual advertisement area.
In the data, the standard normal distribution is generated based on all transmission result values of the type having the highest average value, and the recommended index is divided into upper, middle, and lower parts based on the ratio included in the standard deviation value (480). Allow for additional judgment of the adequacy of
4C is a diagram illustrating an example of an index calculation method for recommending an advertisement area according to the present invention.
Referring to this, as shown, the standard normal distribution is generated by the average CTR data of the specific banner effect elements of all the advertisement areas selected by the advertiser, and included in the distribution of the constant standard deviation values set in the online advertisement management system (490). ) If the value exceeds 80% of the total number, it is displayed as 'up', and if it is between 60 ~ 79%, 'medium' and if it is less than 59%, 'low'.
Figure 5a is a diagram showing a flash type banner automatic production method according to the present invention.
Referring to this, as shown, the advertiser may change an image, text, etc. in a template (example flash file) that has already been produced (501), or directly (502) to create a basic flash file of three types: horizontal, square, and vertical. Register at this time (the file to register should be the original file containing the information, such as action script for the next process) (503).
The automatic banner production system analyzes the basic flash file and records information on components, locations, and actions such as images and text (504), and the advertiser selects whether to maintain the component size regardless of the banner size. In operation 505, the size that can be generated is calculated and presented to the advertiser in
5B illustrates an example of analyzing a flash file and generating a flash file according to the present invention.
Referring to this, the flash file includes components such as text and images, and size and position information of the corresponding components (511). As shown, an example of an image element with an action (512) shows the position from the center point through vector coordinates (513), thereby inferring the relative position within the flash file. have. If the advertiser selects the option to maintain the size of the component, and only increases the horizontal size, only the position of the horizontal reference is adjusted through the data (514).
In addition, if the advertiser chooses the option to transform the component based on the size of the Flash file, and then increases the horizontal size and reduces the vertical size, the advertiser scales down the component to the proportion of the reduced size, The position is adjusted together according to the proportion of the increase or decrease in size (515).
6 is a diagram illustrating a basic policy for advertisement transmission according to the present invention.
Referring to this, as shown, the advertisement area may have a total number of exposures (600). In general, when an order is received from an advertiser, the advertisement is sent out as many as the number of order impressions, and the rest is sent out a banner for a self advertisement or a free service banner without profit. However, according to the present invention, a certain area is transmitted from the total number of exposures to the most commonly exposed type of exposed product (the product which pays the advertising fee according to the number of impressions) (610), and for the remaining area, the performance type product (advertising) After the click signing up, the purchase of goods, etc., the act of paying the advertisement cost) is transmitted (620). In other words, it is possible to increase the operational efficiency of the advertising area to the maximum by sending the advertisements sold based on the number of impressions first, and by sending the advertisements sold based on the remaining amount of exposure.
In addition, when the exposed goods are sold at a predetermined amount or less, the delivery rate of the exposed goods is automatically increased (630) to maintain the efficiency regardless of the sales situation.
7A is a view showing an example of the optimized delivery method of the performance-type goods according to the present invention.
Referring to this, as described above with reference to FIG. 6, the performance type product is not a method of purchasing a certain amount of impressions, but a method in which several advertisements are sent from one advertisement area because the exposure ratio is flexibly adjusted according to the performance. It needs to operate efficiently.
As shown in the figure, if the first four advertisements are registered at the same rate, all are sent out at the same rate by 25% (700). In this state, the result of the transmission for 1 day is measured by adjusting the efficiency of the advertisement from the following day to increase the ratio of the highly efficient advertisement (710). A new ad can then be added in the middle (ad 5), since the ad has not been measured for efficiency, so the ratio of "1 / (total ad)
Thereafter, as described above, the advertisement rate is adjusted for the entire advertisement to adjust the exposure ratio (730). At this time, the period for adjusting the rate of advertisement delivery may be more than one day depending on the measured accuracy.
Figure 7b is a diagram for measuring the advertising efficiency and the rate of delivery of performance products according to the present invention.
Referring to this, as shown in the figure, how much of the ad spend was spent on impressions (in this case, the spend means that the expected effect of the advertiser has been generated, and at the same time, the revenue of the sender has been generated). In operation 740, the advertisement cost per impression of the individual advertisements is added through the calculation as described above (750).
Here, the weight is calculated based on the performance compared to the average CTR in order to find out how much the ad itself sent clicks to the user (760). Based on the calculated value, the transmission index of the specific advertisement is calculated (770), and the ratio of the sum of the total index of the advertisement is calculated, and finally the ratio of the individual advertisement is determined (780).
8 is a diagram illustrating an example of a method for optimally delivering a banner according to the present invention.
Referring to this, when the advertiser registers three banners for the same advertisement, the advertisements are sent at the same rate at the start time (800), and the CTR is periodically calculated to measure the effect (810). Using the measured data, the banner delivery rate is changed from the next cycle. For example,
On the other hand, the automatic online advertisement management method according to an embodiment of the present invention is not limited to the above embodiments, but various modifications can be made without departing from the technical gist of the present invention.
1 is a block diagram of an online advertising automatic management system according to an embodiment of the present invention,
2 is a diagram of a flow in which advertisements are transmitted and optimized through an automatic online advertisement management system according to the present invention;
3 is a schematic diagram for calculating advertisement region matching and goodness-of-fit index based on targeting information according to the present invention;
4a is a diagram of a sequence in which an advertiser according to the present invention is provided with information necessary to produce an appropriate banner;
4B is a view showing an example of a banner recommendation result list provided to an advertiser according to the present invention;
4c illustrates an example of a method for calculating an index for recommending an advertisement area according to the present invention;
Figure 5a is a view showing a flash type banner automatic production method according to the present invention,
5B illustrates an example of analyzing a flash file and generating a flash file according to the present invention;
6 is a view showing a basic policy for sending advertisements according to the present invention;
7A is a view showing an example of a method for optimal delivery of performance products according to the present invention;
Figure 7b is a schematic diagram for measuring the advertising efficiency of the performance-type product and the rate of delivery according to the present invention,
8 is a diagram illustrating an example of a method for optimally delivering a banner according to the present invention.
* Description of the symbols for the main parts of the drawings *
110: web server for online services, 120: web application server,
130: data server, 140: scheduler server,
150: media delivery server, 160: log recording server.
Claims (9)
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| Application Number | Priority Date | Filing Date | Title |
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| KR1020090104832A KR20110048146A (en) | 2009-11-02 | 2009-11-02 | Managing method for on-line advertisement |
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| KR1020090104832A KR20110048146A (en) | 2009-11-02 | 2009-11-02 | Managing method for on-line advertisement |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20160054067A (en) * | 2014-11-03 | 2016-05-16 | 주식회사 애드오피 | Advertisement matching method for online contents and advertisement matching server thereof |
| KR20160095662A (en) | 2015-01-08 | 2016-08-12 | (주) 애드잇 | Method for automatically making banner advertisement and server thereof |
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2009
- 2009-11-02 KR KR1020090104832A patent/KR20110048146A/en not_active Application Discontinuation
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20160054067A (en) * | 2014-11-03 | 2016-05-16 | 주식회사 애드오피 | Advertisement matching method for online contents and advertisement matching server thereof |
| KR101628510B1 (en) | 2014-11-03 | 2016-06-09 | 주식회사 애드오피 | Advertisement matching method for online contents and advertisement matching server thereof |
| KR20160095662A (en) | 2015-01-08 | 2016-08-12 | (주) 애드잇 | Method for automatically making banner advertisement and server thereof |
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