KR20020030383A - methode for optimizing advertisements according to a user in a computer network system - Google Patents

Abstract

PURPOSE: A method for optimizing advertisement according to a user on a computer network is provided to change an advertisement according to the favorites of user in order to maximize the advertisement effect. CONSTITUTION: The advertisement optimizing method comprises steps of making a database with an optimized advertisement classification table by classifying the advertisement files on the basis of the information of a user computer and the visit preference, analyzing the information and recent visit preference of connecting user computer, selecting an optimized advertisement pool consisting of a banner ID, image file name, and so on by referring the optimized advertisement classification table on the basis of the analyzed information, and outputting one of the optimized advertisement.

Description

Method for optimizing advertisements according to a user in a computer network system}

The present invention relates to an advertisement optimization method according to a user on a computer network, and more particularly, to maximize an effect of an advertisement, and to optimize an advertisement according to a user on a computer network that varies advertisements according to individual user's tastes. It is about a method.

The configuration of the conventional advertisement processing system on the Internet and the advertisement processing thereof are shown in FIGS. 1 and 2. In FIG. 1, the conventional advertisement processing system includes a distribution means 21, a plurality of advertisement web servers 30, a middleware 40, a main server 50, an advertisement information database 51, and the like. As shown in Fig. 2, when accessing a specific web site to visit a specific homepage from the user computer 10 in step S1, a particular web site is used to display a particular web site using the {HTML} tag. The advertisement is approached and requested by each advertisement web server 30 through the distribution means 21 for equal distribution (step S2). Each advertisement web server 30 that has received such a request analyzes the homepage information and the user information in steps S3 and S4, and collects data coming from the middleware 40 (each of the advertisement web servers 60) to the main server 50. Means to send the advertisement, that is, the banner. In step S5, the request of each advertisement web server 60 is processed by the middleware 40, and in step S6, the main server 50 analyzes log information about the delivered user and what advertisements are sent and displayed. The result value is read from the advertisement information database 51 and the result value is transmitted to the middleware 40, and the middleware 40 transmits the result value to each advertisement web server 60 at step 7. At this time, each advertisement web server 30 can read and transmit the advertisement file corresponding to the result value from the storage means. In step 8, the manager 52 may output a result such as a list.

As such, the middleware 40 is employed to handle the requests from the advertising web server 60 and store the actual log in order to improve the performance of the advertisement processing system (using two compiler Pro Cs). Since the middleware 40 is required to output the advertisement, the middleware 40 has to obtain a result, so the management of the middleware 40, the purchase cost of the middleware 40, processor allocation (operating system), middleware In addition to the problem of dependence on the developer of (40), there is a problem that the access time is long, the data processing is limited, and the bottleneck occurs in the middleware 40.

In addition, the main server 50 is to handle the overall operation for managing, backup, etc. various data through the Oracle database, the new advertisement file or its change or deletion, to be registered, stored in the advertisement web server 60 The new registration, change, and deletion of advertisement information of the advertiser, the related website, the media company, and the like related to the advertisement file are stored and managed in the advertisement information database 51 via the main server 50. Accordingly, the above-described problem is further exacerbated, and there is a problem that the expansion of the new advertisement web server 60 is greatly limited by the performance of the main server 50.

On the other hand, when the corresponding advertisement (banner advertisement) is clicked on by the user computer 10, the information about the advertisement may also be stored in each advertisement web server 60 via the storage means. As a result, one common gateway interface (CGI) is required. For example, if a request is received for providing a voice advertisement, the voice advertisement server can transmit the voice file by referring to the link information and listen to the voice message (Patent Application No. 2000-0024427, published date: 2000). May 06).

FIG. 3 is a flowchart illustrating a homepage display process according to the types of the fixed and rotating banners according to the configuration of FIG. 1. In FIG. 3, when the page information, that is, the homepage information, is acquired (step S31), first, in step S32, the main server 50 determines the type of the fixed and rotating banners by referring to the advertisement information database 51. In the case of the fixed banner type, in step S33, the advertisement information database 51 fetches advertisement information such as a banner ID and an image file, and in step S34, it is determined whether the corresponding banner exists. The default banner is selected and a new tag is created in step S37. If present, the banner table is updated in step S36 and a new tag is generated in step S37. Thereafter, the cookie value is updated, and in step S50, the ground is displayed together with the banner advertisement. In step S32, in the case of a random banner, that is, a rotating banner type, in step S39, the advertisement information database 51 fetches advertisement information such as a banner ID and an image file, and in step S40, it is determined whether the corresponding burner exists. In the case of non-existence, the default veneer is selected in step S41 and a new tag is generated in step S44, and if present, it is randomly extracted from the veneer pool in step S42, the burner table is updated in step S43 and the new one is added in step S44 Create a tag. Thereafter, at step S45, the cookie value is updated, and at step S50, the ground is displayed together with the banner advertisement.

According to this process, the advertisement information is determined according to the homepage, and there is a problem that it is not evenly outputted for various advertisements, and it is determined according to the characteristics of the advertiser or the homepage (ground) regardless of the user's taste. There is a problem that it may be an inappropriate ad for the user.

Accordingly, the present invention is to solve the above problems, to maximize the effect of the advertisement to provide an advertisement optimization method according to the user on a computer network that differs according to the taste of each user. There is a purpose.

1 is a schematic block diagram showing the configuration of a conventional advertisement processing system on the Internet;

FIG. 2 is a block diagram illustrating a process of processing an advertisement by the configuration of FIG. 1;

FIG. 3 is a flowchart illustrating a homepage display process according to the type of the fixed and rotating banners according to the configuration of FIG. 1;

4 is a flowchart illustrating a configuration of an advertisement optimization method according to a user on a computer network according to an embodiment of the present invention;

5 is an explanatory diagram for explaining a method of optimizing an advertisement based on a page visited by a user (user);

6 is a block diagram showing a configuration of an advertisement processing system to which an advertisement optimization method according to a user is applied on a computer network of the present invention;

FIG. 7 is a block diagram illustrating a process of processing an advertisement by the configuration of FIG. 6. FIG.

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

10: user computer 20: Internet network

21: distribution means 30: advertising web server

40: middleware 50: main server

51: advertising information database 52: administrator

60: Ad Web Server (Ad Cupid Client) 61, 71: Ad Database

62: log database 63: administrator

70: ad cupid server 80: integrated management server

81: advertising database

In order to achieve the above object, an advertisement optimization method according to a user on a computer network according to an embodiment of the present invention includes an advertisement on the user computer when the user computer accesses a specific website through an internet network and a web browser. An advertisement processing system on a network for transmitting and displaying a message, the advertisement processing system comprising: classifying advertisement files based on information of a user's computer and recent tendency of visit and databaseting them into an optimal advertisement classification table; Analyzing information and visiting tendency of the connected user computer; Selecting an optimal advertisement pool including a banner ID, an image file name, etc. with reference to the optimal advertisement classification table based on the information in the analysis step; And outputting any one of the optimum advertisements.

The analyzing step is a step of fetching and analyzing the cookie value of the user computer; Further comprising the step of statistically reflecting the click information of the optimum advertisement in the user computer in the optimal advertisement classification table; The optimal advertisement classification table is prepared by classifying gender, age, etc., and classifying a homepage into sports, economy, education, art, etc., and classifying advertisements accordingly. Checking the number of impressions of the selected advertisement so that the advertisements classified in the optimal ad classification table are output evenly, and selecting other advertisements so that they are not output when the number of impressions is greater than the set limit impressions in the checking step. And returning when the number of exposures of the selected burner is smaller than the set limit exposure number.

As such, one of the optimal advertisements may be output by analyzing the information of each user's computer and the recent visiting tendency, and further, the advertisements necessary for the user's computer may be output by supplementing it according to the click information.

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

The advertisement optimization method according to the user on the computer network of the present invention can be applied to the conventional configuration of Figs. 1 and 2, or to the configuration of the advertisement processing system of Figs. 6 and 7, and the configuration of the specific advertisement optimization method is 4 is shown as an embodiment.

First, the advertisement optimization method according to the user on the computer network of the present invention will be described with reference to FIGS. 1 and 2 with reference to FIG. 4. In step S32, the main server 50 determines the type of the fixed banner, the rotating banner, and the target banner (optimization banner) required by the corresponding home page, with reference to the advertisement information database 51. In the case of the fixed banner type, in step S33, the advertisement information database 51 fetches advertisement information such as a banner ID and an image file, and in step S34, it is determined whether the corresponding banner exists. The default banner is selected and a new tag is generated in step S37. If present in step S34, the number of impressions of the selected banner is checked in step S51. When the number of exposures is greater than the set limit exposure number, the process returns to step S34 to determine whether another burner exists and to repeat. When the number of exposures of the selected burner is smaller than the set limit exposure number in step S51, the exposure log is stored in step S52, the banner table is updated in step S36, and a new tag is generated in step S37. Thereafter, the cookie value is updated (step S38), and in step S50, the ground is displayed together with the banner advertisement.

In the case of a random banner, that is, a rotating banner type in step S32, in step S39, the advertisement information database 51 fetches advertisement information such as a banner ID and an image file, and in step S40, it is determined whether the corresponding burner exists. In the case of absence, the basic banner is selected in step S41 and a new tag is generated in step S44. If present, the tag is randomly extracted from the veneer pool in step S42, and the number of impressions of the selected banner is checked in step S53. . When the number of exposures is greater than the set limit exposure number, the process returns to step S40 to determine whether another burner exists and to repeat. When the number of exposures of the selected burner is smaller than the set limit exposure number in step S53, the exposure log is stored in step S54, the banner table is updated in step S43, and a new tag is generated in step S44. Thereafter, at step S45, the cookie value is updated, and at step S50, the ground is displayed together with the banner advertisement.

Although the above-mentioned limited exposure number can be simply limited to the total number of times, it can also be limited over time, and the difference in the number of exposures relative to the total average or the group average of each exposure advertisement is defined as the limited number of exposures. It is also possible.

On the other hand, if the target banner type, which is an advertisement optimization method according to the user according to an embodiment of the present invention is selected by the corresponding homepage, in step S61, the cookie information of the user is fetched and the corresponding information based on this (optimal advertisement pool information). ) Is fetched from the optimum advertisement classification table provided in the advertisement information database 51 (step S62). The optimal advertisement pool information may include a banner ID, an image file name, and the like, and cookie values may be desirable to fetch the latest ones.

For example, in the above-described target benner type analysis of the visited ground, the target criteria from the current user computer 10 (denoted as the user) in FIG. 5 may be various, but with the current user's cookie, The interests go back from the present to the past, and analyze the appropriate number of pieces of ground information (statistics from the ground A to the ground J) and show the advertising banner according to the ground K. Also, depending on the characteristics of the ground K, you can also display a specific advertising banner from the target bener pool. In addition, the interest criteria, that is, the classification criteria of the optimal advertisement classification table may be classified including information of the user computer 10 such as age and gender, and some additional or selected criteria may be set according to the request of the medium. .

For example, the target-benner type based on gender, for example, is A, B, C, D, E for men, and F, G, H, I, J for ground statistics up to about 20 times. In the case of women's ground, when the user's computer 10 sees the grounds A, B, C, D, E, G, H and then requests the ground K, there are four male grounds (A, B, C, E). Since there are two women's grounds (G, H), the user's computer 10 judges that the male tendency is strong, and sets the target banner, that is, the optimal advertisement pool as the advertisement banners related to men, Shows.

Thereafter, in step S63, it is determined whether a banner is present in the optimal advertisement pool (benner pool), and in the case of absence, the default banner is selected in step S64, and a new tag is generated in step S69. In the step S66, one is extracted, and the number of impressions of the selected benner is checked in step S66. When the number of exposures is greater than the set limit exposure number, the process returns to step S63 to determine whether another burner is present and to repeat. When the number of exposures of the selected burner is smaller than the set limit exposure number in step S66, the exposure log is stored in step S67, the banner table is updated in step S68, and a new tag is generated in step S69. Thereafter, the cookie value is updated in step S70, and the page is displayed together with the corresponding banner advertisement in step S50.

In the above, the advertisement output equalization steps are described together, but the advertisement optimization method according to the user of the present invention may be performed regardless of the advertisement output equalization steps.

Also, the advertisement optimization method according to the user of the present invention includes an advertisement distribution processing system including a plurality of advertisement web servers 60 and an ad cupid server 70 on a network in each company unit in FIGS. 6 and 7. It can be applied to, and furthermore, it can be applied to the advertisement distribution and integrated processing system comprising a plurality of advertisement distribution processing system and one integrated management server (80).

In FIG. 6 and FIG. 7, the advertisement web server 60 includes an advertisement database 61 storing advertisement information and advertisement data of an advertisement file, and is conventionally processed by the middleware 40 and the main server 50. Through the transmission of the advertisement file through the direct processing, the advertisement file is transmitted and displayed on the user computer 10 via a web browser. That is, when the user computer 10 accesses a specific website, the website corresponds to the specific website from the advertisement database 61 in which the advertisement information and the advertisement file are stored, at least by the user computer 10 and the specific website identification information. The advertisement file is transmitted to the user computer 10 for display. In addition, the advertisement web server 60 receives instructions, advertisement information and advertisement data of the advertisement file from the ad cupid server 70, executes the corresponding instructions, and stores new advertisement data in the advertisement database 61 as necessary. Or change or delete existing advertisement data.

The integrated management server 80 controls at least two or more ad cupid servers 70 to prevent mutual collision by using at least two or more ad cupid servers 70 as clients, and the one or more ad cupid servers 70. ) At least two advertisement information data of the at least two advertisement database 71 to be stored, changed, or deleted when the advertisement information and the advertisement data of the advertisement file are newly inputted, changed, or deleted. It is configured to store, change, and delete the same in the advertisement database 81 and to store, change, and delete the same in the corresponding advertisement database 71 through another ad cupid server 70.

According to the advertisement distribution and integrated processing system configured as described above, when the user computer 10 accesses the website to visit the homepage in step S1 in FIG. (60). In response to the request of the banner, the advertisement web server 60 analyzes the information such as the identification information of the user computer 10 and the identification information of the web site in step S12, and selects from the advertisement information database of the advertisement database 61. By independently determining whether to output a banner (advertisement file) and transmitting it to the user computer 10, it is displayed together with the corresponding homepage through a web browser.

In this way, the advertisement optimization method according to the user of the present invention described above is performed immediately before the advertisement (banner) is output. The steps related to FIG. 4 are performed by the advertising web server 60 unlike in FIGS. 1 and 2, so that the above-described steps can be performed more quickly and in a simpler configuration than in FIGS. 1 and 2, and the user Advertisements selected from the optimal advertisement pool according to the computer 10 may be output, and furthermore, when the output equalization steps are performed together, each advertisement (banner) may be output within the limits of the limited number of exposures. Will be.

In addition, each of the advertisement web server 60, the buffer generation function as needed dynamically when reading and storing the advertisement file, and the buffer management function that can cope with the management of the least frequently used files in the buffer or when the buffer is full In order to improve the overall performance of the system, a log storage thread function is executed at the moment through the log database 62 when a certain amount of data is accumulated by executing an auxiliary program (log storage thread) that operates independently from the main program. It may be configured to have.

In addition, the ad cupid server 70 controls the plurality of advertisement web servers 60 to prevent mutual collision by using the plurality of advertisement web servers 60 as clients, and furthermore, advertisement information and advertisement file advertisements. When the data is newly entered, changed, input or deleted, the advertisement web server 60 is stored, changed, and deleted in the advertisement database 71 in step S11 of FIG. 6 and transmitted to the plurality of advertisement web servers 60. ) To communicate with. To this end, the ad cupid server 70 may be configured to immediately notify all clients, that is, the advertisement web server 60, if there is a change in any advertisement database 71, or may be configured to notify the user at a predetermined time unit. have.

In addition, in step S15, communication is performed between the integrated management server 80 and the plurality of ad cupid servers 70 via a connection engine, which will be described later, and at least two ad cupid servers 70 serve as clients. To control the at least two ad Cupid server 70 to prevent. In addition, at least one of the at least two advertisement databases 71 to be stored, changed or deleted when newly inputting, changing, or deleting the advertisement information and the advertisement data of the advertisement file in the ad cupid server 70 is inputted or deleted. Store the advertisement information data in the advertisement database 81 of the integrated management server 80 in the same manner, and store, change, and delete the same in the corresponding advertisement database 71 through another ad cupid server 70. Command

The concrete connection engines of the plurality of advertisement web servers 60, one ad cupid server 70, and the plurality of ad cupid servers 70 and the integrated management server 80, although not shown, The operation may be performed by storing the command in the advertisement web server 60 through an operation step, analyzing the command to process the command immediately or at a processing time, and then removing and returning the processed command. .

The command structure for controlling each of the ad web server 60 and the ad cupid server 70 from the ad cupid server 70 and the integrated management server 80 is, for example, separated into four four bytes in sequence and the command length, Data including the priority, type, source computer IP, and necessary numeric information according to the command, followed by 256 bytes of character information required for the command, and subtracting 304 bytes from the length of the command. The command type may include a logo file, an advertiser data, a change of media history data, a request for transmission of statistical values, a request for usage statistics of a campaign, and a recovery of a client.

As described above, the advertisement optimization method according to the user on the computer network of the present invention can be applied to any system, and accordingly the output of the advertisement can be quickly outputted according to the information of the user computer 10 and the tendency of visit. In addition, when there are a plurality of optimal advertisements, they may be output evenly, and in extreme cases, it is possible to prevent the output of only one boring advertisement.

In addition, the click information of the output advertisement may be reflected in the modification of the optimal advertisement classification table by fetching the corresponding information from the cookie value or the homepage of the advertisement. Accordingly, by limiting the number of times the advertisements are not clicked, the user computer 10 which does not click more than a predetermined number of times is changed and outputted to other advertisement classifications, thereby providing the necessary advertisement information to the user computer 10 so as to provide the advertisement information. The effect can be maximized.

According to the configuration and operation of the advertisement optimization method according to the user on the computer network according to the embodiment of the present invention described above, by analyzing the information and the visiting tendency of the user computer 10, the advertisement is changed according to the taste of each user. It can be output, such as can maximize the effect of the advertisement.

Claims (2)

In an advertisement processing system on a network for transmitting and displaying advertisements to a user computer 10 when the user computer 10 accesses a specific website through the Internet network 20 and a web browser: Classifying the advertisement files based on the information and the visitation tendency of the user computer 10 and database them into an optimal advertisement classification table; Analyzing information and recent tendency of visit of the connected user computer 10; Selecting an optimal advertisement pool including a banner ID, an image file name, etc. with reference to the optimal advertisement classification table based on the information in the analysis step; And, And outputting any one of the optimum advertisements according to a user on a computer network. The method of claim 1, wherein the analyzing step comprises: fetching and analyzing cookie values of the user computer (10); A step in which the click information of the optimum advertisement in the user computer 10 is statistically reflected in the optimal advertisement classification table; The optimal advertisement classification table is prepared by classifying gender, age, etc., and classifying a homepage into sports, economy, education, art, etc., and classifying advertisements accordingly. Checking the number of impressions of the selected advertisement so that the advertisements classified in the optimal ad classification table are output evenly, and selecting other advertisements so that they are not output when the number of impressions is greater than the set limit impressions in the checking step. And a step of outputting when the number of exposures of the selected burner is smaller than the set number of limited exposures in the checking step.