KR20090000648A - Method and system for classifying business types of advertiser - Google Patents

Abstract

A method for classifying business types of advertisers and a system thereof are provided to execute a method of determining representative business types of the advertisers easily and simply, and to manage the advertisers according to the representative types systematically, thereby promoting keyword sales behaviors of the advertisers more efficiently. Information about one or more keywords sold to advertisers is received(S301). The sold keywords are classified by category(S302). Representative business types of the advertisers are selected based on the classified results(S303). A management program for the advertisers is generated based on the representative business types of the advertisers.

Description

Advertiser business classification method and system {METHOD AND SYSTEM FOR CLASSIFYING BUSINESS TYPES OF ADVERTISER}

1 is a block diagram illustrating a method of providing an advertisement service for a keyword to a plurality of terminals by an advertisement transmission server selling a keyword to a specific advertiser in the related art.

2 is a block diagram showing a schematic view of an advertiser's industry classification system in the present invention.

3 is a flowchart illustrating a method of selecting a representative business of an advertiser in consideration of sales by a sold keyword according to an embodiment of the present invention.

4 is an exemplary diagram for selecting a URL representative industry in an embodiment of the present invention.

5 is an exemplary diagram for selecting an advertiser's representative business type in an embodiment of the present invention.

FIG. 6 is a flowchart illustrating a method of selecting a representative business of an advertiser in consideration of the number of sold keywords according to another embodiment of the present invention.

7 is an exemplary diagram for selecting a URL representative industry in another embodiment of the present invention.

8 is an exemplary diagram for selecting an advertiser representative industry in another embodiment of the present invention.

FIG. 9 is a flowchart illustrating a method of selecting a representative type of business of an advertiser in consideration of both sales by a sold keyword and the number of keywords sold at the same time according to another embodiment of the present invention.

10 is an exemplary diagram for selecting a URL representative industry in another embodiment of the present invention.

11 is an exemplary view for selecting an advertiser representative industry in another embodiment of the present invention.

12 is a block diagram showing a hardware configuration of a system for providing a service according to the present invention.

13 is a block diagram showing the configuration of the representative industry type determination unit included in the system for providing a service according to the present invention.

14 is a block diagram showing a software configuration of a system for providing a service according to the present invention.

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

201: Advertiser Industry Segmentation System

1210: control unit

1220: category database

1230: keyword classification

1240: Determination of representative industry

1250: manager generation unit

1310: keyword sales calculation unit

1320: keyword count calculation unit

1330: index calculation unit

1340: judgment

The present invention relates to a method for classifying an advertiser's industry or a URL industry and a system for performing the same. More particularly, the present invention sells at least one keyword selected by an advertiser, classifies the sold keyword by category, The present invention relates to a method of selecting a representative business of an advertiser based on a result of obtaining sales, a number of keywords, and an index value considering the same, and a system for performing the method.

As the Internet is becoming more common and the number of Internet users is increasing, various advertisement methods using the Internet for Internet users are emerging. Among the most common and first applied advertising methods of the conventional advertising method using the Internet are banner advertisement or pop-up advertisement.

The banner is a graphic image including advertisement data displayed at a predetermined position of a web page on which an advertisement is to be placed. Such a banner advertisement is called a banner advertisement, and a method of displaying a graphic image using an animated GIF file or the like is generally used according to a predetermined standard. The administrator of such a web page may count the number of times the banner is exposed to users or the number of times the banner graphic is downloaded to the user's terminal for a predetermined period of time, thereby providing the advertiser with the effect of the banner advertisement.

The popup refers to a web page in the form of a small window provided to the user separately from the web page when the user accesses a predetermined web page. The administrator of such a web page may display a pop-up automatically when a user accesses a web page, or display a pop-up when a user selects a predetermined position of the web page with a mouse, or when a predetermined time has elapsed after accessing the web page. You can set your pop-ups to be generated in a variety of ways, including automatically pop-ups. Pop-up advertisements are advertisement methods that provide advertisement content to users by popping up these pop-ups.

Also, in recent years, keyword search advertisement methods on the Internet have appeared, and advertisers using keyword search advertisements are increasing.

Keyword ads display your ads only to users who are looking for relevant information, rather than an unspecified number, by placing a banner ad associated with the keyword in a window where keyword search results appear, or by ranking the site above the site information that appears in the search results. Target marketing is so effective that its clickthrough rate is 10 times higher than banner ads, and its cost is low, making it popular not only with large businesses but also with small businesses that have been passive in online marketing.

1 is a diagram illustrating a method of providing an advertisement service for a keyword to a plurality of terminals by an advertisement transmission server selling a keyword to a specific advertiser in the related art.

The advertisement transmission server 101 receives a predetermined advertising cost from the advertiser 102 when the advertiser 102 requests an advertisement for at least one specific keyword, and the keyword advertisement for the specific keyword on the plurality of terminals 103. Provide service. Such keyword advertising service has been embodied in various forms according to the payment aspect of the advertising cost.

Considering an example of an advertisement cost payment mode, an exposure position on a search screen of the terminal 103 on which the advertisement information of the advertiser 102 is to be displayed is selected in advance, and a predetermined sales amount is assumed for each selected exposure position. 102 may be sold to. The selling method for each exposure position is a method of granting the right to expose the information to the advertiser 102 who paid the sale price first for a predetermined exposure position that does not display the advertisement information of the advertiser 102. As another example of the advertisement cost payment aspect, there may be a determination of advertisement cost and exposure of advertisement information of the advertiser 102 by Cost Per Click (CPC) method. That is, the CPC method calculates keyword advertising costs by measuring the number of connection connections between the terminal 103 and the advertiser 102 as the terminal 103 making a search request clicks on the advertisement information of the specific advertiser 102. , To provide the terminal 103 with a search result which makes the information of the advertiser 102 which presented the highest price CPC value the best and arranges the advertisement information of the advertiser 102 which presented the lower CPC value at the bottom. That's how it's done.

However, the method for providing a keyword advertisement service according to the related art is based on which keywords the particular advertiser 102 has purchased, which categories (or industries) those keywords belong to, and the keywords 102 belong to a plurality of categories. ) Is a disadvantage that the systematic and precise analysis of the advertiser 102, such as what is the representative type of business is not possible, accordingly, it is difficult to systematically manage the development of education programs for the advertiser 102, advertiser 102 ) 'S keyword buying behavior can not be promoted more appropriately.

In order to solve the problems of the prior art, the present invention proposes a new technology related to the classification of the advertiser industry and a system for performing the same to select the representative industry by systematically managing the advertiser based on the classification of the industry of the advertiser. do.

An object of the present invention is to classify which category a plurality of keywords sold to an advertiser belongs to and perform a predetermined operation for each category of keywords belonging to each category, thereby easily and simply determining the representative business of the advertiser.

Another object of the present invention is to further promote the keyword purchasing behavior of the advertiser by systematically managing the advertiser according to the representative industry, once the advertiser's representative industry is determined.

Another object of the present invention is to build a systematic system that performs the overall process from the advertiser industry classification, the advertiser's representative industry determination, the systematic management of the advertiser.

In order to achieve the above object and to solve the above-mentioned problems of the prior art, the advertiser industry classification method according to an embodiment of the present invention, receiving information on at least one keyword sold to the advertiser, the sale Classifying the classified keywords into categories, and selecting a representative type of business of the advertiser based on the classification result.

According to one aspect of the present invention, the method may further include generating a management program for the advertiser based on the representative industry of the advertiser.

According to another aspect of the present invention, the classifying the sold keyword by category may be classifying the keyword according to a predetermined category classification system.

According to another aspect of the present invention, the step of selecting the representative industry of the advertiser based on the classification result may be a step of selecting a particular category having the largest sum of the sales of the keyword as the representative industry.

According to another embodiment of the present invention, the advertiser industry classification system, a keyword classification unit for classifying at least one keyword sold to the advertiser by category, and a representative for selecting the representative industry of the advertiser based on the classification result of the keyword Includes industry decision section.

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

2 is a block diagram showing a schematic view of an advertiser's industry classification system in the present invention.

The advertiser industry type classification system 201 receives a keyword database including information on at least one keyword that the advertisement transmission server 202 sold to the advertiser 203. The ad sending server 202 transmits an advertisement for the keyword sold to the advertiser 203 to the terminal 204. When the user of the terminal 204 is exposed to the keyword advertisement and clicks on the corresponding advertisement, the advertiser 203 You will be able to access the site and purchase the items you want. Meanwhile, the advertiser industry classification system 201 classifies the keywords included in the received keyword database by category, performs a predetermined operation for each category, selects a representative business type of the advertiser 203, and selects the advertiser 203 according to the selected representative business type. Will be managed.

The advertiser type of business classification system 201 may select a representative type of business of the advertiser 203 by performing a predetermined operation for each category for the keywords classified into each category. For example, a specific category that recorded the highest sales by obtaining the sum of sales by keywords belonging to each category for each category may be selected as a representative industry, or by obtaining the number of keywords belonging to each category for each category and recording the most number. Certain categories may be selected for industry. However, the present invention is not limited thereto, and after calculating the sum of sales by the keywords belonging to each category for each category and the number of keywords belonging to each category for each category, the sales by each category for each category is calculated from the total sales. The ratio of sales to each category is calculated, and the number of keywords in each category is calculated from the total number of keywords in each category. You may.

The advertiser type of business classification system 201 can systematically manage the advertiser 203 according to the selected representative type of business. For example, based on the representative industry of the advertiser 203, the keyword bidding information may be transmitted for the keyword group that may be of interest to the advertiser 203, or newly received among the keywords belonging to the representative industry of the advertiser 203. It is also possible to recommend keywords that are more likely, and more broadly, education programs are provided to the advertiser 203 based on the representative industry of the advertiser 203, so that the advertiser 203's royalties for the advertiser's industry classification system 201 ( loyalty) to further promote keyword sales for the advertiser 203 in the future.

Meanwhile, although the advertiser business classification system 201 may determine the representative business type of the advertiser 203, the representative business type may be determined for at least one URL owned by the advertiser 203. In detail, when the advertiser 203 has a specific URL and there are at least one or more keywords purchased in relation to the specific URL, the representative industry for the specific URL may be determined by analyzing such keywords. The process of determining the representative business for the URL and other matters are very similar to those of the representative business for the advertiser, so that the description of the present invention is not lengthened (but sufficient in FIGS. 4, 7, and 10). To help you understand, show examples of how to select a representative industry for URLs).

Hereinafter, a method of selecting a representative business of an advertiser (or URL) in the advertiser business classification system will be described in more detail with reference to FIGS. 3 to 11.

3 is a flowchart illustrating a method of selecting a representative business of an advertiser in consideration of sales by keywords according to an embodiment of the present invention.

In step S301, the advertiser business classification system 201 is provided with a keyword database including information of keywords sold to the advertiser 203 from the advertisement transmission server 202. In this case, the keyword database may include information about which keyword of the plurality of advertisers 203 has purchased which keyword and information on a purchase price of the corresponding keyword.

In step S302, the advertiser industry classification system 201 classifies the keywords included in the keyword database by category. In this case, the advertiser industry classification system 201 may include a category database. The category database may include a lookup table in which a predetermined category is assigned to all keywords of all advertisers sold by the advertisement transmission server 202. table). In this case, the advertiser industry classification system 201 receives a keyword database from the advertisement transmission server 202 and then assigns a corresponding category to each keyword included in the keyword database by referring to the lookup table. As a result, the keyword database may be updated to include contents such as an advertiser name, a keyword name, a sale price of a keyword, a category of a keyword, and the like. If some of the keywords included in the keyword database are new keywords and the corresponding category information is not included in the lookup table, the lookup table may be updated by selecting a category for the new keyword.

In step S303, the advertiser industry classification system 201 obtains the sum of sales by keywords belonging to each category for each category, and selects a specific category having the highest sales as the representative industry.

However, there may be a problem in which a specific category with the highest sales becomes two or more. In such a case, a method for selecting a representative industry may be considered. For example, a category having the largest number of keywords included in the specific category may be selected as the representative industry. As another example, a method of selecting a specific category having a higher sales amount within a predetermined period as a representative industry may be considered.

In operation S304, the advertiser type of business classification system 201 may generate various management programs for the advertiser based on the representative type of business of the advertiser selected by the above method.

An advertiser's representative business selection method based on the sales by keyword sales will be described in more detail with reference to FIGS. 4 and 5.

4 is an exemplary diagram for selecting a URL representative industry in an embodiment of the present invention.

According to FIG. 4, the URLs owned by a particular advertiser are www.nickestyle.com and www.movierang.net , and the keywords sold to a specific advertiser in relation to www.nickestyle.com are 'Nike' and 'Goggles', and www.movierang. The keywords sold to the particular advertisers in relation to the .net are 'original instinct' and 'mib2'. First, since the sales of each of the keywords such as 'Nike' and 'goggles' account for 70% and 30% of the total sales from sales of all keywords related to www.nickestyle.com , www. The representative industry of the URL nickestyle.com can be defined as a category that includes 'Nike', a keyword with a high sales ratio, that is, 'clothing fashion accessories'. Because, like, 'Basic Instinct' and 'mib2' turnover ratio of turnover from the sale of each keyword in the entire revenues from the sale of all the keywords associated with each www.movierang.net 2%, such as, 98%, www representatives of industry URL of .movierang.net can be defined as a category, namely 'entertainment' to which it belongs, such as 'mib2' the high turnover rate keywords.

In other words, the specific advertiser of FIG. 4 has URLs for www.nickestyle.com and www.movierang.net , and the representative businesses of the URLs are clothing fashion goods and entertainment, respectively.

5 is an exemplary diagram for selecting an advertiser's representative business type in an embodiment of the present invention.

According to Fig. 5 URL for a particular advertiser is owned and www.nickestyle.com www.style12.com, is associated with a keyword www.nickestyle.com sold to specific advertisers or the like 'Nike' and 'Goggles' www.style12 The keyword sold to the specific advertiser in relation to .com is '501 Levi'. Keywords such as 'Nike' and '501 Levi' belong to the category of 'clothing fashion accessories', and keywords such as 'goggles' belong to the category of 'leisure sports'.

Here, each URL resulting from the sale of keywords such as 'Nike', 'Goggles', etc., and '501 Levi', all URLs belonging to the particular advertiser (ie, www.nickestyle.com and www.style12.com ). As the percentage of total sales from all sales related to the related keywords is 40%, 20%, and 40% respectively, sales of keywords (ie, 'Nike' and '501 Levi', etc.) belonging to the category of 'clothing fashion accessories' The sales ratio is 60%, and the sales ratio is 40% due to the sale of keywords (eg, 'goggles') in the 'Leisure Sports' category. Therefore, the representative industry of the particular advertiser may be determined as a category having a high sales rate, that is, 'clothing fashion accessories'.

6 is a flowchart illustrating a method of selecting a representative business of an advertiser in consideration of the number of keywords included in each category according to another embodiment of the present invention.

In step S601, the advertiser business classification system 201 is provided with a keyword database including information on keywords sold to the advertiser 203 from the advertisement transmission server 202. In this case, the keyword database may include information about which of the plurality of advertisers 203 have purchased which keyword.

In step S602, the advertiser industry classification system 201 classifies the keywords included in the keyword database by category. In this case, the advertiser industry classification system 201 may include a category database, which is a form of a lookup table in which a predetermined category is assigned to all keywords of all advertisers sold in the meantime by the advertisement transmission server 202. It may be implemented as. This lookup table may be newly updated as described with reference to FIG. 3. The advertiser industry classification system 201 receives a keyword database from the advertisement transmission server 202 and then assigns a category to each keyword included in the keyword database by referring to the lookup table. As a result, the keyword database may be updated to include an advertiser name, a keyword name, a corresponding category of the keyword, and the like.

In step S603, the advertiser industry classification system 201 obtains the number of keywords belonging to each category for each category, and selects a specific category including the largest number as the representative industry.

However, there may be a problem when the number of specific categories with the largest number is two or more. In this case, a method for selecting a representative industry may be considered. For example, a representative business may be selected as a category that has the largest sum of sales by keywords included in the specific category. In this case, however, the selling price information of each keyword should be included in the keyword database received from the advertisement transmitting server 202. As another example, a method of selecting a specific category in which more keywords have been sold in a predetermined period in recent years may be considered.

In operation S604, the advertiser type of business classification system 201 may generate various management programs for the advertiser based on the representative type of business of the advertiser selected by the above method.

An advertiser's representative business selection method based on the number of keywords will be described in more detail with reference to FIGS. 7 and 8.

7 is an exemplary diagram for selecting a URL representative industry in another embodiment of the present invention.

According to FIG. 7, URLs owned by a particular advertiser are www.nickestyle.com and www.movierang.net , and keywords sold to a specific advertiser in relation to www.nickestyle.com are 'clothing fashion miscellaneous goods' category such as 'Nike'. Keywords belonging to the "Leisure Sports" category, such as "Goggles" and keywords sold to specific advertisers related to www.movierang.net are keywords belonging to the "Adult" category, such as "Instinct", and "mib2" It is a keyword belonging to the category of "entertainment". First, from the total number of keywords sold in relation to www.nickestyle.com , the number of keywords belonging to the 'clothing fashion miscellaneous goods' category such as 'Nike' and the number of keywords belonging to the 'leisure sports' category such as 'goggles' Since the number of occupies is 70% and 30%, respectively, the representative industry of the URL www.nickestyle.com may be determined as a category to which 'Nike', etc., in which the number of keywords is high, namely 'clothing fashion accessories'. Similarly, the total number of keywords sold in relation to www.movierang.net accounts for the number of keywords belonging to the 'adult' category such as 'original instinct' and the number of keywords belonging to the 'entertainment' category such as 'mib2'. Since the number ratio is 2% and 98%, respectively, the representative business of the URL www.movierang.net may be determined as a category, that is, 'entertainment', which belongs to 'mib2' and the like.

In other words, the specific advertiser of FIG. 7 has URLs for www.nickestyle.com and www.movierang.net , and the representative industries of the URLs are clothing fashion goods and entertainment, respectively.

8 is an exemplary diagram for selecting an advertiser representative industry in another embodiment of the present invention.

According to FIG. 8, URLs owned by a specific advertiser are www.nickestyle.com and www.style12.com , and keywords sold to a specific advertiser in relation to www.nickestyle.com are 'clothing fashion miscellaneous goods' category such as 'Nike'. It includes 40 keywords belonging to and 40 keywords belonging to 'Leisure Sports' category such as 'Goggles', and the keywords sold to advertisers related to www.style12.com are 'clothing fashion accessories' such as '501 Levi' 20 keywords belonging to the category are included. Therefore, when looking at the entire URL, the number of keywords belonging to the category of 'clothing fashion accessories' is 60, and the number of keywords belonging to the category of 'leisure sports' is 40.

Therefore, the ratio of the number of keywords belonging to the 'Clothing Fashion Accessories' category and the number of keywords belonging to the 'Leisure Sports' category out of the total number of keywords sold in relation to a plurality of URLs of a specific advertiser Since these are 60% and 40%, respectively, the representative industries of a particular advertiser may be determined as 'clothing fashion miscellaneous goods' having a high number ratio.

9 is a flowchart illustrating a method of selecting a representative business of an advertiser in consideration of sales by a sold keyword and the number of sold keywords according to another embodiment of the present invention.

In step S901, the advertiser business classification system 201 is provided with a keyword database including information of keywords sold to the advertiser 203 from the advertisement transmission server 202. In this case, the keyword database may include information about which keyword of the plurality of advertisers 203 has purchased which keyword and information on the purchase price of the keyword.

In step S902, the advertiser industry classification system 201 classifies the keywords included in the keyword database by category. In this case, the advertiser industry classification system 201 may include a category database, which is a form of a lookup table in which a predetermined category is assigned to all keywords of all advertisers sold in the meantime by the advertisement transmission server 202. It may be implemented as. This has been described with reference to FIGS. 3 and 6, and thus a detailed description thereof will be omitted.

The advertiser type of business classification system 201 receives a keyword database from the advertisement transmission server 202 and assigns a corresponding category to each keyword included in the keyword database by referring to the lookup table. As a result, the keyword database may be updated to include the advertiser name, the keyword name, the selling price of the keyword, the category of the keyword, and the like.

In step S903, the advertiser industry classification system 201 obtains the sum of sales by keywords belonging to each category for each category, calculates the number of keywords belonging to each category for each category, and then generates sales for each category for each category. The ratio of sales to the total sales is calculated, and for each category, the ratio of the number of keywords in each category to the total number of keywords is obtained. To select.

At this point, there should be a discussion that a particular advertiser belongs to the URLs A and B, the URL A includes a keyword belonging to category m and a keyword belonging to category n, and the URL called B contains a keyword belonging to category m. Suppose it is related, considering only the percentage of sales (or percentage of sales) of the keywords in category m, whether A and B are considered as a whole, or the ratios in A and B are considered separately The same result is obtained, but in the case of the index value (sales ratio * number ratio), it is a product of two ratios. The result of the sum of the products of the ratios of Ess is taken separately (ie, p1 * q1 + p2 * q2 is not equal to (p1 + p2) * (q1 + q2)). As described above, when at least two URLs among a plurality of URLs belonging to a specific advertiser include keywords of the same category, the above problem may occur. The index value may have its own meaning regardless of how the two values are obtained. . For example, in the case of obtaining the index value in the form of 'q1 * q1 + p2 * q2', it is a result of obtaining the representative business of the advertiser while respecting the independence of each URL to some extent, and using '(p1 + p2) * (q1 + q2) 'in the case of obtaining the index value, the product is calculated by considering the entire URL of the advertiser rather than the independence of each URL, which results in obtaining the representative industry by the generalized index value.

However, there may be a problem in which a specific category having the highest index value becomes two or more. In this case, a method for selecting a representative industry may be considered. For example, a method of selecting a category that represents a higher index value within a predetermined period as a representative industry may be considered. As another example, if one of the two concepts of the above-described index, the index value is the same, there is also a method for determining the representative industry by comparing the index value calculated by the other concept.

In operation S904, the advertiser industry classification system 201 may generate various management programs for the advertiser based on the representative industry of the advertiser selected by the above method.

An advertiser's representative business selection method based on the index value will be described in more detail with reference to FIGS. 10 and 11.

10 is an exemplary diagram for selecting a URL representative industry in another embodiment of the present invention.

According to FIG. 10, a URL owned by a specific advertiser is www.nickestyle.com . In this regard, the keywords sold to a specific advertiser include seven keywords such as 'Nike' and 'Leisure Sports' belonging to the 'Clothing Fashion Accessories' category. Since three keywords, such as 'goggles' belong to the category, the percentage of keywords in the 'clothing fashion accessories' category and the 'leisure sports' category corresponds to 70% and 30%, respectively. In addition, the sales ratio of seven keywords in the 'clothing fashion accessories' category is 40% of the total, and the sales ratio of sales of three keywords in the 'Leisure Sports' category is 60% of the total. Corresponding. Therefore, considering the index value that is the product of the number ratio and the sales ratio, the 'clothing fashion miscellaneous goods' category and the 'leisure sports' category have index values of 0.28 and 0.18, respectively. It becomes the representative industry of URL.

11 is an exemplary view for selecting an advertiser representative industry in another embodiment of the present invention.

According to FIG. 11, URLs owned by a specific advertiser are www.nickestyle.com and www.style12.com , and keywords sold to a specific advertiser related to www.nickestyle.com are 'Nike' belonging to the 'Clothing Fashion Accessories' category. keywords 40 dogs and is related to "goggles" keyword numbered 40 www.style12.com such as belonging to the "leisure sports" category keywords that sell to specific advertisers, such as keywords, such as belonging to the 'Clothing Fashion Accessories' category '501 Levis' Since there are 20 keywords, the number of keywords corresponds to 40%, 40%, and 20%, respectively. Also, in www.nickestyle.com turnover rate due to the sale of the 40 keywords, such as 'Nike' belonging to the 'Clothing Fashion Accessories' category and 40% "Leisure sports 'goggles' keyword 40 sale of belonging to a category Sales ratio is 50%, and the sales ratio of 20 keywords such as '501 Levi' in the 'Clothing Fashion Accessories' category is 10% on www.style12.com . Thus, in www.nickestyle.com keywords that belong to the 'Clothing Fashion Accessories' category, keyword, category "Leisure Sports" category www.nickestyle.com, an index of keywords that belong to the 'Clothing Fashion Accessories' category in www.style12.com The values are 0.16, 0.20 and 0.20, respectively. Based on these index values, the sum of the index values of the keywords belonging to the 'clothing fashion miscellaneous goods' category is 0.36, which is larger than that of 'leisure sports'. It can be said. However, considering the above-mentioned calculation, it is clear that the index calculation method of 'q1 * q1 + p2 * q2' emphasizes the independence of URL belonging to a specific advertiser. However, in the case of FIG. 11, even if a generalized index calculation method such as '(p1 + p2) * (q1 + q2)' is used, the representative industry will be derived with the same result.

As described above with reference to FIGS. 3 to 11, the advertiser 203 may be systematically managed based on the representative industry selected through the advertiser industry classification system 201.

Specifically, by providing various information about the keywords belonging to the representative industry of the advertiser 203 and providing a systematic training program for the advertiser 203, the advertiser 203's royalty for the advertiser's industry classification system 201 ) May also serve to promote keyword sales for the advertiser 203 in the future.

In addition, it is possible to build a system that performs the overall process from the classification of the advertiser's industry, the selection of the advertiser's representative industry, the systematic management of the advertiser.

12 is a block diagram showing the hardware configuration of the advertiser industry classification system in the present invention.

As shown in FIG. 12, the advertiser industry classification system 201 includes a controller 1210, a category database 1220, a keyword classification unit 1230, a representative industry determination unit 1240, a management program generation unit 1250, and the like. The communication unit 1260 may be included.

The control unit 1210 receives a keyword database including information on keywords sold by the advertisement transmission server 202 to the advertiser 203 through the communication unit 1260, and selects a keyword to select a representative business type of the advertiser 203. In performing various classifications, operations, etc. using the database, input / output is performed with the category database 1220, the keyword classification unit 1230, the representative industry type determination unit 1240, and the management program generation unit 1250. Control to receive.

The category database 1220 may be implemented in the form of a lookup table in which a predetermined category is assigned to all keywords of all advertisers sold by the advertisement transmission server 202. The lookup table of the category database 1220 may add new categories or remove unused categories according to industry trends. The controller 1210 receives the keyword database from the advertisement transmission server 202 and then the keyword classifier 1230 refers to the lookup table of the category database 1220 to assign a corresponding category to each keyword included in the keyword database. Instruct. That is, the keyword classification unit 1230 may be updated to include the advertiser name, the keyword name, the selling price of the keyword, the keyword category, and the like, and the keyword classification unit 1230 may store the updated database. have.

The representative business type determination unit 1240 selects a representative business type of the advertiser 203 by performing a predetermined operation for each category for keywords belonging to each category. For example, a specific category with the highest sales may be selected as a representative type of business by obtaining the sum of sales by the keywords belonging to each category for each category, or the number of keywords belonging to each category for each category to the most. A specific category that records the number may be selected as the representative industry. However, the present invention is not limited thereto, and representative industries may be selected by various methods.

The management program generation unit 1250 generates a program that can systematically manage the advertiser 203 according to the selected representative business type. For example, based on the representative industry of the advertiser 203, the keyword bidding information about the keyword group that may be of interest to the advertiser 203 may be transmitted, or newly received as a keyword belonging to the representative industry of the advertiser 203. It is also possible to recommend highly likely keywords, and to provide a training program for the advertiser 203 based on the representative industry of the advertiser 203 to increase the royalty of the advertiser 203 to the advertiser type classification system 201 in the future. It is also possible to function to promote keyword sales for the advertiser 203.

13 is a block diagram showing the configuration of the representative industry type determination unit 1240 included in the system for providing a service according to the present invention.

The representative business unit determiner 1240 may include a keyword sales calculator 1310, a keyword count calculator 1320, an index calculator 1330, and a determiner 1340.

The keyword sales calculation unit 1310 obtains the sum of sales by keywords belonging to each category for each category, and the determination unit 1340 receives the information about this from the keyword sales calculation unit 1310 and records the highest sales. Specific categories can be selected as representative industries.

In addition, the keyword count calculation unit 1320 obtains the number of keywords belonging to each category for each category, and the determination unit 1340 receives the information about this from the keyword count calculation unit 1320 and records the specific number of the largest category. Select as a representative industry.

In addition, the index calculation unit 1330 calculates the sum of sales by the keywords belonging to each category for each category, and calculates the number of keywords belonging to each category for each category, and then the sales of each category for each category is calculated from the total sales. It calculates the sales ratio to occupy and calculates the ratio of the number of keywords in each category to the total number of keywords for each category, and outputs the product of the sales ratio and the number ratio, and the determination unit 1340 calculates the information about the index calculation unit ( The specific category received from the 1330 with the highest index value may be selected as the representative industry.

As such, the determination unit 1340 compares and calculates output values of the keyword sales calculation unit 1310, the keyword number calculation unit 1320, and the index calculation unit 1330 to determine what is the representative type of business of the advertiser 203. To judge the function.

14 is a block diagram showing a software configuration of a system for providing a service according to the present invention.

The advertiser industry classification system 201 includes a category database 1410, a communication driver 1420, an operating system 1430, and application programs 1440, 1450, and 1460 for respective components of the service providing apparatus.

The category database 1410 is required for the operating system 1430 to perform keyword classification, and the communication driver 1420 is a program including a routine required for the operating system 1430 to operate the communication unit.

The application programs 1440, 1450, and 1460 may include a keyword classification program 1440, a representative industry type determination program 1450, and a management program 1460. Here, the keyword classification program 1440 includes a service routine necessary for the advertiser industry classification system 201 to classify keywords based on the category database 1410, and the representative industry determination program 1450 includes the advertiser industry classification system 201. ) Includes a service routine required to select a representative business type of the advertiser 203, and the management program 1460 includes a service routine required to systematically manage the advertiser 203 based on the representative business type of the advertiser 203. .

The programs may be implemented in independent forms, but may be implemented in combination with other programs. In addition, the programs may be implemented by dividing each program into smaller units.

By using the advertiser industry classification system 201 as described above, it is possible to systematically manage the advertiser 203 according to the selected representative industry, and to increase the royalty of the advertiser 203 to the advertiser industry classification system 201. In the future, it is also possible to function to promote keyword sales for the advertiser 203.

Embodiments according to the present invention can be implemented in the form of program instructions that can be executed by various computer means can be recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the media may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

In the present invention as described above has been described by specific embodiments such as specific components and the like embodiments and drawings, but this is only provided to help a more general understanding of the present invention, the present invention is limited to the above embodiments In other words, various modifications and variations are possible to those skilled in the art to which the present invention pertains.

Therefore, the spirit of the present invention should not be limited to the described embodiments, and all the things that are equivalent to or equivalent to the claims as well as the following claims will belong to the scope of the present invention. .

According to the present invention, a method of determining an advertiser's representative type of business can be performed easily and conveniently by classifying which categories a plurality of keywords sold to an advertiser belong to and performing a predetermined operation for each category of keywords belonging to each category. Can be.

According to the present invention, if the representative business type of the advertiser is determined, by systematically managing the advertiser according to the representative business type, it is possible to more efficiently promote the keyword purchasing behavior of the advertiser.

According to the present invention, it is possible to build a systematic system that performs the overall process from the advertiser's industry classification, the advertiser's representative industry determination, the systematic management of the advertiser.

Claims (21)

In the advertiser business classification method, Receiving information about at least one keyword sold to an advertiser; Classifying the sold keywords by categories; And Selecting a representative type of business of the advertiser based on the classification result Advertiser business classification method comprising a. The method of claim 1, Generating a management program for the advertiser based on the representative business type of the advertiser; The advertiser's industry classification method further comprising a. The method of claim 1, Categorizing the sold keyword by category, The advertiser's industry classification method, characterized in that for classifying the keyword according to a predetermined category classification system. The method of claim 1, The step of selecting the representative industry of the advertiser based on the classification result, The advertiser's industry type classification method, characterized in that for selecting the particular category with the largest sum of the sales of the keyword as the representative industry. The method of claim 4, wherein If the number of the specific category is 2 or more, advertiser category classification method characterized in that for selecting the particular category with the largest number of keywords as the representative industry. The method of claim 4, wherein If the number of the specific category is 2 or more, advertiser category classification method characterized in that for selecting a particular category having a higher sum of sales within a predetermined period of time as the representative industry. The method of claim 1, The step of selecting the representative industry of the advertiser based on the classification result, The advertiser's type of business classification method characterized in that the specific category with the most number of keywords is selected as the representative industry. The method of claim 7, wherein If the number of the specific category is 2 or more, the advertiser's industry type classification method, characterized in that for selecting the particular category with the largest sum of sales of the keyword as the representative industry. The method of claim 7, wherein If the number of the specific category is 2 or more, advertiser category classification method characterized in that for selecting the particular category that sold more keywords within the predetermined period of time as the representative industry. The method of claim 1, The step of selecting the representative industry of the advertiser based on the classification result, The advertiser's industry type classification method, characterized in that for selecting a particular category as the representative industry based on the sum of the sales of the keyword and the number of the keyword. The method of claim 10, The step of selecting the representative industry of the advertiser based on the classification result, Determining the category with the largest index value multiplied by the ratio of the sum of the sales due to the keywords of each category to the sum of the sales of all the keywords and the ratio of the number of the keywords of each category to the total number of the keywords as the specific category. Characterized by the advertiser industry classification method. The method of claim 11, And when the number of the specific categories is 2 or more, selecting a particular category having the higher index value within the predetermined period as the representative business category. A medium having a computer-readable program recorded thereon for executing the method of claim 1. In the advertiser industry classification system, A keyword classification unit classifying at least one keyword sold to an advertiser by category; And Representative sector determination unit for selecting a representative sector of the advertiser based on the classification result of the keyword Advertiser industry classification system comprising a. The method of claim 14, Management program generation unit for generating a management program for the advertiser based on the representative industry of the advertiser Advertiser industry classification system, characterized in that it further comprises. The method of claim 14, The advertiser industry classification system further includes a category database. The keyword classification unit, The advertiser's industry classification system, characterized in that to classify the keyword according to the category classification table included in the category database. The method of claim 14, The representative industry type determination unit, A keyword sales calculator that calculates a sum of sales of the keywords included in the category for each category; A keyword count calculator configured to count the number of the keywords included in the category for each category; An index calculator for calculating an index value obtained by multiplying a ratio of a sum of sales due to keywords of each category to a sum of total sales and a ratio of the number of keywords of each category to the total number of keywords; And Determination unit for determining the representative industry based on the output value of any one of the keyword sales calculation unit, the keyword number calculation unit, the index calculation unit Advertiser industry classification system comprising a. The method of claim 17, And the determination unit selects a specific category having the largest output value from the specific calculation unit as the representative industry. The method of claim 18, When the determination unit determines the representative industry based on the output value of the keyword sales calculation unit, when the number of the specific category is 2 or more, the specific category having the largest number of keywords is selected as the representative industry. Advertiser industry classification system. The method of claim 18, When the determination unit determines the representative industry based on the output value of the keyword count calculation unit, when the number of the specific categories becomes two or more, selecting the particular category having the largest sum of sales of the keyword as the representative industry. Advertiser industry classification system characterized by. The method of claim 18, When the determination unit determines the representative industry based on the output value of the index calculation unit, when the number of the specific categories becomes two or more, the specific category having the higher index value within the latest predetermined period is selected as the representative industry. Advertiser industry classification system, characterized in that.

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