KR100964090B1 - Method and system for recommending advertisement keyword by analyzing log - Google Patents

Abstract

The present invention stores and maintains a variety of log information, receiving a UAL input from a new advertiser, analyzing the log information associated with the input UAL and the keyword induced by the UAL according to the log information analysis results It provides an advertising keyword recommendation method through a log analysis comprising the step of recommending three as an advertising keyword.

Logs, analytics, keywords, referrals, new advertisers

Description

Recommend method and system for ad keyword through log analysis {METHOD AND SYSTEM FOR RECOMMENDING ADVERTISEMENT KEYWORD BY ANALYZING LOG}

The present invention relates to a method and system for recommending an advertisement keyword through log analysis. More specifically, the keyword set derived from the UAL of the new advertiser is analyzed by analyzing log information associated with the received UAL from the new advertiser. To a method and system that is recommended.

As the use of the Internet has become commonplace and the technology has developed, various websites have appeared exponentially, and various websites have been used as a means for promoting companies and products. In order to access a web site desired by an internet user, the user may know the address of the web site that he / she wants or register in advance. However, it is not only difficult for Internet users to know all the addresses of a myriad of web sites, but also frequently visits unregistered web sites. Therefore, an Internet user accesses an Internet search site that provides various search services, searches for a desired web site by inputting a keyword to search for. Such Internet search sites are used by more Internet users as various web sites increase exponentially. Therefore, the Internet search site exposes advertisements of advertisers who want to promote their websites to visiting Internet users and obtains advertising revenue. In the early stages of Internet advertising, banner advertisements linking advertisers' web sites were typical. However, various Internet advertisement models are being developed according to the evolution of Internet technology.

In the Internet advertising model, an advertising method using a search keyword is used by an advertiser to purchase an advertising keyword associated with a website or an item that the advertiser wants to advertise, and when the purchased advertising keyword is searched, an advertisement of a website or an item is linked to a search result. do. For example, if an advertiser wants to advertise the item 'aaa', and the item 'aaa' is a personal mobile device, the advertiser buys the keyword 'personal mobile device'. When the keyword 'personal mobile device' is searched, The advertisement of the item 'aaa' is provided to the user who inputs the advertisement keyword as the search keyword in association with the search result of the advertisement keyword 'personal portable terminal'.

In the conventional method of advertising through search keywords, if an advertiser is not familiar with the relation between the search keyword and the advertising keyword, most of the advertisers buy the specific keyword as an ad keyword, and thus the advertising cost is increased due to excessive bidding or competition among advertisers for a few popular keywords. There is an increasing problem.

The conventional advertising method through the search keyword is limited to a keyword associated with a website or an article that the advertiser subjectively advertises or some keywords proposed by an advertisement providing site. For example, if an advertiser wants to advertise a website named 'bbb', the conventional method of advertising through a search keyword is to select a website name of 'bbb' as an advertisement keyword, and to advertise only to users who know the website name of 'bbb'. Since it is possible to advertise to users who do not know the site 'bbb' rather than to enjoy the advertising effect, there is a problem that can not provide a proper advertising service due to the selection of the wrong advertising keywords.

In addition, when a new advertiser registers an advertisement on an advertisement providing site for the first time, there is a problem that it is difficult to figure out which advertisement keyword should be purchased to maximize the advertisement effect. In addition, there is a problem that a new advertiser takes a lot of time as well as a separate cost when a questionnaire for predicting the effect of an advertising keyword suitable for the advertisement to be advertised.

Therefore, there is an urgent need for a method for recommending an advertising keyword whose advertisement effect is predicted to a new advertiser.

The present invention provides a method and system for receiving a UAL from a new advertiser and analyzing log information associated with the entered UAL to recommend a keyword set induced by the new advertiser as an advertisement keyword.

Ad keyword recommendation method according to an embodiment of the present invention comprises the steps of storing and maintaining a variety of log information, receiving a URL from a new advertiser, analyzing the log information associated with the input UAL and the log information Recommending the keyword set induced by the UAL according to the analysis result as an advertisement keyword.

According to an embodiment of the present invention, an advertisement keyword recommendation system includes a UAL input unit for receiving a UAL input from a new advertiser, a database for storing and maintaining log files associated with various UALs, and a log for analyzing the log files associated with the input UALs. And an advertising keyword recommendation unit for recommending the keyword set induced by the UAL according to the log analysis result as an advertisement keyword.

According to the present invention, a new advertiser is verified by providing a method and system for receiving a UAL from a new advertiser and analyzing log information associated with the entered UAL to recommend a keyword set derived by the new advertiser as an advertisement keyword. Selected advertising keywords.

Hereinafter, an ad keyword recommendation system and method through log analysis will be described in detail with reference to the accompanying drawings.

1 is a view showing an interworking relationship between an advertisement keyword recommendation system and a new advertiser terminal according to the present invention.

Referring to FIG. 1, the advertisement keyword recommendation system 100 receives a UAL of a new advertiser from new advertiser terminals 120-1 through 120-n linked through the network 110. That is, the advertisement keyword recommendation system 100 receives the UAL of the web site to be advertised from the new advertiser performing the advertisement registration for the first time instead of the existing advertiser. The new advertiser is a first advertiser who registers an advertisement through the advertisement keyword recommendation system 100 and inputs a URL for an advertisement target site to be advertised.

The Uniform Resource Locator (URL) is a standard for indicating the location of various types of information on the Internet. In general, a web browser is a tool that simultaneously supports various types of services existing on the Internet and simultaneously supports services such as HTTP, FTP, Usenet News, e-mail, gopher, and telnet. do. In order to obtain the necessary information from a number of servers that provide such various services, a system for indicating their location is required. The URL is to specify the location of files in each server providing a service on the web, and includes the type of service to be connected, the location of the server (domain name), and the location of the file. The generic syntax consists of a computer name / directory name / filename with protocol: // information. For example, the UL may be expressed as "http://www.ebook.com/Main/default.aspx".

The network 120 is various communication networks for transmitting and receiving data transmitted and received between the new advertiser terminals 120-1 to 120-n and the advertisement keyword recommendation system 100.

When the new advertiser terminals 120-1 to 120-n receive the UAL of the target site to be advertised from the new advertiser while being connected to the advertisement keyword recommendation system 100 through the network 110, the new advertiser terminals 120-1 to 120-n receive the input. The UAL is transmitted to the advertisement keyword recommendation system 100 through the network 110. For example, when the URL of the target site to be advertised by the new advertiser is "http://www.ebook.com/bestseller", the new advertiser terminals 120-1 to 120-n are configured to advertise the advertisement from the new advertiser. The URL of the target site “http://www.ebook.com/bestseller” may be input, and the input URL may be transmitted to the advertisement keyword recommendation system 100 through the network 110.

The advertisement keyword recommendation system 100 analyzes the log associated with the input UAL. The log or log file is a file in which information about the activity history or activity history of the computer system is recorded, and used as basic data for analyzing the activity history of users in managing the network system. do. Visitors who visit various web sites access a remote web server or web site through a client such as a browser and request a UAL for the web site to be visited, and the web server transmits the web page to the client. The client displays the transmitted web site via the browser. The web server records the request contents in a file called a web log in the system whenever the visited visitor requests the UAL through the browser. The URL request may be interpreted as an action taken by the visitor visiting the web site, and the form in which the URL request information is recorded may be different for each system of the web server.

The advertisement keyword recommendation system 100 stores a keyword set inducing visitors to a web site corresponding to a variety of URLs and a number of visitors to the web site corresponding to the variety of URLs using the keyword set in a log file, and by the new advertiser. You can analyze the log file associated with the entered UAL.

The advertisement keyword recommendation system 100 analyzes the log file associated with the UAL and displays various traffic information such as the number of visitors to the web site, the number of page views, the number of errors, the most viewed pages, and the most downloaded files. I can figure it out. In addition, the advertisement keyword recommendation system 100 may analyze a customer's business-related behaviors such as a content stream, a click stream path to purchase a product, a product, an e-mail marketing or an event, and an effect on an external advertisement.

The advertisement keyword recommendation system 100 needs to analyze the UAL in order to analyze the web log, and the UAL analysis consists of registering the UALs to be analyzed and finding and counting the registered UAls in the web log file. That is, the advertisement keyword recommendation system 100 registers the UAL as the analysis target and counts the number of times the registered UAL appears in the web log file to determine the visitor's interest in the analysis target UAL.

That is, the advertisement keyword recommendation system 100 analyzes a log including a keyword set leading the visitor to the web site corresponding to the input UAL and a number of visitors to the web site corresponding to the UAL using the keyword set.

For example, if the input URL is "http://www.ebook.com/bestseller", the ad keyword recommendation system 100 is a website corresponding to "http://www.ebook.com/bestseller". The set of keywords including search keywords such as 'e-books, best sellers', etc. that encourages the user to visit can be analyzed by the log. The search keywords are queries entered by the user who accesses a search service site to search for information desired by the user.

For example, if the keyword set that attracted visitors to the web site of the URL "http://www.ebook.com/bestseller" is "ebook", the ad keyword recommendation system 100 is said to be "ebook" The number of visitors to the web site corresponding to "http://www.ebook.com/bestseller" derived by the keyword set may be analyzed by the log.

For example, when the keyword set that attracts visitors to the web site of "http://www.ebook.com/bestseller" is "best seller," the keyword keyword recommendation system 100 may set the keyword set as "best seller." The number of visitors to the website corresponding to "http://www.ebook.com/bestseller" derived by can be analyzed in the log.

In addition, the advertisement keyword recommendation system 100 may analyze a search word, a related search word related to the search word, or a similar search word similar to the search word provided by a web site corresponding to the UAL as a search result by the user as a log associated with the UAL. have. For example, if the URL is a web site of "http://www.ebook.com/", the ad keyword recommendation system 100 is a web site of the URL "http://www.ebook.com/". 'Ebook', a search term provided as a search result according to a search request by the user, 'ebookdown, booktopia, txt', a related search word associated with the search word, or 'ebook, ebook, ebook,' a similar search word similar to the search word. Can be analyzed in the log associated with the web site of the URL url "http://www.ebook.com/".

The advertisement keyword recommendation system 100 recommends the keyword set induced by the UAL according to the log analysis result as the advertisement keyword. That is, the advertisement keyword recommendation system 100 recommends, as the advertisement keyword, a keyword set that induces the visitor to the web site corresponding to the URL in accordance with the log analysis result to the new advertiser.

For example, when the keyword set that attracts visitors to the web site of "http://www.ebook.com/bestseller" according to the log analysis result is "e-book, best seller," the keyword recommendation system 100 ) May recommend 'e-book, best seller' to the new advertiser as the advertisement keyword.

In addition, the advertisement keyword recommendation system 100 selects a keyword set whose number of visitors to the web site corresponding to the URL is greater than or equal to a predetermined threshold value among the set of keywords inducing the visitor to the web site corresponding to the URL in accordance with the log analysis result. An advertising keyword may be recommended to the new advertiser.

For example, according to the log analysis result, the keyword set that attracts visitors to the web site of "http://www.ebook.com/bestseller" is "e-book, best seller," and the keyword set of "e-book." If the number of visitors by '1,500', the number of visitors by the keyword set 'best seller' is' 3,000 ', and the threshold value is' 2,000,' the ad keyword recommendation system 100 is a keyword set ' 'Best seller' may be recommended to the new advertiser as the advertisement keyword.

As such, the advertisement keyword recommendation system 100 according to the present invention receives the UAL of the web site to be advertised from the new advertiser and analyzes the log associated with the input UAL to advertise the keyword set induced by the UAL of the new advertiser. By recommending the keyword to the new advertiser, the new advertiser may increase the advertising effect by using the recommended advertising keyword.

2 is a diagram illustrating a configuration of an advertisement keyword recommendation system according to an embodiment of the present invention.

Referring to FIG. 2, the advertisement keyword recommendation system 100 includes a UL input unit 210, a log analyzer 220, a database 230, and an advertisement keyword recommendation unit 240.

The UEL input unit 210 receives a UAL from a new advertiser. That is, the UEL input unit 210 receives the UAL of the web site to be advertised from the new advertiser who performs the advertisement registration for the first time instead of the existing advertiser.

The log analyzer 220 analyzes a log associated with the input UAL.

The database 230 stores and maintains log files associated with various UALs. That is, the database 230 stores in a log file associated with the UAl, a keyword set that leads visitors to web sites corresponding to the UALs and the number of visitors to the Web sites corresponding to the UALs by the keyword set.

3 is a diagram showing an example of a keyword and the number of visitors as a log file associated with UAL.

Referring to FIG. 3, the log file associated with the URL is stored in the database 230 by matching the URL, the keyword, and the number of visitors. The URL is information for indicating the location of the various information on the Internet, the keyword is a keyword that led visitors to the web site corresponding to the URL, the number of visitors is the web site corresponding to the URL by the keyword Information that counted visitors who visited

For example, the first URL URL1 may be address information of a first web site that a user may visit by a keyword set such as a first keyword Keyword11, a second keyword Keyword12, or a third keyword Keyword13. have. At this time, the number of visitors induced to the first web site corresponding to the first URL URL1 by the first keyword Ke11 is 1,000, and the first keyword URL1 is transmitted to the first URL URL1 by the second keyword Keyword12. The number of visitors directed to the corresponding first web site may be 1,500, and the number of visitors directed to the first web site corresponding to the first URL URL1 may be 2,000 by the third keyword Keyword13.

For example, the second URL2 may be address information of a second web site that the user may visit by a keyword set such as a first keyword Keyword21, a second keyword Keyword22, and the like. At this time, the number of visitors to the second web site corresponding to the second URL2 by the first keyword 21 is 3,000, and the second keyword URL2 is transmitted to the second URL by the second keyword 22. The number of visitors directed to the corresponding second web site may be 5,000.

The log analysis unit 220 analyzes a log file associated with the input UAL by referring to the database 230 and includes a keyword set and a keyword set that lead visitors to a web site corresponding to the UAL input by the new advertiser. As a result, the number of visitors to the web site corresponding to the URL can be determined.

For example, when the URL input from the new advertiser is the first URL (URL1), the log analyzer 220 refers to a database 230 and analyzes a log file associated with the first URL (URL1) to the new URL. A keyword set, such as a first keyword Keyword11, a second keyword Keyword12, a third keyword Keyword13, etc., which leads a visitor to the first web site corresponding to the first UAL input by the advertiser, may be identified. In addition, the log analyzer 220 may analyze the log file associated with the first URL URL1 by referring to the database 230 and may correspond to the first URL URL1 by the first keyword Ke11. The number of visitors to the web site is 1,000, the number of visitors to the first web site corresponding to the first URL (URL1) by the second keyword (Keyword12) is 1,500, and the third keyword (Keyword13) It can be seen that the number of visitors to the first web site corresponding to the first URL URL1 is 2,000.

For example, when the URL input from the new advertiser is the second URL (URL2), the log analyzer 220 refers to the database 230 and analyzes the log file associated with the second URL (URL2) to the new URL. A keyword set such as a first keyword (Keyword21), a second keyword (Keyword22), or the like, which leads a visitor to a second web site corresponding to the second UAL input by the advertiser may be identified.

In addition, the log analyzer 220 may analyze the log file associated with the second URL URL2 by referring to the database 230 and may correspond to the second URL URL2 by the first keyword Ke21. It can be seen that the number of visitors to the web site is 3,000, and that the number of visitors to the second web site corresponding to the second URL2 by the second keyword 22 is 5,000.

In addition, the database 230 is a keyword set that induces a visitor to a web site corresponding to the UAL to search terms, search terms associated with the URLs related to the URLs, related search terms associated with the search term, or similar search terms similar to the search terms. You can save it to the log file associated with UAL.

4 is a diagram illustrating an example of a search word, a related search word, or a similar search word as a keyword set associated with UAL.

Referring to FIG. 4, the log file associated with the URL is stored in the database 230 by matching the URL, the search word, the related search word, or the similar search word. The URL is information for indicating the location of various types of information on the Internet, and the search word is a keyword input by a visitor to a web site corresponding to the URL, and the related search word is a predetermined reference value that is related to the search word. The keyword is above, and the similar search term is a keyword having a similarity with the search term or more than a predetermined reference value.

For example, the first URL1 may be address information derived from a search keyword set such as a first search word word11, a second search word word12, a third search word word13, and the like. In this case, the first search word word11 matches a first related search word RW111, a second related search word RW112, or the first similar search word SW111, a second similar search word SW112, and the like.

For example, the second URL2 may be address information that is directed to a corresponding web site by a search result searched from a search keyword set such as a first search word word21 and a second search word word22. In this case, the second search word word22 matches a first related search word RW221, a second related search word RW222, or the first similar search word SW221, a second similar search word SW222, and the like.

The log analysis unit 220 analyzes the log file associated with the input UAL by referring to the database 230 and induces the visitor to the web site corresponding to the input UAL by searching the search word, the related search word or the similar search word. This can be identified by keyword set.

When a first URL (URL1) is input by the new advertiser, the log analyzer 220 refers to the database 230 and analyzes a log file associated with the first URL (URL1) to the first URL (URL1). ) Is a search word 'word11, word12, word13, ...' which provides a first web site corresponding to the search request by the user, and 'RW111, RW112, ...' which are related to the search word. Or similar keyword 'SW111, SW112, ...' similar to the search term.

When a second URL (URL2) is input by the new advertiser, the log analyzer 220 analyzes a log file associated with the second URL (URL2) with reference to the database 230 and the second URL (URL2). Search term 'word21, word22, ...' which provides a second web site corresponding to the user's search request according to the search request by the user, and 'RW211, RW212, ...' which are related search terms related to the search word or Similar keyword 'SW211, SW212, ...' similar to the search term can be identified.

The advertisement keyword recommendation unit 240 recommends the keyword set induced by the UAL according to the log analysis result as the advertisement keyword. That is, the advertisement keyword recommendation unit 240 recommends to the new advertiser a keyword set that induces the visitor to the web site corresponding to the URL according to the log analysis result as the advertisement keyword.

For example, when the first URL URL1 is input by the new advertiser, the advertisement keyword recommendation unit 240 is derived to the first URL URL1 based on a log analysis result associated with the first URL1 URL1. A keyword set may be recommended to the new advertiser as the advertisement keyword.

For example, when the second URL (URL2) is input by the new advertiser, the ad keyword recommendation unit 240 is derived to the second URL (URL2) according to the log analysis result associated with the second URL (URL2). A keyword set may be recommended to the new advertiser as the advertisement keyword.

In addition, the advertisement keyword recommendation unit 240 advertises the keyword set whose number of visitors to the web site corresponding to the UAL is greater than or equal to a predetermined threshold value among the set of keywords inducing the visitor to the web site corresponding to the UAL according to the log analysis result. Recommend to the new advertiser by keyword.

For example, when the first URL URL1 is input by the new advertiser and the reference value of the first visitor is 1,500, the advertisement keyword recommendation unit 240 may be configured according to the log analysis result associated with the first URL URL1. A visitor who visits the first web site corresponding to the first URL URL1 in the first keyword Keyword11, the second keyword Keyword12, the third keyword Keyword13, which is a keyword set derived from the first URL URL1, The second keyword Keyword12 or the third keyword Keyword13, which is 1,500 or more, which is the reference value of the first visitor, may be recommended to the new advertiser as the recommendation keyword.

For example, when a second URL is input by the new advertiser and the reference value of the second visitor is 3,500, the advertisement keyword recommendation unit 240 may be configured according to a log analysis result associated with the second URL. The visitor who visited the second web site corresponding to the second URL URL2 in the first keyword Keyword21, the second keyword Keyword22, which is a keyword set derived from the second URL2, is equal to or greater than the reference value of the second visitor. The second keyword Keyword22 may be recommended to the new advertiser as the recommended keyword.

In addition, the advertisement keyword recommendation unit 240 recommends the search word, the related search word or the similar search word based on a result of analyzing the log file associated with the UL to the new advertiser.

For example, when the first URL URL1 is input by the new advertiser, the advertisement keyword recommendation unit 240 analyzes the log file associated with the first URL URL1 and then the second URL URL1. Search terms (word11, word12, word13, ...), related search terms (RW111, RW112, ...) associated with the search terms, and similar search terms (SW111, SW112, ...) similar to the search terms. The keyword may be recommended to the new advertiser.

For example, when a second URL (URL2) is input by the new advertiser, the advertisement keyword recommendation unit 240 analyzes a log file associated with the second URL2 and the second URL (URL2). Advertise the search terms (word21, word22, word23, ...), related search terms (RW211, RW212, ...) associated with the search terms, and similar search terms (SW211, SW212, ...) similar to the search terms. The keyword may be recommended to the new advertiser.

5 is a diagram illustrating a flow of a method for recommending an advertisement keyword according to an embodiment of the present invention.

1 to 5, in step S500, the advertisement keyword recommendation system 100 stores and maintains various log information. That is, in step S500, the advertisement keyword recommendation system 100 includes a keyword set that leads a visitor to a web site corresponding to various UALs as shown in FIG. 3, and the keyword set to a web site corresponding to the various UALs. Store and maintain the number of visited visitors in a log file.

In addition, in step S500, the advertisement keyword recommendation system may correspond to the URLs in which search terms, related search terms associated with the search terms, or similar search terms similar to the search terms are provided by the web site corresponding to various UALs, as shown in FIG. 4. A set of keywords that lead visitors to a web site can be stored in a log file associated with the URL.

In operation S510, the advertisement keyword recommendation system 100 receives a UAL from a new advertiser. That is, in step S510, the advertisement keyword recommendation system 100 receives the UAL of the web site to be advertised from the new advertiser performing the advertisement registration for the first time instead of the existing advertiser. For example, in step S510, the advertisement keyword recommendation system 100 may receive a UAL of the web site that the first new advertiser wants to advertise from the new advertiser terminal 120-1 through the network 110.

In operation S520, the advertisement keyword recommendation system 100 analyzes log information associated with the input UAL. That is, in step S520, the keyword keyword recommendation system 100 analyzes the log file associated with the input URL and leads the visitor to a web site corresponding to the URL, and the keyword set corresponds to the URL. Find out how many visitors visited your website.

In operation S520, the keyword keyword recommendation system 100 analyzes a log file associated with the input URL, and sets a keyword set including the search term, the related search term, or the similar search term to the input UAL. Can be extracted with

In operation S530, the advertisement keyword recommendation system 100 recommends the keyword set induced by the UAL according to the log information analysis result as an advertisement keyword. That is, in step S530, the advertisement keyword recommendation system 100 uses the keyword set that induces the visitor to the web site corresponding to the URL in accordance with a result of analyzing the log information associated with the URL. Recommended to.

For example, when the first UAL is input from the first new advertiser through the new advertiser terminal 120-1, the ad keyword recommendation system 100 analyzes log information associated with the first UAL in step S530. According to a result, a keyword set that induces the visitor to the first web site corresponding to the first URL may be recommended as the advertisement keyword to the first new advertiser through the new advertiser terminal 120-1.

Also, in step S530, the advertisement keyword recommendation system 100 may select a web site corresponding to the URL from among the three keyword sets that lead the visitor to the web site corresponding to the URL, based on a result of analyzing the log file associated with the URL. A keyword having a number of visitors or more that is determined may be recommended to the new advertiser as the advertisement keyword.

Also, in step S530, the advertisement keyword recommendation system 100 uses the new keyword, the related search term, or the similar search term as the keyword as the advertisement keyword according to a result of analyzing the log file associated with the UAL. Recommend to advertisers.

As such, the method of recommending an advertisement keyword according to the present invention receives the UAL from the new advertiser and analyzes log information related to the input UAL to recommend the keyword set induced by the UAL of the new advertiser as an advertisement keyword, thereby advertising the new advertiser. The keywords can be selected easily.

Meanwhile, the method for recommending an advertisement keyword through log analysis according to the present invention may be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer-readable recording 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.

As described above, the present invention has been described by way of limited embodiments and drawings, but the present invention is not limited to the above embodiments, and those skilled in the art to which the present invention pertains various modifications and variations from such descriptions. This is possible.

Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined not only by the claims below but also by the equivalents of the claims.

1 is a view showing an interworking relationship between an advertisement keyword recommendation system and a new advertiser terminal according to the present invention.

2 is a diagram illustrating a configuration of an advertisement keyword recommendation system according to an embodiment of the present invention.

3 is a diagram showing an example of a keyword and the number of visitors as a log file associated with UAL.

4 is a diagram illustrating an example of a search word, a related search word, or a similar search word as a keyword set associated with UAL.

5 is a diagram illustrating a flow of a method for recommending an advertisement keyword according to an embodiment of the present invention.

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

100: Ad keyword referral system

110: network

120-1 to 120-n: New advertiser terminal

210: UEL input unit

220: log analysis unit

230: database

240: keyword ad recommendation

Claims (15)

Storing and maintaining various log information in a database; Receiving UAL from the advertiser; Analyzing log information corresponding to the input UAL from various log information stored in the database; And Recommending at least one keyword included in a keyword set that attracts a visitor to a web site corresponding to the input URL based on the result of analyzing the log information as an advertisement keyword Including, The step of recommending as the advertising keyword, An advertisement keyword recommendation method for recommending at least one keyword included in the keyword set as the advertisement keyword in consideration of the number of visitors to the page of the web site corresponding to the URL by the keyword included in the keyword set. The method of claim 1, Receiving the UAL input from the advertiser, Ad keyword recommendation method that receives the URL of the web site to be advertised from the first advertiser registration. The method of claim 1, Storing and maintaining the various log information in a database, The keyword set recommendation method of storing the keyword set that attracted visitors to the web site corresponding to the various UEL and the number of visitors to the web site corresponding to the various UAL with the keyword set as a log file in the database. The method of claim 1, Storing and maintaining the various log information in a database, Saves the search terms provided by the web sites corresponding to the various URLs as search results, the related search terms whose relevance to the search terms is greater than or equal to the reference value, or similar search terms similar to the search terms, in the log files corresponding to the various UALs, Analyzing log information corresponding to the input UAL, An advertisement for analyzing a log file corresponding to the input UAL from the database and extracting a keyword set including the search term, the related search term, or the similar search term as a keyword set that leads the visitor to the web site with the input UAL How to suggest keywords. The method of claim 1, The step of recommending a keyword set corresponding to the UAL as an advertisement keyword based on the result of analyzing the log information, The keyword keyword recommendation method for recommending to the advertiser a keyword set that leads the visitor to a web site corresponding to the URL, based on a result of analyzing the associated log information that is associated with the URL. The method of claim 3, Recommend the keyword set as an advertising keyword, According to the analysis result of the log file associated with the URL, the advertiser has a keyword having a predetermined number or more of the number of visitors who visited the web site corresponding to the UAL among the set of keywords that led the visitor to the web site corresponding to the UAL. How to recommend ad keywords to people. The method of claim 4, wherein Recommend the keyword set as an advertising keyword, Recommends an ad keyword that recommends the search term, the related search term or the similar search term as the advertisement keyword to the advertiser according to a result of analyzing the log file corresponding to the UEL. Way. A computer-readable recording medium in which a program for executing the method of any one of claims 1 to 7 is recorded. UAL input unit for receiving the UAL from the advertiser; A database for storing and maintaining log files corresponding to various UALs; A log analyzer for analyzing a log file corresponding to the input UAL from the database; And An ad keyword recommending unit for recommending at least one keyword included in a keyword set that attracts a visitor to a web site corresponding to the input UAL as a result of analyzing the log file Including, The keyword recommendation unit, An advertisement keyword recommendation system for recommending at least one keyword included in the keyword set as the advertisement keyword in consideration of the number of visitors introduced to the page of the web site corresponding to the URL by the keyword included in the keyword set. 10. The method of claim 9, The UEL input unit, Advertising keyword recommendation system that receives the UAL of the website to be advertised from the advertiser that performs the first advertisement registration. 10. The method of claim 9, The database, The keyword keyword recommendation system for storing the number of visitors to the Web site corresponding to the UAL by the keyword set and the keyword set that attracted visitors to the Web site corresponding to various UAL in a log file corresponding to the UAL. 10. The method of claim 9, The database, The keyword set is a keyword set that attracts visitors to a web site corresponding to the UAL, including a search word provided as a result of a web site corresponding to various UALs, a related search word having a relevance above the reference value, or a similar search word similar to the search word. Save it to the associated log file, The log analysis unit, And a keyword set that analyzes a log file corresponding to the input UAL from the database and identifies the search term, the related search term, or the similar search term as a keyword set that induces a visitor to a web site corresponding to the input UAL. 10. The method of claim 9, The ad keyword recommendation unit, An advertisement keyword recommendation system for recommending, as the advertisement keyword, a set of keywords leading to the visitor to the web site corresponding to the URL, based on a result of analyzing the log file corresponding to the URL. The method of claim 11, The ad keyword recommendation unit, According to the result of analyzing the log file corresponding to the URL, the keyword set having the number of visitors who visited the web site corresponding to the URL in the keyword set that led the visitor to the web site corresponding to the URL, is equal to or greater than the predetermined threshold. Ad keyword recommendation system for recommending to the advertiser. The method of claim 12, The ad keyword recommendation unit, The advertisement keyword recommendation system for recommending the search term, related search term, or similar search term based on a result of analyzing the log file corresponding to the UAL to the advertiser as the advertisement keyword.

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