KR20020025142A - A Keyword Recommend System and Method for Keyword Advertise Service - Google Patents

Abstract

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a keyword recommendation method for a "keyword advertisement" service, which is a kind of Internet advertisement, and a computer-readable recording medium recording the program.

To this end, the present invention provides a method for recommending the keyword.

(a) accessing a search engine by an internet user to collect a search query used for the search; (b) extracting a search keyword by analyzing the search query collected through step (a); (c) accumulating the number of searches per period for the search keywords extracted through the step (b) and storing them in a database; (d) requesting a keyword recommendation service by inputting a keyword for keyword recommendation and related sentences using the keyword database generated through step (c); (e) analyzing the requested keyword and related sentences through step (d) and selecting the recommended keyword and selecting the recommended keyword according to the popularity among the selected keywords; (f) querying whether the keyword is selected for each search engine with respect to the keyword selected through the step (e), and providing an advertisement price inquiry and a recommendation keyword comparison analysis service for each search engine.

Description

A Keyword Recommend System and Method for Keyword Advertise Service}

The present invention relates to a keyword recommendation method for a "keyword advertisement" or "search term advertisement" service, which is a web-based Internet search engine advertisement, and a computer-readable recording medium recording the program.

Search engine keyword ads are a way to show 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. It is popular with small business owners who have been passive in online marketing because it has a high target marketing effect and a low cost, so it has 10 times higher click-through rate than general banner advertisement.

However, the selection of keywords is very prudent for companies that want to run such search engine keyword advertising.

In addition, when two or more keywords are recommended, there is a case where the popularity of each search engine differs for each keyword. This case is closely related to the propensity of users using search engines.

In this case, promotion companies or operators who promote search engine advertisements may select and use keywords based on existing experiences without accurate statistical data.

In addition, each search engine provides only 50 to 100 search terms for popular search terms, and only some search engines use their own keyword database to search for keyword usage and ad prices. Is insufficient to predict the selection of keywords and the effect of advertising on the selected keywords.

The present invention has been made to solve the above disadvantages and inconveniences, the present invention relates to a keyword recommendation method and system for keyword advertising services,

The first embodiment of the present invention for achieving the above object,

(a) accessing a search engine by an internet user to collect a search query used for the search; (b) extracting a search keyword by analyzing the search query collected through step (a); (c) counting the number of searches for the search keywords extracted through step (b), analyzing the popularity of the results, and storing the results in a database; Characterized in that it comprises a search word used by the Internet user provides a method for storing in a database.

A second embodiment of the present invention for achieving the above object,

In the step of providing a keyword recommendation service using a search term stored in a database,

(A) accessing a keyword recommendation service request form to request a keyword recommendation service; (B) requesting a recommendation keyword by inputting a keyword and a related sentence for applying for the keyword recommendation service after successfully performing (A); (C) selecting the recommended keyword by analyzing the keyword and related sentences requested in the step (B); (D) selecting a recommended keyword according to the popularity among the keywords selected in the step (C); (E) requesting a search engine to check whether the keyword recommended in step (D) is available; (F) searching for an advertisement price with respect to the recommended keyword after performing step (E); (G) providing a computer-readable recording medium having recorded thereon the method comprising the step of providing the applicant with a comparative analysis service for the recommended keyword with respect to the performance results up to (F). do.

1 is a block diagram of a system to which a keyword recommendation method for a keyword advertisement service according to an embodiment of the present invention is applied.

2 is a flowchart for each module for a keyword recommendation service according to an exemplary embodiment.

3 is a flowchart illustrating a query collection and query analysis method according to an embodiment of the present invention.

4 is a flowchart illustrating a keyword recommendation service application and a keyword recommendation service according to an embodiment of the present invention.

5 is a flowchart illustrating a search service for using a search engine for a recommended keyword according to an embodiment of the present invention.

6 is a table structure of the popularity and ranking database for keywords according to an embodiment of the present invention.

7 is a database table structure for storing keyword advertisement prices for each search engine according to an embodiment of the present invention.

8 is an example of a form for requesting a keyword recommendation service according to an embodiment of the present invention.

9 is an example showing an application result of the keyword recommendation service according to an embodiment of the present invention.

In order to achieve the above object, the keyword recommendation server according to the present invention includes a keyword database to be used for keyword recommendation; A keyword advertising price database for each search engine to be used for a price comparison service for each search engine; A communication program for collecting a search engine query used by a user and an analysis program for analyzing the collected search engine query; a computer program for providing a user interface for using a keyword recommendation service and a requested keyword recommendation service.

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

1 is a block diagram of a system to which a keyword recommendation method for a keyword advertisement service according to an embodiment of the present invention is applied.

As shown in FIG. 1, the keyword recommendation system according to an exemplary embodiment of the present invention provides an Internet user C101 that accesses a search engine and searches for information, and communicates for a user to access a keyword recommendation server through the Internet using a computer. A user C102 connected using a web browser as a program, a search query collection server S101 for collecting and analyzing a search query used by an Internet user, a keyword recommendation server S102 for providing a keyword recommendation service requested by the user, and a keyword search. A keyword search server (S103) for accessing a search engine having a function and searching for the use of a keyword and an advertisement price, a search engine for providing a keyword advertisement (S104), and storing the collected keyword for providing a keyword recommendation service. Keyword database (D101), advertising unit price database for managing the advertising price (D102) ).

Constructing a keyword database to provide a keyword recommendation service comprises the steps of collecting a search query 111 from a user searching using a search engine using an internet network and extracting a keyword for the collected search query. Storing (112).

The keyword recommendation service is activated when the keyword database is constructed to the extent that the keyword recommendation service is available.

In order to request a keyword recommendation service, a user accesses a keyword recommendation server using the Internet, accesses a keyword recommendation service application page, fills out a keyword recommendation service application form, and submits an application to the server (113).

The keyword recommendation server that receives the keyword recommendation service request from the user analyzes the application form sent by the user, generates a keyword recommendation list, and inquires keyword popularity by search engine from the keyword database for each keyword.

When the keyword popularity query is completed, the unit price of each search engine is searched (115). Then, the search engine that can search keyword usage and ad price can be searched on the keyword query server for keyword usage and advertisement price. Make a request 116.

After receiving a request for inquiry from the keyword recommendation server, the keyword inquiry server makes an inquiry 117 to each search engine for the keyword, and then transmits a result of using or not using the keyword and an advertisement price to the keyword recommendation server (116).

When the advertisement price inquiry about the keyword and the real time inquiry about the search engine are completed, a comparison analysis table is prepared for the recommended keyword and transmitted to the service user (118).

FIG. 2 is a flowchart for each method of collecting and analyzing a search engine query and a method of performing a keyword recommendation service according to an embodiment of the present invention. FIG. 2 is a search query collection module for collecting a search query used by a search engine user. (U201), a keyword extraction module (U202) for extracting keywords from the collected search query word, a keyword database (D201) for storing the extracted keywords, and a keyword for selecting keywords from keywords and sentences used by the user for the keyword recommendation service application. Suggested keyword selection module (U204), Suggested keyword popularity query module (U205) to search the keyword database for the selected keywords to find the popularity of the recommended keyword, Suggested keywords by selecting the recommended keywords to search the search engine Suggested keywords that are sent to users by filling out the comparison recommendation service form The service module is prepared by selecting a selection module (U206), using a keyword for a selected keyword, a search engine query module (U207) for searching an advertisement price in real time, and using a comparison analysis table for a keyword for using a keyword and advertising price. Keyword service result transmission module (U208) for transmitting to, and the advertising unit price database (D202) that stores and manages the keyword advertising unit price for each search engine,

In each module workflow, search query terms transmitted from various collection programs for collecting search queries used by search engine users are collected by the search engine collection module (211). The collected search query word is transmitted 212 to a keyword extraction module to extract a keyword, and the extracted keyword is stored 213 by analyzing the popularity of each period.

In order to apply for the keyword recommendation service, the user accesses a keyword recommendation server, fills out a keyword recommendation service application form, submits it to the keyword recommendation server (214), and transmits (215) the recommendation keyword selection module for analysis of the submitted form. . The recommendation keyword selection module selects a keyword to be used for the recommendation and transmits the keyword to the popularity inquiry module (216). The selected keywords are searched for a keyword database to investigate the popularity (217) and then transmitted to the recommended keyword selection module (218).

The keyword selection module selects a keyword by comparing and analyzing the popularity of each keyword by search engine and searches the advertising price (219). Then, the search engine query module requests a real-time search for the use of the keyword and the advertising price (220). ) The search engine inquiry module that receives the keyword usage request and the advertisement price inquiry request connects to the corresponding search engine and inquires 221. When the inquiry is completed, the result is transmitted to the keyword selection module. When the result of comparing and analyzing the results of keyword usage, keyword advertisement price, and expected expectation for the recommended keyword is generated and transmitted to the transmission module (222), the keyword recommendation service result transmission module transmits the result to the user (223). .

3 is a flowchart illustrating a method of analyzing a query and extracting keywords with respect to the collected search query according to an embodiment of the present invention.

The collection of the Internet access address may be performed in various ways such as collecting a list of Internet access history, analyzing log files recorded on a web server, or collecting Internet access addresses by a program installed on a computer of an Internet user. In the step of analyzing the collected list, check whether the collected address list is an address connected to a registered search engine (302), and if the search engine address is not the end of the analysis of the address list, and if the search engine address, The query word is separated (303).

In the query separation method, when a user searches for "favicon" by connecting to Yahoo, which is a search engine, the query is separated from an example of requesting a search service by a GET method.

※ Query Example

http://www.softwise.yahoo.com/bin/query?p=%c6%c4%ba%f1%c4%dc&hc=0&hs=0

Since most search methods use GET method, these access addresses can be easily obtained by using log files of search engines, installing them on user's computer, collecting them by hooking method, or collecting internet access history list. The collection method in the history list is described in detail in the previously filed application No. 10-2002-0009812.

The query part in the obtained URL address is separated by special characters such as "?".

In the example above, the part starting with "p =" in the "query? P =" part corresponds to the query, and the search term "favicon" is URL encoded, such as "% c6% c4% ba% f1% c4% dc". appear.

The encoded string "% c6% c4% ba% f1% c4% dc" may obtain the search word "favicon" used when searching through the decoding process.

The following "& hc = 0 & hs = 0" string is a special value used inside search engines.

As above, the search terms can be easily analyzed by analyzing the list of Internet access and the list of Internet access history collected by log files or hooking methods.

After extracting the keyword 304 for the separated query word by the above method, the existing popularity for the keyword is queried 305 and the new popularity is updated 306.

4 is a flowchart illustrating a keyword recommendation service application and a service method according to an embodiment of the present invention.

A user who wants to use the keyword recommendation service accesses the keyword recommendation service application page, fills out a keyword recommendation service application form, and transmits the form to the keyword recommendation server to apply for the keyword recommendation service (401).

When a keyword recommendation service request requested by the user is received (402), the keyword recommendation server confirms whether to include the keyword recommendation service using a sentence (403).

If a keyword recommendation service using a sentence is included, the input sentence is analyzed to extract a keyword included in the sentence (404).

A keyword index is searched for a keyword extracted by a keyword recommendation service using a keyword list and a sentence requested by the user to calculate a recommendation index (405), and then a recommended keyword is selected based on the calculated recommendation index (406). .

When a recommendation keyword is selected, the search engine searches for popularity of each search engine (407), and then inquires (408) a search engine capable of querying whether a keyword is used or not.

After inquiring the advertisement price for the recommended keyword (409), the comparison analysis result for each of the search engines for the recommended keyword is written (410) in an HTML or XML output form and transmitted to the service applicant (411).

5 is a flowchart illustrating a search service for using a search engine for a recommended keyword according to an embodiment of the present invention.

When a request for use status inquiry is received 501 for a keyword recommended as a service requesting a search engine that performs a search service for a keyword in real time, a searchable search engine list is extracted 502.

Inquiry about the use of the recommended keyword to the extracted search engine is requested (503). After analyzing the search result received from the search engine (504), the result of using the keyword is stored in the temporary database (505).

The steps 503 to 505 are repeated until there are no more search engines to search, and when the search is completed for all registered search engines, the search results are transmitted (506).

6 is a table structure of the popularity and ranking database for keywords according to an embodiment of the present invention.

7 is a database table structure for storing keyword advertisement prices for each search engine according to an embodiment of the present invention.

8 is an example of a form for requesting a keyword recommendation service according to an embodiment of the present invention.

9 is an example showing an application result of the keyword recommendation service according to an embodiment of the present invention.

According to the present invention, the keyword ad is displayed only to users who are looking for related information rather than an unspecified number by placing a banner advertisement related to the keyword in a window where keyword search results are displayed or ranking the site above the site information that is displayed as a search result. Accurate targeting is not only a high hit rate, but also a new profit model for portal companies.

Despite the fact that keyword advertising is activated, the reality is that it is selected by requesting a site administrator or a specific advertising company for the selection of keywords. In addition, the prediction of the advertisement effect on the selected keywords is not known in advance, and in most cases, it is necessary to select one of two or more keywords, so a service for comparing and analyzing the impression index of each keyword is urgently needed.

It is an object of the present invention to provide a keyword recommendation system and method that can alleviate such inconvenience and predict keyword recommendation and advertising effectiveness based on accurate statistical data.

Claims (3)

In the keyword recommendation method and system for keyword advertising, (a) accessing a search engine by an internet user to collect a search query used for the search; (b) extracting a search keyword by analyzing the search query collected through step (a); (c) counting the number of searches for the search keywords extracted through step (b), analyzing the popularity of the results, and storing the results in a database; (d) requesting a recommendation keyword by inputting a keyword for keyword recommendation and related sentences using the keyword database generated through step (c); (e) analyzing the requested keywords and related sentences through step (d) and selecting the recommended keywords and providing the recommended keywords according to the popularity of the selected keywords; Keyword suggestions that include In claim 1, (B) extracting a keyword by analyzing a search query used by the user (f) separating query terms based on specific strings, (g) separating search terms for the separated query string; (h) decoding the encoded query, Keyword extraction method comprising a. In claim 1, (E) performing a keyword recommendation service requested by the user (i) applying for a referral service using keywords, (j) applying for a recommendation service using sentences other than keywords, (k) checking the popularity of the selected keywords and recommending them; (l) querying search engine usage for the recommended keywords; (m) retrieving ad unit price per search engine for the suggested keyword, (n) calculating and providing a recommendation index for the recommended keyword based on a comparison analysis result for each search engine; Keyword recommendation service method comprising a.