KR20040049498A - A contents supply method using web and client by real time statistics analysis - Google Patents

Abstract

PURPOSE: A method for offering the real-time statistics analysis contents by using the web and a client is provided to offer the contents information fit to a propensity of a user by deciding a priority of the contents selected according to the real-time analysis of the user propensity. CONSTITUTION: The use information by a tag command is transmitted through a web page or the client. The received use information is transmitted to a use analysis server after collecting/analyzing the use information. The use information of each user and the use status information of all users are generated by analyzing the use information, and are transmitted to a contents information server. The contents information formed by matching the received information with the contents information is transmitted to a client push server(800). The contents push information decided by the contents information is transmitted to the web page or the client. If the user requests the actual contents, the actual contents are transmitted to the web page or the client.

Description

How to provide real-time statistical analysis contents using web and client {A CONTENTS SUPPLY METHOD USING WEB AND CLIENT BY REAL TIME STATISTICS ANALYSIS}

The present invention relates to a method for providing real-time content information based on CRM using a client program, and more specifically, to tag logical content utilization information for each user ID based on content classification and user classification using an online user's web and client. By collecting different types of user information through the information by the command to obtain complementary information, and by selecting the content by user by comparing the content classification information and the user classification information, utilization information rather than fixed user, content information According to the present invention relates to a CRM-based real-time content information providing method using a client program that can continuously modify the classification information.

Generally, the Internet is an open network based on the Transmission Control Protocol / Internet Protocol (TCP / IP) protocol. Anyone in the world is connected through a communication network to transmit mail, files, etc. (WWW) You can get services.

Recently, as the business through the Internet has been activated, internet advertising and internet marketing have been actively performed. In addition, with the explosive growth of Internet contents, the business of providing appropriately processed contents according to users is being actively performed.

This revitalization of the business through the Internet accelerates the competition in related industries, and thus, each Internet service provider is devoted to providing differentiated services. In particular, with the explosive growth of Internet content, whether the timely supply of content that meets the needs of users has emerged as a problem that may determine the success or failure of the Internet business.

In order to meet the above needs, each service provider encouraged more members to sign up by offering giveaways or electronic money, and provided uniform information through e-mail. However, this is a problem that can not analyze the propensity of various customers and provide only standardized content or advertisement.

Meanwhile, in view of the above needs, a CRM-based content providing method has been proposed. This is to receive the surfing information of the web user through the information by the encrypted tag command, etc. and to make the database to analyze the user's disposition, etc. to enable the target marketing. However, even by this, simply accumulate data based on the surfing information of the web user and analyze the user's disposition, so that it cannot actively cope with the change of the disposition of the customer, and there is a problem that the reanalysis of the disposition of the customer is not performed in real time.

The present invention has been made to solve the above problems, an object of the present invention is to collect the content utilization information for each user ID based on the content classification and user classification, different types of user information using the Web and the client To improve the accuracy of information by collecting and supplementing each other, and to analyze the user's dispositions and to select and prioritize the contents according to the real-time analysis based on the user's dispositions rather than using fixed classification information such as users and contents. It is to provide a method for providing suitable content information.

In addition, the user of the present invention is to provide a method that can modify the configuration of the content information analysis and use information analysis to provide content that meets the needs of the user as needed.

In order to achieve the above object, the present invention comprises the steps of transmitting information by a tag (tag) command having a usage information through a web page or a client; A statistical step of collecting and analyzing the received usage information and transmitting the collected usage information to the usage analysis server; A usage analysis step of analyzing the usage information to generate user-specific usage information and all user usage status information and transmitting the same to the content information server; A content information analysis step of transmitting the content information configured by comparing the information received from the use analysis step with the content information to the client push server; A content information pushing step of transmitting content push information determined based on the content information to a client or a web page; And a real content transmission step of transmitting real content when there is a user's request through the transmitted content push information, wherein the statistical step is to receive the user-specific usage information only for the logged in user. The use analysis step may include transmitting the user information for each user only to a logged in user to a user information server, and between the user analysis step and the content information analysis step. It is characterized in that it comprises a user information analysis step of analyzing the user information for each user by the user pattern and transmits to the content information server.

In order to achieve the above object, the present invention provides a method comprising: transmitting to a real-time content management server having usage information by a tag command through a web page or a client when a user wants to immediately push content; And a real-time content management step including the step of transmitting the push information and the logged-in user information to the client push server based on the received usage information. The dedicated content server may be configured to additionally include the step of periodically adding or deleting the presence or absence of actual content of the dedicated content server corresponding to the content information of the content information server.

In addition, in order to achieve the above object, the statistics server of the present invention is characterized in that it comprises a step of refining the primary information to the secondary information, the secondary information to the tertiary information, the tag command is web And inserted into a part or all of a page or inserted into a client, wherein the client inserts an event for transmitting a command of transmitting user usage information and content usage information. And optionally or all of a recording step, a generation step of a local information or ISP report, a page view analysis step, a residence time analysis step, a recording and maintaining step of a session, and a recording step of a packet log. Step is batch process call, but if necessary to analyze the stored DB content in a unit of time rather than real time It is characterized by.

In addition, the present invention is characterized in that the user information analysis step is configured to include the use pattern definition collection step, user type update and definition step, type definition transmission step or all, in order to achieve the above object, The content configuration in the content information analysis step comprises a configuration according to the web surfing material, the configuration according to the cluster analysis, the configuration according to the individual analysis, the configuration according to the specified page, or all, characterized in that the content The information pushing step may be configured to include all or all of the use information receiving step, the use information reception for each user, the use pattern definition receiving step for each user, and the content priority determining step.

1 is a block diagram showing the configuration of a system related to a content providing method according to an embodiment of the present invention.

Figure 2a is a block diagram showing the information processing step of the statistical server of the configuration of the system for a content providing method according to an embodiment of the present invention.

Figure 2b is a diagram showing the configuration of the statistics server of the configuration of the system for a content providing method according to an embodiment of the present invention.

Figure 3 is a block diagram showing the information processing step of the usage analysis server of the configuration of the system for a content providing method according to an embodiment of the present invention.

4 is a diagram illustrating an information analysis step in a user information server of a system related to a content providing method according to an embodiment of the present invention.

5 is a diagram illustrating a processing step in a content information server during configuration of a system related to a content providing method according to an exemplary embodiment of the present invention.

6 is a flowchart illustrating a process of installing a client by a user according to an embodiment of the present invention.

FIG. 7 is a flowchart illustrating data transmitted depending on whether a user is logged in when accessing a web server through a web browser or a client according to an embodiment of the present invention.

8 is a view showing a flue when the user does not log in the content providing method according to an embodiment of the present invention.

9 is a view illustrating a flue when a user logs in in the content providing method according to an embodiment of the present invention.

* Description of the symbols for the main parts of the drawings *

100: Web Page 200: Client

300: statistics server 400: utilization analysis server

500: user information server 600: content information server

700: dedicated content server 800: client push server

900: real-time content management server

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. First, it should be noted that in the drawings, the same components or parts denote the same reference numerals as much as possible. In describing the present invention, detailed descriptions of related well-known functions or configurations are omitted in order not to obscure the subject matter of the present invention.

Hereinafter, a method for providing real-time statistical analysis content using the web and the client of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram showing the overall system configuration of the present invention. The system includes a statistics server 300, usage analysis server 400, user information server 500, content information server 600, dedicated content server 700, client push server 800 and real-time content management server 900 It is configured to include, and the user is connected to the web page 100 through the web browser of the terminal, or connected to the system of the present invention by accessing the client 200.

In FIG. 1, an arrow indicates a data direction, a solid line indicates a flow of data of a user who is logged in or not logged in, and a dashed-dotted line indicates a data flow of a logged-in user.

As shown in FIG. 1, the user is linked to the system by the web page 100 or the client 200, and when the user accesses the web page, the user's web page through a tag command inserted in the web page. Usage information is transmitted to the statistical server to be described later (L1), and when the user accesses the client, the usage information of the content shown through the user's client through the tag command inserted into the client is transmitted to the statistical server (L2) described later (L2). )do. In this case, in the case of a user logged into the web page or the client, the user information is transmitted in addition to the usage information. The web page is a web page provided by any web site that wants to interoperate with the system of the present invention, and the client is downloaded and installed with the consent of the user accessing the web page. In addition, the usage information refers to information about web surfing performed by the user, and the user information refers to information necessary for the user's login, such as ID, name, address, and contact information.

As shown in FIG. 1, the statistics server 300 receives and collects usage information and usage information from the web page and the client, and transmits them to the usage analysis server 400 described later (L3).

The usage analysis server 400 transmits (L4) the user information server 500 to be described later based on the usage information and the usage information received from the statistics server to the user information server 500, and also the current status of use of all users The definition information and the user-specific usage information are transmitted to the content information server 600 to be described later (L6). User-specific usage information transmitted from the usage analysis server 400 to the user information server is transmitted only to the logged in user.

The user information server 500 analyzes user-specific usage information received from the usage analysis server 400 for each user pattern and transmits the same to the content information server 600 which will be described later. The user pattern definition information received from the user information server 500 and the content information configured by matching the usage status definition information and user-specific usage information of all users received from the usage analysis server 400 to be described below. The client push server 800 transmits (L7).

The client push server 800 transmits the push information configured based on the content information received from the content information server 600 to the client 200 (L8). In this case, when the user requests the content push information transmitted through the client, the dedicated content server 700 to be described later transmits the actual content through the client (L9). In some cases, the actual content may be transmitted (L10) and shown through the web page 100 instead of the client 200. In this case, the actual content refers to the actual content transmitted to the user at the request of the user among the content information transmitted to the web page or the client. For example, by clicking on a banner or the like of the content information displayed on the client, the user can access the actual content of the content information.

On the other hand, when the user accesses a web page that wants to immediately push the content, the user transmits the information using the corresponding content, for example, user information, page information, etc. to the real-time content management server 900 to be described later (L11) do. In addition, when the user accesses the content of the client 200 that needs immediate push, that is, all types of content shown through the client, information using the corresponding content, for example, user information, page information, and the like, is displayed. 900) (L12). The real-time content management server 900 defines the information to be pushed by the client push server 800 based on the information transmitted from the web page or the client (L11 and L12) and the client push server 800 together with the collected user information. (L13). On the other hand, between the client push server 800 and the dedicated content server 700 is periodically added and deleted between the information stored in the client push server and the actual content presence or absence between the dedicated content server (L14), the content Also between the information server 600 and the dedicated content server 700 is periodically added / deleted between the content information of the content information server and the presence or absence of the actual content (L15).

Figure 2a shows the information processing step of the statistics server 300 of the system. As shown, the statistics server 300 collects and processes user information and content usage information from the web page 100 and the client 200 and transmits the collected information to the usage analysis server 400. The user information and the content usage information are divided into primary information 310, secondary information 330, and tertiary information 350 as shown in the figure.

The statistical server 300 sequentially mines (refines) the primary information as the secondary information and the secondary information as the tertiary information, and analyzes the usage analysis server in the form of page-based statistical data and user-based statistical data. 400). In this case, the primary information to the tertiary information may be used to extract appropriate information as necessary in the practice of the present invention. On the other hand, in the above, the web page 100 means all web pages that are serviced by a web server, and can be instructed to send user information and page usage information to the statistics server 300 to some or all of the web pages. The tag command is inserted. In addition, the client 200 refers to an application that is operated after being downloaded by the user's consent, and some or all of the content delivered through the application includes user information and content usage information using the corresponding content in the statistics server 300. Tag commands or events are defined to be sent to), where event refers to planning content information that is sent uniformly to users who access the client regardless of the user's inclination.

Figure 2b shows the configuration of the statistics server. As shown, the statistics server 300 includes a statistics collection server 320, DB server 340 and analysis server 360. The statistics collection server 320 collects all the information used through the website and the client program. To do this, you need to set up a statistics server environment, which is accomplished by inserting script commands into the corresponding content or content pages of all web content, such as images, videos, music, and so on. It is also given a script command that can collect cookie information from the web server.

The DB server 340 stores data collected through the statistics collection server 320 in various forms. The data to be stored is, for example, page reference data, user reference data, and the like. In addition, in the practice of the present invention, the necessary data may be stored according to various criteria in some cases. The page reference data refers to Main.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / .... etc., for example. In addition, the user reference data is, for example, aDFwefds (encrypted user ID) / main.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor /. ... etc.

The analysis server 360 generates summary data for reporting such as page views / visits / visitors / stay time, etc., and records them in a DB, generates a country / region / ISP report through matching with an IP table, and generates a page. Analyze each pageview / stay time. In addition, customer orientation data is recorded, which analyzes users of the page based on pages or users, or analyzes which pages are used based on users. For example, it analyzes the pages mainly used by people in their 20s living in Seoul or analyzes the propensity of users by gender, age, and place of residence using the latest music part of the site. It also plays a role of maintaining sessions, which maintains sessions in accordance with international standards established by IFABC to distinguish the number of visits and the number of visitors. However, if you do not use the site for 30 minutes after the session is given, the session will be terminated. In this case, if you visit again, the number of visits will be counted again. In addition, the analysis server 360 makes a batch process call. In this case, if necessary, the data of the stored DB analyzes the accumulated data at a predetermined time instead of real time. In addition, the analysis server 360 records the packet log.

3 shows an information analysis step of the usage analysis server 400. As shown, the usage analysis server 400 receives mined information from the statistics server 300 and collects the entire usage information and then defines 410, defines whether to use a designated page 420, and collects usage information for each user 430. ) And the content information server transmission information 470 and the user information server transmission information 490 through the steps of user-specific usage restriction definition 440, respectively, and then the content information server 600 and the user information server ( 500).

The definition 410 after collecting the total usage information is a step of collecting and analyzing all the usage information transmitted from the statistics server 300 regardless of whether the user is logged in or not. As a page that can be added or deleted at any time, such as a sale page, it is a step of analyzing whether to use a designated page as a part or all pages in which user use may be important data. In addition, the user-specific usage information collection step 430 is a step of collecting the usage information of the user logged in, the user-specific usage pattern definition 440 is to apply the user-specific usage pattern to the predefined user type definition of the user Define the type. After the entire usage information collection, the definition 410, the designated page usage definition 420, and the user-specific usage information collection step 430 information is the content information server transmission information 470 as the content information server 600 The information passed through the user-specific usage information collection 430 and the user-specific usage pattern definition 440 are transmitted to the user information server 500 as user information server transmission information 490.

4 illustrates an information processing step of the user information server 500. As shown, the user information server 500 collects user pattern definitions based on data received from the user analysis server 400 (s42), updates and defines user types for each user, and the content server. The data passed through the type definition transmission step s46 is transmitted to the content information server 600. The user-specific usage pattern definition collection step (s42) specifies user-specific usage pattern definition values received from the usage analysis server 400, and the user-type usage pattern update and definition (s44) step receives the received usage pattern definitions. Redefine user usage pattern by comparing the value with the predefined value. Here, the usage pattern definition refers to defining and defining a user usage pattern for a predetermined period of time, for example, collecting and storing user usage pattern information during a period arbitrarily set by the user, such as a day or a week, and selecting a pattern to be stored. define. Since the present system composes the content using the above definition values, the system user can arbitrarily set the corresponding period. In the type definition transmission to the content server (s46), the usage pattern definition value is transmitted to the content information server.

5 shows an information processing step of a content information server. As shown in the figure, it receives the entire usage information definition and user-specific usage information definition from the usage analysis server 400, receives the user-specific pattern definition from the user information server 500, and configures the content based on this ( s54) The priority of the configured content is determined (s56) and data is transmitted to the client push server. Receiving step (s52) of receiving the entire usage information definition (s520), receiving the user-specific usage information (s522), and receiving the user-specific usage pattern definition (s524) includes receiving data regarding whether a designated page is used. The content constituting step (s54) configures content received according to use of user-specified content and user-specified content according to user-received content for each user, recommended content according to a usage pattern definition for each user, general content, and cluster analysis by user. After comparing with the use information, it is the step of excluding or reselecting the previously used content by user. The content priority determining step (s56) is a step of determining the priority of the content information to be pushed to the user among the content configured in the content composition step (s54).

Although not illustrated in the drawings, the client push server 800 may push all the pushes to the client through a command received from the content information server 600 and the real-time content management server 900 as shown in FIG. 1. Save the information and push the push information to the client. In addition, the dedicated content server 700 stores the actual content of the information shown through the client, and transmits and displays the actual content when the user requests the information through the client or the web page.

Meanwhile, the real-time content management server 900 collects information on a page or content requiring immediate response collected through a web page or a client and user information using the same, as shown in FIG. Page information requiring a response and corresponding content information corresponding thereto are stored. Therefore, the corresponding content matching the corresponding page or content is selected and transmitted along with the user information to the push server. In this case, a page requiring immediate response can be selected and defined by a user using the system, and a definition method is defined by inserting a tag command or an event command in a corresponding page or content. In this case, a series of processes such as statistical analysis, usage analysis, user analysis, and content analysis are omitted for real time response.

6 and 7 illustrate a flow related to information transmission according to whether a client is installed and logged in. As shown in FIG. 6, when the user accessing the web server s62 through the web browser s60 agrees to the client installation (s64), the client is downloaded (s66) and the client is installed (s68). If you do not agree, the client will not be installed. On the other hand, as shown in FIG. 7, when the user logs in according to whether the user logs in (s72) when the user accesses the web server or the client through the web browser (s70), as shown in FIG. The user information is transmitted (s76), and only the tag information is transmitted (s74) when not logged in. The tag information refers to information collected through a tag command.

A method for providing real-time statistical analysis content using the web and the client will be described according to a specific embodiment. The above embodiment will be described first by dividing the case where the user uses various contents through the website or the client without logging in, and secondly, the case where the user uses the various contents through the website or the client while logging in. . In addition, an example of data transmitted in each step will be described together as needed. In addition, one embodiment according to the present invention assumes that a case where a plurality of users are connected at the same time.

In the first case, that is, a case where various contents are used through a website or a client without a user logging in will be described with reference to FIG. 8.

As shown, in the user environment of the first case, an embodiment includes a website or client using step (S80), a statistical step (S81), a use analyzing step (S82), a content information analyzing step (S83), and a content information pushing step. In operation S84, the actual content transmission step S85 is performed. In addition, when a designated page requiring immediate push is used, the step of proceeding to the content information push step. First, the user uses the website or the client (s80) without logging in. Here, the use of a website means that a user accesses a specific website and uses shopping contents such as sports and leisure goods. In this case, all the web surfing information used by the user is sent to the statistics collection server in the form of logs, and the sent form is accumulated in the DB based on the page and becomes an analysis report. On the other hand, using the client refers to using real content by clicking content information pushed from the client. The actual content page or contents are also sent to the statistics collection server surfing information of the same type as the website and reported.

In the statistical step (S81), all the usage information of the user is collected and analyzed as described above with reference to FIG. 2B. For example, if a user used 5 pages as below,

Main.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

sports.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

sports_1.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

shopping_golf.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

shopping_golf_2.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

The user uses five pages such as a main page, a sports page, and a golf page in shopping. In this case, the statistics server has the following service categories.

Content Main: 100 News: 150 Sports: 250 Shopping-Golf: 400- Luxury: 300- Travel: 200

In the above, the number is the number of site users using the content. This can be counted as a page reference data record. According to the analysis information of the statistical step, the preference of contents can be identified in the order of shopping _ golf> shopping _ luxury> sports> shopping _ travel> news> main.

The use analysis step (s82) identifies the content having a priority (that is, the content with high preference) based on the data transmitted in the statistics step and sends each category information to the content information analysis step.

In the content information analysis step (s83), push information matching the corresponding website is preconfigured and input as follows.

Contents: m-1, m-2, m-3 .... News: n-1, n-2, n-3 .... Sports: sp-1, sp-2, sp-3 .. ..Shopping-Golf: s_g-1, s_g-2, s_g-3 ....- Luxury: s_m-1, s_m-2, s_m-3 ....- Travel: s_t-1, s_t-2, s_t-3 .... Specification page 1: event_ad 1Specification page 2: event_ad 2

The code on the right side of the content is the identification code of the push content. As described above, push content codes such as push content or advertisements corresponding to contents provided by the corresponding site are stored in the content information server. In addition, the content identification code corresponding to the designated page at the bottom of the push information is set together, which means that the designated page is for one page of the corresponding page, whereas the content may include various pages in the category. . Therefore, through immediate events, it enables active close marketing by matching the specific contents and the specific events or promotions in progress on the site.

On the other hand, in the case where the user uses the website or the client, when the user uses the designated page according to whether the user uses the designated page (s87), the above use analysis step (s82) and content information analysis step (s83). Do not go through. The designated page is a series of pages designated by a company using the present invention in conjunction with the present invention and refers to a page designed to push a real-time event or advertisement when the user accesses the designated page. For example, if the leisure goods shopping is designated as the designated page, 'A' selects the content or advertisement to be pushed according to the information of 'A' when accessing the leisure goods shopping page, and whether the content to be pushed is already exposed to 'A'. It is designed to push content or advertisement through immediate push centered on unexposed contents after determining whether or not. The script command of the page is commanded to send the access information to the statistics server (not shown in FIG. 8, but shown in FIG. 1) and simultaneously to the real-time content management step (S88). The type of data includes a user identification method. For example, the identification code of a client program that is downloaded and used by the user is added in addition to the basic information. The operator determines the destination to push through the identification code and the basic analysis data.

The real content transmission step (S86) is a high frequency of use, content, advertisements, events, etc. among the contents provided by the website or the client based on the website usage information analyzed in units of various forms such as daily / weekly / monthly Is selected to push the corresponding contents to various times such as daily / weekly / monthly to the user who installs the client program and does not log in.In addition, when the user uses the actual content through the client program In addition, the user's location (for example, the user's basic information, the IP and the unique identification ID of the client program, etc.) is grasped to immediately push the contents corresponding to the use of the designated page through the client when accessing the designated page. On the other hand, the actual content corresponding to the content information pushed in the content information push step (S84) is located in the dedicated content server.

In the second case, that is, a case in which various contents are used through a website or a client while a user is logged in, will be described with reference to FIG. 9. In the case of logging in, unlike in the case of not logging in, the user information analysis step (S93) is additionally included. In the following description, the same parts as described above with reference to FIG. 8 will be omitted.

The user uses the website or client while logged in (S90). In this case, the web page includes a script command to collect the user's usage information, and some or all pages have a web server configured to drop the user's login information as a cookie. The script command collects this cookie information together with the statistics collection server. In addition, the content used through the client is also a command to send the usage information of the content to the statistics collection server. This is the same as a web page, and contains a command to play a role in content such as an image or a video advertisement.

The illustrated statistical step (S91) will be described. If you use the following web page,

Main.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

sports.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

sports_1.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

shopping_golf.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

shopping_golf_2.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

As described above, the information remains on a page basis and is recorded in the statistics server DB on an ID basis as below.

ID 1 / sports_1.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

ID 1 / shopping_golf.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

ID 1 /shopping_golf_2.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

In the illustrated use analysis step S92, the information is received and sent to the user information analysis step S93. Information passed in the user information analysis step (S93) is as follows.

ID 1 / sports_1.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

ID 1 / shopping_golf.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

ID 1 /shopping_golf_2.asp / 2002-12-12-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

ID 1 / sports_1.asp / 2002-12-13-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

ID 1 / shopping_golf.asp / 2002-12-13-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

ID 1 /shopping_golf_2.asp / 2002-12-14-12: 12: 12 / 211.211.211.211 / yahoo.co.kr / mozila 4.4 / kor / ....

The information is further refined and mined and stored in the form of date-ID-content-use-time-path. Stored information is information about the entire site users and collects and mines usage information of all users. In the above process, the user information defines the type of the user. If the type of the user is pre-appointed, for example, the number of the user is 1000, ID 1 represents the user's basic data such as gender, age, region, and education. It is defined as one type among 1000 classified by applying surfing type, that is, favorite or usage rate (including number and time), and sent to content information server. This is the case when the type of the user limited to 1000 is applied. If the type is not defined, data that can be matched with the content information server is sent to the content information analysis step (S94). That is, data in the form of gender, age, place of residence, education, income, interests, favorite content 1, favorite content 2, etc. will be sent.

In the content information analysis step (S94), the contents of the ID 1 are compared with gender matching data, for example, the following information, and the push content priority is determined by matching the content information in the content information analysis step (S94).

Shopping_Golf Content_Gender Male Priority Women's Lane Age 30-40 Priority 50-60 Lane Other Seoul Gangnam Priority Gangbuk Second Priority Busan Haeundae Third Priority etc. Golf Shop 3rd place, etc.

The content information analysis step (S94) may be composed of each of the following analysis steps, which can be arbitrarily changed by the user of the present invention as needed.

<Configuration according to web surfing materials>

It pre-configures the push content corresponding to each content provided by the site and has an identification value. Accordingly, the push content is searched according to the content usage priority or the user-specified rank, and the push period and the number of push contents are determined. User-specified pushes at regular intervals or once.

<Configuration according to cluster analysis>

This is a method of organizing contents according to user information created when a user downloads a website or client program and joins according to the ID of the logged in user. This is determined depending on what items the user created when signing up. For example, if the corresponding content is configured in advance and the corresponding user logs in, the ID is checked to select and configure the content according to the cluster analysis.

Male-oriented contents Female-oriented contents Common contents by gender 10 contents 20 contents 30 contents Seoul contents Busan contents Incheon contents Work contents University student contents

The configured content can be configured immediately upon login in real time so that a push can be initiated or the system operator can arbitrarily set a start or rotation time. This is because the value of the statistical data can be reduced by a large amount of data accumulated over a plurality of times, not once.

<Configuration according to individual analysis>

The composition according to the individual analysis may be referred to as a content composition specialized for each user. Refers to a method of individually configuring user information and content used. For example, there is no guarantee that a person who has user information, such as a travel leisure, for a male college student in his 20s, generally likes the content of 'A'. Therefore, the contents are basically configured according to the user's surfing information, and the push content is composed of the contents according to the priority of contents use and the judgment of the system operator. As the configured content is pushed to the user, the user's response is collected again through a series of processes described above. Through the above process, when the user's favorite content so far has been adult video, the user pushes the corresponding content to collect and analyze the user's response to form another content again. By repeating the above process, it is possible to construct the push content that is most specialized for each user.

<Configuration according to designated page>

The designated page may be part or all pages, and the reason for managing the designated page separately is to use it when the push contents are already configured by the user of the present invention or when an immediate response is required. The real-time content server identifies the user in the data collected on the designated page, checks the page used by the user, matches the content to be immediately pushed, and sends the code of the matched content to the client push server to push.

Of the steps shown in FIG. 9, the same descriptions as those shown in FIG. 8 are omitted.

The present invention described above is not limited to the above-described embodiment and the accompanying drawings, and various substitutions, modifications, and changes are possible within the scope without departing from the technical spirit of the present invention. It will be evident to those who have knowledge of.

As described above, according to the present invention, information on content usage using a web page or a client of a user may be collected and analyzed in real time by a tag command, and content information may be selected and provided according to a user's disposition. Therefore, according to the present invention, it is possible to provide optimal content information by continuously correcting and supplementing the user's disposition by comparing the content usage type of the user, which is standardized by the first cluster analysis, with the content usage information of the user.

In addition, according to the present invention, since usage information and usage information are collected not only through a web page but also through a client, the accuracy of information necessary for analysis can be improved, and according to the present invention, an operator can designate as necessary, since a real-time content management step can be utilized. The page can be used to enable immediate push of content.

In addition, the user of the present invention can arbitrarily change the configuration of the content information analysis step, if necessary, can analyze and provide information suitable for the user's needs.

Claims (15)

Transmitting usage information by a tag command through a web page or a client; A statistical step of collecting and analyzing the received usage information and transmitting the collected usage information to the usage analysis server; A usage analysis step of analyzing the usage information to generate user-specific usage information and all user usage status information and transmitting the same to the content information server; A content information analysis step of transmitting the content information configured by comparing the information received from the use analysis step with the content information to the client push server; A content information pushing step of transmitting content push information determined based on the content information to a client or a web page; Real-time statistical analysis content providing method using the web and the client, characterized in that it comprises a real content transmission step of transmitting the real content when the user requests through the transmitted content push information. The method of claim 1, The statistical step is a method for providing real-time statistical analysis content using the web and the client, characterized in that only the user logged in is also received the user-specific usage information. The method of claim 1, The use analysis step is a method for providing real-time statistical analysis content using the web and client, characterized in that for the logged in user to transmit the user-specific usage information to the user information server. The method of claim 1, Between the user analysis step and the content information analysis step, the user information analysis step of analyzing the user information for each user pattern for each user pattern for each logged in user and transmits it to a content information server is added. Real-time statistical analysis content providing method using the. The method according to any one of claims 1 to 4, If the user wants to push the content immediately, Transmitting usage information by a tag command to the real-time content management server through the web page or the client; Real-time statistical analysis using the web and the client further comprising a real-time content management step comprising the step of transmitting the push information and the logged-in user information to the client push server based on the received usage information How to provide content. The method according to any one of claims 1 to 4, Between the content information server and the dedicated content server, the web and the client further comprising the step of periodically adding to or deleting the actual content of the dedicated content server corresponding to the content information of the content information server. A method of providing real-time statistical analysis content. The method of claim 1, The statistical server is a method of providing real-time statistical analysis content using the web and client, characterized in that the step of refining the primary information to the secondary information, the secondary information to the tertiary information. The method of claim 1, The tag command is inserted into part or all of the web page, characterized in that the real-time statistical analysis content providing method using the web and client. The method of claim 1, The tag command is a real-time statistical analysis content providing method using the web and client, characterized in that inserted into the client. The method of claim 1, Method for providing real-time statistical analysis content using the web and the client, characterized in that the client is inserted into the event for the command to transmit the user usage information and content usage information. The method of claim 1, The statistical step may optionally or all include generating and recording summary data, generating local information or ISP report, analyzing page views, analyzing time of stay, analyzing and recording sessions, and recording packet logs. Method for providing real-time statistical analysis content using the web and client, characterized in that. The method of claim 1, The statistical step is a batch process call, real-time statistical analysis content providing method using the web and client, characterized in that the analysis of the stored DB content by a unit of time, not in real time, if necessary. The method of claim 4, wherein The user information analysis step comprises the use pattern definition collecting step, user type update and definition step for each user, type definition transmission step or the method of providing real-time statistical analysis content using the client, characterized in that all. The method of claim 1, The content configuration in the content information analysis step utilizes the web and the client, characterized in that it comprises selectively or all of the configuration according to the web surfing material, the configuration according to the cluster analysis, the configuration according to the individual analysis, the specified page A method of providing real-time statistical analysis content. The method of claim 1, The content information push step may include all or all of the use information receiving step, the receiving use information per user, the receiving pattern definition step for each user, and the content prioritization step. How to provide statistical analysis content.