KR20080021856A - The system and method for log information analysis - Google Patents

Abstract

A system and a method for analyzing log information are provided to display a log analysis result of each goods to a shop registering goods to a shopping mall by storing the log information according to each item, and analyzing and processing the stored log information according to the goods registered to the shopping mall. A user PC(10) transmits a webpage request signal of a user to a first provider server(50) which consists of a communication interface, a web sever controller(52), a web program module(53), a webpage database(54), a log analysis program module(55) and a log database(56). In addition, the user PC and receives and displays a webpage corresponding to the webpage request signal. The first provider server extracts/transmits the webpage corresponding to the webpage request signal to the user PC, extracts detail goods and tag information from the extracted webpage, and stores log information of the extracted webpage to an item database matched with the detail goods/tag information. The first provider server analyzes the log information, which is stored in the item database, of the goods, and transmits a log information analysis result to a first or second provider PC(30) when a log analysis request signal is received from the first or second provider PC. The first or second provider PC transmits the log analysis request signal of the goods to the first provider server, and receives and displays the log analysis result.

Description

Log information analysis system and its method {THE SYSTEM AND METHOD FOR LOG INFORMATION ANALYSIS}

1 is a block diagram of a log information analysis system according to a first embodiment of the present invention.

2 is a flowchart illustrating a log information analysis system according to a first embodiment of the present invention.

3 is a block diagram of a log information analysis system according to a second embodiment of the present invention.

4 is a flowchart illustrating a log information analysis system according to a second embodiment of the present invention.

5 is a flowchart illustrating an operation of storing log information for each item according to an embodiment of the present invention.

6A-B are flowcharts of an operation of analyzing and processing log information according to a corresponding product according to an embodiment of the present invention.

Figure 7 is an exemplary view of the first operator site initial screen according to an embodiment of the present invention.

8 is an exemplary web page selected by a user according to an embodiment of the present invention.

9 is an exemplary log analysis service web page according to an embodiment of the present invention.

10 is an exemplary diagram visualizing a log analysis result for a keyword according to an embodiment of the present invention.

11 is an exemplary view visualizing a log analysis result for a category according to an embodiment of the present invention.

12 is an exemplary diagram visualizing a log analysis result for classification according to an embodiment of the present invention.

13 is an exemplary diagram visualizing a log analysis result for an event according to an embodiment of the present invention.

14 is an exemplary diagram visualizing a log analysis result for an influent wholesaler according to an embodiment of the present invention.

15 is an exemplary diagram visualizing an overall summary analysis result according to an embodiment of the present invention.

The present invention relates to a system and method for analyzing log information, and more particularly, to a system and method for visually providing an analysis result by storing log information for each category and analyzing and processing log information stored for each category. .

In general, when an Internet user selects and visits a web page on a web site on the Internet, information such as the visitor's IP or the number of times of access is automatically stored in the web server. This is called log information.

In addition, log information analysis is performed on the usage of the web server system or website usage visited by a commercial user by performing basic analysis such as the number of landing pages over time using the log information generated while executing a web service. Analyze and provide it visually.

The log analysis method includes a micro action analysis method that analyzes interactions and conversions of each step according to a promotion process from a visitor perspective, and a macro action analysis that is analyzed from a time perspective, a page perspective, and a path perspective. Methods and metrics analysis methods based on detailed metrics models for measuring promotional goals. In the log analysis as described above, the web site operator can manage the web site more efficiently by analyzing the log information by identifying the number of visitors to the web site and the behavior of the web server from the visitors' interests. Provide information to help.

As a method of expressing the log analysis result, a list form was mainly used, but recently, the log analysis result is visually provided, such as a bar graph, a linear graph, and / or a pie graph, so that the user can know the log analysis result more conveniently. .

However, the website operator uses the tool that executes the log analysis as it is provided by the solution company. Therefore, the log provided by the solution company does not correspond to the characteristics of each web service operated. The analysis method mainly provides analysis information depending on the number of clicks on the page, which makes it difficult to manage the web service more efficiently.

In addition, the log analysis is managed in the open market (eg G market, auction, GS Store) or a shopping mall (eg H Mall, CJ Mall, Woori Home Shopping) as the first operator, The log analysis is not performed according to the supplied product, and is configured to meet only the purpose of the first operator. In addition, since the first operator does not provide the log analysis results to the second operator who is the entry / supplier of the first operator, the second operator does not know the result of the log analysis and therefore does not know his website. There is a problem that cannot be managed more efficiently.

Accordingly, an object of the present invention is to provide a log analysis result according to the product by storing the log information for each item and analyzing and processing the log information according to the registered product, which is devised to improve the above problems. There is a purpose.

Another object of the present invention is to store the log information for each item in the open market and / or shopping mall server that is the first operator and to analyze and process the stored log information according to the product registered in the first operator server according to the product The purpose is to provide the log analysis results to the entry company that is the second business that registered the product.

Another object of the present invention is to store the log information in a separate log analysis server for each item and to analyze and process the log information according to the product registered in the first operator server to analyze the results of the first operator and / or agent 2The purpose is to provide to operators.

The present invention for achieving the above object is a system for analyzing log information, and transmits the corresponding web page information request signal according to the user's request to the first provider server, the web from the first provider server A user's computer (PC) receiving and displaying webpage information according to a page information request signal, and webpage information according to the webpage information request signal received from the user's computer (PC), are extracted, and the user's computer. (PC) and extracts product detail information and tag information from the extracted web page information, and logs information of the extracted web page in each item database DB matching the product detail information and tag information. Store the log analysis request signal from the first operator or the second operator computer (PC), According to the first operator to analyze the log information of the product stored in each item database (DB), and transmit the log information analysis result of the product to the computer (PC) of the first or second operators When the server and the log analysis request signal are transmitted to the first service provider server and the log information analysis result is received from the first service provider server, a computer (PC) of the first service provider or the second service provider that visually displays the information is displayed. It is characterized by including.

In addition, the present invention for achieving the above object is a system for analyzing log information, and transmits the corresponding web page information request signal according to the user's request to the first operator server, the corresponding operator from the server The user's computer (PC) receiving and displaying webpage information according to the webpage information request signal, and the corresponding webpage information according to the webpage information request signal received from the user computer (PC) are extracted and the information is retrieved. A server of a first operator that transmits the extracted web page information to a log analysis server if the extracted web page information is included in the extracted web page information, and from the server of the first operator. Upon receiving the extracted webpage information, product detail information and tag (TEG) information is extracted from the received webpage information. When the corresponding log information of the received web page is stored in each item database DB matching the product detail information and the tag information, and a log analysis request signal is received from the first or second business computer (PC), According to the log analysis request signal, the log information of the corresponding product stored in each item database (DB) is analyzed, and the log information analysis result of the corresponding product to the computer (PC) of the first or second operator A computer of a first operator or a second operator that transmits a log analysis server and a log analysis request signal to the log analysis server, and visually displays the log information analysis result from the log analysis server. It is characterized by including).

It should be noted that in the following description, only parts necessary for understanding the operation and operation according to the present invention will be described, and descriptions of other parts will be omitted so as not to distract from the gist of the present invention. DETAILED DESCRIPTION Hereinafter, detailed descriptions of preferred embodiments of the present invention will be described with reference to the accompanying drawings.

1 is a block diagram of a log information analysis system according to a first embodiment of the present invention. Referring to FIG. 1, a system configuration of storing log information for each item and analyzing and processing log information according to a corresponding product to provide log information analysis results is described. 10, the Internet network 20, the first operator server 50 and the second operator PC (30) is configured.

The user PC 10 is a computer capable of web service (Internet communication) and means a computer operated by a user who uses a web service. A user using a web service operates the user PC 10 to an open market (for example, G market, auction, GS store) or a shopping mall (for example, H Mall, CJ Mall, Woori Home Shopping), which is the first operator. It is possible to check or purchase the goods of a second business that is entered / registered.

The internet network 20 may be a wireless internet network or a wired internet network. The Internet network 20 connects the user PC 10 and the first operator server 50 and connects the first operator server 50 and the second operator PC 30 and / or the first operator server. Connect the operator PC (not shown). The Internet network 20 transmits the web page information request signal generated by the user PC 10 to the first operator server 50 through the above connection and is extracted from the first operator server 50. The web page information is transmitted to the user PC 10. In addition, a log analysis request signal generated from the operator PC (not shown) of the second operator PC 30 and / or the first operator server is transmitted to the first operator server 50 and the first operator server 50. Visually processed log analysis information from the second operator PC 30 and / or the operator PC (not shown) of the first operator server.

The first operator server 50 uses a communication interface 51, a web server controller 52, a web program module 53, a web page DB 54, a log analysis program module 55, and a log DB 56. Include.

The communication interface 51 performs a function of connecting with the internet network 20.

The web server controller 52 controls the first operator server as a whole. And it is controlled to provide a second administrator (article registration / entry) administrator administrator program that can register (entry) the goods on the first business server. According to the first embodiment of the present invention, the web server controller 52 extracts a web page according to a web page information request signal transmitted from the user PC 10, and extracts the extracted web page from the user PC 10. Control to send to. The web server controller 52 extracts and analyzes tag information of the extracted web page and logs matching the tag information when a web page including detailed information of the corresponding product generated during the web service is extracted. Control to save the log information of the web page in the DB. In addition, the web server controller 52 analyzes log information according to a log analysis request signal transmitted from the second operator PC 30 and / or an operator PC (not shown) of the first operator server, and analyzes the result of the analysis. Visually process and control it to be transmitted to the operator PC (not shown) of the second operator PC 30 and / or the first operator server.

The web program module 53 performs a function of interworking programs necessary for the web service while the web service is executed and extracting a web page according to the web page information request signal transmitted from the user PC 10. . In addition, under the control of the web server control unit 52, a product sales admin who can register (enter a product) on the first business server is provided to a second business (product registration / entry).

The web page DB 54 stores programs and data for controlling a general operation of the first operator server 50. In addition, web pages (web page configuration information) including product information registered from the second company (product registration / entry point) are stored.

The log DB 56 has a storage space or a storage location set for each product. In the storage space or the storage location according to the product, a plurality of items of DB (keyword DB, category DB, classification DB, event DB, inflow wholesaler DB, time DB, etc.) are configured. Also, the log information of the extracted web page is stored in the corresponding item DB of the log DB matching the product detail information and the tag information of the extracted web page under the control of the web server controller 52.

The log analysis program module 55 receives the log analysis request signal from the second operator PC 30 and / or the operator PC (not shown) of the first operator server under the control of the web server controller 52. The log information is analyzed according to the log analysis request signal and visually processed.

The second operator PC 30 is a computer capable of web service (Internet communication), and the second operator operates the second operator PC 30 to open market (eg, G market, auction, GS Store, or a shopping mall (for example, H Mall, CJ Mall, Woori Home Shopping) can enter / register the product. In addition, an administrator administration program is provided for registering (entering) an item in the web service from the first operator server 50 for the web service (Internet shopping service).

2 is a flowchart illustrating a log information analysis system according to a first embodiment of the present invention, and FIG. 5 is a flowchart illustrating an operation of storing log information according to an item according to an embodiment of the present invention, and FIGS. 6A-B are diagrams illustrating the present invention. According to an embodiment, a flowchart of an operation of analyzing and processing log information according to a corresponding product is shown.

Referring to FIGS. 2, 5, and 6A-B, a system flow of storing log information for each item and requesting log analysis, analyzing and processing log information according to a corresponding product, and providing log information analysis results will be described. In the following, a second supplier, a product supplier, may use a merchandise contract to open-market (for example, G Market, Auction, GS Store) and / or shopping mall (for example, H Mall, CJ Mall, Woori Home Shopping). Assume that you are provided with a product sales administration from) and entered / registered the product.

When a user selects a predetermined site from among an open market or a shopping mall that is a first business operator while the Internet communication network is connected, when the user is connected to the user PC 10 and the first service provider server 50 through a web connection, the site is initially initialized. The screen is displayed as shown in FIG. 7 (201). The initial site of the site is provided with a variety of menus so that the user can access the product more conveniently. For example, an access menu using a keyword input, an access menu using a category, an access menu through an event, an access menu through a classification, and / or an access menu using a wholesaler.

When the web connection is established and the initial screen is displayed, the user may select a web page, ie, a product detail page, to be accessed by the user using the provided access menus by operating the user PC 10 (203). . When the user selects a predetermined web page, the user PC 10 transmits the selected webpage information request signal to the first operator server 50 through the Internet network 20 (205).

The first operator server 205 that receives the selected webpage information request signal from the user PC 10 analyzes the received webpage information request signal to extract the requested webpage information (207) and extracts the requested webpage information. Web page information is transmitted to the user PC 10 via the Internet network 20 (209). For example, when the user inputs "Trench Coat" as an access menu method through a keyword input and requests web page information on the same, the first operator server 50

"http://www.market.com/challenge/neo_search/search_total.asp?keyword=Trench Coat" is transmitted to the user PC 10, and the user selects the event by the access menu method through the event. When requesting the web page information about this, the first operator server 50 is "http://www.market.co.kr/challenge/neo_sangsul/html_sangsul/plan_display_22078.asp?sid=22078" the user PC Transfer to (10).

The user PC 10 analyzes and visualizes the corresponding web page information received from the first operator server 205 and displays it as shown in FIG. 8 (210). Thereafter, the user PC 10 determines whether a signal for terminating the connection with the first operator site is generated (213). When the termination signal is generated, the user PC 10 releases the web connection with the first operator site (214). Otherwise, while repeating the above process, the user arrives at the web page containing the detailed information of the product desired by the user. The above-described 'script (the web page information)' includes tag information (TEG) that tells the user how to reach the web page including the detailed information of the product.

Meanwhile, the first business server 205 extracts the requested webpage information (207) and transfers the extracted webpage information to the user PC (10) while repeating the process of extracting the webpage. It is determined whether the information is web page information including detailed information of the product desired by the user (215), and if the extracted web page information is web page information including detailed information of the product, the tag of the web page (TEG) Information is extracted and the log information of the web page is stored in each classification DB configured in the log DB 56 matching the tag information (216).

Extracting the tag information (TEG) of the web page including the detailed information of the product and storing the log information of the web page in each classification DB configured in the log DB matching the tag information in FIGS. In more detail with reference to FIG. 5, when the web page including the detailed information of the product is extracted, the web server controller 52 analyzes the information of the web page including the detailed information of the product in step 501. The product information, item information, product name information, and information on a second business operator who registered the product are extracted and recognized. In operation 502, the web server controller 52 controls the log DB 56 to read the product DB corresponding to the recognized product detail information. For example, as a result of analyzing the information of the web page including the detailed information of the product, the item information of the product is "clothes", the name information of the product is "trench coat", and the second business information that registers the product If it is "Korean clothing", it reads the "cloth / trench coat / Korean clothing" product DB matching the above information among the various product DB.

In operation 503, the web server controller 52 extracts tag (TEG) information from information on a web page including detailed information of the product.

First, if the extracted tag information is keyword tag information, the web server controller 52 detects it in step 505 and proceeds to step 507. In step 507, the web server controller 52 controls the log DB 56 to read the keyword DB, which is a sub-item of the read product DB, and to store log information of the keyword among the web page information in the keyword DB. do. For example, if a user enters "Trench Coat" as an access menu method using keyword input, and arrives at the web page including the detailed product information, "http://www.market.com/challenge/neo_search/search_total" Web page information including ".asp? keyword = Trench Coat" is extracted and "logword = Trench Coat", which is log information about a keyword, is stored in the keyword DB, which is a sub-item of the product DB. .

Second, if the extracted tag information is category tag information, the web server controller 52 detects it in step 509 and proceeds to step 511. In step 511, the web server controller 52 controls the log DB 56 to read a category DB which is a lower item of the read product DB, and store log information of a category among the web page information in the category DB. do. For example, if a user arrives at a web page that contains "shorts" product details via the "Fashion / Goods" category, "Women's clothing / underwear" category, "Pants / pants" via the category menu, " http://www.gmarket.co.kr/challenge/neo_category/html_small_category/small_category_300005886.asp?gdsc_cd=300005886 is extracted, and the log information for the category of the extracted webpage information is " gdsc_cd = 300005886 ”is stored in the category DB which is a lower item of the product DB.

Third, if the extracted tag information is classification tag information, the web server controller 52 detects it in step 513 and proceeds to step 515. In step 515, the web server control unit 52 controls the log DB 56 to read a classification DB which is a lower item of the read product DB, and store log information of classification among the web page information in the classification DB. do. For example, if a user arrives at a web page that contains product details through "Best Seller 50" in a categorized access menu, "http://gmarket.com/challenge/neo_etc_main/best_seller_list.asp" The included web page information is extracted and the log information "best_seller_list.asp", which is a log information of the classification, is stored in the classification DB which is a sub item of the product DB.

 Fourth, if the extracted tag information is event tag information, the web server controller 52 detects it in step 517 and proceeds to step 519. In step 519, the web server controller 52 controls the log DB 56 to read an event DB which is a lower item of the read product DB, and stores log information of an event in the web page information in the event DB. do. For example, if a user arrives at a web page with product details in an access menu through events, "http://www.gmarket.com/challenge/neo_sangsul/html_sangsul/plan_display_22078.asp?sid=22078 The corresponding web page information including "" is extracted and the event name corresponding to "sid = 2207", which is log information about the event, is stored in the event DB which is a lower item of the product DB.

Fifth, if the extracted tag information is inflow domain tag information, the web server controller 52 detects it in step 521 and proceeds to step 523. In step 523, the web server control unit 52 controls the log DB 56 to read the inflow wholesaler DB, which is a sub-item of the read product DB, and log information about the inflow wholesaler in the webpage information. Save to DB. For example, if a user arrives at a web page that contains product details in an access menu through the "Next" wholesaler, the web page information containing "http://cafe216.daum.net/_c21_/bbs_read" is displayed. The name of the inflow wholesaler corresponding to "cafe216.daum.net/_c21_/bbs_read" which is log information of the inflow path among the extracted web page information is stored in the presumed wholesaler DB which is a sub item of the product DB.

The log information of the web page is stored in each classification DB configured in the log DB 56 in the above manner, and thereafter, the first business manager PC (not shown) and / or the first business open market or A second operator who enters / registers the product in a shopping mall is connected to a log analysis service through the operation and / or authentication process of the second operator PC 30 to display a log analysis web page as shown in FIG. 9 (218). When a corresponding log analysis menu is selected among the log analysis menus configured in the displayed log analysis web page, a log analysis request signal corresponding to the selected corresponding menu is transmitted to the first operator server 50 (220), and the first The operator server 50 executes a log analysis according to the log analysis request signal, and visually processes the log analysis result (222), and the first operator manager to process the visually processed log analysis result. Transmission (223) to a PC (not shown) and / or the second operator PC 30. Here, the log analysis web page is not only a category analysis menu, an event analysis menu, a keyword analysis menu, a classification analysis menu, an influent wholesaler analysis menu according to each product, but also a summary analysis menu, an hourly analysis menu, a weekly analysis menu, and a weekly analysis menu. And / or monthly analysis menu.

Referring to FIGS. 1 and 6A-B, the first operator server 50 executes log analysis according to a log analysis request signal and visually processes the log analysis result. The first operator's PC (not shown) and / or the second operator's PC (30) and the web service is connected (601) the first operator's manager PC (not shown) and / or the second operator's PC (30). When the log analysis request signal according to the corresponding log analysis menu is selected from the web server controller 52 detects it in step 603 and proceeds to step 605. In step 605, the web server controller 52 analyzes the received log analysis request signal and requests any kind of log analysis from the first operator's manager PC (not shown) and / or the second operator's PC 30. Be aware that

First, if the received log analysis request signal is a signal for requesting keyword log analysis of a predetermined product, the web server controller 52 detects it in step 607 and proceeds to step 609. In step 609, the web server controller 52 controls the log DB 56 to extract log information on the keyword of the predetermined product, and proceeds to step 611. In step 611, the web server controller 52 controls the log analysis program module 55 to analyze log information on the extracted keyword and to process the log information analysis result on the keyword as visualization information. For example, when a log analysis request signal for a keyword of a "Vakenstock Madrid sandal" product is detected from the first operator's PC (not shown) and / or the second operator's PC 30, the log DB 56 may be stored. From the keyword DB, which is a sub-DB of the "Barkenstock Madrid sandals" product DB, the log information "Baristak", "Slippers", "Barkenstock men's shoes", "Madrid", "Sandals", etc. of the keywords are extracted and extracted. Analyze the log information for the keyword and process the log information analysis result for the keyword into visualization information to be displayed on the first operator manager PC (not shown) and / or the second operator PC 30 as shown in FIG. 10. .

Second, if the received log analysis request signal is a signal for requesting a category log analysis of a predetermined product, the web server controller 52 detects it in step 613 and proceeds to step 615. In step 615, the web server controller 52 controls the log DB 56 to extract log information for the category of the predetermined product, and proceeds to step 617. In step 617, the web server controller 52 controls the log analysis program module 55 to analyze log information of the extracted category and process the log information analysis result of the category into visualization information. For example, if a log analysis request signal for a category of "Bakenstock Madrid Sandal" goods is detected from the first operator's manager PC (not shown) and / or the second operator's PC 30, it is stored in the log DB 56. From the category DB, a sub-DB of the "Bakenstock Madrid de Sandals" product DB, the log information for the category "Fashion / Accessories> Shoes / Bag / Wallet / Belt> Women's shoes> Sandals" and "Fashion / Accessories> Shoes / Bag / Wallet / belt " and the like, and analyze log information of the extracted category, and analyze the log information analysis result of the category to the first operator manager PC (not shown) and / or the second operator PC 30. It is processed into visualization information so as to be displayed as shown in FIG.

Third, if the received log analysis request signal is a signal for requesting classification log analysis of a predetermined product, the web server controller 52 detects it in step 619 and proceeds to step 621. In step 621, the web server controller 52 controls the log DB 56 to extract log information on the classification of the predetermined product, and proceeds to step 621. In step 621, the web server controller 52 controls the log analysis program module 55 to analyze log information of the extracted classification and to process the log information analysis result of the classification into visualization information. For example, when a log analysis request signal for the classification of the "Bakenstock Madrid Sandal" product is detected from the first operator's PC (not shown) and / or the second operator's PC (30), the log DB 56 is stored. "Product Search Page", "External Link", "List of Products of Interest", "Best Seller 50", "Regular Customer Activity", " Initial screen "and the like, and analyze log information on the extracted classification, and log analysis results of the classification to the first operator's PC (not shown) and / or the second operator's PC 30. The visualization is processed as shown in 12.

Fourth, if the received log analysis request signal is a signal for requesting event log analysis of a predetermined product, the web server controller 52 detects it in step 625 and proceeds to step 627. In step 627, the web server controller 52 controls the log DB 56 to extract log information on the event of the predetermined product, and proceeds to step 629. In step 629, the web server control unit 52 controls the log analysis program module 55 to analyze log information on the extracted event and to process the log information analysis result on the event into visualization information. For example, if a log analysis request signal for an event of a "Bakenstock Madrid Sandal" product is detected from the first operator's PC (not shown) and / or the second operator's PC 30, the log DB 56 is stored. From the event DB, a sub-DB of the "BAKEN STOCK Madrid sandals" product DB, the log information for the category "Bags and shoes 2900 won! During summer fashion and devotion!" And "2006 SUMMER BRAND CLEARNESS SALE!" And extracting the log information of the extracted event and analyzing the log information of the event to the first operator manager PC (not shown) and / or the second operator PC 30 as shown in FIG. 13. Process into visualization information to be displayed.

 Fifth, if the received log analysis request signal is a signal for requesting an inflow domain log analysis of a predetermined product, the web server controller 52 detects it in step 631 and proceeds to step 633. In step 633, the web server controller 52 controls the log DB 56 to extract log information on the inflow domain of the predetermined product, and proceeds to step 635. In step 635, the web server controller 52 controls the log analysis program module 55 to analyze log information on the extracted inflow domain and to process the log information analysis result on the inflow domain into visualization information. For example, when a log analysis request signal is detected for the inflow domain of the "Barkenstock Madrid Sandal" product from the first operator PC (not shown) and / or the second operator PC 30, the log DB 56 is detected. "Next = http; // www.daum.net", "Naver = http; // www.naver." com "," Gmarket = http; // www.gmarket.co.kr "and the like, analyze log information on the extracted inflow domain, and analyze the log information analysis result on the inflow domain of the first operator manager PC. (Not shown) and / or the visualization information to be displayed on the second operator PC 30 as shown in FIG.

In addition, if you select the total summary analysis menu according to each of the products in the log analysis web page, log information on the number of visits, log information on page views, log information on keywords, events on all sub-DBs of the product DB The log information for the product, the log information for the product, the log information for the category, the log information for the classification and the log information for the inflow wholesaler, and extract the log information and analyze the log information analysis result and the first operator manager 15 may be processed and provided as visualization information to be displayed on a PC (not shown) and / or the second operator PC 30 as shown in FIG. 15.

Perform a log analysis according to the log analysis request signal and visually process the log analysis result, wherein the visually processed log analysis result is the first operator's manager PC (not shown) and / or the second operator's PC ( 30, the first operator's manager PC (not shown) and / or the second operator's PC 30 displays the visually processed log analysis results as shown in FIGS. 10-15.

3 is a block diagram of a log information analysis system according to a second embodiment of the present invention. Referring to FIG. 3, a system configuration including a separate log analysis server for storing log information for each item and analyzing and processing log information according to a corresponding product to provide log information analysis results will be described. The log information analysis system according to the present invention includes a user PC 10, an Internet network 20, a first operator server 150, a log analysis server 170, and a second operator PC 30.

The user PC 10 is a computer capable of web service (Internet communication) and means a computer operated by a user who uses a web service. A user using a web service operates the user PC 10 to an open market (for example, G market, auction, GS store) or a shopping mall (for example, H Mall, CJ Mall, Woori Home Shopping), which is the first operator. It is possible to check or purchase the goods of a second business that is entered / registered.

The internet network 20 may be a wireless internet network or a wired internet network. The Internet network 20 connects the user PC 10 and the first operator server 150 and the operator of the log analysis server 170 and the second operator PC 30 and / or the first operator server. Connect a PC (not shown). The internet network 20 transmits the web page information request signal generated from the user PC 10 to the first operator server 150 through the above connection and is extracted from the first operator server 150. The web page information is transmitted to the user PC 10. In addition, the log analysis request signal generated in the operator PC (not shown) of the second operator PC 30 and / or the first operator server to the log analysis server 170 and from the log analysis server 170 The visually processed log analysis result information is transmitted to the operator PC (not shown) of the second operator PC 30 and / or the first operator server.

The first operator server 150 includes a communication interface 151, a web server controller 153, a web program module 155, and a web page DB 157.

The communication interface 151 connects to the internet network 20.

The web server controller 153 controls the first operator server as a whole. The log analysis server 170 may be configured to control the administrator administration program for registering (entry) the article on the first operator server to the second operator (registration / entry) and allow log analysis. To be provided). According to a second embodiment of the present invention, the web server controller 153 extracts a web page according to a web page information request signal transmitted from the user PC 10, and extracts the extracted web page from the user PC 10. Control to send to. In addition, the web server controller 153 controls to transmit the extracted web page information to the log analysis server 170 when a web page including detailed information of the corresponding product generated during the web service is extracted.

The web program module 155 performs a function of interworking programs necessary for the web service while the web service is executed and extracting a web page according to the web page information request signal transmitted from the user PC 10. . In addition, a log analysis manager that provides a product sales admin who can register (enter a product) on the first business server under the control of the web server controller 153 to a second business operator (product registration / entry) and allow log analysis. The administration program is provided to the log analysis server 170.

The web page DB 157 stores programs and data for controlling general operations of the first operator server 150. In addition, web pages (web page configuration information) including product information registered from the second company (product registration / entry point) are stored.

The log analysis server 170 includes a communication interface 177, a log analysis server controller 171, a log analysis program module 175, and a log DB 173.

The communication interface 157 performs a function of connecting with the internet network 20.

The log analysis server control unit 171 controls the log analysis server as a whole. When receiving the webpage information including the detailed information of the product generated during the web service from the first operator server 150, by analyzing the webpage information including the detailed information of the received product Extracting the product detail information and tag (TEG) information, and controls to store the log information of the web page in a log DB matching the extracted information. In addition, the log analysis server control unit 171 analyzes the log information according to the log analysis request signal transmitted from the second operator PC 30 and / or the operator PC (not shown) of the first operator server and the analysis result To visually process and transmit it to the operator PC (not shown) of the second operator PC 30 and / or the first operator server.

In the log DB 173, a storage space or a storage location of each product is set. In the storage space or the storage location according to the product, a plurality of items of DB (keyword DB, category DB, classification DB, event DB, inflow wholesaler DB, time DB, etc.) are configured. Further, under the control of the log analysis server controller 171, the log information of the extracted web page is stored in the DB of the corresponding item of the log DB matching the tag information of the extracted web page.

The log analysis program module 175 is controlled by the log analysis server controller 171 when a log analysis request signal is transmitted from the second operator PC 30 and / or an operator PC (not shown) of the first operator server. The log information according to the log analysis request signal is analyzed and the analysis result is visually processed.

The second operator PC 30 is a computer capable of web service (Internet communication), and the second operator operates the second operator PC 30 to open market (eg, G market, auction, GS Store, or a shopping mall (for example, H Mall, CJ Mall, Woori Home Shopping) can enter / register the product. In addition, in order to perform the web service (internet shopping service), the first administrator server 150 is provided with an administrator administration program for registering (entering) an item in the web service.

4 is a flowchart illustrating a log information analysis system according to a second embodiment of the present invention, and FIG. 5 is a flowchart illustrating an operation of storing log information according to an item according to an embodiment of the present invention, and FIGS. 6A-B are diagrams illustrating the present invention. According to an embodiment, a flowchart of an operation of analyzing and processing log information according to a corresponding product is shown.

With reference to FIGS. 4, 5 and 6a-b, a separate log analysis server is provided to store log information for each item, and when a log analysis request is made, the log information is analyzed and processed according to the corresponding product. Describe the system flow it provides. In the following, a second supplier, a product supplier, receives a product selling administration from an open market and / or a shopping mall, which is a first business, and enters / registers the product, and the log analysis server also provides a log analysis administrator. Explain that you have received.

When a user selects a predetermined site among an open market or a shopping mall that is a first business operator while the Internet communication network is connected, the user PC 10 is connected to the first business operator server 150 and the web is connected to the user PC 10. The selected site initial screen is displayed as shown in FIG. 7 (401). The site initial screen provides various menus so that the user can access the product more conveniently. For example, an access menu using keyword input, an access menu using categories, an access menu through events, and / or an access menu through classification.

When the web connection is made and the initial screen is displayed, the user may select a web page, ie, a product detail page, to be accessed by the user using the provided access menus by operating the user PC 10 (403). . When the user selects a predetermined web page, the user PC 10 transmits the selected web page information request signal to the first operator server 150 through the Internet network 20 (405).

The first operator server 150 receiving the selected webpage information request signal from the user PC 10 analyzes the received webpage information request signal to extract the requested webpage information (407) and extracts the requested webpage information. The webpage information is transmitted to the user PC 10 through the Internet network 20 (409). For example, when the user inputs "Trench Coat" as an access menu method by inputting a keyword and requests web page information thereon, the first service provider server 150 is "http://www.market.com/" challenge / neo_search / search_total.asp? keyword = Trench coat is sent to the user's PC 10, and the user can access the "Fashion / Accessories" category, "Women's clothing / underwear" category, "Pants" by the menu access method through the category. / Pants ", select the" Shorts "category menu and request the webpage information about the first service provider server 150" http://www.gmarket.co.kr/challenge/neo_category/html_small_category/small_category_300005886 and .asp? gdsc_cd = 300005886 "to the user PC 10, and when the user selects a classification menu of" Best Seller 50 "as an access menu method through classification and requests web page information on the classification, the first operator server 150 "http://gmarket.com/chal lenge / neo_etc_main / best_seller_list.asp "to the user PC 10, and when the user selects the corresponding event menu by the access menu method through the event and requests web page information on the event menu, the first operator server 150 ) Transmits "http://www.market.com/challenge/neo_sangsul/html_sangsul/plan_display_22078.asp?sid=22078" to the user PC 10.

The user PC 10 analyzes and visualizes the corresponding web page information received from the first operator server 150 and displays it as shown in FIG. 8 (411). Thereafter, the user PC 10 determines whether a signal for terminating the connection with the first operator site is generated (413), and when a termination signal is generated, releases the web connection with the first operator site (415). Otherwise, while repeating the above process, the user arrives at the web page containing the detailed information of the product desired by the user. The illustrated web page information includes tag (TEG) information indicating a path through which a user arrives at a web page including detailed information of the corresponding product.

Meanwhile, the first business server 150 extracts the requested webpage information (407) and transmits the extracted webpage information to the user PC 10 (409). It is determined whether the information is web page information including detailed product information (416), and if the extracted web page information is web page information including detailed product information, the web page information including detailed product information The log analysis server 170 transmits (418).

The log analysis server 170 receiving the web page information including the detailed information of the product from the first operator server 150 analyzes the web page information including the detailed information of the product to the product of the web page The detailed information and tag (TEG) information is extracted, and the log information of the web page is stored in each classification DB configured in the log DB 173 matching the detailed information and tag information of the product (420).

The log analysis server 170 extracts the tag information of the web page including the detailed information of the product and stores the log information of the web page in each classification DB configured in the log DB matching the tag information. 3 and 5, when the webpage information including the detailed information of the product is received, the log analysis server controller 171 includes the detailed information of the product in step 501. The information of the web page is analyzed to extract item information, name information of the product, name information of the product, and information of a second business operator who registers the product and recognize the same. In operation 502, the log analysis server controller 171 controls the log DB 173 to read the product DB corresponding to the recognized product detail information. For example, as a result of analyzing the information of the web page including the detailed information of the product, the item information of the product is "clothes", the name information of the product is "trench coat", and the second business information that registered the product " In the case of Korean apparel, it reads out the “clothes / trench coat / Korean apparel” product DB matching the above information among various product DBs.

In operation 503, the log analysis server controller 171 extracts tag (TEG) information from information of a web page including detailed information of the product.

First, if the extracted tag information is keyword tag information, the log analysis server controller 171 detects it in step 505 and proceeds to step 507. In step 507, the log analysis server controller 171 controls the log DB 173 to read the keyword DB which is a lower item of the read product DB, and to log the log information of the keyword among the web page information to the keyword DB. Save it. For example, "http://www.market.com/challenge/neo_search/search_total.asp?keyword=trench", which is web page information including the product detail information and keyword tag information, from the first operator server 150. Coat ", " keyword = trench coat ", which is log information for a keyword, is stored in the keyword DB, which is a sub-item of the product DB.

Second, if the extracted tag information is category tag information, the log analysis server controller 171 detects it in step 509 and proceeds to step 511. In step 511, the log analysis server control unit 171 controls the log DB 173 to read a category DB which is a sub-item of the read product DB, and sends log information of a category among the web page information to the category DB. Save it. For example, "http://www.gmarket.co.kr/challenge/neo_category/html_small_category/small_category_300005886.asp?", Which is the webpage information including the product detail information and the category tag information from the first operator server 150. When gdsc_cd = 300005886 "is received," gdsc_cd = 300005886 ", which is log information about a category, of the received webpage information is stored in a category DB, which is a lower item of the product DB.

Third, if the extracted tag information is classification tag information, the log analysis server controller 171 detects it in step 513 and proceeds to step 515. In step 515, the log analysis server control unit 171 controls the log DB 173 to read a classification DB which is a lower item of the read product DB, and sends log information on classification of the web page information to the classification DB. Save it. For example, when the webpage information "http://gmarket.co.kr/challenge/neo_etc_main/best_seller_list.asp" including the product detail information and the classification tag information is received from the first operator server 150, The log information "best_seller_list.asp" of the classification of the received web page information is stored in the classification DB which is a sub item of the product DB.

 Fourth, if the extracted tag information is event tag information, the log analysis server controller 171 detects it in step 517 and proceeds to step 519. In step 519, the log analysis server control unit 171 controls the log DB 173 to read an event DB which is a lower item of the read product DB, and sends log information of an event of the web page information to the event DB. Save it. For example, "http://www.gmarket.co.kr/challenge/neo_sangsul/html_sangsul/plan_display_22078.asp?", Which is the webpage information including the product detailed information and the event tag information from the first operator server 150? When sid = 22078 "is received, an event name corresponding to" sid = 2207 ", which is log information of a classification, is stored in the event DB which is a lower item of the product DB.

Fifth, if the extracted tag information is inflow domain tag information, the log analysis server controller 171 detects it in step 521 and proceeds to step 523. In step 523, the log analysis server control unit 171 controls the log DB 173 to read the inflow wholesaler DB, which is a lower item of the read product DB, and the log information of the inflow wholesaler among the webpage information. Store in wholesaler DB. For example, when the webpage information " http: //cafe216.daum.net/_c21_/bbs_read" including the product detailed information and the inflow wholesale tag information is received from the first operator server 150, the received information is received. The name of the inflow wholesaler corresponding to "cafe216.daum.net/_c21_/bbs_read", the log information of the classification of the web page information, is stored in the pre-owned wholesaler DB, which is a sub-item of the product DB.

The log information of the web page is stored in each classification DB configured in the log DB 173 in the above manner, and thereafter, the first business manager PC (not shown) and / or the first business open market or The second operator who has entered / registered the product in the shopping mall is connected to the log analysis server 218 through the operation and / or authentication process of the second operator PC 30 to display a log analysis web page as shown in FIG. 9 ( 422) When a corresponding log analysis menu is selected among the log analysis menus configured in the displayed log analysis web page, a log analysis request signal corresponding to the selected menu is transmitted to the log analysis server 170 (423), and The log analysis server 170 executes log analysis according to the log analysis request signal and visually processes the log analysis result (425), and manages the visually processed log analysis result by the first operator. PC (not shown) and / or the second carrier 2 and sends the PC (30) (427). Here, the log analysis web page includes a category analysis menu, an event analysis menu, a keyword analysis menu, a classification analysis menu, an influent wholesaler analysis menu as well as a comprehensive analysis menu, an hourly analysis menu, a weekly analysis menu, and a weekly analysis menu according to each product. A monthly analysis menu may be provided.

Referring to FIGS. 3 and 6A-B, the log analysis server 170 executes log analysis according to a log analysis request signal and visually processes the log analysis result. The operator manager PC (not shown) and / or the second operator PC 30 and the log analysis service are connected (601), the first operator manager PC (not shown) and / or the second operator PC 30. If a log analysis request signal according to the corresponding log analysis menu is selected from the log analysis server controller 171 detects it in step 603 and proceeds to step 605. In step 605, the log analysis server controller 171 analyzes the received log analysis request signal to analyze any kind of log from the first operator's manager PC (not shown) and / or the second operator's PC 30. Know if this is requested.

First, if the received log analysis request signal is a signal for requesting keyword log analysis of a predetermined product, the log analysis server controller 171 detects this in step 607 and proceeds to step 609. In step 609, the log analysis server controller 171 controls the log DB 173 to extract log information on the keyword of the predetermined product and proceeds to step 611. In step 611, the log analysis server controller 171 controls the log analysis program module 175 to analyze log information on the extracted keyword and to process the log information analysis result on the keyword as visualization information. For example, if a log analysis request signal for a keyword of a "Bakenstock Madrid sandal" product is detected from the first operator's PC (not shown) and / or the second operator's PC (30), it is stored in the log DB 173. From the keyword DB, which is a sub-DB of the "Barkenstock Madrid sandals" product DB, the log information "Baristak", "Slippers", "Barkenstock men's shoes", "Madrid", "Sandals", etc. of the keywords are extracted and extracted. Analyze the log information for the keyword and process the log information analysis result for the keyword into visualization information to be displayed on the first operator manager PC (not shown) and / or the second operator PC 30 as shown in FIG. 10. .

Second, if the received log analysis request signal is a signal for requesting a category log analysis of a predetermined product, the log analysis server controller 171 detects this in step 613 and proceeds to step 615. In step 615, the log analysis server control unit 171 controls the log DB 173 to extract log information for the category of the predetermined product, and proceeds to step 617. In step 617, the log analysis server controller 171 controls the log analysis program module 175 to analyze log information of the extracted category and process the log information analysis result of the category into visualization information. For example, when a log analysis request signal for the category of the "Bakenstock Madrid Sandal" product is detected from the first operator's manager PC (not shown) and / or the second operator's PC 30, it is stored in the log DB 173. From the category DB, a sub-DB of the "Bakenstock Madrid Sandals" product DB, the log information for the category "Fashion / Accessories> Shoes / Bag / Wallet / Belt> Women's shoes> Sandals" and "Fashion / Accessories> Shoes / Bag / Wallet / Belt "and the like, and analyzes log information about the extracted category, and analyzes log information about the category in the first operator's PC (not shown) and / or the second operator's PC 30. It is processed into visualization information so that it is displayed as

Third, if the received log analysis request signal is a signal for requesting classification log analysis of a predetermined product, the log analysis server controller 171 detects it in step 619 and proceeds to step 621. In step 621, the log analysis server control unit 171 controls the log DB 173 to extract log information on the classification of the predetermined product, and proceeds to step 621. In step 621, the log analysis server control unit 171 controls the log analysis program module 175 to analyze log information on the extracted classification and to process the log information analysis result on the classification into visualization information. For example, if a log analysis request signal for the classification of the "Bakenstock Madrid Sandal" goods is detected from the first operator's PC (not shown) and / or the second operator's PC (30), it is stored in the log DB 173. "Product Search Page", "External Link", "List of Products of Interest", "Best Seller 50", "Regular Customer Activity", " Initial screen "and the like, and analyze log information on the extracted classification, and log analysis results of the classification to the first operator's PC (not shown) and / or the second operator's PC 30. The visualization is processed as shown in 12.

Fourth, if the received log analysis request signal is a signal for requesting event log analysis of a predetermined product, the log analysis server controller 171 detects this in step 625 and proceeds to step 627. In step 627, the log analysis server controller 171 controls the log DB 173 to extract log information on the event of the predetermined product and proceeds to step 629. In step 629, the log analysis server control unit 171 controls the log analysis program module 175 to analyze log information on the extracted event and to process the log information analysis result on the event into visualization information. For example, when a log analysis request signal for an event of a "Bakenstock Madrid Sandal" product is detected from the first operator's PC (not shown) and / or the second operator's PC 30, the log DB 173 is stored. From the event DB, a sub-DB of the "BAKEN STOCK Madrid sandals" product DB, the log information for the category "Bags and shoes 2900 won! During summer fashion and devotion!" And "2006 SUMMER BRAND CLEARNESS SALE!" And extract log information on the extracted event, and analyze the log information analysis result of the Inet net to the first operator manager PC (not shown) and / or the second operator PC 30 as shown in FIG. 13. It is processed into visualization information so that it is displayed together.

 Fifth, if the received log analysis request signal is a signal for requesting an inflow domain log analysis of a predetermined product, the log analysis server controller 171 detects this in step 631 and proceeds to step 633. In step 633, the log analysis server controller 171 controls the log DB 173 to extract log information on the inflow domain of the predetermined product and proceeds to step 635. In step 635, the log analysis server controller 171 controls the log analysis program module 175 to analyze log information on the extracted inflow domain and to process the log information analysis result on the inflow domain into visualization information. For example, if a log analysis request signal for an inflow domain of the "Barkenstock Madrid Sandal" goods is detected from the first operator's PC (not shown) and / or the second operator's PC 30, the log DB 173 is input. "Next = http; // www.daum.net", "Naver = http; // www.naver.cam", log information about the inflow domain from the inflow domain DB which is a sub-DB of the stored "Bakenstock Madrid Sandal" product DB "," Gmarket = http; // www.gmarket.ca.kr "and the like, and analyze the log information on the extracted inflow domain, and analyze the log information analysis result on the inflow domain in the first operator manager PC ( Not shown) and / or the second operator PC 30 is processed into visualization information to be displayed as shown in FIG.

Perform a log analysis according to the log analysis request signal and visually process the log analysis result, wherein the visually processed log analysis result is the first operator's manager PC (not shown) and / or the second operator's PC ( 30), the first operator manager PC (not shown) and / or the second operator PC 30 display the visually processed log analysis result as shown in FIGS. 10 to 14 (429). .

Meanwhile, in the detailed description of the present invention, specific embodiments have been described, but various modifications are possible without departing from the scope of the present invention. In particular, the log analysis results when the seller adjusts the shipping cost by applying the shipping cost adjustment DB, image editing DB, price adjustment DB, product name DB and / or photographic technique DB in the present invention, when the image editing is adjusted As a result of the log analysis, the log analysis result when the price adjustment is performed, the log analysis result when the product name is changed, and / or the log analysis result when the photographing technique is changed. Therefore, the present invention should be defined by the claims and their equivalents.

As described in detail above, the present invention stores log information for each item in an open market, a shopping mall server, or a log analysis server, which is a first operator server, and analyzes the stored log information according to a product registered in the first operator server. By providing the result of the analysis to the entry company, which is the first business operator and / or the second business operator that registered the product, the first business operator and / or the second business operator selects through which channels the registered product is selected and the product is selected. It is possible to manage the service (Internet shopping) site more efficiently by knowing the route, etc., which is mainly used for each item, and by visually processing the log analysis result and providing the first and / or second service providers. The effect of increasing convenience is to know the log analysis result more conveniently.

Claims (23)

In the system for analyzing log information, A user's computer (PC) that transmits a webpage information request signal according to a user's request to a first provider server, and receives and displays webpage information according to the webpage information request signal from the first provider server. Wow, Extract web page information according to the web page information request signal received from the user computer (PC) and transmit it to the user computer (PC), and product detail information and tag (TEG) information of the extracted web page information When the extracted log information of the extracted web page is stored in each item database (DB) that matches the product detail information and tag information, and receives a log analysis request signal from the first operator or second operator computer (PC) According to the log analysis request signal, the log information of the corresponding product stored in each item database (DB) is analyzed, and the log information analysis result of the corresponding product to the computer (PC) of the first or second operator A server of the first provider to transmit, And transmitting a log analysis request signal to the first service provider server and receiving the log information analysis result from the first service provider server. Log information analysis system characterized in that. The log information analysis system of claim 1, wherein the first operator server extracts tag information of the extracted web page when the extracted web page includes product detail information. The log information analysis system of claim 1, wherein the first operator server has a storage space set according to each product information and at least one item database DB is provided in the storage space according to the product information. . 4. The method of claim 3, wherein the at least one item database (DB) comprises a keyword database (DB), a category database (DB), a classification database (DB), an event database (DB) and an influx wholesaler database (DB). Log information analysis system characterized in that. The log information analysis system of claim 1, wherein the first operator server processes and transmits the log analysis result visually. The log information analysis system according to claim 1, wherein the first operator is an open market and the second operator is a store company that registers a product with the first operator. The log information analysis of claim 1, wherein the log information includes log information on a keyword, log information on a category, log information on a classification, log information on an event, or log information on an inflow wholesaler. system. In the system for analyzing log information, A user's computer (PC) that transmits a webpage information request signal according to a user's request to a first provider server, and receives and displays webpage information according to the webpage information request signal from the first provider server. Wow, Extract the webpage information according to the webpage information request signal received from the user's computer (PC) and transmit it to the user's computer (PC), and if the extracted webpage information includes product detail information A server of a first operator for transmitting the extracted web page information to a log analysis server; Receiving the extracted web page information from the server of the first operator, the item detail information and tag (TEG) information is extracted from the received web page information, each item database matching the product detail information and tag information (B) storing corresponding log information of the received web page, and receiving a log analysis request signal from a first business operator or a second business operator computer (PC), in response to the log analysis request signal. A log analysis server for analyzing log information of the corresponding product stored in the DB) and transmitting the log information analysis result of the corresponding product to a computer (PC) of the first or second operator; And a computer (PC) of a first operator or a second operator visually displaying a log analysis request signal to the log analysis server and receiving the log information analysis result from the log analysis server. Log information analysis system. 9. The log information analysis system of claim 8, wherein the log analysis server has a storage space set according to each product information and at least one item database (DB) is provided in the storage space according to the product information. 10. The method of claim 9, wherein the at least one item database (DB) comprises a keyword database (DB), a category database (DB), a classification database (DB), an event database (DB) and an influx wholesaler database (DB). Log information analysis system characterized in that. The log information analysis system of claim 8, wherein the log analysis server processes and transmits the log analysis result to be visually expressed. The system of claim 8, wherein the first operator is an open market and the second operator is a store company that registers a product with the first operator. The log information analysis of claim 8, wherein the log information includes log information on a keyword, log information on a category, log information on a classification, log information on an event, or log information on an inflow wholesaler. system. In the method of analyzing the log information in the operator server, When the web page information request signal is received from the user's computer (PC), extracting web page information according to the received web page information request signal; Extracting product detail information and tag (TEG) information from the extracted web page information, and storing log information of the extracted web page in each item database (DB) matching the product detail information and tag information; Upon receiving the log analysis request signal from the first or second business operator, the log information of the corresponding product stored in each item database DB is analyzed according to the log analysis request signal, and the log information analysis result of the corresponding product. Log information analysis method comprising the step of transmitting to the first operator or the second operator. The method of claim 14, wherein the extracting the product detail information and the tag information from the extracted web page information comprises: Determining whether the extracted product page information includes the product detail information; And extracting tag information of the extracted web page when the extracted web page information includes the product detail information. 15. The method of claim 14, wherein the item database (DB) comprises a keyword database (DB), a category database (DB), a classification database (DB), an event database (DB) and an influx wholesaler database (DB). How to analyze log information. 15. The method of claim 14, further comprising the step of processing to visually express the log information analysis result of the product. 15. The method of claim 14, wherein the first operator is an open market and the second operator is a store company that registers a product with the first operator. The log information analysis of claim 14, wherein the log information includes log information on a keyword, log information on a category, log information on a classification, log information on an event, or log information on an inflow wholesaler. Way. In the method of analyzing log information in the operator server and log analysis server, Extracting, by the first operator server, corresponding web page information at the request of a user, and determining whether the extracted web page information includes the product detail information; Transmitting the extracted web page information to the log analysis server when the extracted web page information includes the product detail information; When the log analysis server receives the extracted web page information, each item database (DB) extracts product detail information and tag information from the received web page information and matches the product detail information and tag information. Storing log information of the received web page at When the log analysis request signal is received from the first or second business operator, the log analysis server analyzes log information of the corresponding product stored in each item database DB according to the log analysis request signal, and the corresponding product. The log information analysis method comprising the step of transmitting the log information analysis result of the first or second provider. 21. The method of claim 20, wherein the item database (DB) comprises a keyword database (DB), a category database (DB), a classification database (DB), an event database (DB) and an influx wholesaler database (DB). How to analyze log information. 21. The method of claim 20, further comprising the step of processing to visually express the log information analysis result of the product. The log information analysis of claim 20, wherein the log information includes log information on a keyword, log information on a category, log information on a classification, log information on an event, or log information on an inflow wholesaler. Way.

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