JP2005189942A - Method and system for totaling web site access condition and its program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To quickly total and clarify a series of individual access conditions to a Web site, and to quickly discover and solve the problem of the Web site. <P>SOLUTION: This method for totaling and displaying the access conditions of a Web site configured of a plurality of Web pages is configured to record a Web page to be accessed in a Web site and an access log including the access date by issuing a specific identification number for each access person, and adding the identification number to the access log, and recording it for one record (St1 to 4), and to collect the access log at predetermined timing (St5), and to extract a record having the identical identification number from the access log, and to prepare traffic line data showing the series of page access transition conditions of an access person to the plurality of Web pages in the Web site for each identification number based on the records (St6 to 8), and to total the access conditions of the Web site by making the access conditions capable of being displayed by using the traffic line data as the target of totaling (St9 to 11). <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a Web site access status counting method, system, and program, and more particularly, from a Web server that assigns a specific identification number to the accessor and records the access log when accessing the Web site. In particular, the present invention relates to a technique for collecting and collecting as a flow line data indicating a series of access statuses for each identical identification number and displaying the result of the aggregation.

  In general, when managing a Web site, there is a request for grasping the actual state of access and identifying problems and implementing improvement measures in a shorter time. However, there are the following problems at present.

  1) The access log of the Web server is generally recorded on the Web server, but specialized knowledge is required for understanding the contents, and not everyone can handle the access log.

  2) Since the contents of the access logs of the Web server are large and it is not easy to understand the contents, it takes a lot of time to aggregate the access logs, and the discovery and improvement of the problems are delayed, resulting in an opportunity loss.

  3) Since the access log of the Web server is usually based on human judgment using general spreadsheet software, a human error occurs, and the quality of the total result depends on the skill level of the worker. There will be a difference.

  4) The method for evaluating a website without using the access log of the web server is to use the access log of the web server in terms of introduction and operation, such as modifying the website or using special hardware. It costs more than the method used.

As a conventional improvement measure for the above problem, a website management system has been proposed in which an access log of a website is analyzed under a predetermined condition so that the analysis information can be browsed (see Patent Document 1). ). According to this system, in a system for storing an access log when a Web server connected via a communication network is accessed and creating management information for the Web site from the access log, Only necessary access logs are extracted and stored in a database, and the access logs on the database are analyzed under predetermined conditions, and website management information such as access count by time zone, access count ranking, ranking by file, link source You can create rankings and view management information.
JP 2002-328863 A

  However, although the conventional access log counting method of a website can summarize the rough access status for each time zone or each page, the detailed access status for each individual is not taken into consideration, and therefore the website is not considered. A series of access transitions (browsing patterns) for each individual, such as which Web page the person who accesses the site first accesses from which Web page changes, and which Web page finally leaves. It was difficult to compile and clarify information about this in a short time.

  An object of the present invention is to aggregate and clarify a series of access situations for each individual person to a Web site in a short time, and to quickly find and improve problems on the Web site.

  The present invention makes it possible to clarify the access status for each individual by using the access logs of generally collected Web sites as basic information without using a special method on the Web server, and counting them and displaying the total results. To do.

  For this purpose, for example, the following processing means (processing steps) are provided.

  1) Processing means for clarifying the access status for each individual, specifically, a Web server program issues a unique personal identification number to a website visitor, and at the same time, the personal identification number is stored in an access log. And a processing means for extracting the same personal identification number from the access log and clarifying the access status for each individual.

  2) In addition, a calculation means using indexes such as the number of withdrawals and the withdrawal rate of each page is provided.

  The number of departures is obtained by a calculation formula of <number of departures of the page> = <number of accesses of the page> − <number of pages called from other pages in the same Web site>.

  The exit rate is obtained by a calculation formula of exit rate of the page> = <number of exits of the page> / <number of accesses of the page>.

  3) Further, the following aggregation means is provided.

a) Aggregation means (multiple designation is possible) that performs only the data of the flow line including a specific page in a series of accesses for each individual (hereinafter referred to as “flow line”).
b) Aggregating means (multiple designations are possible) that perform only the data of the flow line that does not include a specific page in the flow line as an aggregation target.
c) Aggregating means for defining access of a plurality of pages as a group, and performing only the data of a flow line including a specific group in the flow line as an aggregation target (multiple designation is possible).

  d) Aggregating means that defines access of a plurality of pages as a group, and aggregates only data of a flow line that does not include a specific group in the flow line (multiple designation is possible).

  e) If the same page is accessed after time, a virtual flow line that does not include the page in the flow line is defined, and the virtual flow line is used as a base for aggregation. The flow line is a tabulation means that displays the result of the roll-up on the actual flow line when displaying the result.

  f) Aggregating means for arbitrarily specifying whether a specific page or a specific group is included or not included in the start point, intermediate point, and end point in the actual flow line and the virtual flow line (multiple intermediate points are specified) Possible).

  4) When counting and displaying the counting results, the counting result viewer can arbitrarily select the “specific page designation, exclusion, grouping of multiple pages, exclusion of duplicate browsing pages”, “date and time”, etc., to be counted Designated and provided with means for instantly displaying the results of the current time (including the fixed period up to the current time) as well as the total result of the access status of the past (including the fixed period).

  The present invention has been completed based on such an idea.

  In other words, the Web site access status totaling method according to the first aspect of the present invention is a method for counting the access status of a Web site composed of a plurality of Web pages and displaying the total result. When recording an access log including a web page accessed and its access date and time, a log record is issued for each record by issuing a specific identification number for each accessor and adding the identification number to the access log A log collection step for collecting the access log in which the identification number is recorded at a predetermined timing; and a record having the same identification number is extracted from the collected access log, and the extracted record is Based on a series of page accesses of the accessor to a plurality of Web pages in the Web site. A flow line creation step for creating flow line data indicating the transition status of each session for each identification number; and a counting step for totalizing the access status of the website so as to be displayed using the created flow line data as an aggregation target; It is characterized by having.

In the web site access status tabulation method according to the second aspect of the present invention, the tabulation step sets the number of accesses to the web page for each web page of the website with the flow line data as a subject of tabulation. X, where Y is the number of times the Web page has been called from other Web pages of the Web site, and Z1 and Z2 are the number of departures from the Web page and the rate of departure, respectively. Withdrawal rate Z2
Z1 = XY
Z2 = Z1 / X,
It has the step which calculates | requires by each calculation formula.

  In the website access status tabulation method according to the third aspect of the present invention, the tabulation step includes a step of designating a specific web page among a plurality of web pages accessible on the website; And aggregating the access status of the website with respect to only the flow line data including access to the specified specific web page among the line data.

  In the website access status aggregation method according to the fourth aspect of the present invention, the aggregation step includes: a page designation step for designating a specific web page among a plurality of web pages accessible on the website; And aggregating the access status of the Web site only for the flow line data that does not include access to the specified specific Web page among the flow line data.

  In the Web site access status tabulating method according to the fifth aspect of the present invention, the page specifying step specifies a plurality of Web pages.

  In the Web site access status totaling method according to the sixth aspect of the present invention, the totaling step specifies two or more Web pages as a specific group among a plurality of Web pages accessible on the Web site. A group designating step, and a step of aggregating the access status of the Web site only for the flow line data including access to the specified specific group among the flow line data. And

  In the website access status tabulation method according to the seventh aspect of the present invention, the tabulation step designates two or more web pages as a specific group among a plurality of web pages accessible on the website. A group specifying step, and a step of counting the access status of the website by counting only the flow line data that does not include access to the specified specific group among the flow line data. Features.

  In the Web site access status counting method according to the eighth aspect of the present invention, the group specifying step specifies a plurality of groups.

  In the Web site access status totaling method according to the ninth aspect of the present invention, the totaling step includes a case where access to the same Web page is redundantly included in a plurality of records forming the flow line data. There is a step of counting the access status of the Web site only for virtual flow line data excluding the same Web page accessed later in time.

  In the web site access status totaling method according to the tenth aspect of the present invention, the totaling step is excluded from the virtual flow line data when displaying the total result based on the virtual flow line data. And developing actual flow line data including the same Web page.

  In the web site access status totaling method according to the eleventh aspect of the present invention, the totaling step includes a Web page specific to a start point, an intermediate point, and an end point of the actual flow line data and the virtual flow line data. The step of arbitrarily specifying whether or not a specific group is included, and the actual flow line data and the virtual flow line data satisfying the condition among the actual flow line data and the virtual flow line data It has the step which totals so that an access condition can be displayed.

  In the Web site access status counting method according to the twelfth aspect of the present invention, a plurality of intermediate points can be specified.

  A website access status counting system according to a thirteenth aspect of the present invention is a system for counting the access status of a website composed of a plurality of Web pages and displaying the counting result. When recording an access log including a web page accessed and its access date and time, a log record is issued for each record by issuing a specific identification number for each accessor and adding the identification number to the access log Means, a log collection means for collecting the access log in which the identification number is recorded at a predetermined timing, and a record having the same identification number is extracted from the collected access log, and the extracted record is Based on a series of page accesses of the accessor to a plurality of Web pages in the Web site. Flow line creation means for creating the flow line data indicating the transition status of each of the identification numbers; and a counting means for counting the created flow line data to be aggregated so that the access status of the website can be displayed. It is characterized by having.

  A program according to the fourteenth aspect of the present invention is a program for counting the access status of a website composed of a plurality of web pages and displaying the count result, and is accessed on the website. When recording an access log including a web page and its access date and time, a log recording step for issuing a specific identification number for each accessor and recording the identification number for each record in addition to the access log; A log collection step for collecting the access log in which the identification number is recorded at a predetermined timing; and a record having the same identification number is extracted from the collected access log, and based on the extracted record, the Transition status of a series of page accesses of the accessor for a plurality of Web pages in the Web site Causing the computer to execute a flow line creating step for creating the flow line data to be shown for each identification number and a counting step for counting the created flow line data to be aggregated so that the access status of the website can be displayed. Is for.

  According to the present invention, the following effects can be obtained.

  1) “Looking at the transition of page access for each person” or “Specifying specific pages on the website, excluding them, grouping multiple pages, excluding duplicate browsing pages, and the date and time that have taken a lot of time so far It is also possible to see the results within a short period of time for “aggregation by arbitrarily designating etc.”. As a result, it is possible to quickly find and improve problems on the website and prevent loss of opportunity.

  2) The settings at the time of aggregation (for example, “specification and exclusion of specific pages on the website, grouping of multiple pages, exclusion of duplicate browsing pages”, “date and time”, etc.) particularly hold computer expertise. Even if it is not necessary, it can be easily performed on a Web browser, and the totaling result can be viewed in a short time, so that it is possible to continuously count from various points of view. As a result, it is possible to efficiently discover and improve the problem of the Web site at a minimum cost.

  DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a best mode for implementing a web site access status counting method, a counting system, and a program according to the present invention will be described with reference to FIGS.

  FIG. 1 is a conceptual diagram showing each element constituting the Web site access status totaling system according to this embodiment and the relationship between each element. The aggregation system shown in FIG. 1 includes a Web (also called “WWW (World Wide Web)”) server machine 100, an aggregation server machine 200, an aggregation instructor machine 300, and an aggregation result viewer machine 400. Each of these machines 100 to 400 is based on a communication protocol group (including HTTP (HyperText Transport Protocol), FTP (File Transfer Protocol), etc.) constructed based on TCP / IP (Transmission Control Protocol / Internet Protocol). They are connected to each other via the Internet 500 so that they can communicate with each other.

  The Web server machine 100 can be applied to any type as long as it is a computer machine such as a general-purpose PC (personal computer) having a function capable of publishing a Web site on the Internet 500. In addition to a CPU connected to the internal bus, a memory (ROM / RAM), a storage device such as a hard disk, an input device such as a keyboard / mouse, a display such as a CRT / liquid crystal display device, a LAN interface connectable to the Internet 500, etc. It is composed of known elements based on a computer architecture, such as a communication interface.

  The Web server machine 100 includes, as software executed by the operation of the computer (CPU), an OS (operating system) such as UNIX (not shown) and various applications (control programs and programs running on the OS). Control data). For various applications, in addition to a communication protocol group compliant with TCP / IP, as shown in FIG. 1, a Web server program 110 and a predetermined that can be viewed (accessed) via the Internet under the control of the Web server program 110. An analysis target website 120 composed of a plurality of Web pages (hereinafter simply referred to as “pages”) in a file format described in a markup description language (for example, HTML (HyperText Markup Language) or XML (eXtensible Markup Language)) , An access log (log file) 130 in which information related to the access (date, time, accessed page, etc.) is recorded in time series for each record when the analysis target website 120 is accessed is included.

  In addition to the function of recording the normal access log 130, the Web server program 110 assigns a specific identification number (ID) to the accessor (host) when accessing the Web site 120, and assigns the ID to the access log. A function of adding and recording in the corresponding record of 130 (forms a program for causing the computer of the Web server machine 100 to execute the log recording step and means of the present invention) is included. As an example, this function can be realized by incorporating a known “mod_usertrack” as an additional module (program) when the web server program 110 is configured by a known “Apache”. As a result, in “Apache”, a unique identification number is assigned to the accessing host using a cookie, session management is performed, and the identification number is added to the access log and output. The validity period of the identification number for each individual assigned here can be arbitrarily set. The present invention is not limited to this, and any configuration can be applied as long as the same function can be realized.

  The aggregation server machine 200 is configured by a computer machine such as a PC similar to the Web server machine 100 described above, for example, as software executed by the operation of the computer, for example, an OS, and various applications operating on the OS. Have For various applications, a log collection program that collects the access log 130 from the Web server machine 100 via the Internet 500 at a predetermined timing (for example, download using FTP) (the log collection step and means of the present invention is a total server) 210, a totaling database 220 that stores the collected access logs 130, and a totaling program 230 that analyzes and totals the access logs 130 stored in the totaling database 220. , Described in a Web server program 240 similar to that described above, and a predetermined markup description language (for example, HTML or XML) accessible via the Internet using HTTP under the control of the Web server program 110 And a summary Web site 250 consisting of a plurality of Web pages to be. Among these, the aggregation database 220, the aggregation program 230, and the aggregation Web site 250 form the main part of a program for causing the computer of the aggregation server machine 200 to execute the flow line creation / aggregation step and means of the present invention. .

  The aggregation instructor machine 300 is configured by a computer machine such as a PC similar to the Web server machine 100 described above, and operates on the OS in addition to the OS, for example, as software executed by the operation of the computer. Various applications are implemented. The various applications include a web browser 310 that accesses the aggregation Web site 250 of the aggregation server machine 200 and browses the aggregation instruction and the aggregation result browsing screen 320 constituted by the pages.

  The summary result viewer machine 400 is configured by a computer machine such as a PC similar to the above-described Web server machine 100 in the same manner as the summary instructor machine 300. In addition to the OS, the software is executed by the operation of the computer. Various applications that run on the OS are mounted. The various applications include a web browser 410 that accesses the aggregation Web site 250 of the aggregation server machine 200 and browses the aggregation instruction and the aggregation result browsing screen 420 constituted by the pages.

  In the example shown in FIG. 1, the access log 130 is on the Web server machine 100. However, in the present invention, the storage location of the access log 130 does not matter. In the example illustrated in FIG. 1, the software may exist in the four machines 100 to 400 regardless of the location of the software, and may exist in the same server (hardware), for example. In the example shown in FIG. 1, the aggregation database 220 is on the aggregation server machine 200, but the storage location of the aggregation database 220 is not limited in the present invention. Further, in the example shown in FIG. 1, the Web server machine 100, the aggregation server machine 200, the aggregation instructor machine 300, and the aggregation result viewer machine 400 are connected via the Internet 500. Any type of communication medium (such as a LAN, WAN, or communication network) may be used as long as communication is possible using communication means.

  Next, the overall operation flow of the present embodiment will be described with reference to FIGS.

  First, on the Web server machine 100 side, an initial setting for assigning a unique identification number to an access person to the analysis target website 120 and outputting the identification number to the access log 130 is performed on the Web server program 110. (Step S1). For example, in the above-described example, when the Web server program 110 is configured with a known “Apache”, the initial setting is performed by incorporating a known “mod_usertrack” as an additional module.

  Next, on the aggregation instructor machine 300 side, the aggregation Web site 250 on the aggregation server machine 200 side is accessed from the Web browser 310 via the Internet 500, and on the aggregation instruction and aggregation result browsing screen 420 configured by each page. Then, each setting such as registration of the aggregation site 250, start of aggregation, and aggregation timing is set for the aggregation program 230, and registration of a person who can view the aggregation results and setting of access authority are performed (step S2). For example, the aggregation timing can be set arbitrarily, such as regularly or at a predetermined timing.

  Next, the Web server machine 100 publishes the analysis target Web site 120 by the Web server program 110 (step S3). Hereinafter, for the sake of simplicity, for the sake of convenience, it is assumed that the analysis target website 120 includes four pages in the HTML (or XML) file format illustrated in FIG. 3, that is, pages a to d. In the example of FIG. 3, page a is a home page (top page), pages b to c are pages that are linked so that they can be called from page a, and pages d are linked so that they can be called from page b. And

  Next, on the Web server machine 100 side, when a page of the disclosed analysis target website 120 is accessed, the Web server program 110 stores the access log 130 related to the page access in accordance with the above-described initial setting (step S2). (Step S4). An example of the access log 130 stored here is shown in FIG.

  FIG. 4A is a configuration example of a normal access log 130. One record of the normal access log 130 shown in this example is composed of fields (data items) such as “date”, “time”, and “page accessed”. In this case, information identifying who accessed is not output. On the other hand, FIG. 4B is a configuration example of the access log 130 used in the present invention. In one record of the access log 130 shown in this example, in addition to the above fields (“date”, “time”, “accessed page”, etc.), a “personal identification number (ID) for identifying who has accessed it” ) "Field is added. The validity period of the “personal identification number” can be arbitrarily set.

  Next, on the total server machine 200 side, the log collection program 210 collects the access log 130 on the Web server machine 100 side as needed via the Internet 500 periodically or at any timing based on the set collection timing ( For example, it is downloaded using FTP) and stored in the total database 220 (step S5). FIG. 5A shows an example of the raw access log 130 collected from the Web server machine 100. In this example, the personal identification number between 13:00 and 13:07 (hours) on September 11 (date) for the analysis target website 120 composed of pages a to d shown in FIG. A case where three accessers assigned “111111”, “222222”, and “333333” access any of the pages is shown.

  Next, on the aggregation server machine 200 side, the accumulated access log 130 is aggregated by the aggregation program 230, and the aggregation results are accumulated in the aggregation database 220 as basic data for analysis (result browsing with a condition search function) (step) S6).

  Next, on the aggregation server machine 200 side, the aggregation program 230 extracts a record having the same personal identification number from the basic data of the aggregation database 220, and the individual for the page in the analysis target website 120 is extracted from the extracted record. Aggregation of flow line data indicating the transition status (browsing pattern) of a series of page accesses for each series is performed (step S7). FIGS. 5B to 5D show examples of flow line data for each individual created using the access log 130 shown in FIG. 5A as the base data. 5B is flow line data of the personal identification number “111111”, FIG. 5C is flow line data of the personal identification number “222222”, and FIG. 5D is flow line data of the personal identification number “333333”. Respectively. These flow line data are stored in the summary database 220.

  FIG. 6 excludes “actual flow line data” indicating the transition status of actual page access, and duplicate browsing pages accessed later in time as flow line data aggregated in this way. This is a description of “virtual flow line data” indicating the transition status of virtual page access.

  In FIG. 6, an accessor with a certain personal identification number accesses page a in the website 120 at time t1 (starting page), and then goes to page b, page d, page b, page a at times t2 to t5. A transition (intermediate point page), transition to page c and exit at time t6 (end point page = leaving page), shows a transition status of a series of page accesses. In this example, pages b to a accessed at times t4 and t5 have been accessed once at previous times t1 and t2, and are duplicated browsing pages. Therefore, by excluding the duplicate browsing page, virtual flow line data, that is, page a (start point) to page b and page d (intermediate point) to page c (end point) are created.

  Next, on the aggregation server machine 200 side, the aggregation program 230 totals the number of withdrawals and the withdrawal rate as an index indicating the access status in the analysis target website 120 from the basic data of the aggregation database 220 (step S8).

In this aggregation, flow line data for each individual is subject to aggregation. For each page of the website 120, the number of accesses to the page is X, the number of times the page is called from other pages of the website is Y, When the number of detachment and the detachment rate are Z1 and Z2, respectively, the detachment number Z1 of the page and the detachment rate Z2 are
Z1 = XY
Z2 = Z1 / X,
(The separation rate Z2 may be expressed as a percentage [%]). An example of this is shown in FIG. FIG. 7A is an example of flow line data to be aggregated, and FIG. 7B is the flow line data shown in FIG. 7A, which is called from the number of accesses X and other pages for each page. Based on the number Y, the number of departures Z1 (= XY) and the separation rate Z2 (= Z1 / X) are tabulated (the separation rate is expressed in fractions for convenience).

  Next, the aggregation instructor machine side 300 accesses the aggregation Web site 250 on the aggregation server machine 200 side from the Web browser 310 via the Internet 500 at any timing after the aggregation starts, and the aggregation instruction and the aggregation result browsing. Information such as the date and time for browsing the tabulation result on the screen 320 and the page to be tabulated is selected or input, and a tabulation instruction is issued (step S9).

  Next, on the aggregation server machine 200 side, according to the information (aggregation instruction) such as the date and time input and the aggregation target pages input by the aggregation program 230, the above-described flow line data and the number of departures of each page are calculated from the basic data of the aggregation database 220. Then, information such as the leaving rate (including the number of accesses for each page and the reference source page information as necessary) is extracted, and the ranking is also calculated (step S10). In this case, data that matches the condition is extracted from the data of the raw access log 130 collected from the Web server machine 100 using the information selected or input by the tabulation result viewer as a key (extraction condition), and the extracted data The aggregation result is stored in the aggregation database 220.

  Next, the aggregation server machine 200 sends the aggregation result to the aggregation website 250 by the aggregation program 230, and the aggregation instructor machine 300 displays the aggregation result on the aggregation result browsing screen 320 on the Web browser 310. (Step S11). The total result can be referred to through the total result browsing screen 410 on the Web browser 410 even on the total result browser 400 that does not give a total instruction. In addition, the tabulation results can be displayed not only on the tabulation result browsing screens 320 and 420 but also by printer printing using a reporting function (not shown).

  8 to 15 show display examples of the total results (ranking totals).

  FIG. 8A shows a display example of a totaling result when all virtual flow line data in the analysis target website 120 are selected and designated and set as a totaling target, and FIG. 8B shows the totaling result. Display examples in the case where actual flow line data including duplicate pages excluded from virtual flow line data are expanded at the time of the display are shown. In this example, the virtual flow line data with the highest aggregation order is page a (start point) to page b (end point), and actual flow line data corresponding to this is expanded into, for example, four browsing patterns. Among them, the one with the highest totalization order is indicated as page a (start point) to page b (end point). In addition, it is also possible to display the total result of only actual flow line data instead of virtual flow line data.

  FIG. 9 is a table for selecting and specifying virtual flow line data including page access (see the underlined portion in the figure) to “c page” designated as a specific page in the example of FIG. A display example of the result of counting in the case of the above is shown. In this example, it is shown that the virtual flow line data having the highest aggregation order is from page a (start point) to page c (end point). In this example, one specific page is specified, but a plurality of specific pages may be specified.

  In contrast to the example of FIG. 9, FIG. 10 shows the summation when virtual flow line data not including page access to “c page” designated as a specific page is selected and designated as the subject of aggregation. A display example of the result is shown. In this example, it is shown that the virtual flow line data having the highest aggregation order is from page a (start point) to page b (end point). In this example, one specific page is specified, but a plurality of specific pages may be specified.

  FIG. 11 shows virtual flow line data including page access (see the underlined portion in the figure) of “a page to b page” designated as a specific group including two or more pages in the example of FIG. A display example of the counting result when selecting and instructing to be counted is shown. In this example, it is shown that the virtual flow line data having the highest aggregation order is from page a (start point) to page c (end point). In this example, one specific group is specified, but a plurality of specific groups may be specified.

  In contrast to the example of FIG. 11, FIG. 12 selects and designates virtual flow line data not including page access of “page a to page b” designated as a specific group including two or more pages. A display example of the totaling result when it is set as the target of aggregation is shown. In this example, it is shown that the virtual flow line data having the highest aggregation order is the a page (start point, end point). In this example, one specific group is specified, but a plurality of specific groups may be specified.

  FIG. 13 shows an example of FIG. 8, in which virtual flow line data including page access (see the underlined portion in the figure) to “a page” designated as a specific page at the start point is selected and designated and totaled. A display example of the aggregation result when it is targeted is shown. In this example, it is shown that the virtual flow line data having the highest aggregation order is from page a (start point) to page b (end point). In this case, the flow line data that does not include a specific page at the start point can also be set as the aggregation target.

  14 selects and indicates virtual flow line data including page access (see the underlined portion in the figure) to “a page” designated as a specific page at the intermediate point in the example of FIG. The example of a display of a total result at the time of making it a total object is shown. In this example, it is shown that the virtual flow line data having the highest aggregation order is from page c (start point) to page a (intermediate point) to page b (end point). In this example, one intermediate point page is specified, but two or more pages may be specified. It is also possible to set flow line data that does not include a specific page at an intermediate point as a target of aggregation.

  15 selects and indicates virtual flow line data including page access (see the underlined portion in the figure) to “page a” designated as a specific page at the end point in the example of FIG. A display example of the aggregation result when it is targeted is shown. In this example, it is shown that the virtual flow line data having the highest aggregation order is from page b (start point) to page a (end point). In this case, the flow line data that does not include a specific page at the end point can be set as the aggregation target.

  Moreover, you may designate a total object using the combination of any 2 or more of said FIG. 9 ~ FIG. In addition, the total result may be displayed using a graph that is easy for the viewer to easily recognize.

  Therefore, according to the present embodiment, the following effects can be obtained.

  1) “Looking at the transition of page access for each person” or “Specifying specific pages on the website, excluding them, grouping multiple pages, excluding duplicate browsing pages, and the date and time that have taken a lot of time so far It is also possible to see the results within a short period of time for “aggregation by arbitrarily designating etc.”. As a result, it is possible to quickly find and improve problems on the website and prevent loss of opportunity.

  2) The settings at the time of aggregation (“specification and exclusion of specific pages on the website, grouping of multiple pages, exclusion of duplicate browsing pages”, “date and time”, etc.) do not particularly require computer expertise. Since it can be easily performed on a Web browser and the counting result can be viewed in a short time, it can be continuously counted from various points of view. Therefore, it is possible to efficiently discover and improve the problem of the website at a minimum cost.

  As another embodiment of the present invention, a part or all of the functions for realizing the functions of the present invention are realized by hardware, or the servers are connected by a communication medium other than the Internet. Even if the functions of the present invention are realized by a function other than a Web server and a Web browser, all are applicable as long as they do not depart from the spirit of the present invention.

It is a schematic block diagram which shows the whole structure of the total system of a web site access condition (Example). It is a schematic flowchart explaining the whole operation | movement of the total system of the website access condition shown in FIG. It is a figure explaining the example of a page structure in the analysis object Web site shown in FIG. FIGS. 2A and 2B are diagrams for explaining an example of a record structure of the access log shown in FIG. 1. FIG. 1A shows a case of a normal access log, and FIG. 1B shows a case of an access log used in the present invention. (A) is a figure which shows the example of the raw access log extract | collected from the web server machine, (b)-(d) is a figure which shows the example of the flow line data for every person produced based on this access log It is. It is a figure explaining actual flow line data and virtual flow line data. (A) And (b) is a figure explaining the example of the number of detachment | leaves and the detachment | leave rate of each page totaled by making flow line data into a total object. (A) is a figure which shows the total result of virtual flow line data at the time of making all the flow line data in a website into a total object, (b) is the implementation expanded from this virtual flow line data. It is a figure which shows the total result of flow line data. It is a figure which shows the total result at the time of making the virtual flow line data containing a specific page into a total object. It is a figure which shows the total result at the time of making the virtual flow line data which does not contain a specific page into a total object. It is a figure which shows the total result at the time of making virtual flow line data containing a specific group into a total object. It is a figure which shows the total result at the time of making the virtual flow line data which does not contain a specific group into a total object. It is a figure which shows the tabulation result when the virtual flow line data including a specific page at the start point is the subject of tabulation. It is a figure which shows the total result at the time of making the virtual flow line data which contain a specific page in an intermediate point into a total object. It is a figure which shows the tabulation result when the virtual flow line data including a specific page at the end point is set as the tabulation target.

Explanation of symbols

100 Web server machine 110 Web server program 120 Analysis target website 130 Access log 200 Total server machine 210 Log collection program 220 Total database 230 Total program 240 Web server program 250 Total Web site 300 Total supporter machine 310 Web browser 320 Total instruction And tabulation result browsing screen 400 tabulation result viewer machine 410 Web browser 420 tabulation result browsing screen

Claims (14)

A method of counting the access status of a website composed of a plurality of web pages and displaying the counting result,
When recording an access log including a web page accessed on the website and its access date and time, a specific identification number is issued for each visitor, and the identification number is added to the access log and recorded for each record. Logging step to
A log collecting step for collecting the access log in which the identification number is recorded at a predetermined timing;
A record having the same identification number is extracted from the collected access logs, and a transition status of a series of page accesses of the accessor for a plurality of Web pages in the Web site is determined based on the extracted records. A flow line creation step for creating flow line data for each identification number;
And a totaling step of totalizing the generated flow line data as a target of aggregation so that the access status of the Web site can be displayed. The counting step includes
Using the flow line data as an aggregation target, the number of accesses to the web page for each web page of the website is X,
Y is the number of times the web page was called from another web page of the website.
When the number of withdrawals of the Web page and its withdrawal rate are Z1 and Z2, respectively.
The number of withdrawals Z1 of the web page and its withdrawal rate Z2
Z1 = XY
Z2 = Z1 / X,
2. The web site access status totaling method according to claim 1, further comprising the step of obtaining each of the following formulas. The counting step includes
Designating a specific Web page among a plurality of Web pages accessible on the Web site;
And a step of aggregating the access status of the Web site only for the flow line data including access to the specified specific Web page among the flow line data. A method of counting Web site access statuses according to 1 or 2. The counting step includes
A page designating step of designating a specific web page among a plurality of web pages accessible on the web site;
A step of counting the access status of the Web site only for the flow line data that does not include access to the specified specific Web page in the flow line data. Item 4. The method of counting Web site access status according to any one of Items 1 to 3.   5. The web site access status totaling method according to claim 3, wherein the page designating step designates a plurality of web pages. The counting step includes
A group specifying step of specifying two or more Web pages as a specific group among a plurality of Web pages accessible on the Web site;
2. The step of counting the access status of the Web site by counting only the flow line data including access to the specified specific group among the flow line data. The method for counting the website access status according to any one of items 1 to 5. The counting step includes
A group specifying step of specifying two or more Web pages as a specific group among a plurality of Web pages accessible on the Web site;
And a step of aggregating the access status of the Web site only for the flow line data that does not include access to the specified specific group among the flow line data. The web site access status totaling method according to any one of 1 to 6.   8. The Web site access status totaling method according to claim 6, wherein the group specifying step specifies a plurality of groups. The counting step includes
When a plurality of records constituting the flow line data includes multiple accesses to the same Web page, only virtual flow line data excluding the same Web page accessed later in time The method for counting website access status according to any one of claims 1 to 8, further comprising a step of counting the access status of the website with the target of counting. The counting step includes
And a step of developing actual flow line data including the excluded same Web page from the virtual flow line data at the time of displaying the total result based on the virtual flow line data. Item 10. The Web site access status totaling method according to Item 9. The counting step includes
A step of arbitrarily designating whether or not a specific Web page or a specific group is included in the start point, the intermediate point, and the end point of the actual flow line data and the virtual flow line data;
11. The method according to claim 10, further comprising the step of totalizing the access status of the website so as to be able to be displayed, with the actual flow line data and the virtual flow line data satisfying the condition as aggregation targets. A method of counting the website access status described.   The web site access status totaling method according to claim 11, wherein a plurality of intermediate points can be designated. A system that aggregates the access status of a website composed of a plurality of web pages and displays the aggregation result,
When recording an access log including a web page accessed on the website and its access date and time, a specific identification number is issued for each visitor, and the identification number is added to the access log and recorded for each record. Log recording means to
Log collection means for collecting the access log in which the identification number is recorded at a predetermined timing;
A record having the same identification number is extracted from the collected access logs, and a transition status of a series of page accesses of the accessor for a plurality of Web pages in the Web site is determined based on the extracted records. Flow line creation means for creating flow line data for each identification number;
A Web site access status totaling system, comprising: a totaling unit that counts the generated flow line data as a target of totalization so that the access status of the Web site can be displayed. A program for counting the access status of a website composed of a plurality of web pages and displaying the count result,
When recording an access log including a web page accessed on the website and its access date and time, a specific identification number is issued for each visitor, and the identification number is added to the access log and recorded for each record. Logging step to
A log collecting step for collecting the access log in which the identification number is recorded at a predetermined timing;
A record having the same identification number is extracted from the collected access logs, and a transition status of a series of page accesses of the accessor for a plurality of Web pages in the Web site is determined based on the extracted records. A flow line creation step for creating flow line data for each identification number;
A program for causing a computer to execute a counting step of counting the created flow line data so that the access status of the website can be displayed.

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