JP2006185280A - Web site diagnostic device and web site diagnostic method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To take out information useful to evaluate a Web site from access log information, and especially to discover a significant weak point on in-site page transition. <P>SOLUTION: The URL of each of Web pages configuring a Web site is stored, and the number of times (the number of times of start) how many each Web page has become a start page is calculated based on access log information in a prescribed period, and the number of times(one page leaving number) how many the next browsed page has become any page outside the Web site is calculated from among the number of times of start, and the number of times(two page or more attainment number) how many the next browsed page has become any page within the Web site is calculated from among the start number of times, and a value calculated by dividing the result acquired by subtracting one page leaving number from the two pages or more attainment number by the number of times of start is plotted as access continuation, and the number of times of start is also plotted for each Web page. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to an apparatus and method for diagnosing a website including a plurality of web pages from the viewpoint of access transition.

  Information that records access to a web page, generally called an access log, may be used for website evaluation.

  Patent Document 1 discloses a log file analysis database that extracts necessary log information from access log information. Patent Document 2 discloses a website evaluation system that evaluates a website configured by hierarchically linking a plurality of web pages based on an access log before and after the page update.

JP 2002-328863 A JP 2002-175240 A

  The inventor of the present invention, when a user accesses the site to be evaluated from an external link such as a search site, the entrance of the site for the user is diverse, and access from various pages Focus on starting. Then, if the user who has accessed “leaves” without browsing other pages in the site after the first page viewed, the page is considered to have a problem as a start page. For example, depending on the contents of the page, there may be things that are difficult to transition to other pages in the site. There may also be pages that do not have links to other pages on the site. An object of the present invention is to extract information useful for finding an evaluation of a website from the access log information, particularly what is a serious weakness in page transition within the site.

  The main feature of the present invention is to calculate “start total number” and “access continuity” and plot them for each web page to find a weak page.

  The invention described in claim 1 is a website diagnostic apparatus for diagnosing a website composed of a plurality of web pages from the viewpoint of access transition, and for each URL of the web pages constituting the website to be diagnosed. Calculated by the request URL storage means for storing, the start number calculating means for calculating the number of times that each web page has become a start page (start number) based on the access log information for a predetermined period, and the start number calculating means The one-page departure number calculating means for calculating the number of times that the next viewed page is outside the website (number of departures per page), and the start number calculated by the start number calculating means. The number of times the next page visited was the one on the website (2 pages) The number of arrivals calculated for two or more pages for calculating the number of arrivals), and the result obtained by subtracting the number of departures in one page from the number of accesses proceeding to the second and subsequent pages calculated by the number of arrivals calculation for two or more pages The access continuity calculating means for calculating the number divided by the number of starts (access continuity), the access continuity calculated by the access continuity calculating means, and the start count are plotted for each web page. Plotting means.

  The invention described in claim 2 is a diagnostic method in a website diagnostic apparatus for diagnosing a website composed of a plurality of web pages from the viewpoint of access transition, and each of the web pages constituting the website to be diagnosed A request URL storage step for storing the URL, a start number calculation step for calculating the number of times each page has become a start page (start number) based on access log information for a predetermined period, and a start number calculation step Calculated by the one-page departure number calculating step for calculating the number of times that the next viewed page is outside the website (the number of departures per page) among the calculated start times, and the start page calculating step. The next page of the start counts 2 pages or more reaching number calculating step for calculating the number of times that it has become in the busite (2 pages or more reaching number), and the two pages or more reaching number calculating step calculated from the two pages or more reaching number calculating step An access continuity calculating step for calculating a number (access continuity) obtained by dividing the result obtained by subtracting the number of departures from the start number; the access continuity calculated by the access continuity calculating step; and the start number And a plotting step for plotting for each web page.

  It is an advantage of the present invention that an existing access log can be used effectively to find a serious weakness in page transition within a site in each web page constituting the website.

  FIG. 4 is a diagram showing a hardware configuration of a computer used in the present invention. Servers 10 and 20 and terminal computers 101, 102, 103, and 104 connected to the Internet are depicted. Now, assume that a web page constituting a website to be diagnosed is placed on the server 10. The server 20 runs a program for executing diagnosis of this website. Terminal computers 101, 102, 103, and 104 are computers of users who browse websites to be diagnosed. A history of the user accessing the site is stored in the server 10 or another computer (not shown). Access log information is collected and analyzed for a certain period, for example, several hours, one day, one week.

  FIG. 1 is a flowchart of a program for calculating the access continuity. The access log information is passed to the diagnostic apparatus according to the present invention via the Internet or a magnetic medium. Some calculation means in the present invention can be realized by a computer reading and executing a necessary program. The procedure is represented by a flowchart in FIG. As a premise for running this program, it is necessary to input URL information of all the web pages included in the website to be diagnosed. This is for judging whether it is included in the site or not from the site.

  When the program starts (step 200), data is first read from the log (step 210). For each access, information is read mainly from which page the page has changed to and which page has been changed to. Based on this, the “start count (D)”, “number of departures per page (E)”, and “number of arrivals over 2 pages (G)” are calculated for each web page (step 220). If the number of start times is not zero, it is determined as NO in step 230, and the access continuity (I) is calculated as I = (GE) / D by the equation of step 240. If the number of starts is zero, I = −100 (step 250). The access continuation degree is calculated and ends (step 260). Although omitted in this flowchart, plotting each web page with the access continuity on the X-axis and the start count on the Y-axis makes the problem of each page clear. It is also possible to create a program that is continuously executed until creation of a graph or printout.

  FIG. 2 is a diagram showing the calculation of the number of start times, the number of departures on one page, the number of arrivals of two or more pages, and the degree of access continuation taking a website consisting of 38 web pages as an example. The IDs of 38 web pages are assigned from 1 to 38. Each URL is described in the request URL column. This is information necessary to determine whether the site is inside or outside the site. The total number of accesses in column A is the total number of accesses to the web page within the period when the access log information is acquired. The number of starts in column D is the number of accesses outside the site immediately before the access out of the total number of accesses in column A. The number of withdrawals in one page of column E is the number of accesses made outside the site among the accesses in column D. By obtaining E / D, the separation rate (F column) in one page is obtained. Of the accesses in column D, the next access in the site is the number of arrivals of two or more pages (column G). Then, by obtaining G / D, an arrival rate (H column) of two or more pages is obtained. HF is calculated to obtain the access continuity (I).

FIG. 3 is a diagram illustrating an example in which the total number of starts and the access continuation degree are plotted. It is what plotted about the example shown in FIG. The total number of starts represents the importance of the page as the start page. The access continuity indicates the magnitude of the problem. When the access continuity is low, the problem as the start page is large. On the other hand, when the access continuity is high, the problem as the start page is small. The total number of starts is displayed on the vertical axis and the continuity of access is displayed on the horizontal axis, and the pages in the site are displayed as dots to identify those that have serious problems as the start page. In this example, the following can be seen.
In page ID1, since the total number of starts is large and the degree of continuity of access is large, there seems to be no problem.
The page ID 13 is weak in terms of page transition because the start total is large and the access continuity is small.
Page ID 8 has a slightly larger start total, and it can be seen that there is a slight shortage in access continuity.
The page IDs 22 and 34 are weak in terms of page transition because the start total is slightly large and the access continuity is small.
Although the page IDs 4, 11, and 38 have a small start total, the access continuity is minus 100, which is the lowest. When these pages are accessed from outside the site, they always leave the site.
Although the page IDs 6, 10, 12, 14, 16, and 32 have a small total number of starts, the access continuity is small and it is difficult for page transitions in the site to occur.
The page ID 36 has a start total of zero.
In this way, the analysis based on the total number of starts and the degree of continuity of access revealed how serious problems each web page that started access had.

  In the above example, one website consisting of a group of pages on one server is targeted for diagnosis. However, site analysis is performed by regarding a group of pages on two or more servers as a single website. You can also This is because whether or not it is in the site is determined by the work of collating with the registered URL, and it is not premised that it is in one server. Similarly, the web pages in the site need not have a hierarchical structure.

  The present invention can be performed by a stand-alone computer or can be provided as a service on a server on the web.

It is a flowchart of the program which leads to calculation of an access continuation degree. It is a figure which shows the calculation of the number of start, the number of detachment | leaves in 1 page, the arrival number of 2 pages or more, and the access continuation degree for the example of the website consisting of 38 web pages. It is a figure which shows the example which plotted the start total and access continuation degree. It is a figure which shows the hardware constitutions of the computer used for this invention.

Explanation of symbols

10, 20 Server 101, 102, 103, 104 Terminal computer

Claims (2)

A website diagnostic apparatus for diagnosing a website composed of a plurality of web pages from the viewpoint of access transition,
Request URL storage means for storing URLs of web pages constituting the website to be diagnosed;
Start number calculating means for calculating the number of times that each individual web page has become a start page (start number) based on access log information for a predetermined period;
A one-page departure number calculating means for calculating the number of times the page viewed next becomes out of the website (number of departures per page) among the start numbers calculated by the start number calculating means;
2 or more pages reached number calculating means for calculating the number of times that the next viewed page in the start number calculated by the start times calculating means (number of pages reached by 2 pages or more) is calculated;
Access continuity for calculating a number (access continuity) obtained by dividing the result obtained by subtracting the number of departures for one page from the number of arrivals for two or more pages calculated by the number of arrivals for two or more pages calculated by the means for calculating the number of arrivals. A calculation means;
A website diagnosis apparatus comprising: plotting means for plotting the access continuity calculated by the access continuity calculation means and the start count for each web page. A diagnostic method in a website diagnostic apparatus for diagnosing a website composed of a plurality of web pages from the viewpoint of access transition,
A request URL storage step for storing each URL of a web page constituting the website to be diagnosed;
A start count calculating step for calculating the number of times that each individual web page has become a start page (start count) based on access log information for a predetermined period;
A one-page departure number calculating step for calculating the number of times that the next viewed page is outside the website (the number of departures per page) among the start numbers calculated in the start number calculating step;
A two-page or more reaching number calculating step for calculating the number of times that the next viewed page is within the website (the number of reaching two or more pages) among the starting times calculated in the start page calculating step;
A number (access continuity) is calculated by dividing the result obtained by subtracting the number of departures from one page from the number of accesses advanced to the second and subsequent pages calculated in the arrival number calculation step of two or more pages. Access continuity calculation step;
A website diagnosis method comprising: a plotting step of plotting the access continuity calculated in the access continuity calculation step and the start count for each web page.

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