JP6431025B2 - Analysis device, distribution device, analysis method, distribution method, and program - Google Patents

Description

  The present invention relates to an analysis device, a distribution device, an analysis method, a distribution method, and a program.

  Patent Document 1 discloses a technique for estimating whether the content of a web page is being read carefully by a user or being scanned. In Patent Document 1, estimation processing is performed by calculating a call function call interval that is called when a browser screen display is updated (redrawn). Patent Document 1 discloses a technique for inserting an advertisement in a line immediately before a break or before a break in a portion where the content has been read when it is estimated that the browser has read the content more than a certain amount. .

Japanese Patent No. 5797871

  However, Patent Document 1 makes no mention of predicting a position at which browsing of the content by a user who will browse the content will be terminated halfway.

  From the content provider's point of view, there is a desire to stay as long as possible for the site that it provides, and even if you lose interest in the content, introduce other related content and stay on the site you provide There is a request to want.

  Therefore, an object of the present invention is to provide an analysis device, a distribution device, an analysis method, a distribution method, and a program that allow a user to stay at a specific site.

  An analysis apparatus according to an aspect of the present invention predicts an acquisition unit that acquires data indicating a reading rate of content included in a web page from a browser that displays the web page, and a position where browsing of content by the user ends A determining unit that determines an expected leaving position; and an output unit that outputs predicted leaving position information that is information including the determined expected leaving position and information for identifying a web page.

  According to this aspect, the reading rate of each browser that displays a web page is specified by the analysis device. In addition, based on the reading rate of each browser, a predicted leaving position is determined by predicting the position where the user finishes browsing the content. If the expected departure position can be determined, various measures can be taken so that the user does not move to another site or the like.

  The distribution server according to one aspect of the present invention is an input unit that inputs expected leaving position information that includes a predicted leaving position where a user's browsing of content ends is predicted and information that identifies a web page including the content. And an updating unit that updates the web page to a web page in which a predetermined object is arranged at the expected leaving position based on the predicted leaving position information, and a distribution unit that distributes the updated web page.

  According to this aspect, the web page is updated to the web page in which the predetermined object is arranged at the expected leaving position. Then, by delivering the updated web page, the possibility that the user who has been withdrawn will continue to browse related content will increase. Therefore, the user can stay at a specific site.

  According to the present invention, the user can stay at a specific site.

1 is a schematic configuration diagram of a system according to a first embodiment. It is a figure which shows an example of a web page. It is a figure explaining a reading completion rate. It is a figure explaining the reading completion rate of the result of having received the scroll instruction | indication from FIG. It is a figure explaining the example which totaled the number of the browsers which reached | attained the reaching point of the reading rate. It is a figure which shows the example of the text area of the web page which has arrange | positioned the predetermined | prescribed object in the leaving | separation estimated position. It is a figure which shows the example which has arrange | positioned the other object in the detachment | leave prediction position. It is a figure which shows an example of the control method performed with a user terminal. It is a figure which shows an example of the control method performed with an analyzer. It is a figure which shows an example of the detailed process of the process which determines a reading completion rate. It is a figure which shows an example of the control method of a delivery server. It is a schematic block diagram of the system which concerns on 2nd Embodiment. It is a figure which shows an example of the control method of a 2nd delivery server.

  A preferred embodiment of the present invention will be described with reference to the accompanying drawings. In addition, in each figure, what attached | subjected the same code | symbol has the same or similar structure.

[First embodiment]
[Constitution]
FIG. 1 is a diagram illustrating a configuration of a system 100 according to the first embodiment. The system 100 includes a plurality of user terminals 120a, 120b, and 120c, an analysis device 130, and a distribution server 140. Although three user terminals are shown in FIG. 1, the number of user terminals may be an arbitrary number. A plurality of user terminals are collectively referred to as a user terminal 120. The user terminal 120, the analysis device 130, and the distribution server 140 are connected to each other through a network 110 such as the Internet.

  The user terminal 120 includes a display unit 121 and a browser 122, and the browser 122 includes a web page reception unit 123 and a program execution unit 124. The program execution unit 124 includes a content area specifying unit 125, a display coordinate specifying unit 126, a timing unit 127, a data transmission unit 128, and an event detection unit 129.

  The analysis device 130 includes an acquisition unit 131, a determination unit 132, and an output unit 133.

  The distribution server 140 includes an input unit 141, an update unit 142, and a distribution unit 143.

  Each of the user terminal 120, the analysis device 130, and the distribution server 140 can include a CPU (Central Processing Unit), a RAM (Random Access Memory), a flash memory, or an HDD (Hard Disc Drive) (not shown). Then, the program stored in the flash memory or the HDD is temporarily read into the RAM, and the CPU executes the program read into the RAM, so that the user terminal 120, the analysis device 130, and the distribution server 140 The CPU can function as each unit of the user terminal 120, the analysis device 130, and the distribution server 140 illustrated in FIG. Each unit included in the program execution unit 124 of the user terminal 120 executes a script program included in the web page, so that a CPU (not illustrated) of the user terminal 120 functions as each unit included in the program execution unit 124. Can do.

  Moreover, although the analysis apparatus 130 and the distribution server 140 are described as being separate apparatuses, a form used by an apparatus including the functions of both apparatuses may be used. Moreover, at least a part of each unit of the analysis device 130 and the distribution server 140 illustrated in FIG. 1 may be realized by distributed processing by a plurality of information processing devices. The information processing apparatus may execute processing according to a program downloaded from a cloud server (not shown). FIG. 1 is merely an example of the configuration, and may include other configurations. Further, not all the configurations described in FIG. 1 are essential requirements.

[User terminal]
A configuration of the user terminal 120 will be described.

  The display unit 121 displays various information, data, and the like such as a liquid crystal display and an organic EL (electroluminescence) display. In the present embodiment, the display unit 121 displays the web page distributed from the distribution server 140.

  The browser 122 is a browsing application that is activated when a program stored in a flash memory or the like of the user terminal 120 is executed by a CPU (not shown) of the user terminal 120.

  The web page receiving unit 123 accesses the distribution server 140 that stores the web page and receives the web page from the distribution server 140 in response to the web page browsing request input to the browser. In the present embodiment, the web page transmitted from the distribution server 140 includes a predetermined script program. For example, a script program written in Java Script (registered trademark) language is included.

  The program execution unit 124 executes processing according to the script program included in the web page. The browser 122 interprets the data of the web page received by the web page receiving unit 123 (for example, data described in a markup language such as HTML (HyperText Markup Language) language), and converts the web page according to the described data. Displayed on the display unit 121. When the described data includes a script program, the program execution unit 124 starts and executes processing according to the script program.

  Next, each unit included in the program execution unit 124 will be described. As described above, each unit included in the program execution unit 124 performs processing according to the script program included in the data of the web page, and is distributed from the distribution server 140 in this embodiment. A web page including such a script program is a web page.

  The content area specifying unit 125 specifies an area of main content (hereinafter referred to as “content area”) included in the web page. The web page includes advertisements other than content. The content area is an area excluding such a part other than the content. Hereinafter, in the present embodiment, the content will be described as an article. Therefore, the content area specifying unit 125 specifies the article body area. For example, the content area specifying unit 125 can specify the area surrounded by the <article> tag as the article body area. When there are a plurality of areas surrounded by the <article> tag, the largest area among them can be specified as the article body area. The content area specifying unit 125 specifies the coordinates of the content area in the web page. The technique for specifying the article body area is not limited to this example, and various techniques can be applied. In the present embodiment, an explanation is given using an article as an example of content, but the content is not limited to an article.

  The display coordinate specifying unit 126 specifies the coordinates of the web page displayed on the display unit 121 (hereinafter referred to as display coordinates). That is, the display coordinate specifying unit 126 specifies information indicating which part of the web page received by the web page receiving unit 123 is being displayed by the browser 122 (that is, being viewed by the user).

  The timer unit 127 starts the timer from a state in which the user can browse the web page, such as when the browser 122 has finished reading the web page received by the web page receiving unit 123, and measures the time. The timer 127 may start the timer in response to completion of reading of the web page, resize of the browser 122 window, rotation of the window, and the like. The event detection unit 129 detects completion of reading of these web pages, window resizing, window rotation, and the like. In addition, when the event detection unit 129 detects that the window is out of focus, the timer unit 127 ends the timer measurement. The case where the window is out of focus means, for example, that the window of the browser 122 becomes inactive and other windows become active.

  The data transmitting unit 128 transmits the coordinates of the content area specified by the content area specifying unit 125, the display coordinates specified by the display coordinate specifying unit 126, and the time measured by the time measuring unit 127 to the analysis device 130. To do.

  The event detection unit 129 detects the various events described above.

[Analysis equipment]
Next, the configuration of the analysis device 130 will be described.

  The acquisition unit 131 acquires data indicating the read rate of content included in the web page from the browser 122 that displays the web page. The reading completion rate is a rate at which browsing of a user is completed in a certain content. For example, when the reading completion rate is 100%, it indicates that the user has browsed all the contents. When the reading rate is 50%, the user has viewed half of the content. In the present embodiment, the data indicating the content read rate can be data relating to the coordinates of the content area, the display coordinates displayed by the browser, and the time when the web page is displayed.

  The determination unit 132 determines a predicted departure position where a position where the user ends browsing of content is predicted based on data indicating the read rate acquired from each of the plurality of browsers 122 of the plurality of user terminals 120. That is, the determination unit 132 specifies the reading rate in each browser 122 based on the coordinates of the content area acquired by the acquisition unit 131 and the display coordinates displayed on the browser. Then, the determination unit 132 determines the expected departure position based on the read rate of each specified browser 122. That is, the determination unit 132 predicts and determines a position where a user who browses the content will end browsing the content in the future based on the reading rate (actually measured value) of each browser 122. The expected leaving position can be said to be a position where a user who gets tired of the content changes the page to be browsed to another site or the like. Details of the method of determining the expected departure position will be described later.

  The output unit 133 outputs predicted leaving position information that is information including the predicted leaving position determined by the determining unit 132. The expected leaving position information is information including an expected leaving position (for example, coordinates of a position where the leaving is expected) and information (for example, a URL (Uniform Resource Locator)) for identifying the web page from which the departure has occurred. The output unit 133 transmits the expected departure position information to the distribution server 140. Note that the analysis device 130 may display the expected position information on, for example, a display unit (not shown) of the analysis device 130 or output it to a printing device (not shown) connected to the analysis device 130 for printing. Or may be transmitted to another server device (not shown). In other words, the output unit 133 may output the expected leaving position information to the distribution server 140 or may output it to another device or the like.

[Distribution server]
Next, the configuration of the distribution server 140 will be described.

  The input unit 141 inputs predicted departure position information transmitted from the analysis device 130.

  The update unit 142 updates the web page based on the predicted departure position information input to the input unit 141. The update unit 142 specifies a web page to be updated based on information for identifying the web page included in the expected departure position information. Then, a predetermined object is arranged at the predicted leaving position included in the predicted leaving position information. Details of the processing of the update unit 142 will be described later.

  The distribution unit 143 transmits a web page in response to a web page transmission request from the browser 122. The delivery unit 143 delivers a web page including the script program described above. Moreover, when the update is performed by the update unit 142, the distribution unit 143 distributes the updated web page.

[Specific examples of expected departure positions]
Next, an example of a method for determining a predicted departure position will be described with a specific example.

  FIG. 2 is a diagram showing a web page 200. The web page 200 is a page including an article (content) body area 210, a menu area 220, and an advertisement area 230. The window 250 is a window area that the browser 122 displays on the display unit 121. That is, a part of the body area 210 is displayed on the display unit 121 by the browser 122. Although not shown, the web page 200 includes a script program for causing the browser 122 to function as the program execution unit 124 as described above.

  When the browser 122 reads data described in HTML of the web page 200, the content area specifying unit 125 specifies the coordinates of the text area 210. The coordinates are a coordinate system in the web page 200, and can be expressed by, for example, XY coordinates with the upper left point of the web page as the origin. In this coordinate system, the value of X increases as it goes to the right in FIG. 2, and the value of Y increases as it goes down in FIG. The coordinate system units can be expressed in pixels. Of course, not limited to this, any coordinate system may be used. The data transmission unit 128 transmits the coordinates of the content area specified by the content area specifying unit 125 to the analysis device 130. The data transmission unit 128 includes, for example, the session ID of the browser 122 used when establishing communication with the analysis device 130, information (for example, URL) identifying the displayed web page, and the specified body area The coordinates 210 are transmitted to the analysis device 130. In addition, although the form using session ID was demonstrated here, what is necessary is just the information which can identify the user who browses a web page, for example, other information, such as an IP (Internet Protocol) address, may be used. When the browser 122 displays the web page 200, the time measuring unit 127 starts measuring time.

  FIG. 3 is a diagram for explaining the reading completion rate in the present embodiment. FIG. 3 is a diagram in which parts other than the text area 210 and the window 250 are removed from the web page 200 of FIG. 2 for ease of explanation. The content area specifying unit 125 of the browser 122 transmits the coordinates a1, a2, a3, and a4 of the content area (text area 210) to the analysis device 130. The analysis device 130 can specify the area of the text region 210 based on these coordinates. Specifically, the determination unit 132 of the analysis apparatus 130 obtains the width WC of the text region 210 by subtracting the X value of the coordinate a2 from the X value of the text coordinate a1. The determination unit 132 obtains the height HC of the text region 210 by subtracting the Y value of a2 from the Y value of the text coordinate a4. And the determination part 132 specifies the area of the text area | region 210 by calculating width WC * height HC. The area of the text region 210 specified by the determination unit 132 is temporarily stored in a memory (not shown) of the analysis device 130. In this example, the case where the text area 210 is a simple rectangle has been described as an example. However, the area of the text area 210 can be obtained by an arbitrary method according to the shape of the text area 210.

  Next, processing of the display coordinate specifying unit 126 will be described. The display coordinate specifying unit 126 specifies the coordinates (display coordinates) of the web page displayed on the display unit 121 by the browser 122. The example of FIG. 3 shows a window 250 when the browser 122 first reads the web page 200. In this example, the display coordinate specifying unit 126 specifies the display coordinates b1, b2, b3, and b4. The data transmission unit 128 transmits the session ID of the browser 122, information for identifying the displayed web page, the time measured by the time measuring unit 127, and the specified display coordinates to the analysis device 130. The display coordinate specifying process by the display coordinate specifying unit 126 and the transmission process by the data transmitting unit 128 including the specified display coordinates are repeatedly executed at a predetermined timing.

  The determination unit 132 of the analysis device 130 identifies the displayed region 360 of the content (that is, the text region 210) displayed on the display unit 121 by the browser 122 based on the text coordinates a1 to a4 and the display coordinates b1 to b4. To do. Specifically, the determination unit 132 specifies, as the displayed area 360, an area that overlaps the body area 210 among areas specified based on the display coordinates b1 to b4 (that is, the window 250). In the example of FIG. 3, the width of the window 250 is larger than the width of the body area 210 (that is, the X value of a2 ≧ the X value of b2, and the X value of b1 ≧ the X value of a1). Is the same as the width WP of the body area 210.

  Since the upper end position of the window 250 is higher than the upper end position of the text area 210 at the start of reading the web page (Y value of b1 <Y value of a1), the determination unit 132 sets the upper end point of the displayed area 360. Is set as the upper end point of the body area 210 (that is, the Y values of a1 and a2 are set as the upper end point). Further, since the lower end position of the window 250 is higher than the lower end position of the text area 210 (Y value of b3 <Y value of a3), the determining unit 132 sets the lower end point of the displayed area 360 as the lower end position of the window 250. Set to a point (that is, set the Y value of b3 and b4 to the lower end point). Then, the determination unit 132 can obtain the height HF1 of the displayed area 360 by subtracting the Y value of the upper end point from the set Y value of the lower end point. That is, the height HF1 = Y value of b3−Y value of a1.

  Then, the area of the displayed region 360 is specified by calculating width WF1 * height HF1. Here, the determination unit 132 can specify the reading rate by obtaining the ratio of the area of the displayed region 360 to the area of the text region 210. That is, in the example of FIG. 3, the read rate can be obtained by (WF1 * HF1) / (WC * HC). As described above, the determination unit 132 determines the reading rate of the browser 122 that is the transmission source of the display coordinates every time the acquisition unit 131 acquires the display coordinates or at regular intervals such as every hour. Identify. The above-described example is merely an example, and the displayed area 360 may be obtained using any method.

  FIG. 4 is a diagram illustrating an example in which the browser 122 displays an area in the window 250 as a result of receiving a scroll instruction from the state of FIG. The display coordinate specifying unit 126 transmits the display coordinates b41, b42, b43, and b44 to the analysis device 130 as in the case described with reference to FIG. The determination unit 132 of the analysis apparatus 130 determines the displayed area 460 with reference to the display coordinates transmitted from the browser 122 so far. That is, the lower end point is updated, and the height HF2 of the displayed area 460 is obtained by subtracting the upper end point Y value (Y1 value of a1) from the updated lower end point Y value (Y value of b43). The width WF2 is the same as the width WC. In the example of FIG. 4, the reading completion rate can be obtained by (WF2 * HF2) / (WC * HC).

  Note that the determination unit 132 determines that the Y value of the lower end point of the display coordinates is smaller than the Y value when the previous reading rate is calculated, that is, the case where the user reads back the text and scrolls back. The reading rate does not have to be reduced in accordance with the display coordinates of the scroll back. Or you may perform the process which updates the displayed area | region 460 according to scroll back (that is, the specified reading rate is reduced).

  Data including display coordinates is transmitted from the data transmission unit 128 of the browser 122 to the analysis device 130 at a predetermined timing. The predetermined timing may be, for example, a predetermined time interval based on the time measurement of the time measuring unit 127, or may be every time a predetermined amount of scrolling within the page is performed. In this manner, when the web page is read in the browser 122, data including display coordinates is continuously transmitted to the analysis device 130 at a predetermined timing. Conversely, when the browser 122 switches the display from the web page including the script program as described above to the web page of another site or the like (that is, when the page is moved), the browser 122 The display coordinate data is not transmitted to the analysis device 130. The determination unit 132 of the analysis device 130 may determine the reading rate in the browser 122 (identified by the session ID or the like) based on the display coordinate data at the time of the last transmission from the browser 122. As described above, when the display coordinate data of the corresponding web page is not transmitted from the browser 122, the window of another application is changed to be active in addition to the case where the display of the browser 122 is switched to another web page. It is also included that the browser 122 is terminated or the like. When the browser 122 has a function of notifying that the display is switched to a web page of another site, the determination unit 132 determines the reading rate based on such notification. You can also.

  As described above, the data transmission unit 128 transmits the time measured by the time measuring unit 127 when transmitting the display coordinate data. The determination unit 132 compares the display coordinates and time at the previous transmission with the display coordinates and time at the current transmission, and the scroll speed exceeds a predetermined threshold (for example, 1 second per 1000 pixels). In this case, the data from the browser 122 that is the transmission source of the data may not be used for determining the expected leaving position. For example, if the scroll speed exceeds a predetermined threshold, it can be estimated that the user has not read the article.

  Next, an example will be described in which the determination unit 132 totals the reading completion rates of the plurality of browsers 122 and determines the expected departure position based on the total result.

  The determination unit 132 sets points (hereinafter referred to as reaching points) obtained by dividing the reading completion rate by a predetermined unit. Then, the number of browsers that have reached the reaching point is incremented and tabulated to generate a tabulated value for each reaching point. Then, a predicted departure position is determined based on the total value. For example, the determination unit 132 calculates the difference between the total values between adjacent arrival points, and specifies between the arrival points where the largest difference occurs. The determination unit 132 can determine the position specified by any reading rate included between the arrival points specified in this way (including the arrival points themselves) as the predicted departure position. In addition, the determination unit 132 can determine the predicted departure position by various methods. Hereinafter, a specific example will be described.

  FIG. 5 sets the reaching points obtained by dividing the read rate of the body area 210 of the article (content) included in the web page 200 shown in FIG. 2 by a predetermined unit (here, 12.5% unit). It is a figure which shows the example which totaled the number of the browsers which reached | attained. For example, in the case where the reading rate is 0% (that is, immediately after displaying the page), the number of browsers to be sampled (here, 300) is all counted and counted. Thereafter, as the page is read, the number of users who leave is gradually increased, and as a result, the number of browsers reaching a reaching point with a high reading rate decreases.

  In the example of FIG. 5, the number of browsers will be described as being synonymous with the number of users. Each browser can be identified by, for example, a session ID.

  The determination unit 132 obtains a difference in the number of browsers belonging to adjacent arrival points. The determination unit 132 includes a total value of the first reaching point (referred to as a first total value) and a total value of the second reaching point that is a reaching point having a higher reading rate than the first reaching point (second value). The number of users who have left between the first reaching point and the second reaching point is specified. Specifically, the determination unit 132 specifies the number of users who have left between the first arrival point and the second arrival point by subtracting the first aggregation value from the second aggregation value. By performing such a process between the reaching points, the determination unit 132 determines the leaving section (the section specified by the first reaching point and the second reaching point) where the most users have left. Can be identified. Since it is considered that most users have left at any position between the first arrival point and the second arrival point in the departure section, the determination unit 132 determines the arbitrary position (both ends) between the sections. Including) can be determined as the expected departure position. In the present embodiment, the second arrival point in the departure section is determined as the predicted departure position. Note that the interval between the arrival points to be classified can be set as appropriate.

  This will be described with reference to the example of FIG. As described above, the interval between the arrival points is set as an interval of 12.5%. In the example of FIG. 5, there are 20 users (300 to 280) who have left between the beginning of the text area 210 and the arrival point of 12.5% of the text area. Further, it is shown that 30 users (280-250 people) have left between the arrival point of 12.5% and the arrival point of 25% in the text area 210. In this way, in the example of FIG. 5, in the example of FIG. 5, the leaving section where the most users have left is 50% of which 50 (210-160) users have left. It can be specified that the interval is between the point (first arrival point) and the 62.5% arrival point (second arrival point). The determination unit 132 can determine the position specified by any of the reading rates included in the leaving section as the predicted leaving position. For example, in the example of FIG. 5, any position between 50% and 62.5% of the leaving section can be determined as the predicted leaving position. In the present embodiment, the second reaching point (62.5% in the example of FIG. 5) having a high reading rate in the leaving section is determined as the predicted leaving position.

  In the above-described example, an example has been described in which the position where the most users have left is determined as the predicted leaving position. That is, although the mode in which the mode value is determined as the predicted departure position has been described, the present invention is not limited to this. For example, the average value of the positions where the user has left may be used as the predicted release position, or the median may be used as the predicted release position.

  Further, the determination unit 132 may determine a predicted departure position using a predetermined threshold value, or may perform a process that does not determine the predicted separation position.

  For example, the determination unit 132 determines that the number of users who have viewed all of the content (that is, the number of users with a reading rate of 100%) out of the total number of samples (300 in this example) is the first threshold ( In the case where there is more than a ratio), it may be determined that there is no expected departure position. For example, when 50% or more of the number of samples has reached 100% of the completion rate, that is, when more than half of the users have viewed all the contents, the expected exit position May be determined not to exist. The first threshold has been described by taking 50% as an example, but can be changed as appropriate according to the content.

  Further, the determination unit 132 may specify the predicted departure position using a predetermined threshold without using the difference between adjacent arrival points. For example, the determination unit 132 has a ratio of the number of browsers whose reading rate has reached 100% (that is, the number of users who have viewed all of the content) out of the total number of samples (300 in this example). The first condition is when the value is less than the threshold value (for example, 50%). Under this first condition, the determination unit 132 specifies the cumulative number of users who have left between the arrival point where the reading rate is 0% and the reaching point where the reading rate is high. Then, a reaching point T where the cumulative number of users who have left exceeds a second threshold (for example, 40% of the number of samples) is specified. If the read rate corresponding to this arrival point T is smaller than a third threshold (for example, 75%), the arrival point T is determined as the predicted departure position. In the example of FIG. 5, since the number of samples is 300, the number corresponding to the second threshold is 120. That is, the reaching point where the accumulated number of persons who have left exceeds 120 is specified. In the example of FIG. 5, the reaching point T of 62.5% where 140 people have left (the total value is 160 people) is specified. Since this arrival point T (62.5%) is smaller than the third threshold (for example, 75%), the determination unit 132 determines this arrival point T (62.5%) as the predicted departure position. The expected departure position may be determined by such a method. The above-described threshold value is merely an example, and the predicted departure position may be determined using an arbitrary threshold value.

  Thus, in this embodiment, the reading rate of each browser 122 that displays a web page is specified by the analysis device 130. Further, based on the reading rate of each browser 122, it is possible to determine a predicted departure position where a position where the user finishes browsing the content is predicted. It can be said that the determined expected leaving position is a position where many users are bored with the content. If the expected departure position can be determined, various measures can be taken so that the user does not move to another site or the like. For example, by arranging an object that attracts the user's interest at the expected departure position, it is possible to continue browsing related content without moving the user to a web page such as another site.

[Predetermined object]
FIG. 6 is a diagram illustrating an example of a body area 610 of a web page in which a predetermined object 620 is arranged at an expected leaving position. In FIG. 6, the predicted departure position is indicated by a star mark. The content of the text area 610 is the same as that of the text area 210 shown in FIG. However, a button object 620 of “display continuation” is arranged at the predicted leaving position. Display control is performed on the object 620 by, for example, a script program included in the web page. In the body area 610 shown in FIG. 6, control is performed by the script program so that the entire body is not displayed as in the body area 210 shown in FIG. In other words, the text after the expected departure position is not displayed. A user who wants to display the continuation of the text in the text area 610 clicks the object 620 of the button “display continuation”. When the object 620 is clicked, the remaining text is displayed.

  As shown in FIG. 6, content related to the content being displayed can be displayed by disposing a button object 620 of “display continuation” at the predicted departure position. In the example of FIG. 6, “related content 1” 631, “related content 2” 632, and “related content 3” 633 are raised by changing the text after the object is placed to the non-display state. It is displayed. For this reason, by displaying the related content at a position where many users get bored, it is possible to guide the user who feels bored to browse the related content. Therefore, the user can stay at a specific site without moving to another site or the like. Here, the related content may be any content as long as it is content related to the content being displayed. For example, if the content is an article, the title, summary, photo, and the like of the related article may be content associated with a link to the article. Or an advertisement etc. may be sufficient.

  FIG. 7 is a diagram illustrating an example in which another object 720 is arranged. In the text area 710 of FIG. 7, all the contents of the text are displayed as in FIG. On the other hand, a widget that displays related content in a form that divides the body text is arranged as an object 720 at the expected departure position. The text is continuously displayed below the object 720. This widget is associated with a plurality of related contents in which related article titles, summaries, photos, and the like are associated with links to the articles, and can be operated according to a swipe instruction by a script program. For example, by swiping horizontally, the content associated with the link to the article, such as the title, summary, and photo of the related article included in the widget, is sequentially displayed according to the swipe operation. In this way, it is possible to guide the user to browse related content by placing the object 720 at the expected departure position. Therefore, the user can stay at a specific site without moving to another site or the like.

  In addition, although the form which arrange | positions the convolution function of the text here, and the widget function which can perform a swipe operation | movement was demonstrated in the separation | desorption expected position here, it is not restricted to this. For example, the related content may be displayed in a pop-up at the predicted exit position, or the related content may be displayed in an overlay at the predicted exit position.

[flowchart]
FIG. 8 is a diagram illustrating an example of a control method performed by the user terminal 120.

  In step S <b> 810, the web page receiving unit 123 receives a web page from the distribution server 140.

  In step S820, the browser 122 activates each unit of the program execution unit 124 in accordance with the script program included in the received web page.

  In step S830, the content area specifying unit 125 specifies the content area in the web page.

  In step S840, the timer unit 127 activates a timer and starts measuring time.

  In step S850, the display coordinate specifying unit 126 specifies the display coordinates displayed by the browser 122.

  In step S860, the data transmission unit 128 determines whether a predetermined timing has been reached. The predetermined timing is when the change amount of the display coordinates specified in step S850 from the previous data transmission exceeds a threshold, or when the time measured in step S840 reaches a predetermined time. be able to. The process of step S850 is performed until the predetermined timing is reached, and when the predetermined timing is reached, the process proceeds to step S870.

  In step S870, the data transmission unit 128 transmits the coordinates of the content area specified in step S830, the display coordinates specified in step S850, the time measured in step S840, and the web page identification information to the analysis apparatus 130. In addition, the data transmission unit 128 performs transmission using the session ID when communication with the analysis device 130 is established.

  FIG. 9 is a diagram illustrating an example of a control method performed by the analysis device 130.

  In step S <b> 910, the acquisition unit 131 acquires data indicating the reading rate from the browser 122 and determines the reading rate of the browser 122. The process of step S910 will be described later.

  In step S920, the determination unit 132 determines whether a predetermined number (for example, 300) of browsers has been read. When the predetermined number is reached, the process proceeds to step S930. Otherwise, the process ends without determining the leaving position.

  In step S930, the determination unit 132 determines a predicted departure position. That is, using the read rates of the plurality of browsers that have been determined, a predicted departure position is determined by predicting a position where the user finishes browsing the content. It can be said that the expected leaving position is a position where an arbitrary user who will browse the content is expected to finish browsing the content halfway. The determination unit 132 determines the expected departure position based on the total value of the number of browsers that have reached the arrival point obtained by dividing the reading completion rate by a predetermined unit.

  In step S940, the output unit 133 outputs predicted leaving position information including the predicted leaving position determined in step S930. For example, the output unit 133 transmits the expected departure position information to the distribution server 140.

  Such processing can be performed by the analysis device 130 at regular intervals, such as every hour.

  FIG. 10 is a diagram showing details of the process of determining the reading rate in step S910.

  In step S1010, the acquisition unit 131 acquires identification information for identifying the web page transmitted from the browser 122 in step S870, the coordinates of the content area in the web page, the display coordinates, and the measured time.

  In step S1020, the determination unit 132 obtains the scroll speed based on the acquired display coordinates and time, and determines whether the obtained scroll speed is within the specified range. If it is not within the specified range, the process is terminated.

  In step S1030, the determination unit 132 identifies the content page read rate specified by the web page identification information acquired in step S1010, based on the coordinates and display coordinates of the content area acquired in step S1010.

  In step S1040, the determination unit 132 counts up the number of browsers belonging to the reaching point corresponding to the reading rate specified in step S1030.

  FIG. 11 is a flowchart illustrating an example of a distribution server control method.

  In step S1110, the distribution unit 143 distributes the web page in response to a request from the browser 122.

  In step S <b> 1120, the input unit 141 inputs the expected departure position information output from the analysis device 130.

  In step S <b> 1130, the update unit 142 updates the distributed web page to a web page in which a predetermined object is arranged at the expected leaving position. For example, the update unit 142 specifies a web page to be updated based on the web page identification information included in the predicted departure position information. And predetermined content is arrange | positioned in the isolation | separation expected position of the specified web page. The “update” may be a process for newly generating a web page, or may be a process for rewriting an existing web page. In other words, any form may be used as long as a web page in which a predetermined object is arranged at the expected leaving position is prepared in the update unit 142 as a web page that can be delivered by the delivery unit 143.

  Since the expected leaving position has already been specified, the web page on which the predetermined object is arranged does not need to include a script program for specifying the expected leaving position. Alternatively, in order to further optimize the expected leaving position of the web page, a predetermined object may be arranged and updated to a web page including a script program for specifying the expected leaving position.

  In step S1140, the distribution unit 143 distributes the web page updated by the update unit 142.

  In the distribution server 140 of the present embodiment, the web page is updated to a web page in which a predetermined object is arranged at the expected leaving position. Then, by delivering the updated web page, the possibility that the user who has been withdrawn will continue to browse related content will increase. Therefore, the user can stay at a specific site.

[Second Embodiment]
In the first embodiment, the form in which the distribution server 140 that distributes content also distributes the script program has been described. In the second embodiment, a mode in which a server that distributes content and a server that distributes a script program are different servers will be described.

  FIG. 12 is a diagram illustrating a configuration of a system 1200 according to the second embodiment. The system 1200 includes a plurality of user terminals 120a, 120b, 120c, an analysis device 130, a first distribution server 1210, and a second distribution server 1220. Since the configuration other than the first distribution server 1210 and the second distribution server 1220 is the same as that described in the first embodiment, the description thereof is omitted.

  The first distribution server 1210 includes a distribution unit 1211 that distributes web pages including content. The distribution unit 1211 distributes a web page including an instruction (for example, a link to a file describing the script program) that causes the browser 122 to read the script program distributed by the second distribution server 1220.

  The second distribution server 1220 includes an input unit 1221, a transmission unit 1222, and an update unit 1223.

  Similarly to the input unit 141 of the distribution server 140 of the first embodiment, the input unit 1221 inputs the expected leaving position information transmitted from the analysis device 130.

  The transmission unit 1222 transmits a script program similar to that described in the first embodiment to the browser 122. The browser 122 reads the web page distributed from the first distribution server 1210, and requests a file describing the script program of the second distribution server 1220 in accordance with an instruction included in the web page. The transmission unit 1222 transmits a file describing a script program in response to a request from the browser 122.

  The update unit 1223 updates the script program transmitted by the transmission unit 1222 based on the predicted departure position information input to the input unit 1221.

  For example, the transmission unit 1222 transmits the script program that transmits the data indicating the read rate described in the first embodiment to the browser 122 accessed through the web page W1 for which the expected leaving position information is not obtained. For the web page W2 from which the expected leaving position information is obtained, the update unit 1223 updates the program transmitted to the browser 122 accessed through the web page W2. Specifically, as described in the first embodiment, the update unit 1223 updates the script program including a process for displaying a predetermined object at the expected leaving position of the web page W2. As a result, the browser 122 that has accessed through the web page W2 displays a predetermined object at the expected leaving position of the web page W2. Note that, as described in the first embodiment, the updated script program may include a process of continuously transmitting data indicating the reading completion rate.

  FIG. 13 is a flowchart illustrating an example of a distribution method of the second distribution server 1220 in the second embodiment.

  In step S <b> 1310, the input unit 1221 obtains expected departure position information including an expected departure position where the user has finished browsing the content and information that identifies a web page (referred to as a web page W <b> 2) including the content. input.

  In step S1320, the update unit 1223 updates the program to be transmitted to the browser 122 that accesses through the web page W2, based on the predicted departure position information input in step S1310. That is, the update unit 1223 updates the program transmitted to the browser 122 accessed through the web page W2 to a program including a process for displaying a predetermined object at the leaving position of the web page W2.

  In step S1330, the transmission unit 1222 transmits the updated script program to the browser 122 accessed through the web page W2.

  The embodiments described above are for facilitating the understanding of the present invention, and are not intended to limit the present invention. Each element included in the embodiment and its arrangement, material, condition, shape, size, and the like are not limited to those illustrated, and can be changed as appropriate. In addition, the structures shown in different embodiments can be partially replaced or combined.

  The program for realizing each embodiment of the present invention described above may be stored in a recording medium. If this recording medium is used, the above-mentioned program can be installed in the computer. Here, the recording medium storing the program may be a non-transitory recording medium. The non-transitory recording medium is not particularly limited, but may be a recording medium such as a CD-ROM.

DESCRIPTION OF SYMBOLS 100 ... System, 110 ... Network, 120, 120a, 120b, 120c ... User terminal, 121 ... Display part, 122 ... Browser, 123 ... Web page receiving part, 124 ... Program execution part, 125 ... Content area specification part, 126 ... Display coordinate specifying unit, 127 ... timing unit, 128 ... data transmission unit, 129 ... event detection unit, 130 ... analysis device, 131 ... acquisition unit, 132 ... determination unit, 133 ... output unit, 140 ... distribution server, 141 ... input , 142 ... update unit, 143 ... distribution unit, 1200 ... system, 1210 ... first distribution server, 1211 ... distribution unit, 1220 ... second distribution server, 1221 ... input unit, 1222 ... transmission unit, 1223 ... update Part

Claims (14)

An acquisition unit that acquires data indicating a read rate of content included in the web page from a browser that displays the web page;
A determination unit that determines a predicted departure position that predicts a position at which browsing of the content by a user ends based on data indicating the read rate acquired from each of a plurality of browsers;
An analysis device comprising : an output unit that outputs predicted predicted leaving position information that is information including the determined predicted leaving position and information for identifying the web page ; and
An input unit for inputting the estimated position information of leaving, and
An update unit that arranges an object that leads to related content related to the content in the same site as the content at the predicted exit location of the web page based on the input predicted exit location information;
A distribution system comprising: a distribution unit that distributes a web page updated by the update unit . The update unit arranges an object indicating an instruction to hide the content after the expected leaving position of the web page and display the continuation of the content at the expected leaving position.
The system of claim 1. The update unit divides the content at the expected departure position of the web page, and arranges the object in the divided area.
The system of claim 1. The acquisition unit
As the data indicating the reading rate, the coordinates of the content and the display coordinates displayed in the browser are acquired from the browser,
The determination unit is
The coordinates of the content, based on said display coordinates, to identify completing reading rate in the browser, determining the withdrawal expected position based on the specified completing reading rate, according to any one of claims 1 3 System . 5. The system according to claim 4 , wherein the determination unit specifies, as the reading rate, a ratio of the display coordinates to the content area specified by the contents coordinates and the displayed area specified by the contents coordinates. The acquisition unit further acquires the time displayed on the browser as data indicating the reading rate,
The determination unit, when the scroll speed based on said said display coordinate time exceeds a predetermined threshold value, determining the withdrawal expected position without using the data from the browser, according to claim 4 or 5 System . The determination unit totals the number of browsers that have reached the reaching point divided by the predetermined unit of the read rate, and generates a total value for each reaching point,
The system according to any one of claims 1 to 6 , wherein the predicted departure position is determined based on the generated aggregate value. The determination unit obtains a difference in the aggregate value between adjacent arrival points, and determines the position specified by the reading rate included between the adjacent arrival points where the most difference is generated as the expected departure position. The system according to claim 7 . 9. The determination unit according to claim 8 , wherein, when the ratio of the number of browsers whose reading rate has reached 100% is greater than a first threshold among the plurality of browsers, the determination unit determines that the predicted leaving position does not exist. The described system . The determination unit includes the plurality of browsers.
When the ratio of the number of browsers whose reading rate has reached 100% is less than the first threshold,
The reaching point where the cumulative number of browsers that have left between the reaching point where the reading rate is 0% and the reaching point where the reading rate is high exceeds the second threshold is specified, and the reading rate corresponding to the specified reaching point is The system according to claim 7 , wherein the identified reaching point is determined as the predicted departure position when the threshold value is smaller than three threshold values. Before Kio object is before Symbol function is an object that contains a link to the communication content, the system according to any one of claims 1 to 10. Before Kio object is an object that can switch between multiple of said related content in response to swipe instruction system of claim 11. In a system having an analysis device and a distribution server,
The acquisition unit of the analysis device acquires data indicating a read rate of content included in the web page from a browser that displays the web page;
A determination unit of the analysis device , based on data indicating the read rate acquired from each of a plurality of browsers, determining a predicted departure position where a position at which browsing of the content by the user ends is expected;
The output unit of the analysis device outputting expected exit position information which is information including the determined expected exit position and information identifying the web page;
An input unit of the distribution server inputs the expected departure position information;
An update unit of the distribution server arranges an object that guides to related content related to the content in the same site as the content at the predicted exit location of the web page based on the input expected exit location information And steps to
A distribution unit of the distribution server distributes the web page updated by the update unit;
The including METHODS. On the computer,
Obtaining data indicating a read rate of content included in the web page from a browser that displays the web page;
Determining a predicted exit position based on data indicating the reading rate acquired from each of a plurality of browsers, and predicting a position where the user finishes browsing the content;
Outputting expected exit position information that is information including the determined expected exit position and information for identifying the web page;
Inputting the expected exit position information;
Placing an object that leads to related content related to the content in the same site as the content at the predicted exit location of the web page based on the input expected exit location information;
Delivering a web page on which the object is placed;
A program that executes

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