TWI479438B - A visual processing method, apparatus and system for user access to web page behavior - Google Patents

Description

Visualized processing method, device and system for user accessing webpage behavior

The present application relates to the field of computer network technology, and in particular, to a visual processing method, apparatus and system for a user to access a web page.

From the purpose of corporate website construction, the company's website is an important platform for enterprises to publicize and display company products and/or conduct online trade. However, the reality is that most companies do not have a clear and clear understanding of the effectiveness of this platform. It is not known about the attention of each product displayed on the website. This situation will continue to lead to the decision-making of enterprise decision-makers. The lack of strong support in the promotion strategy has greatly reduced the accuracy and timeliness of decision-making.

At present, there are many ways to achieve statistics on the information of the company's website. For example, by analyzing the log data of the website and then analyzing the data, you can also use third-party software to perform statistics, or even add tracking code directly to the web page for statistical analysis. Etc. But the results obtained by these methods are usually only statistical analysis of the situation of the entire website or individual pages, and it is impossible to count whether a certain product in the webpage, such as a product displayed on the webpage, is concerned. Analysis, therefore, these methods, in addition to the rigid information brought to the decision makers, are the great pains that the decision makers face in the face of such information.

In other words, the shortcomings of these methods are very obvious: they are not intuitive and unclear, and they also place high demands on readers of data reports. Moreover, the report data is separated from the product display platform, which isolates the relationship between product attention and the product display platform, and ultimately leads to decision deviations and even errors.

The embodiment of the present invention provides a visual processing method for a user to access a webpage, which is used to closely associate a user's attention to the content of the webpage with the corresponding content in the webpage, and visually and clearly display the content of the webpage of the user. The method includes: collecting mouse click data of the user end; collecting the number of visits by the user to each area of the webpage according to the collected click data of the mouse; and, correspondingly, the number of visits by the user to each area in the webpage The areas match; the matching results are displayed.

Preferably, before collecting the mouse click data of the user end, the method further comprises: embedding the javascript code in the webpage; triggering the onMouseDown event according to the user's mouse click behavior, adding a script in the onMouseDown event to capture the mouse click data of the user end, and Report the user's mouse click data through the httpRequest object.

Preferably, the statistic is performed according to the collected mouse click data, including: acquiring the collected mouse click data and performing summary analysis, and forming a click data set of each area according to the click position parameter in the mouse click data, the click The data set includes the number of visits by users to each area of the web page.

Preferably, the pair of mouse click data is summarized and analyzed, including: if the user repeatedly clicks on the same area content according to the user IP address, the cookie and the click location parameter in the mouse click data, when the click data set is formed , the number of repetitions is not counted in the number of visits by the user in the click dataset to the corresponding area of the webpage.

Preferably, the click data set of each area is formed according to the click position parameter in the mouse click data, including: generating a blank picture, restoring the click position parameter in the mouse click data and matching the blank picture; The preset unit click effect map identifies each mouse click behavior of the user until the click data set modeling of each area is completed, and a click data modeling diagram is formed on the basis of the blank picture.

Preferably, the matching the number of times the user accesses the area in the webpage to the corresponding area includes: converting the click data modeling image into a format; wherein, according to the number of times the user visits each area in the webpage, Divide the converted image into different color regions.

Preferably, the format conversion of the click data modeling image further includes transparent processing the converted image.

Preferably, the displaying the matching result comprises: adding a javascript script to the webpage, and downloading, overwriting, and displaying the transparentized image on the webpage by creating a new layer.

The embodiment of the present application further provides a visual processing device for a user to access a webpage behavior, which is used to closely associate a user's attention to the content of the webpage with the corresponding content in the webpage, and visually and clearly display the user in the webpage. The content of the content, the device includes: a statistical module, configured to count the number of times the user visits each area of the webpage according to the click data of the user end, and the areas are divided according to the content in the webpage; The number of accesses of the user to each area in the webpage is matched with the corresponding area; a display module is used to display the matching result.

Preferably, the statistic module comprises: an obtaining unit, configured to acquire a mouse click data of the user end; and a calculating unit, configured to perform a summary analysis on the mouse click data, and form each area according to the click position parameter in the mouse click data. Click data set, which includes the number of visits by users to each area of the webpage.

Preferably, the calculating unit is further configured to: according to the user IP address, the cookie, and the click location parameter in the mouse click data, determine that the user repeatedly clicks on the same area content, and when the click data set is formed, the repeating number is not counted. The number of visits to the corresponding area of the web page by the user in the click data set.

Preferably, the calculating unit is further configured to: generate a blank picture, restore the click position parameter in the click data of the mouse and match the blank picture; and use the preset unit click effect diagram to identify each mouse of the user when matching The click behavior is completed until the click dataset modeling of each region is completed, and a click data modeling diagram is formed on the basis of the blank image.

Preferably, the matching module is further configured to perform format conversion on the click data modeling diagram; wherein the converted picture is divided into different color regions according to different times of the user's access times to each area in the webpage.

Preferably, the matching module is further configured to: transparently process the format converted image.

Preferably, the display module is further configured to: add a javascript script to the webpage, and download and overlay the transparentized image on the webpage by displaying a new layer and displaying the image.

The embodiment of the present application further provides a visual processing system for a user to access a webpage behavior, which is used to closely associate a user's attention to the content in the webpage with the corresponding content in the webpage, and visually and clearly display the user in the webpage. The degree of attention of the content, the system includes: a data acquisition server for collecting the mouse click data of the user end; the data analysis server is configured to obtain the mouse click data collected by the server according to the data, and collect statistics on the user's area on the webpage. The number of visits, the regions are divided according to the content in the webpage; and the number of visits by the user to each area in the webpage is matched with the corresponding area; the first web server is used to display the matching result of the data analysis server .

Preferably, the method further includes: a second website server, configured to capture the mouse click data of the user end and report the data to the data acquisition server.

In the embodiment of the present application, the mouse click data of the user end is collected; according to the collected mouse click data, the number of times the user visits each area of the webpage is counted; and the number of visits by the user to each area of the webpage and the corresponding area are Matching; displaying the matching result, thereby visually presenting the user's access behavior to the content in the webpage, so that the user's attention to the content in the webpage is intuitive and clear, and by comparing the number of visits by the user to each area in the webpage The matching of the regions also closely links the relationship between the user's attention to the content in the webpage and the corresponding content in the webpage, which is beneficial for the website decision maker to make convenient and accurate decisions according to the user's access behavior to the webpage.

The embodiment of the present application models and visualizes the data on the basis of the traditional statistical method, and presents the rigid data to the decision maker in an intuitive manner, which is simple, clear, fast and convenient.

As shown in FIG. 1 , in the embodiment of the present application, the processing process of the visual processing method for the user to access the webpage behavior may include:

Step 101: Collect a mouse click data of the user end.

Step 102: According to the collected mouse click data, count the number of times the user accesses each area in the webpage. Each area in the webpage may have multiple division manners, for example, division according to location, division according to content, and the like. There may be multiple ways to divide according to the content. For example, if a webpage contains news content, entertainment content, and educational content, the webpage may be divided into a news area, an entertainment area, and an education area; and if a webpage is used to display different The goods can be divided into different areas according to the different products displayed; if a web page shows several links, each link can be divided into one area.

Step 103: Match the number of accesses of the user to each area in the webpage to the corresponding area.

Step 104: Display a matching result.

The steps in the flow shown in Figure 1 may be performed by the same entity or by different entities, depending on actual needs. For example, in one embodiment, step 101 is performed by a data acquisition server, that is, the data acquisition server collects mouse click data of the user end, and a data analysis server implements steps 102-103, that is, the data analysis servo Obtaining the mouse click data collected by the server according to the foregoing data, and counting the number of visits by the user to each area in the webpage; and matching the number of visits by the user to each area in the webpage to the corresponding area; by a web server For example, it is referred to as a first website server implementation step 104, that is, the first website server displays the matching result of the foregoing data analysis server. The implementation steps of each step introduced in this example: the data acquisition server, the data analysis server, and the first website server are only one example, and the implementation of the present invention by one or more other entities is not excluded in the implementation. In the following description of the embodiments, the present example will be described as an example.

In one embodiment, the user can click on the data including the click position parameter to perform statistics on the number of times the user accesses each area in the webpage according to the mouse click data. Before the step 101 is performed, the mouse click data may be captured first, for example, by another device, such as another website server (such as a second website server), in various ways, for example, The javascript code is embedded in the webpage to implement the aforementioned capture function. For example, after the javascript code is embedded in the webpage, the onMouseDown event is triggered according to the user's mouse click behavior; the script is added to the onMouseDown event to capture the mouse click data; and the httpRequest object is used to report the mouse click data to the data acquisition server.

The mouse click data may include a click location parameter, and may also include other materials that reflect the user's click on the specific situation, for example, the corresponding link of the mouse click, the screen resolution, the user IP address, the cookie, and the like.

For example, when the second website server captures the mouse click data, in the implementation, after the second website server reports the mouse click data to the data obtaining server, the data obtaining server can store the mouse click data. It can be saved in a fixed format during storage, which is convenient for subsequent data analysis server to extract and analyze, for example, using the following data format:

X=100Y=200dx=1024dy=768URL=www.alisoft.com

Where X is the distance from the mouse to the leftmost end of the page; Y is the distance from the top of the page when the mouse clicks; dx is the maximum width of the page (obtained by javascript to get the page attribute value); dy is the page's The maximum height (obtained by javascript to get the page property value); the URL is the address of the page where the mouse clicks.

In the implementation, a log file can be set on the data acquisition server. Each log record records a click behavior, for example, in the data format in the previous example, where the "=" sign is part of the format, and there is no The special meaning can also be replaced by ":". The meaning of this record is that the user clicks on the page "URL=www.alisoft.com" page size (dx=1024 page width, dy=768 page height), slide What is the position of the mouse click (X=100 distance from the left side of the page is Y=200 from the top of the page), the values of X and Y are recorded according to the actual position of the mouse click, and how many times X is Y The actual information depends.

In an embodiment, the data analysis server performs the statistics of the number of times the user accesses each area of the webpage according to the click data of the mouse, and may include: the data analysis server obtains the data of the mouse click data collected by the server and performs summary analysis. According to the click location parameter in the mouse click data, a click data set of each area is formed, and the click data set includes the number of times the user visits each area in the webpage.

In the implementation of the summary analysis of the mouse click data, you can count by the number of mouse clicks or by independent users (similar to PV and UV in traffic statistics). If you click on the number of mouse clicks to count each mouse click behavior, a user clicks multiple times to calculate multiple times; if it is counted by independent users, then one user clicks only once and does not repeat the calculation, which is equivalent. The number of statisticians. In the implementation, different statistical codes can be generated according to the user's choice. The method of independent user statistics will increase the mechanism of independent user judgment by counting the number of mouse clicks. This mechanism can be used to determine the way of combining cookies through the user IP address. That is, if the second website server determines that the user repeatedly clicks on the same area content according to the user IP address, cookie and click position parameter in the mouse click data, the repetition number is not included in the click data set. Click the number of visits by users in the dataset to the corresponding area of the page. For example, if the IPs are the same but the cookies are different, they can be considered as different users (it can be understood that different users use the same client device to access the network), and different IPs can be considered as different users.

In one embodiment, when the data analysis server forms the click data set of each area according to the click position parameter in the mouse click data, the data analysis server may include: the data analysis server generates a blank picture, and restores the click position parameter in the mouse click data. That is, the click position and other data are restored on the basis of the obtained click data, and the click position parameter is matched with the blank picture; wherein a specific embodiment of generating a blank picture may include: presetting a blank png format image file, The size of the png format image file is dynamically adjusted according to the actual size of the page included in the mouse click data. For example, in the data format in the previous example, dx=1024 page width, dy=768 page height, can be used to generate a blank page. The image can be decoded and re-encoded using the JAVA programming language after resizing. A specific embodiment for matching the click position parameter with the generated blank picture may include: drawing a point on the blank picture that has been adjusted in size, parsing the mouse click data, restoring the click position data, pressing the click position data in the blank picture Mark the corresponding position. Still in the data format of the previous example, for example, the position of the mouse click X=100 is the distance from the left side of the page, Y=200, from the top of the page, and can be used for drawing. In the implementation, if the mouse click data is recorded in a fixed pre-defined format, the process of parsing the click position parameter follows the same rules for parsing, and finally restores each data item to prepare for subsequent modeling; The default unit click effect diagram is used to identify each mouse click behavior of the user until the click data set modeling of each area is completed, and a click data modeling diagram is formed on the blank image. In a specific example, there may be multiple ways to draw a corresponding position on a blank picture by clicking the location data when matching, for example, using a preset unit click effect diagram to identify each mouse click behavior of the user, such as: The png image of a point is saved on the server, and each time the png image is copied to the corresponding position. The click data modeling diagram formed by the final modeling is the result of drawing the user's mouse click data according to the click position data by using the unit click effect graph on the blank image with the same page size, and the visual effect is on the blank page. There are dense points (of course, it may be very sparse, depending on the actual click data on the page).

After completing the statistics of the number of visits, the data analysis server matches the number of visits of each area with the corresponding area for the first website server to display the matching result. The image, the data, the text, and the like may be used when displaying the matching result, which is not limited in this application. For example, the number of visits of each area is inserted into the corresponding area of the webpage by means of data or text; for example, when displaying by image: the data analysis server will click the data modeling diagram after completing the click data set modeling. Conversion; wherein the converted picture is divided into different color areas according to the number of times the user accesses each area in the webpage. That is, the converted graphics will be divided into different color regions according to the intensity of the clicks. For example, the denser the click, the more vivid the color will be. On the contrary, the color of the clicked place should be lighter. The subsequent first web server can display the converted image.

In order to more clearly present the visual effect of the user's access behavior, the data analysis server can perform the format conversion on the click data modeling image, and then the converted image can be transparently processed.

In the implementation, the JAVA language can be used to decode the image, and then the corresponding attribute re-encoding can be used to complete the image processing, including processing of size conversion, format conversion, color change, etc. Of course, the transparency of the image is also the same, and the implementation is simple and convenient. . If the image is in png format, it can also be solved by using JavaScript in combination with style sheet (CSS). It is also simple to implement. In order to reduce the burden on the browser, you can put the transparency process on the server. . The aforementioned transparency processing is mainly for the subsequent presentation process. We finally hope to place the generated image directly on the webpage. The transparent effect can clearly see the content information in the corresponding webpage behind it. When performing display processing, a javascript script can be added to the webpage, and the transparently processed image can be downloaded and overlaid on the webpage and displayed by creating a new layer.

As shown in FIG. 2, in a specific example, the process of analyzing and modeling the mouse click data by the data analysis server may include: step 201: reading a user mouse click data record file; step 202, determining whether to read If yes, go to step 203, otherwise end the process; step 203, parse the user mouse click data record; step 204, restore the mouse click position; step 205, perform click data modeling; step 206, generate and reflect user access A visualized picture of web behavior.

In addition, in the implementation process of the embodiment of the present application, the Appache server can be used for software development, and the total number of times the user accesses the webpage and the number of accesses to each area in the webpage can be counted; the mop_imap mode in the Appache server can be used. The group conducts software development to determine the access results of each region; and it is easier and more convenient to match the access results of each region with the corresponding regions and display the matching results.

Based on the same application concept, the embodiment of the present application further provides a visual processing device for a user to access a webpage, and the structure thereof is as shown in FIG. 3, which may include: a statistics module 301, configured to count users according to the mouse click data of the user end. For the number of times of access to each area of the webpage, the areas are divided according to the content in the webpage; the matching module 302 is configured to match the number of times the user accesses each area of the webpage with the corresponding area; the display module 303 uses Shows the results of the match.

As shown in FIG. 4, in an embodiment, the statistic module 301 may include: an obtaining unit 401, configured to acquire mouse click data of the user end; and a calculating unit 402, configured to perform summary analysis on the mouse click data, according to the mouse Clicking on the location parameter in the profile forms a click dataset for each region, which includes the number of visits by the user to each region of the webpage.

In an embodiment, the calculating unit 402 is further configured to: according to the user IP address, the cookie, and the click location parameter in the mouse click data, determine that the user repeatedly clicks on the same area content, and the repeating of the click data set is not repeated. The number of times counts the number of visits by the user in the click data set to the corresponding area of the web page.

In an embodiment, the calculating unit 402 is further configured to: generate a blank picture, restore a click position parameter in the click data of the mouse, and match the blank picture; and use the preset unit click effect diagram to identify each of the users when matching The mouse clicks on the behavior until the click dataset modeling of each region is completed, and a click data modeling diagram is formed on the basis of the blank image.

In an embodiment, the matching module 302 is further configured to: convert the click data modeling image into a format; wherein, the converted image is divided into different color regions according to the number of times the user accesses each area in the webpage. .

In an embodiment, the matching module 302 can also be used to: transparently process the formatted image.

In one embodiment, the display module 303 can also be configured to: add a javascript script to the webpage, and download and overlay the transparentized image on the webpage by displaying a new layer.

The above device is actually a combination of the data analysis server and the second website server function in the visual processing method of the user's access to the webpage behavior. When implemented, the two may be implemented by a single entity, and of course, multiple entities are not excluded. The situation achieved. For the convenience of description, the above devices are described as being divided into various modules or units by function. Of course, the functions of the modules or units can be implemented in the same software or software and/or hardware in the implementation of the present application.

Based on the same application concept, the embodiment of the present application further provides a visual processing system for a user to access a webpage, and the structure thereof is as shown in FIG. 5, and may include: a data acquisition server 501, configured to receive a mouse click data of the collection user end; The data analysis server 502 is configured to collect the number of visits by the user to each area of the webpage according to the mouse click data collected by the server, and the areas are divided according to the content in the webpage; and The number of accesses of the area matches the corresponding area; the first website server 503 is configured to display the matching result of the data analysis server.

In an embodiment, the system shown in FIG. 5 may further include: a second website server 504, configured to capture the mouse click data of the user end and report to the data acquisition server.

The first website server, the data acquisition server, the data analysis server, and the second website server may be physically independent servers, or may be configured by functions in the same server. Or unit.

The following is an example of the operation mode of the visual processing system for explaining the behavior of the above-mentioned user accessing the web page. In this example, the visibility of the enterprise website product is visualized. Each area of the webpage is divided according to the display product. As shown in FIG. 6, the operation execution body includes: a visitor (ie, the aforementioned user), and a corporate website (ie, the foregoing (Web server), visitor mouse click data acquisition server (that is, the aforementioned data acquisition server), mouse click data analysis server (that is, the aforementioned data analysis server), product attention degree visualization processing system (ie, the aforementioned A website server), a corporate website decision maker. In this example, the visual processing process of the product website product attention degree may include: obtaining a visitor mouse click data and uploading it to a visitor mouse click data acquisition server; analyzing and modeling the data to generate a product attention hot spot map; Give corporate website decision makers.

When the enterprise website decision maker needs to view the product attention degree, the product attention degree visual processing system is triggered by the operation product attention visual processing system corresponding module, and the mouse clicks the data analysis server to issue a mature dot map request, and slides. The mouse clicks on the data analysis server to obtain the corresponding visitor mouse click data, and then performs a summary analysis to form a click data set of each product in the exhibit display area, and performs graphic modeling on the basis of the data set, and finally forms a product attention hot spot map.

The specific processing flow may be as follows: step 601, the visitor visits the enterprise website; step 602, the visitor clicks on the product information; step 603, the enterprise website obtains the mouse click data; step 604, the enterprise website uploads the obtained mouse click data to the visitor mouse Clicking on the data acquisition server; step 605, the visitor mouse clicks on the data acquisition server to save the mouse click data; step 606, the enterprise website decision maker logs in the product attention degree visual processing system; step 607, the enterprise website decision maker views the product attention degree Step 608, the product attention degree visualization processing system requests the mouse to click the data analysis server to generate a product attention hot spot map; step 609, the mouse clicks the data analysis server to request the visitor mouse to click the data acquisition server to provide the mouse click data. Step 610: The visitor mouse clicks on the data acquisition server to preprocess the stored mouse click data; in step 611, the visitor clicks the data acquisition server to return the pre-processing result data to the mouse click data analysis server; step 612 , click on the data analysis server to parse the mouse click line Step 613, the mouse clicks on the data analysis server to complete the mouse behavior modeling; step 614, the mouse clicks the data analysis server to generate a hotspot map reflecting the attention of the visiting website product; step 615, the mouse clicks the data analysis servo The device returns a hotspot map to the product attention visual processing system; step 616, the product attention visual processing system presents a product attention hotspot map to the enterprise website decision maker. When the generated product attention hotspot map is displayed to the website decision maker, add a javascript script on the exhibit attention display page, create a new layer, and then download and present the product focus map to the decision maker, because the hot map has been done. Transparent processing, so the image can be covered in the product display area, after completing this step, you can get a rough rendering. A specific rendering can be shown in Figure 7.

It can be seen that the embodiment of the present application compares the mouse click behavior of the visitor, establishes a corresponding click model, and finally summarizes and analyzes all the visitor behavior models, and finally reports the product with high attention and the product with low attention in the attention report. The visual presentation is clearly identified, visually showing the visitor's attention to the product visually and clearly to the website decision maker.

In addition, the product attention visual processing system can further develop and form a comprehensive platform for the management of enterprise website products. Through this platform, enterprises can also conveniently maintain and manage the product information on their own websites, and at the same time combine the two in the products. Deployment will also bring great convenience.

In the implementation of this example, the visitor mouse clicks on the data acquisition server and the mouse clicks on the data analysis server to use the Appache server for software development, which makes the implementation process easier. You can also use the mop_imap module in Appache for software. Development, making the modeling and visualization of data click data sets, that is, the generation of attention hotspot maps becomes convenient. The data acquisition server, the data analysis server, the first website server, and the second website server may be independent of multiple servers in physical properties, or may be set in the same server or servers according to functions.

In summary, in the embodiment of the present application, the mouse click data of the user end is collected; according to the collected mouse click data, the number of times the user visits each area of the webpage is counted; and the user accesses each area of the webpage. The number of times matches the corresponding area; the matching result is displayed, thereby visually presenting the user's access behavior to the content in the webpage, so that the user's attention to the content in the webpage is intuitive and clear, and by placing the user on each area of the webpage The number of visits matches the corresponding area, and the relationship between the user's attention to the content in the webpage and the corresponding content in the webpage is closely related, which is beneficial for the website decision maker to follow the user's access behavior to the webpage conveniently and accurately. Decision making.

The company includes various corporate organizations or unincorporated organizations such as companies, organizations, institutions, etc. The application of this application is not limited to corporate websites, and can be applied to government department websites, institution websites, association websites, and even personal websites.

It will be apparent to those skilled in the art that various modifications and changes may be made in the present application without departing from the spirit and scope of the application. Therefore, it is intended that the present invention cover the modifications and variations of the present invention.

301. . . Statistical module

302. . . Matching module

303. . . Display module

401. . . Acquisition unit

402. . . Computing unit

501. . . Data collection server

502. . . Data analysis server

503. . . First web server

504. . . Second web server

1 is a flowchart of a method for visual processing of a user accessing a webpage in an embodiment of the present application;

2 is a schematic diagram of a process of analyzing and modeling a click data of a mouse in an embodiment of the present application;

3 is a schematic structural diagram of a visual processing apparatus for a user to access a webpage behavior according to an embodiment of the present application;

4 is a schematic structural diagram of a statistical module in an embodiment of the present application;

FIG. 5 is a schematic structural diagram of a visual processing system for a user to access a webpage in an embodiment of the present application; FIG.

FIG. 6 is a flowchart of a process for visualizing the attention of an enterprise website product in the embodiment of the present application.

FIG. 7 is a schematic diagram showing the rendering effect of a product attention hotspot map in the embodiment of the present application.

Claims (14)

A visual processing method for a user to access a webpage behavior, the method comprising: collecting a mouse click data of a user end; and collecting, according to the collected mouse click data, a number of visits by the user to each area in the webpage; Each region displays different content of the product to divide the regions; and matches the number of visits by the user to each region in the webpage to match the corresponding region, to contact the user to pay attention to the content of each region in the webpage and the corresponding region. Relationship; visually displaying the matching result, wherein the statistic is performed according to the collected mouse click data, including: acquiring the collected mouse click data and performing summary analysis, and forming each area according to the click position parameter in the mouse click data Clicking on the data set, the click data set includes the number of visits by the user to each area of the webpage, and if the user repeatedly clicks on the same area content according to the user IP address, cookie, and click location parameter in the mouse click data, the When clicking on a dataset, the number of repetitions is not counted in the user of the clicked dataset. Web page visits corresponding region. The method of claim 1, wherein the collecting the user's mouse clicks on the data further includes: Embed javascript code in the webpage; trigger the onMouseDown event according to the user's mouse click behavior, add a script to capture the mouse click data of the user in the onMouseDown event, and report the mouse click data of the user through the httpRequest object. The method of claim 1, wherein the forming a click data set of each area according to the click position parameter in the mouse click data comprises: generating a blank image, and restoring the click position parameter in the mouse click data; Matching with the blank picture; when matching, use the preset unit click effect diagram to identify each mouse click behavior of the user, until the click data set modeling of each area is completed, and the click data modeling diagram is formed on the blank picture basis. . The method of claim 3, wherein the matching the number of accesses of the user to each area of the webpage to the corresponding area comprises: converting the click data modeling image; wherein, according to the user The number of visits to each area of the web page is different, and the converted picture is divided into different color areas. The method of claim 4, wherein after the click data modeling image is format converted, the method further comprises: translating the converted image. The method of claim 5, wherein the displaying the matching result comprises: adding a javascript script to the webpage, by creating a new layer, The transparently processed image is downloaded, overlaid on the web page and displayed. A visual processing device for a user to access a webpage behavior, comprising: a statistical module, configured to count, according to a mouse click data of a user end, a number of times of accessing a user to each area in the webpage, where the respective regions are based on content in the webpage The matching module is configured to match the number of times the user accesses each area of the webpage with the corresponding area; the display module is configured to visually display the matching result, wherein the statistical module includes: a computing unit, In the summary analysis of the mouse click data, the click data set of each area is formed according to the click position parameter in the mouse click data, the click data set includes the number of visits by the user to each area in the webpage, and according to the mouse click data The user IP address, the cookie, and the click location parameter determine that the user repeatedly clicks on the same area content, and when the click data set is formed, the number of repetitions is not counted in the number of visits by the user in the click data set to the corresponding area in the webpage. The device of claim 7, wherein the statistical module comprises: an obtaining unit, configured to acquire a mouse click data of the user end. The device of claim 8, wherein the calculating unit is further configured to: generate a blank picture, restore a click position parameter in the click data of the mouse, and match the blank picture; use a preset unit when matching Click on the rendering to identify each of the users The mouse clicks on the behavior until the click dataset modeling of each region is completed, and a click data modeling diagram is formed on the basis of the blank image. The device of claim 9, wherein the matching module is further configured to perform format conversion on the click data modeling image; wherein, after the user changes the number of accesses to each area in the webpage, The pictures are divided into different color areas. The device of claim 10, wherein the matching module is further configured to: transparently process the formatted image. The device of claim 11, wherein the display module is further configured to: add a javascript script to the webpage, and download and overlay the transparentized image on the webpage by creating a new layer and display. A visual processing system for a user to access a webpage behavior, comprising: a data acquisition server for collecting mouse click data of a user end; and a data analysis server for acquiring mouse click data collected by the server according to the data And counting the number of times the user visits each area in the webpage, the areas are divided according to the content in the webpage, and the number of visits by the user to each area in the webpage is matched with the corresponding area, so as to contact the user to each area of the webpage. The relationship between the degree of attention of the content and the corresponding area; the first website server is used to display the matching result of the data analysis server, Wherein, according to the mouse click data collected by the data acquisition server, the number of visits by the user to each area of the webpage is included: obtaining the collected mouse click data and performing summary analysis, forming according to the click position parameter in the mouse click data Click data set of each area, the click data set includes the number of visits by the user to each area of the webpage, and if the user repeatedly clicks on the same area content according to the user IP address, cookie and click location parameter in the mouse click data, When the click data set is formed, the number of repetitions is not counted in the number of visits by the user in the click data set to the corresponding area in the webpage. The system of claim 13, further comprising: a second website server, configured to capture a mouse click data of the user end and report the data to the data acquisition server.