CN102831148A - Method and device for loading recommended data based on browser - Google Patents

Abstract

The present invention provides a browser-based recommended data loading method and device, wherein the method includes: accessing a page and triggering a navigation completion event of the current web page; in response to the navigation completion event, detecting the Whether the rendering of the page is finished; if so, send the request information for the current web page, and obtain corresponding recommendation data from the server according to the request information; create a recommendation window based on the current browser window, and the recommendation window is corresponding to the current web page The window is superimposed and displayed; the acquired recommendation data is displayed in the recommendation window.

Description

A browser-based recommended data loading method and device

technical field

The invention relates to the technical field of browser processing, in particular to a method and device for loading recommended data based on a browser.

Background technique

A web browser is software that can display files on a web server or file system and allow users to interact with those files. It is used to display text, images and other information on the World Wide Web or a local area network, etc. These texts or images can be hyperlinks to other websites, and users can browse various information quickly and easily through a web browser. Web pages are generally in HTML format, and some web pages require a specific browser to display correctly. Common web browsers on personal computers include Microsoft's Internet Explorer, Opera, Mozilla's Firefox, Maxthon, and Safari.

In order to enrich the functions of the browser, when the user browses the current webpage, the browser will recommend some data related to the content of the current webpage to the user. Information.

In the prior art, there are mainly two ways to implement data recommendation:

1. Website developers directly modify the source code of the current web page to realize the data recommendation function;

2. By obtaining the Javascript script of the current webpage, filling the recommended data into the JAVA script, and finally injecting the JAVA script filled with the recommended data into the current webpage.

However, the above method of modifying the source code of a webpage can only display the data of the current webpage or website itself, and there is no interoperability between webpages or websites, so this method has strong limitations; although the method of injecting Javascript scripts can display other webpages or However, because the injected JAVA script depends on the code of the current web page, it is easy to conflict with the current web page.

Contents of the invention

The technical problem to be solved by the present invention is to provide a browser-based recommended data loading method and device, which can avoid the conflict and mutual influence between the recommended data and the current webpage, and realize the intercommunication between multiple webpages or websites, and improve user browsing experience. The user experience of the web page.

In order to solve the above problems, the present invention discloses a browser-based method for loading recommended data, including:

Visit the page and trigger the navigation completion event of the current web page;

In response to the navigation completion event, detect whether the rendering of the page ends according to a preset frequency;

If so, send request information for the current web page, and obtain corresponding recommendation data from the server according to the request information;

Create a recommended window based on the current browser window, and the recommended window and the window corresponding to the current webpage are superimposed and displayed;

The acquired recommendation data is displayed in the recommendation window.

Preferably, the step of creating a recommended window based on the current browser window includes:

Obtain the placement window of the current browser window;

A recommendation window is created with the placement window as a parent window, and the recommendation window is a pop-up window.

Preferably, the request information includes the Uniform Resource Locator of the current web page,

The step of obtaining corresponding recommendation data from the server according to the request information includes:

Match the Uniform Resource Locator of the current web page with the pre-stored Uniform Resource Locator;

The webpage data corresponding to the matched uniform resource locator is determined as the corresponding recommendation data.

Preferably, the request information includes the webpage title of the current webpage,

The step of obtaining corresponding recommendation data from the server according to the request information includes:

Match the webpage title of the current webpage with the pre-stored webpage title;

The webpage data corresponding to the matched webpage title is determined as the corresponding recommendation data.

Preferably, the request information includes the user's access behavior information in the current web page state, and the user's access behavior information is obtained through the following steps:

Statistical user's historical browsing website, according to the historical browsing website statistics user's webpage type of visiting webpage under the current webpage state;

If the number of times the user visits a type of webpage in the current webpage state is equal to or greater than the preset number of times, the user's access behavior information is determined as browsing this type of webpage, and this type of webpage is regarded as the user's attention Web page type.

Preferably, the step of obtaining corresponding recommendation data from the server according to the request information includes:

matching the types of webpages concerned by the user with pre-stored webpage types;

The webpage data corresponding to the matched webpage type is determined as the corresponding recommendation data.

Preferably, after the recommendation window is created, the following steps are further included:

Binding the attributes of the recommended window and the attributes of the current browser window to make them synchronized, the attributes include window size, position, and window display and hiding.

Preferably, the step of displaying the acquired recommendation data in the recommendation window includes:

Grouping the recommended data, respectively sorting the recommended data in the group and each group, and summarizing the corresponding group information, the group information being the first piece of recommended data in the group;

Calculate the number of display areas;

The grouping is adjusted according to the number of the display area, and the adjusted recommendation data is displayed in the display area.

Preferably, said grouping the recommendation data includes:

Count the categories of recommended data, and assign recommended data of the same category to the same group;

or,

Keywords in the recommendation data are extracted, and the recommendation data including the same keyword are assigned to the same group.

Preferably, the number of display areas is greater than the number of groups,

The grouping is then adjusted according to the number of the display areas, and the step of displaying the adjusted recommended data in the display areas includes:

Starting from the first group, split the recommendation data in the current group into multiple single recommendation data;

judging the relationship between the sum of the number of the single recommended data and the number of unsplit groups and the number of the display area;

The adjusted recommendation data is displayed in the display area according to the judgment result.

Preferably, the sum of the number of single recommendation data and the number of undivided groups is equal to the number of display areas,

Then displaying the adjusted recommendation data in the display area according to the judgment result includes:

The group information corresponding to the plurality of single recommendation data and the undivided group is displayed in the display area.

Preferably, the sum of the number of the single recommended data and the number of undivided groups is greater than the number of the display area,

Then displaying the adjusted recommendation data in the display area according to the judgment result includes:

calculating the difference between the sum and the number of display areas;

Starting from the last single recommendation data, delete the single recommendation data whose number is equal to the difference in the last single recommendation data;

The group information corresponding to the remaining single recommendation data and the undivided group is displayed in the display area.

Preferably, the sum of the number of single recommendation data and the number of undivided groups is less than the number of display areas,

Then displaying the adjusted recommendation data in the display area according to the judgment result includes:

The recommendation data in the next group is split into multiple single recommendation data and adjusted, and the adjusted recommendation data is displayed in the display area.

Preferably, the number of display areas is smaller than the number of groups,

The grouping is then adjusted according to the number of the display areas, and the step of displaying the adjusted recommended data in the display areas includes:

Subtracting the number of the display area from the number of groups to calculate the number of groups to be deleted;

Starting from the last group, delete the groups in the end group whose number is equal to the number of groups to be deleted;

The group information corresponding to the remaining groups is displayed in the display area.

Preferably, the step of detecting whether the rendering of the page is finished according to the preset frequency includes: obtaining the main object of the document element corresponding to the current web page;

Detecting whether the scroll bar of the subject object can scroll in a preset direction according to the preset frequency;

If yes, it is judged that the rendering of the page is completed.

On the other hand, the present invention also discloses a browser-based device for loading recommended data, including:

The trigger module is used to access the page and trigger the navigation completion event of the current web page;

A detection module, configured to detect whether the rendering of the page ends according to a preset frequency in response to the navigation completion event;

An acquisition module, configured to send request information for the current web page when the detection result of the detection module is yes, and obtain corresponding recommendation data from the server according to the request information;

Create module, be used for creating recommendation window based on current browser window, described recommendation window and the window corresponding to current web page are superimposedly displayed;

A display module, configured to display the acquired recommendation data in the recommendation window.

Preferably, the creation module includes:

The first obtaining submodule is used to obtain the placement window of the current browser window;

A submodule is created, which is used to create a recommendation window with the placement window as a parent window, and the recommendation window is a pop-up window.

Preferably, the request information includes the Uniform Resource Locator of the current web page,

The acquisition module includes:

The first matching submodule is used to match the URL of the current web page with the pre-stored URL;

The first determining submodule is configured to determine the webpage data corresponding to the matched uniform resource locator as corresponding recommendation data.

Preferably, the request information includes the webpage title of the current webpage,

The acquisition module includes:

The second matching submodule is used to match the webpage title of the current webpage with the pre-stored webpage title;

The second determining submodule is used to determine the webpage data corresponding to the matched webpage title as the corresponding recommendation data.

Preferably, the request information includes the user's access behavior information in the current web page state, and the user's access behavior information is obtained through the following modules:

Statistical module, used for counting historical browsing URLs of users, and counting webpage types of webpages accessed by users in the current webpage state according to the historical browsing URLs;

A judging module, configured to judge the user's access behavior information as browsing this type of webpage if the number of times the user visits a type of webpage in the current webpage state is equal to or greater than the preset number of times, and Type as the type of web page that the user follows.

Preferably, the acquisition module includes:

The third matching submodule is used to match the type of webpage concerned by the user with the type of webpage stored in advance;

The third determination submodule is used to determine the webpage data corresponding to the matched webpage type as the corresponding recommendation data.

Preferably, the device also includes:

The binding module is used to bind the attributes of the recommended window and the attributes of the current browser window to synchronize after the creation module creates the recommended window, and the attributes include window size, position, and display and hiding of the window.

Preferably, the display module includes:

The grouping sub-module is used to group the recommended data, sort the recommended data in the group and each group respectively, and summarize the corresponding group information, and the group information is the first piece of recommended data in the group;

Calculation sub-module, used to calculate the number of display areas;

The adjusting and displaying submodule is configured to adjust the grouping according to the number of the displaying areas, and display the adjusted recommended data in the displaying areas.

Preferably, the grouping submodule includes:

The statistical unit is used to count the categories of the recommended data, and assign the recommended data of the same category to the same group;

or,

The extracting unit is used to extract keywords in the recommendation data, and assign the recommendation data including the same keywords into the same group.

Preferably, the adjustment display submodule includes:

A splitting unit, configured to split the recommended data in the current group into a plurality of single recommended data starting from the first group when the number of the display areas is greater than the number of groups;

A judging unit, configured to judge the relationship between the sum of the number of the single recommended data and the number of undivided groups and the number of the display area;

The first display unit is configured to display the adjusted recommendation data in the display area according to the judgment result.

Preferably, the first display unit includes:

A first display subunit, configured to combine the plurality of single recommendation data with the unsplit group when the sum of the number of the single recommendation data and the number of unsplit groups is equal to the number of the display area The corresponding group information is displayed in the display area.

Preferably, the first display unit includes:

A calculation subunit, used to calculate the difference between the sum and the number of display areas when the sum of the number of single recommended data and the number of undivided groups is greater than the number of display areas;

The deletion subunit is used to delete the single recommendation data whose number is equal to the difference in the last single recommendation data sequentially starting from the last single recommendation data;

The second display subunit is configured to display in the display area the group information corresponding to the remaining single recommendation data and the undivided group.

Preferably, the first display unit includes:

The third display subunit is used to split the recommended data in the next group into multiple single recommended data when the sum of the number of the single recommended data and the number of unsplit groups is less than the number of the display area , and adjust, and display the adjusted recommendation data in the display area.

Preferably, the adjustment display submodule includes:

A calculation unit, used to calculate the number of groups to be deleted by subtracting the number of display areas from the number of groups when the number of display areas is less than the number of groups;

The deletion unit is used to sequentially delete the groupings whose number is equal to the number of groups to be deleted in the last grouping starting from the last grouping;

The second display unit is configured to display group information corresponding to the remaining groups in the display area.

Preferably, the detection module includes:

The second obtaining sub-module is used to obtain the main object of the document element corresponding to the current webpage;

The detection sub-module is used to detect whether the scroll bar of the subject object can be scrolled in a preset direction according to the preset frequency;

The judging submodule is configured to judge that the rendering of the page ends when the detection result of the detecting submodule is yes.

Compared with the prior art, the present invention includes the following advantages:

First, the present invention visits the page and triggers the navigation completion event of the current web page, and in response to the navigation completion event, detects whether the rendering of the page is completed according to the preset frequency, and starts loading the recommendation data after detecting that the rendering of the page is completed , by judging the loading timing of the recommended data, the loading speed of the recommended data is improved, and the user experience is improved.

Secondly, the present invention uses an independent windows window to implement data recommendation, creates a recommendation window based on the current browser window, and displays the recommendation data in the recommendation window. The implementation of its data recommendation is no longer dependent on the current webpage or website visited by the user, avoiding conflicts and mutual influence with the current webpage, and can also display the recommended data corresponding to other webpages or websites, thereby realizing multiple webpages or websites. Interoperability improves the user experience of users browsing the web.

Finally, when displaying recommended data, the present invention abandons the existing method of only using single data display or group display, and adopts a dynamic and self-adaptive recommended data display method to make the most efficient use of the display area. Compared with group display, this method can directly display the detailed information of a single data when the display area is sufficient, reducing the operation steps for users to obtain detailed information; compared with single data display, this method can display richer information in a limited display area recommended data to facilitate users to obtain more information.

Description of drawings

FIG. 1 is a flow chart of a recommended data loading method described in an embodiment of the present invention;

Fig. 2 is a schematic diagram of a single recommendation data display result of the recommendation window described in the embodiment of the present invention;

Fig. 3 is a schematic diagram of grouped display results of the recommendation window described in the embodiment of the present invention;

Fig. 4 is a structural block diagram of a recommended data loading device described in an embodiment of the present invention;

Fig. 5 is a structural block diagram of the detection module described in the embodiment of the present invention;

Fig. 6 is a structural block diagram of the acquisition module described in the embodiment of the present invention;

Fig. 7 is a structural block diagram of the creation module described in the embodiment of the present invention;

Fig. 8 is a structural block diagram of the display module described in the embodiment of the present invention;

Fig. 9 is a structural block diagram of the first display unit described in the embodiment of the present invention.

Detailed ways

In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

The present invention judges the best time to load the recommended data by detecting whether the rendering of the current page is finished. After the rendering of the page is finished, the recommended data is loaded, which improves the loading speed of the recommended data, and by acquiring the recommended data related to the current web page, Create a recommendation window based on a browser, and use an independent windows window to implement data recommendation, avoiding the conflict and mutual influence between the display of recommended data and the current web page, and can also realize the intercommunication between multiple web pages or websites to improve user experience . At the same time, the present invention adopts a dynamic and self-adaptive presentation mode of recommended data, which can utilize the display area most efficiently.

Referring to FIG. 1 , it shows a flow chart of a method for loading recommended data described in this embodiment, the method comprising:

Step S101, accessing a page and triggering a navigation completion event of the current web page.

Step S102 , in response to the navigation completion event, detecting whether the rendering of the page ends according to a preset frequency.

Wherein, the step of detecting whether the rendering of the page ends according to a preset frequency includes:

Sub-step a1, obtaining the main object of the document element corresponding to the current web page;

Sub-step a2, detecting whether the scroll bar of the subject object can scroll in a preset direction according to the preset frequency;

In sub-step a3, if the detection result of the above-mentioned sub-step a2 is yes, it is judged that the rendering of the page is completed.

Specifically, the processing process for the current web page is:

(1) Receive and respond to the Navigate Complete (navigation complete) event of the current web page.

(II) Start a 100ms timer in the Navigate Complete event response. Of course, the timer can also take any other value.

(III) Detect whether the current web page has been rendered in the response of the timer. Specifically, by obtaining the body object of the Document Element (text element) of the current webpage, use the doScroll method of the body object. If this method returns successfully, it means that the rendering of the webpage is completed, otherwise it means that it is not completed.

Before the webpage browsed by the user is fully displayed in terms of visual effects, the recommendation process is to maintain a lightweight operation (only check whether the rendering is completed in the timer, which consumes very little system resources and can be ignored), and then when the webpage is completely rendered , the recommendation process starts to start the network request and download (this action will more or less occupy network bandwidth, if it is not after the web page is rendered, it may have a slight impact on the data download of the web page), therefore, this process ensures that the user browses The basic need of web pages is not disturbed by the recommendation process, which further improves the user experience.

Step S103, if the detection result in step S102 is yes, then send request information for the current web page, and obtain corresponding recommendation data from the server according to the request information.

The browser obtains the request information corresponding to the current web page for the current web page, and then sends the request information to the server. Wherein, the request information includes the uniform resource locator of the current webpage, or the title of the current webpage, or the user's access behavior information in the current webpage state.

The request information may also include any two of the above information at the same time, or include the above three information at the same time.

Of course, the request information may also include other information about the current webpage, such as a certain keyword in the content of the current webpage, which is not limited in this embodiment of the present invention.

Wherein, the browser that sends the request information is usually located at the client, but not limited thereto, and the browser located at the server can also implement the recommended data acquisition method of this embodiment.

In the following, for the above three different request information, the process of obtaining the corresponding recommendation data will be introduced in detail respectively.

First case:

The request information includes the Uniform Resource Locator of the current webpage, and obtaining corresponding recommendation data from the server according to the request information includes the following substeps:

Sub-step 1, matching the URL of the current web page with the pre-stored URL.

After receiving the request information including the uniform resource locator of the current web page, the server matches it with the pre-stored uniform resource locator. Specifically, the matching may be performed according to the characteristics of the uniform resource locator, and the characteristic of the uniform resource locator may be a representative part taken from the complete uniform resource locator. For example, it may be only the domain name part of the web page, or a part indicating the file type, and so on. When matching, if the pre-stored Uniform Resource Locator contains the characteristics of the Uniform Resource Locator of the current webpage, it can be determined that the two match.

Wherein, because the URLs of different webpages are not exactly the same, the embodiment of the present invention adopts an approximate matching method, and the matching rules can be set in advance. If the locators match, it is determined that the webpage corresponding to the matched uniform resource locator is the desired webpage.

The matching of the uniform resource locator described in the embodiment of the present invention is not limited to the above method, and it is feasible for those skilled in the art to adopt any matching method.

In sub-step 2, the webpage data corresponding to the matched uniform resource locator is determined as the corresponding recommendation data.

The recommended data in this embodiment of the present invention may include multiple categories, and each category has a type, a name of the type, detailed data of the category, and so on.

For example, the type name of the category whose type is 0 is news, the type name of the category whose type is 1 is video, and the type name of the category whose type is 2 is shopping. The detailed data of each category includes two unified field information, title and thumbnail address, and different categories also include field information customized for this category. For example, the detailed data fields of video type also include video source, actors, etc. Field information, and the detailed data field of the shopping type also includes field information such as price and discount.

Second case:

The request information includes the web page title of the current web page, and obtaining corresponding recommendation data from the server according to the request information includes the following substeps:

Sub-step a, matching the webpage title of the current webpage with the pre-stored webpage title.

After the request information including the webpage title of the current webpage is sent to the server, the pre-stored webpage title is matched with the webpage title of the current webpage. This step can also adopt but not limited to an approximate matching method, for example, a certain keyword in the title of the webpage can be extracted for matching.

For example, if the webpage title of the current webpage is "Baidu Search-ipad", you can extract the keyword "ipad" for matching, and check whether the pre-stored webpage title contains the keyword "ipad". keywords, these webpage titles are used as the webpage titles matching the webpage title of the current webpage.

In sub-step b, the webpage data corresponding to the matched webpage title is determined as the corresponding recommendation data.

The third case:

The request information includes the user's access behavior information in the current web page state.

Firstly, the process of obtaining the user's access behavior information in the current web page state is introduced, which is executed by the browser and includes the following steps:

Step i, making statistics of the historical browsing URLs of the user, and counting the types of webpages visited by the user in the current webpage state according to the historical browsing URLs.

Wherein, the webpage visited by the user in the current webpage state refers to other webpages that the user has browsed through the current webpage during the historical browsing process, and further browsed while browsing the current webpage.

For example, when a user is currently browsing a certain webpage, the browser detects that the user has browsed the webpage before by counting the user's historical browsing URL, and in the process of browsing the webpage, enters other keywords in the search box to link to another webpage. web page, or by clicking on one of the links displayed on that web page to access another web page. Wherein, the other webpage mentioned is the webpage visited by the user in the current webpage state, and the webpage types of these webpages are counted according to the URLs of these webpages.

Step ii, if the number of times the user visits a type of webpage in the current webpage state is equal to or greater than the preset number of times, then determine the user’s access behavior information as browsing this type of webpage, and use this type of webpage as The types of webpages the user follows.

Wherein, the preset number of times can be set according to the actual situation, and the embodiment of the present invention does not limit the specific value.

The obtaining the corresponding recommendation data from the server according to the request information includes the following sub-steps:

Sub-step A, matching the types of webpages concerned by the user with pre-stored webpage types.

For example, if the type of the webpage concerned by the user is statistically of the news type, then the pre-stored webpage of the news type is used as the webpage matching the current webpage.

In sub-step B, the webpage data corresponding to the matched webpage type is determined as the corresponding recommendation data.

In this step S103, the above three different request information are mainly introduced. If the request information includes multiple information in the above information at the same time, or the request information also includes other information, the processing process can be combined Alternatively, similar processing may be performed, and this embodiment of the present invention will not be described in detail here.

Step S104, creating a recommended window based on the current browser window, and the recommended window is superimposed and displayed with the window corresponding to the current web page.

After obtaining the recommended data, the browser creates a recommended window for displaying the recommended data. The recommended window is an independent windows window, which does not depend on the current webpage or website and will not conflict with the current webpage or website. or interact with each other, and the recommendation window can display data from any other web page or website.

The step of creating a recommended window based on the current browser window includes:

Sub-step b1, obtaining the placement window of the current browser window;

Sub-step b2, using the placement window as a parent window to create a recommendation window, and the recommendation window is a pop-up window.

Preferably, after the recommendation window is created, the following steps are further included:

Binding the attributes of the recommended window and the attributes of the current browser window to make them synchronized, the attributes include window size, position, and window display and hiding.

Certainly, other window attributes may also be included, such as the color of the window, etc., which are not limited in this embodiment of the present invention.

Step S105, displaying the acquired recommendation data in the recommendation window.

In the embodiment of the present invention, during the display process of the recommended data, a dynamic adaptive recommended data display logic is adopted to adjust the grouping of the recommended data in real time, thereby maximizing the utilization of the display area.

The step S105 specifically includes:

Step 11, grouping the recommended data, respectively sorting the group and the recommended data in each group, and summarizing the corresponding group information, the group information being the first piece of recommended data in the group.

The grouping of recommendation data includes:

Count the categories of recommended data, and assign recommended data of the same category to the same group;

or,

Keywords in the recommendation data are extracted, and the recommendation data including the same keyword are assigned to the same group.

In the embodiment of the present invention, the recommended data can be grouped according to its type (each piece of recommended data sent by the server has a type ID, and the recommended data of the same type ID is merged), for example, after grouping, the recommended data are respectively There are three groups of news, video and pictures, and each group contains one or more single recommendation data, and the first piece of recommendation data in each group is used as the group information of the group. It is also possible to group according to keywords in the recommended data, for example, if multiple recommended data contain the keyword "ipad", these recommended data containing the same keyword "ipad" are assigned to the same group.

Of course, the embodiment of the present invention can also group the recommendation data according to other rules, and those skilled in the art can perform corresponding processing according to the actual situation, which is not limited in the embodiment of the present invention.

Step 12, calculate the number of display areas.

In the embodiment of the present invention, the calculation is performed according to the width of the browser. Specifically, first calculate the width of the browser, then divide the width of the browser by the width of a single display area, and take the integer part of the calculation result as the number of displayed display areas. Wherein, the width of the single display area is a fixed value, which can be configured in advance according to the actual situation.

Of course, those skilled in the art may also use other methods to calculate the number of display regions based on experience, which is not limited in this embodiment of the present invention.

Step 13, adjusting the grouping according to the number of the display area, and displaying the adjusted recommendation data in the display area.

This embodiment adjusts the grouping in real time according to the relationship between the number of display areas and the number of groups, specifically including the following three situations:

First case:

The number of display areas is greater than the number of groups.

The grouping is then adjusted according to the number of the display areas, and the step of displaying the adjusted recommended data in the display areas includes:

(1) Starting from the first group, split the recommendation data in the current group into multiple single recommendation data.

Since each group includes one or more recommended data when grouping the recommended data, this step can directly split the current group into multiple single recommended data, and mark the group as a split mode.

(2) Determine the size relationship between the sum of the number of the single recommended data and the number of undivided groups and the number of the display area.

(3) Displaying the adjusted recommendation data in the display area according to the judgment result.

① The sum of the number of single recommended data and the number of undivided groups is equal to the number of the display area, then displaying the adjusted recommended data in the display area according to the judgment result includes:

The group information corresponding to the plurality of single recommendation data and the undivided group is displayed in the display area.

Preferably, the display form of the single recommended data in this embodiment of the present invention can be expressed as: group type name (that is, the type name of the group to which these single recommended data belong)+title (title) of data 1+title of data 2+... + the title of data n, and mark it as split mode. The display form of the unsplit group data can be expressed as: group type name (that is, the type name of the current unsplit group) + the group information corresponding to the current unsplit group (the title of the first recommended data in the current group ), and mark it as group mode.

In practice, the display area can be set in the data display control, and each group is displayed using a display control, and when displaying in group mode, each display control only includes one display area, while in split mode, each The number of display areas included in a presentation control is determined according to the actual number of single recommendation data to be displayed.

It should be noted that the embodiment of the present invention is not limited to the above display forms, and any other display form that can display the recommended data in the embodiment of the present invention is feasible.

② The sum of the number of the single recommended data and the number of undivided groups is greater than the number of the display area,

Then displaying the adjusted recommendation data in the display area according to the judgment result includes:

calculating the difference between the sum and the number of display areas;

Starting from the last single recommendation data, delete the single recommendation data whose number is equal to the difference in the last single recommendation data;

The group information corresponding to the remaining single recommendation data and the undivided group is displayed in the display area.

③ The sum of the number of the single recommended data and the number of unsplit groups is less than the number of the display area,

Then displaying the adjusted recommendation data in the display area according to the judgment result includes:

The recommendation data in the next group is split into multiple single recommendation data and adjusted, and the adjusted recommendation data is displayed in the display area.

If the number of display areas after splitting the current group is still greater than the sum of the number of single recommended data after splitting and the number of unsplit groups, the next group will be split according to the above current grouping method, after splitting Continue to compare and adjust it according to the above method, and finally display the recommended data in the display area. The specific adjustment method is similar to the above process, and will not be described in detail here in the embodiment of the present invention.

For example, after grouping, the recommended data are divided into three groups: news, video, and picture. Among them, the news group includes 3 recommended data, the video group includes 4 recommended data, and the picture group includes 2 recommended data.

If it is calculated that there are 4 display areas, the news grouping is split into 3 single recommendation data. At this time, the sum of the number of single data and the number of unsplit groups (video grouping and picture grouping) is 5, which is greater than To display the number of regions, delete the last recommendation data split from the news group, and then display the remaining two single recommendation data in the news group, the group information corresponding to the video group and the group information corresponding to the picture group in 4 display areas.

If it is calculated that there are 5 display areas, then split the news group into 3 single recommendation data. At this time, the sum of the number of single data and the number of undivided groups (video group and picture group) is 5, which is equal to For the number of display areas, the 3 single recommendation data separated from the news group, the group information corresponding to the video group and the group information corresponding to the picture group are displayed in 5 display areas.

If it is calculated that there are 6 display areas, split the news group into 3 single recommendation data, and at this time the sum of the number of single data and the number of unsplit groups (video group and picture group) is 5, which is less than The number of display areas, then continue to split the video group into 4 single recommendation data. At this time, the sum of the number of single data (7) and the number of undivided groups (picture groups) is 8, which is greater than the number of display areas. number, delete the last 2 single recommendation data split from the video group, and then delete the 3 single recommendation data in the news group, the remaining 2 single recommendation data in the video group and the group corresponding to the picture group Information is displayed in 6 display areas.

Second case:

If the number of the display areas is equal to the number of groups, then the group information corresponding to the groups is directly displayed in the display area.

The third case:

the number of display areas is less than the number of groups,

The grouping is then adjusted according to the number of the display areas, and the step of displaying the adjusted recommended data in the display areas includes:

Subtracting the number of the display area from the number of groups to calculate the number of groups to be deleted;

Starting from the last group, delete the groups in the end group whose number is equal to the number of groups to be deleted;

The group information corresponding to the remaining groups is displayed in the display area.

For example, after grouping, the recommended data are divided into three groups: news, video, and picture. Among them, the news group includes 3 recommended data, the video group includes 4 recommended data, and the picture group includes 2 recommended data.

If the calculated number of display areas is 2, which is less than the number of groups, delete the picture group, and then display the group information corresponding to the news group and the group information corresponding to the video group in the two display areas.

Referring to FIG. 2 , it shows a schematic diagram of a single recommendation data display result of the recommendation window described in the embodiment of the present invention.

The title of current webpage among Fig. 2 is " Baidu search-ipad ", as can be seen, its recommendation window is positioned at the below of the corresponding window of current webpage (recommendation window can also be positioned at other positions in the embodiment of the present invention), obtains after calculation It includes 3 display areas, and each display area displays a single recommendation data. When the user needs a recommendation data in the browser, click the corresponding display area in the recommendation window to link to the corresponding recommendation data. webpage.

Fig. 3 is a schematic diagram of the group display results of the recommendation window described in the embodiment of the present invention. It can be seen that the recommendation window includes a display area after calculation, and the current recommendation data is displayed in the form of grouping in the display area, and "(5)" below "Popularity Hot Selling" in the figure indicates that the group includes 5 single recommendation data. By moving the mouse to any position in the recommendation window, the current group can be expanded to display the detailed data, or, by moving the mouse to the recommendation window and then clicking the mouse, the current group can be expanded.

Of course, other methods can also be used to expand the current group, and the embodiment of the present invention does not limit the specific expansion method.

First, the embodiment of the present invention visits the page and triggers the navigation completion event of the current web page, and in response to the navigation completion event, detects whether the rendering of the page is completed according to the preset frequency, and starts loading when it is detected that the rendering of the page is complete The recommended data, by judging the loading timing of the recommended data, improves the loading speed of the recommended data and improves the user experience.

Secondly, in the embodiment of the present invention, an independent windows window is used to implement data recommendation, and the recommendation data is displayed in the recommendation window by creating a recommendation window based on the current browser window. The implementation of its data recommendation is no longer dependent on the current webpage or website visited by the user, avoiding conflicts and mutual influence with the current webpage, and can also display the recommended data corresponding to other webpages or websites, thereby realizing multiple webpages or websites. Interoperability improves the user experience of users browsing the web.

Finally, the embodiment of the present invention abandons the existing method of only using single data display or group display when displaying recommended data, and adopts a dynamic and adaptive recommended data display method to make the most efficient use of the display area. Compared with group display, this method can directly display the detailed information of a single data when the display area is sufficient, reducing the operation steps for users to obtain detailed information; compared with single data display, this method can display richer information in a limited display area recommended data to facilitate users to obtain more information.

Referring to Fig. 4, it shows a structural block diagram of a recommended data loading device according to an embodiment of the present invention, the device includes:

The triggering module 401 is used for accessing a page and triggering a navigation completion event of the current web page.

The detection module 402 is configured to detect whether the rendering of the page is finished according to a preset frequency in response to the navigation completion event.

As shown in Figure 5, the detection module 402 includes:

The second obtaining sub-module 501 is used to obtain the subject object of the document element corresponding to the current webpage;

The detection sub-module 502 is configured to detect whether the scroll bar of the subject object can be scrolled in a preset direction according to the preset frequency;

The judging submodule 503 is configured to judge that the rendering of the page ends when the detection result of the detection submodule is yes.

The obtaining module 403 is configured to send request information for the current webpage when the detection result of the detection module is yes, and obtain corresponding recommendation data from the server according to the request information.

Referring to FIG. 6 , it shows a structural block diagram of the acquiring module.

(1) The request information includes the Uniform Resource Locator of the current web page,

The acquisition module 403 includes:

The first matching submodule 601 is configured to match the URL of the current web page with the pre-stored URL;

The first determining sub-module 602 is configured to determine the webpage data corresponding to the matched uniform resource locator as corresponding recommendation data.

(2) the request information includes the webpage title of the current webpage,

The acquisition module 403 also includes:

The second matching submodule 603 is used to match the webpage title of the current webpage with the pre-stored webpage title;

The second determination sub-module 604 is configured to determine the webpage data corresponding to the matched webpage title as the corresponding recommendation data.

(3) The request information includes the user's access behavior information in the current web page state,

The user's access behavior information is obtained through the following modules:

Statistical module 404, used for counting the historical browsing URLs of users, and counting the types of webpages that users visit webpages in the current webpage state according to the historical browsing URLs;

Judging module 405, used to determine the user's access behavior information as browsing this type of webpage if the number of times the user visits a type of webpage in the current webpage state is equal to or greater than the preset number of times, and The webpage type is the type of webpage that the user pays attention to.

The acquisition module 403 also includes:

The third matching submodule 605 is configured to match the type of webpage concerned by the user with the type of pre-stored webpage;

The third determination sub-module 606 is configured to determine the webpage data corresponding to the matched webpage type as the corresponding recommendation data.

It should be noted that the first matching submodule and the first determining submodule, the second matching submodule and the second determining submodule, and the third matching submodule and the third determining submodule may exist at the same time. When the request information includes different When the content is displayed, the corresponding sub-module is called for processing. However, those skilled in the art should understand that the data recommending device may only include one or several combinations of the above-mentioned sub-modules, and other cases may be handled in other appropriate ways similar to existing sub-modules.

The creating module 406 is configured to create a recommended window based on the current browser window, and the recommended window is superimposed and displayed with the window corresponding to the current webpage.

As shown in Figure 7, the creation module 406 includes:

The first obtaining submodule 701 is used to obtain the placement window of the current browser window;

The creation sub-module 702 is configured to use the placement window as a parent window to create a recommendation window, and the recommendation window is a pop-up window.

Preferably, the device also includes:

The binding module 407 is used to bind the attributes of the recommended window and the attributes of the current browser window to synchronize after the creation module creates the recommended window, and the attributes include window size, position, and display and hiding of the window .

A display module 408, configured to display the acquired recommendation data in the recommendation window.

As shown in FIG. 8, the display module 408 includes:

The grouping sub-module 801 is used to group the recommended data, sort the recommended data in the group and each group respectively, and summarize the corresponding group information, and the group information is the first piece of recommended data in the group ;

Calculation sub-module 802, used to calculate the number of display areas;

The adjusting display submodule 803 is configured to adjust the grouping according to the number of the display area, and display the adjusted recommendation data in the display area.

Wherein, the grouping submodule 801 includes:

The statistics unit 8011 is used to count the categories of the recommended data, and assign the recommended data of the same category to the same group;

or,

The extracting unit 8012 is configured to extract keywords in the recommendation data, and assign the recommendation data including the same keywords into the same group.

The adjustment display submodule 803 includes:

A splitting unit 8031, configured to split the recommended data in the current group into multiple single recommended data starting from the first group when the number of display areas is greater than the number of groups;

A judging unit 8032, configured to judge the relationship between the sum of the number of the single recommendation data and the number of undivided groups and the number of the display area;

The first display unit 8033 is configured to display the adjusted recommendation data in the display area according to the judgment result.

As shown in Figure 9, the first display unit 8033 includes:

The first display subunit 901 is configured to combine the plurality of single recommendation data and the undivided group numbers when the sum of the number of single recommendation data and the number of undivided groups is equal to the number of display areas. The group information corresponding to the group is displayed in the display area.

A calculating subunit 902, configured to calculate a difference between the sum and the number of display areas when the sum of the number of single recommended data and the number of undivided groups is greater than the number of display areas;

The deletion subunit 903 is used to delete the single recommendation data whose number is equal to the difference in the last single recommendation data sequentially starting from the last single recommendation data;

The second display subunit 904 is configured to display in the display area the group information corresponding to the remaining single recommendation data and the undivided group.

The third display subunit 905 is used for splitting the recommendation data in the next group into multiple single recommendations when the sum of the number of the single recommendation data and the number of unsplit groups is less than the number of the display area data, and make adjustments, and display the adjusted recommended data in the display area.

The adjustment display submodule 803 also includes:

A calculation unit 8034, configured to subtract the number of display areas from the number of groups to calculate the number of groups to be deleted when the number of display areas is less than the number of groups;

Deleting unit 8035, for starting from the last group, delete the groups whose number in the end group is equal to the number of groups to be deleted in sequence;

The second display unit 8036 is configured to display group information corresponding to the remaining groups in the display area.

First, the embodiment of the present invention visits the page and triggers the navigation completion event of the current web page, and in response to the navigation completion event, detects whether the rendering of the page is completed according to the preset frequency, and starts loading when it is detected that the rendering of the page is complete The recommended data, by judging the loading timing of the recommended data, improves the loading speed of the recommended data and improves the user experience.

Secondly, in the embodiment of the present invention, an independent windows window is used to implement data recommendation, and the recommendation data is displayed in the recommendation window by creating a recommendation window based on the current browser window. The implementation of its data recommendation is no longer dependent on the current webpage or website visited by the user, avoiding conflicts and mutual influence with the current webpage, and can also display the recommended data corresponding to other webpages or websites, thereby realizing multiple webpages or websites. Interoperability improves the user experience of users browsing the web.

Finally, the embodiment of the present invention abandons the existing method of only using single data display or group display when displaying recommended data, and adopts a dynamic and adaptive recommended data display method to make the most efficient use of the display area. Compared with group display, this method can directly display the detailed information of a single data when the display area is sufficient, reducing the operation steps for users to obtain detailed information; compared with single data display, this method can display richer information in a limited display area recommended data to facilitate users to obtain more information.

As for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for the related parts, please refer to the part of the description of the method embodiment.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other. The device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network elements. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without creative effort.

Embodiments of the present invention can be implemented on any device (or devices) that supports graphics processing, Internet content retrieval and rendering. These devices include, but are not limited to, personal computers, cluster servers, mobile phones, workstations, embedded systems, game consoles, televisions, set-top boxes, or any other computing device that supports computer graphics and content display. These means may include, but are not limited to, means having one or more processors and memory for executing and storing instructions. These means may include software, firmware and hardware. Software may include one or more application programs and operating systems. Hardware may include, but is not limited to, processors, memory, and displays.

Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, apparatuses, or computer program products. Accordingly, the present invention can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

While preferred embodiments of the present invention have been described, additional changes and modifications can be made to these embodiments by those skilled in the art once the basic inventive concept is appreciated. Therefore, it is intended that the appended claims be construed to cover the preferred embodiment as well as all changes and modifications which fall within the scope of the invention.

Finally, it should also be noted that in this text, relational terms such as first and second etc. are only used to distinguish one entity or operation from another, and do not necessarily require or imply that these entities or operations, any such actual relationship or order exists. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

A browser-based recommended data loading method and device provided by the present invention has been introduced in detail above. In this paper, specific examples are used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only for To help understand the method of the present invention and its core idea; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation and scope of application. In summary, the content of this specification It should not be construed as a limitation of the invention.

Claims (30)

1. A browser-based recommended data loading method, characterized in that, comprising: Visit the page and trigger the navigation completion event of the current web page; In response to the navigation completion event, detect whether the rendering of the page ends according to a preset frequency; If so, send request information for the current web page, and obtain corresponding recommendation data from the server according to the request information; Create a recommended window based on the current browser window, and the recommended window and the window corresponding to the current webpage are superimposed and displayed; The acquired recommendation data is displayed in the recommendation window. 2. The method according to claim 1, wherein the step of creating a recommended window based on the current browser window comprises: Obtain the placement window of the current browser window; A recommendation window is created with the placement window as a parent window, and the recommendation window is a pop-up window. 3. The method according to claim 1, wherein the request information includes the Uniform Resource Locator of the current web page, The step of obtaining corresponding recommendation data from the server according to the request information includes: Match the Uniform Resource Locator of the current web page with the pre-stored Uniform Resource Locator; The webpage data corresponding to the matched uniform resource locator is determined as the corresponding recommendation data. 4. The method according to claim 1, wherein the request information includes the webpage title of the current webpage, The step of obtaining corresponding recommendation data from the server according to the request information includes: Match the webpage title of the current webpage with the pre-stored webpage title; The webpage data corresponding to the matched webpage title is determined as the corresponding recommendation data. 5. The method according to claim 1, wherein the request information includes the user's access behavior information in the current web page state, and the user's access behavior information is obtained through the following steps: Statistical user's historical browsing website, according to the historical browsing website statistics user's webpage type of visiting webpage under the current webpage state; If the number of times the user visits a type of webpage in the current webpage state is equal to or greater than the preset number of times, the user's access behavior information is determined as browsing this type of webpage, and this type of webpage is regarded as the user's attention Web page type. 6. The method according to claim 5, wherein the step of obtaining the corresponding recommendation data from the server according to the request information comprises: matching the types of webpages concerned by the user with pre-stored webpage types; The webpage data corresponding to the matched webpage type is determined as the corresponding recommendation data. 7. The method according to claim 1, further comprising the steps of: Binding the attributes of the recommended window and the attributes of the current browser window to make them synchronized, the attributes include window size, position, and window display and hiding. 8. The method according to claim 1, wherein the step of displaying the acquired recommendation data in the recommendation window comprises: Grouping the recommended data, respectively sorting the recommended data in the group and each group, and summarizing the corresponding group information, the group information being the first piece of recommended data in the group; Calculate the number of display areas; The grouping is adjusted according to the number of the display area, and the adjusted recommendation data is displayed in the display area. 9. The method according to claim 8, wherein said grouping the recommended data comprises: Count the categories of recommended data, and assign recommended data of the same category to the same group; or, Keywords in the recommendation data are extracted, and the recommendation data including the same keyword are assigned to the same group. 10. The method according to claim 8, wherein the number of the display areas is greater than the number of groups, The grouping is then adjusted according to the number of the display areas, and the step of displaying the adjusted recommended data in the display areas includes: Starting from the first group, split the recommendation data in the current group into multiple single recommendation data; judging the relationship between the sum of the number of the single recommended data and the number of unsplit groups and the number of the display area; The adjusted recommendation data is displayed in the display area according to the judgment result. 11. The method according to claim 10, wherein the sum of the number of the single recommended data and the number of undivided groups is equal to the number of the display area, Then displaying the adjusted recommendation data in the display area according to the judgment result includes: The group information corresponding to the plurality of single recommendation data and the undivided group is displayed in the display area. 12. The method according to claim 10, wherein the sum of the number of the single recommended data and the number of undivided groups is greater than the number of the display areas, Then displaying the adjusted recommendation data in the display area according to the judgment result includes: calculating the difference between the sum and the number of display areas; Starting from the last single recommendation data, delete the single recommendation data whose number is equal to the difference in the last single recommendation data; The group information corresponding to the remaining single recommendation data and the undivided group is displayed in the display area. 13. The method according to claim 10, wherein the sum of the number of the single recommendation data and the number of undivided groups is less than the number of the display areas, Then displaying the adjusted recommendation data in the display area according to the judgment result includes: The recommendation data in the next group is split into multiple single recommendation data and adjusted, and the adjusted recommendation data is displayed in the display area. 14. The method according to claim 8, wherein the number of the display areas is smaller than the number of groups, The grouping is then adjusted according to the number of the display areas, and the step of displaying the adjusted recommended data in the display areas includes: Subtracting the number of the display area from the number of groups to calculate the number of groups to be deleted; Starting from the last group, delete the groups in the end group whose number is equal to the number of groups to be deleted; The group information corresponding to the remaining groups is displayed in the display area. 15. The method according to claim 1, wherein the step of detecting whether the rendering of the page ends according to a preset frequency comprises: acquiring the main object of the document element corresponding to the current webpage; Detecting whether the scroll bar of the subject object can scroll in a preset direction according to the preset frequency; If yes, it is judged that the rendering of the page is completed. 16. A browser-based recommended data loading device, characterized in that it comprises: The trigger module is used to access the page and trigger the navigation completion event of the current web page; A detection module, configured to detect whether the rendering of the page ends according to a preset frequency in response to the navigation completion event; An acquisition module, configured to send request information for the current web page when the detection result of the detection module is yes, and obtain corresponding recommendation data from the server according to the request information; Create module, be used for creating recommendation window based on current browser window, described recommendation window and the window corresponding to current web page are superimposedly displayed; A display module, configured to display the acquired recommendation data in the recommendation window. 17. The device according to claim 16, wherein the creation module comprises: The first obtaining submodule is used to obtain the placement window of the current browser window; A submodule is created, which is used to create a recommendation window with the placement window as a parent window, and the recommendation window is a pop-up window. 18. The device according to claim 16, wherein the request information includes the Uniform Resource Locator of the current web page, The acquisition module includes: The first matching submodule is used to match the URL of the current web page with the pre-stored URL; The first determining submodule is configured to determine the webpage data corresponding to the matched uniform resource locator as corresponding recommendation data. 19. The device according to claim 16, wherein the request information includes a web page title of the current web page, The acquisition module includes: The second matching submodule is used to match the webpage title of the current webpage with the pre-stored webpage title; The second determining submodule is used to determine the webpage data corresponding to the matched webpage title as the corresponding recommendation data. 20. The device according to claim 16, wherein the request information includes the user's access behavior information in the current web page state, and the user's access behavior information is obtained through the following modules: Statistical module, used for counting historical browsing URLs of users, and counting webpage types of webpages accessed by users in the current webpage state according to the historical browsing URLs; A judging module, configured to judge the user's access behavior information as browsing this type of webpage if the number of times the user visits a type of webpage in the current webpage state is equal to or greater than the preset number of times, and Type as the type of web page that the user follows. 21. The device according to claim 20, wherein the acquiring module comprises: The third matching submodule is used to match the type of webpage concerned by the user with the type of webpage stored in advance; The third determining submodule is used to determine the webpage data corresponding to the matched webpage type as the corresponding recommendation data. 22. The apparatus of claim 16, further comprising: The binding module is used to bind the attributes of the recommended window and the attributes of the current browser window to synchronize after the creation module creates the recommended window, and the attributes include window size, position, and display and hiding of the window. 23. The device according to claim 16, wherein the display module comprises: The grouping sub-module is used to group the recommended data, sort the recommended data in the group and each group respectively, and summarize the corresponding group information, and the group information is the first piece of recommended data in the group; Calculation sub-module, used to calculate the number of display areas; The adjusting display submodule is used to adjust the grouping according to the number of the display areas, and display the adjusted recommendation data in the display areas. 24. The device according to claim 23, wherein the grouping submodule comprises: The statistical unit is used to count the categories of the recommended data, and assign the recommended data of the same category to the same group; or, The extracting unit is used to extract keywords in the recommendation data, and assign the recommendation data including the same keywords into the same group. 25. The device according to claim 23, wherein the adjustment display submodule comprises: A splitting unit, configured to split the recommended data in the current group into a plurality of single recommended data starting from the first group when the number of the display areas is greater than the number of groups; A judging unit, configured to judge the relationship between the sum of the number of the single recommendation data and the number of undivided groups and the number of the display area; The first display unit is configured to display the adjusted recommendation data in the display area according to the judgment result. 26. The device according to claim 25, wherein the first display unit comprises: A first display subunit, configured to combine the plurality of single recommendation data with the unsplit group when the sum of the number of the single recommendation data and the number of unsplit groups is equal to the number of the display area The corresponding group information is displayed in the display area. 27. The device according to claim 25, wherein the first display unit comprises: A calculation subunit, used to calculate the difference between the sum and the number of display areas when the sum of the number of single recommended data and the number of undivided groups is greater than the number of display areas; The deletion subunit is used to delete the single recommendation data whose number is equal to the difference in the last single recommendation data sequentially starting from the last single recommendation data; The second display subunit is configured to display the group information corresponding to the remaining single recommendation data and the undivided group in the display area. 28. The device according to claim 25, wherein the first display unit comprises: The third display subunit is used to split the recommended data in the next group into multiple single recommended data when the sum of the number of the single recommended data and the number of unsplit groups is less than the number of the display area , and adjust, and display the adjusted recommendation data in the display area. 29. The device according to claim 23, wherein the adjustment display submodule comprises: A calculation unit, used to calculate the number of groups to be deleted by subtracting the number of display areas from the number of groups when the number of display areas is less than the number of groups; The deletion unit is used to sequentially delete the groupings whose number is equal to the number of groups to be deleted in the last grouping starting from the last grouping; The second display unit is configured to display group information corresponding to the remaining groups in the display area. 30. The device according to claim 16, wherein the detection module comprises: The second obtaining sub-module is used to obtain the main object of the document element corresponding to the current web page; The detection sub-module is used to detect whether the scroll bar of the subject object can be scrolled in a preset direction according to the preset frequency; The judging submodule is configured to judge that the rendering of the page ends when the detection result of the detection submodule is yes.

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