Webpage tag management method and device, equipment, medium and computer program product

Abstract

The invention discloses a webpage tag management method, device and equipment, a medium and a computer program product. The method comprises the following steps: acquiring webpage browsing data of a user; according to the webpage browsing data, analyzing the matching degree between the head tag of the current webpage and the webpage content and the correlation degree between the head tag of the current webpage and the user preference to obtain an analysis result; and dynamically adjusting the head label of the current webpage according to a preset label weight sorting rule and a hidden display control algorithm based on the analysis result. According to the method, by setting the label weight sorting rule and the hidden display control algorithm, the webpage head label can be dynamically adjusted according to different scenes and user requirements.

Description

Technical Field

[0001] The present invention relates to the field of network / browser technology, and in particular to a web page tag management method, device, equipment, medium and computer program product. Background Art

[0002] The header tag of a web page contains various meta information and links, such as the title, keywords, description and other information of the web page, as well as the reference links such as the style sheet and interactive script of the page. These elements have a vital impact on the recognition of the website, the performance of the web page and the user experience. Especially in the era of big data where the value of data is given more attention, the header content of the web page is also crucial for search engine optimization. By mining the value of this data, users can be served faster, more accurately and better.

[0003] At present, the content of the header tag of a web page is usually manually edited by web developers. When developing a web page, web developers either manually write the HTML code of the web page to add, delete or modify the elements in the header tag, or generate it through some configuration scripts. However, these actions are performed during the web page development stage. After the web page is published to the Internet, it is generally not updated again. If any modification occurs, it needs to be republished to the Internet. The above method is not only inefficient, but also prone to errors and omissions. In addition, the content of the header tag of the web page is relatively fixed, which makes it difficult to adapt to the personalized needs of different users, and it is also impossible to flexibly adjust it for different devices or situations. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a web page tag management method, device, equipment, medium and computer program product, set tag weight sorting rules and visibility control algorithm, and dynamically adjust web page header tags according to different scenarios and user needs.

[0005] In order to achieve the above object, an embodiment of the present invention provides a web page tag management method, comprising:

[0006] Get the user's web browsing data;

[0007] According to the web browsing data, analyzing the matching degree between the header tag of the current web page and the web page content, and the correlation degree between the header tag and the user preference, to obtain an analysis result;

[0008] Based on the analysis result, the header tags of the current webpage are dynamically adjusted according to the preset tag weight sorting rules and the hidden and visible control algorithm.

[0009] As an improvement of the above solution, the web browsing data includes web page access history data, device type data, location data and user behavior data;

[0010] Among them, the web page access history data and the location data are obtained by calling the WEB API provided by the browser; the device type data is obtained by parsing the user agent string; the user behavior data is obtained by data embedding and counting user clicks and feedback forms.

[0011] As an improvement of the above solution, the matching degree between the header tag of the current web page and the web page content, and the correlation degree between the header tag and the user demand are analyzed according to the web page browsing data to obtain the analysis result, including:

[0012] According to the web page access history data, the location data and the user behavior data, natural language processing and / or machine learning algorithms are used to extract keywords and analyze the matching degree between the header tag of the current web page and the web page content;

[0013] Based on the web page access history data, the location data, and the user behavior data, natural language processing and / or machine learning algorithms are used to identify user preferences and analyze the correlation between the header tag of the current web page and the user preferences;

[0014] The analysis result is obtained according to the matching degree and the correlation degree.

[0015] As an improvement of the above solution, based on the analysis result, according to the preset tag weight sorting rules and hidden and visible control algorithm, the head tag of the current webpage is dynamically adjusted, including:

[0016] According to the matching degree between the head tag of the current web page and the web page content, a number of tags are determined, and a weight value is assigned to each tag; wherein the size of the weight value determines the display priority of the tag in the head element of the web page;

[0017] According to the weight values, the tags are sorted and several candidate tags are selected;

[0018] According to the device type data, determining whether the candidate tag should be displayed in the header of the webpage, and obtaining a hidden / displayed determination result;

[0019] According to the hidden and visible judgment result, the elements in the head tag of the current webpage are dynamically adjusted.

[0020] As an improvement of the above solution, the method further includes:

[0021] Real-time monitoring of the basic data and content of the current web page;

[0022] If the basic data and / or the web page content changes, the matching degree between the header tag of the current web page and the web page content, as well as the correlation with the user preference are analyzed in combination with the basic data and the web page content according to the web page browsing data to obtain the analysis result.

[0023] As an improvement of the above solution, the method further includes:

[0024] Monitor the web performance of the current web page in real time;

[0025] If the performance of the web page changes, the head tag of the current web page is dynamically adjusted based on the analysis result and according to the preset tag weight sorting rules and visibility control algorithm.

[0026] The embodiment of the present invention also provides a web page tag management device, including:

[0027] The acquisition module is used to obtain the user's web browsing data;

[0028] An analysis module, used to analyze the matching degree between the header tag of the current web page and the web page content, and the correlation degree between the header tag and the user preference according to the web page browsing data, and obtain an analysis result;

[0029] The adjustment module is used to dynamically adjust the elements of the header tag of the current web page based on the analysis result and according to the preset tag weight sorting rules and hidden and visible control algorithm.

[0030] An embodiment of the present invention further provides a terminal device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements any of the above-mentioned web page tag management methods when executing the computer program.

[0031] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any of the web page tag management methods described above.

[0032] An embodiment of the present invention further provides a computer program product, which includes a computer program or a computer instruction. When the computer program or the computer instruction is executed by a processor, the web page tag management method described in any one of the above is implemented.

[0033] Compared with the prior art, the beneficial effects of a web page tag management method, device, equipment, medium and computer program product provided by the embodiments of the present invention are: by obtaining the user's web browsing data; according to the web browsing data, analyzing the matching degree between the header tag of the current web page and the web page content, and the correlation between the header tag and the user's preference, to obtain the analysis result; based on the analysis result, according to the preset tag weight sorting rules and hidden and visible control algorithms, the header tag of the current web page is dynamically adjusted. The embodiment of the present invention sets the tag weight sorting rules and hidden and visible control algorithms, which can dynamically adjust the web page header tags according to different scenarios and user needs. And it monitors the changes of web pages in real time, and can flexibly adjust the content of the web page header tags at any time, while improving the performance of the website, bringing a better user browsing experience. At the same time, the embodiment of the present invention also uses artificial intelligence technology to deeply analyze and process user behavior data to meet the personalized needs of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a flow chart of a preferred embodiment of a web page tag management method provided by the present invention;

[0035] Figure 2 It is a schematic diagram of the system architecture in a web page tag management method provided by the present invention;

[0036] Figure 3 It is a time sequence diagram of collecting user data in a web page tag management method provided by the present invention;

[0037] Figure 4 It is a content analysis timing diagram in a web page tag management method provided by the present invention;

[0038] Figure 5 A head timing diagram is dynamically generated in a web page tag management method provided by the present invention;

[0039] Figure 6 It is a real-time monitoring timing diagram in a web page tag management method provided by the present invention;

[0040] Figure 7 It is a structural schematic diagram of a preferred embodiment of a web page tag management device provided by the present invention;

[0041] Figure 8 It is a structural schematic diagram of a preferred embodiment of a terminal device provided by the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] See also Figure 1 , Figure 1 The figure is a flow chart of a preferred embodiment of a web page tag management method provided by the present invention. The web page tag management method comprises:

[0044] S1, obtain the user's web browsing data;

[0045] S2, analyzing the matching degree between the header tag of the current web page and the web page content, and the correlation degree between the header tag and the user preference according to the web page browsing data, and obtaining an analysis result;

[0046] S3, based on the analysis result, dynamically adjust the header tag of the current web page according to the preset tag weight sorting rules and hidden and visible control algorithm.

[0047] It should be noted that with the continuous development and popularization of the Internet, thousands of people surf the Internet every day, which has become an indispensable part of people's lives. With the continuous innovation of Internet technology, various ways of surfing the Internet have emerged one after another, but the simplest and most commonly used way is still browsing the web. Open the browser of a computer or mobile device, enter the web address, and the user can visit various websites he wants to see. For users, what comes into view are various elements such as text, pictures, music, and videos. In fact, these various contents are just plain HTML tags in the eyes of web developers. Using the markup language HTML, combining various tags in it, you can create a web page with rich content. Among them, there is a tag that is often overlooked, the head tag, which is the head of the web page. Although it is not displayed as content itself, the most intuitively perceived by users is the title element, that is, the web page title displayed in the browser tab, but in fact, it has a lot of important content. The head tag contains various meta information and links, such as the title, keywords, description and other information of the web page, and reference links such as the style sheet and interactive script of the page. These elements have a vital impact on the recognition of the website, the performance of the web page and the user experience. Especially in today's big data era where data value is doubly valued, the header content of a web page is also crucial for search engine optimization. By mining the value of this data, we can serve users faster, more accurately, and better.

[0048] Based on this, in order to achieve more effective web page header tag management and optimization, the embodiment of the present invention provides a web page tag management method, which can be applied to a network tag management system. Figure 2 , Figure 2 This is a schematic diagram of the system architecture in a web page tag management method provided by the present invention. The system architecture mainly includes a user data collector, a content analysis engine, a header manager and a real-time monitoring module. The modules are interconnected through data flows and control flows, work together, and provide an API interface to the outside through the HTTP protocol. In an embodiment of the present invention, a user's web browsing data is obtained through a user data collector, and the obtained user's web browsing data is sent to a content analysis engine for content analysis. The content analysis engine analyzes the matching degree between the header tag of the current web page and the web page content, as well as the correlation with the user's preference, obtains the analysis result, and sends the analysis result to the header manager. The header manager dynamically adjusts the header tag of the current web page according to the preset tag weight sorting rules and the hidden and visible control algorithm.

[0049] The embodiment of the present invention sets a tag weight sorting rule and a hidden and visible control algorithm, and can dynamically adjust the web page header tags according to different scenarios and user needs.

[0050] In another preferred embodiment, the web browsing data includes web page access history data, device type data, location data, and user behavior data;

[0051] Among them, the web page access history data and the location data are obtained by calling the WEB API provided by the browser; the device type data is obtained by parsing the user agent string; the user behavior data is obtained by data embedding and counting user clicks and feedback forms.

[0052] For details, please refer to Figure 3 , Figure 3It is a time sequence diagram of collecting user data in a web page tag management method provided by the present invention. In an embodiment of the present invention, a user data collector automatically collects the user's web browsing data, and the web browsing data includes web page access history data, device type data, location data, and user behavior data. Among them, the web page access history data and location data are obtained by calling the WEB API provided by the browser to track the access history and location information of the client user. The device type data is obtained by parsing the user agent string, and the browser and operating system used by the user can also be determined. The user behavior data is obtained by data embedding and counting the user's clicks and feedback forms. In an embodiment of the present invention, the user data collector transmits the collected web page access history data, location data, and user behavior data to the content analysis engine for content analysis; the user data collector transmits the collected device type data to the header manager for header generation and adjustment.

[0053] In another preferred embodiment, the matching degree between the header tag of the current web page and the web page content, and the correlation degree between the header tag and the user demand are analyzed according to the web page browsing data to obtain the analysis result, including:

[0054] According to the web page access history data, the location data and the user behavior data, natural language processing and / or machine learning algorithms are used to extract keywords and analyze the matching degree between the header tag of the current web page and the web page content;

[0055] Based on the web page access history data, the location data, and the user behavior data, natural language processing and / or machine learning algorithms are used to identify user preferences and analyze the correlation between the header tag of the current web page and the user preferences;

[0056] The analysis result is obtained according to the matching degree and the correlation degree.

[0057] For details, please refer to Figure 4 , Figure 4It is a content analysis sequence in a web page tag management method provided by the present invention. In an embodiment of the present invention, the user data collector transmits the collected web page access history data, location data, and user behavior data to the content analysis engine for content analysis. The content analysis engine receives the user-related data transmitted by the user data collector; and uses natural language processing and / or machine learning and other technologies to analyze and process the above data. For example, user behavior can be classified and predicted by methods such as cluster analysis, decision trees or neural networks. For example, the TF-IDF algorithm is used to calculate keyword weights and determine the page theme. At the same time, by analyzing data such as user browsing history, the needs and preferences of the target audience can be further understood, providing a basis for the subsequent generation of web page header information; the content analysis engine notifies the header manager of the analysis results for header generation and adjustment.

[0058] In another preferred embodiment, based on the analysis result, according to the preset tag weight sorting rules and the hidden and visible control algorithm, the head tag of the current webpage is dynamically adjusted, including:

[0059] According to the matching degree between the head tag of the current web page and the web page content, a number of tags are determined, and a weight value is assigned to each tag; wherein the size of the weight value determines the display priority of the tag in the head element of the web page;

[0060] According to the weight values, the tags are sorted and several candidate tags are selected;

[0061] According to the device type data, determining whether the candidate tag should be displayed in the header of the webpage, and obtaining a hidden / displayed determination result;

[0062] According to the hidden and visible judgment result, the elements in the head tag of the current webpage are dynamically adjusted.

[0063] For details, please refer to Figure 5 , Figure 5It is a timing diagram of dynamically generating a header in a web page tag management method provided by the present invention. In an embodiment of the present invention, the user data collector transmits the collected device type data to the header manager for header generation and adjustment. The header manager receives the analysis results from the content analysis engine; receives the device type data transmitted by the user data collector; combines the content analysis results and the device type data, and uses the pre-established tag weight sorting rules and hidden and visible control algorithms to dynamically generate and modify the elements of the header tag of the web page. According to the matching degree between the header tag of the current web page and the web page content, several tags are determined, and a weight value is assigned to each tag. Among them, the size of the weight value determines the display priority of the tag in the header element of the web page. According to the size of the weight value, the tags are sorted, and several candidate tags with high rankings are selected. According to the device type data, it is determined which candidate tags should be displayed in the header of the web page and which candidate tags should be hidden in the header of the web page to obtain the hidden and visible judgment result. According to the hidden and visible judgment result, the elements in the header tag of the current web page are dynamically adjusted.

[0064] It should be noted that the tag weight sorting rules and hidden and visible control algorithms follow the following requirements: 1. Meta information such as titles, keywords and descriptions that meet the personalized needs of users to improve search engine visibility; 2. User device adaptability, adapt to the meta tags browsed by the user's device to ensure that the user obtains the best display; 3. Performance optimality, according to the user's device and network conditions, decide when to load or postpone the loading of style sheets and scripts to increase the page loading speed. After that, the generated personalized web page header tag can be inserted into the web page and sent to the user. This can be achieved by using dynamic scripts or server-side programming in the web page. In addition, if the header manager receives a notification from the real-time monitoring module requesting the header tag to be readjusted, it needs to readjust and generate a new header tag.

[0065] The webpage header tag generated by the header manager in the embodiment of the present invention includes elements such as title, keywords and description that meet the requirements of search engine optimization and personalized user experience. In addition, the header manager can be flexibly adjusted according to different users, different devices or situations to determine the best webpage header tag settings to ensure high performance of the website and better browsing experience.

[0066] As a preferred embodiment, the method further comprises:

[0067] Real-time monitoring of the basic data and content of the current web page;

[0068] If the basic data and / or the web page content changes, the matching degree between the header tag of the current web page and the web page content, as well as the correlation with the user preference are analyzed in combination with the basic data and the web page content according to the web page browsing data to obtain the analysis result.

[0069] For details, please refer to Figure 6 , Figure 6 It is a real-time monitoring timing diagram in a web page tag management method provided by the present invention. The embodiment of the present invention monitors the basic data of the web page in real time, such as the title, keywords, description, style sheet reference, script reference and other meta information, as well as the latest content of the web page and search engine ranking. If any of the above data changes, the content analysis engine is notified to re-analyze the content. The content analysis engine receives the basic data of the current web page and the latest content of the web page transmitted by the real-time monitoring module, combines the basic data and the web page content, and analyzes the matching degree between the header tag of the current web page and the web page content, as well as the correlation with the user preference according to the web page browsing data, to obtain the analysis result.

[0070] In the embodiment of the present invention, the content analysis engine combines the basic data of the current web page monitored in real time with the latest content of the web page, analyzes and compares whether the header tag of the current web page can reflect the content of the web page and whether it can meet the needs of the target audience, thereby providing a basis for the subsequent generation of web page header tags.

[0071] As a preferred embodiment, the method further comprises:

[0072] Monitor the web performance of the current web page in real time;

[0073] If the performance of the web page changes, the head tag of the current web page is dynamically adjusted based on the analysis result and according to the preset tag weight sorting rules and visibility control algorithm.

[0074] Specifically, the embodiment of the present invention monitors the web page performance of the current web page in real time; if the web page performance changes, a header readjustment notification is sent to the header manager, notifying the header manager to re-based on the analysis results, dynamically adjust the header tags of the current web page according to preset tag weight sorting rules and visibility control algorithms.

[0075] The embodiment of the present invention abandons the method of manually editing and setting the header tags of web pages in traditional web page development. Through the provided method of dynamic adjustment of header tags, the system automatically controls the content of header tags, reduces the error rate caused by manual intervention, improves efficiency and accuracy, and reduces manual maintenance costs. The embodiment of the present invention can automatically collect user-related data, conduct in-depth analysis of the data through artificial intelligence technology, and flexibly adjust the header tags of web pages according to different devices or situations of users in combination with the basic data of the current web page and the latest content of the web page, thereby improving the performance of the website and providing a better personalized user experience. The embodiment of the present invention can adjust the header tags of web pages at any time by real-time monitoring of the basic data of web pages, the latest content of web pages, search engine rankings, and the performance of web pages, etc., to ensure the timeliness and accuracy of web page information, and provide a more personalized user experience, thereby increasing the stickiness and loyalty of users to the website, and improving user satisfaction and word of mouth.

[0076] Correspondingly, the present invention also provides a web page tag management device, which can implement all the processes of the web page tag management method in the above embodiment.

[0077] See also Figure 7 , Figure 7 The figure is a schematic diagram of a preferred embodiment of a web page tag management device provided by the present invention. The web page tag management device comprises:

[0078] The acquisition module 701 is used to acquire the user's web browsing data;

[0079] The analysis module 702 is used to analyze the matching degree between the header tag of the current web page and the web page content, and the correlation degree between the header tag and the user preference according to the web page browsing data, and obtain the analysis result;

[0080] The adjustment module 703 is used to dynamically adjust the elements of the header tag of the current web page based on the analysis result and according to the preset tag weight sorting rules and the hidden and visible control algorithm.

[0081] Preferably, the web browsing data includes web page access history data, device type data, location data, and user behavior data;

[0082] Among them, the web page access history data and the location data are obtained by calling the WEB API provided by the browser; the device type data is obtained by parsing the user agent string; the user behavior data is obtained by data embedding and counting user clicks and feedback forms.

[0083] Preferably, the analysis module 702 includes:

[0084] A first analysis unit 712 is used to extract keywords using natural language processing and / or machine learning algorithms according to the web page access history data, the location data, and the user behavior data, and analyze the matching degree between the header tag of the current web page and the web page content;

[0085] A second analysis unit 722 is used to identify user preferences by using natural language processing and / or machine learning algorithms according to the web page access history data, the location data, and the user behavior data, and to analyze the correlation between the header tag of the current web page and the user preference;

[0086] The third analysis unit 732 is used to obtain the analysis result according to the matching degree and the correlation degree.

[0087] Preferably, the adjustment module 703 includes:

[0088] The weight allocation unit 713 is used to determine a number of tags according to the matching degree between the head tag of the current web page and the web page content, and allocate a weight value to each tag; wherein the size of the weight value determines the display priority of the tag in the web page head element;

[0089] A tag sorting unit 723 is used to sort the tags according to the weight values ​​and select several candidate tags;

[0090] A hidden / displayed judgment unit 733 is used to judge whether the candidate tag should be displayed in the header of the webpage according to the device type data, and obtain a hidden / displayed judgment result;

[0091] The tag adjustment unit 743 is used to dynamically adjust the elements in the head tag of the current web page according to the hidden and visible judgment result.

[0092] Preferably, the device is also used for:

[0093] Real-time monitoring of the basic data and content of the current web page;

[0094] If the basic data and / or the web page content changes, the matching degree between the header tag of the current web page and the web page content, as well as the correlation with the user preference are analyzed in combination with the basic data and the web page content according to the web page browsing data to obtain the analysis result.

[0095] Preferably, the device is also used for:

[0096] Monitor the web performance of the current web page in real time;

[0097] If the performance of the web page changes, the head tag of the current web page is dynamically adjusted based on the analysis result and according to the preset tag weight sorting rules and visibility control algorithm.

[0098] In the specific implementation, the working principle, control process and technical effect achieved by the web page tag management device provided in the embodiment of the present invention are the same as those of the web page tag management method in the above embodiment, and will not be repeated here.

[0099] See also Figure 8 , Figure 8 801 is a schematic diagram of a preferred embodiment of a terminal device provided by the present invention. The terminal device includes a processor 801, a memory 802, and a computer program stored in the memory 802 and configured to be executed by the processor 801. When the processor 801 executes the computer program, the web page tag management method described in any of the above embodiments is implemented.

[0100] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, ...), and the one or more modules / units are stored in the memory 802 and executed by the processor 801 to complete the present invention. The one or more modules / units can be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

[0101] The processor 801 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor, or the processor 801 can be any conventional processor. The processor 801 is the control center of the terminal device, and various parts of the terminal device are connected using various interfaces and lines.

[0102] The memory 802 mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function, etc., and the data storage area can store related data, etc. In addition, the memory 802 can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, and a flash card (Flash Card), etc., or the memory 802 can also be other volatile solid-state storage devices.

[0103] It should be noted that the above terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that Figure 8 The structural diagram is only an example of the above-mentioned terminal device and does not constitute a limitation of the above-mentioned terminal device. It may include more or less components than shown in the figure, or combine certain components, or different components.

[0104] An embodiment of the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the web page tag management method described in any of the above embodiments.

[0105] An embodiment of the present invention further provides a computer program product, which includes a computer program or a computer instruction. When the computer program or the computer instruction is executed by a processor, the web page tag management method described in any of the above embodiments is implemented.

[0106] The embodiments of the present invention provide a web page tag management method, apparatus, device, medium and computer program product, which obtains the web page browsing data of the user; analyzes the matching degree between the header tag of the current web page and the web page content, and the correlation with the user preference according to the web page browsing data, and obtains the analysis result; based on the analysis result, dynamically adjusts the header tag of the current web page according to the preset tag weight sorting rules and hidden and visible control algorithm. The embodiments of the present invention set the tag weight sorting rules and hidden and visible control algorithms, which can dynamically adjust the header tags of web pages according to different scenarios and user needs. And it monitors the changes of web pages in real time, and can flexibly adjust the content of the header tags of web pages at any time, which can improve the performance of the website and bring a better user browsing experience. At the same time, the embodiments of the present invention also use artificial intelligence technology to deeply analyze and process user behavior data to meet the personalized needs of users.

[0107] It should be noted that the system embodiment described above is merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the system embodiment provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0108] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A web page tag management method, characterized in that: include: Get the user's web browsing data; According to the web browsing data, analyzing the matching degree between the header tag of the current web page and the web page content, and the correlation degree between the header tag and the user preference, to obtain an analysis result; Based on the analysis result, the header tags of the current webpage are dynamically adjusted according to the preset tag weight sorting rules and the hidden and visible control algorithm.

2. The web page tag management method according to claim 1, characterized in that: The web browsing data includes web page access history data, device type data, location data, and user behavior data; Among them, the web page access history data and the location data are obtained by calling the WEB API provided by the browser; the device type data is obtained by parsing the user agent string; the user behavior data is obtained by data embedding and counting user clicks and feedback forms.

3. The web page tag management method according to claim 2, characterized in that: The analyzing the matching degree between the header tag of the current web page and the web page content, and the correlation degree between the header tag and the user demand according to the web page browsing data, and obtaining the analysis result includes: According to the web page access history data, the location data and the user behavior data, natural language processing and / or machine learning algorithms are used to extract keywords and analyze the matching degree between the header tag of the current web page and the web page content; Based on the web page access history data, the location data, and the user behavior data, natural language processing and / or machine learning algorithms are used to identify user preferences and analyze the correlation between the header tag of the current web page and the user preferences; The analysis result is obtained according to the matching degree and the correlation degree.

4. The web page tag management method according to claim 3, characterized in that: Based on the analysis result, according to the preset tag weight sorting rules and the hidden and visible control algorithm, the head tag of the current webpage is dynamically adjusted, including: According to the matching degree between the head tag of the current web page and the web page content, a number of tags are determined, and a weight value is assigned to each tag; wherein the size of the weight value determines the display priority of the tag in the head element of the web page; According to the weight values, the tags are sorted and several candidate tags are selected; According to the device type data, determining whether the candidate tag should be displayed in the header of the webpage, and obtaining a hidden / displayed determination result; According to the hidden and visible judgment result, the elements in the head tag of the current webpage are dynamically adjusted.

5. The web page tag management method according to claim 4, characterized in that: The method further comprises: Real-time monitoring of the basic data and content of the current web page; If the basic data and / or the web page content changes, the matching degree between the header tag of the current web page and the web page content, as well as the correlation with the user preference are analyzed in combination with the basic data and the web page content according to the web page browsing data to obtain the analysis result.

6. The web page tag management method according to claim 5, characterized in that: The method further comprises: Monitor the web performance of the current web page in real time; If the performance of the web page changes, the head tag of the current web page is dynamically adjusted based on the analysis result and according to the preset tag weight sorting rules and visibility control algorithm.

7. A web page tag management device, characterized in that: include: The acquisition module is used to obtain the user's web browsing data; An analysis module, used to analyze the matching degree between the header tag of the current web page and the web page content, and the correlation degree between the header tag and the user preference according to the web page browsing data, and obtain an analysis result; The adjustment module is used to dynamically adjust the elements of the header tag of the current web page based on the analysis result and according to the preset tag weight sorting rules and hidden and visible control algorithm.

8. A terminal device, characterized in that: It comprises a processor and a memory, wherein a computer program is stored in the memory, and the computer program is configured to be executed by the processor, and when the processor executes the computer program, the web page tag management method as described in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the web page tag management method according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product includes a computer program or a computer instruction, and when the computer program or the computer instruction is executed by a processor, the web page tag management method according to any one of claims 1 to 6 is implemented.

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