Intelligent multi-level label page operation method and device, electronic equipment and storage medium

Abstract

The invention provides an intelligent multi-level label page operation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring operation behavior data, use preference data and authority data of a user; constructing a user portrait of the user according to the operation behavior data, the use preference data and the authority data; according to the user portrait, generating a label page content recommendation list by using a content matching algorithm; dynamically generating an operation structure of a multi-level label page according to the label page content recommendation list, wherein the operation structure of the multi-level label page comprises a first-level label page and at least one lower-level label page; and in the operation structure of the multi-level tab page, in response to a selection operation of a user, displaying the content associated with the selected tab page according to the selection operation. According to the method and the device, complex multi-level operation requirements can be effectively met, the multi-level operation difficulty is reduced, and the user experience is improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to an intelligent multi-level tab operation method, device, electronic device and storage medium. Background Art

[0002] Currently, the operation tab system on the market is usually a fixed structure with a relatively simple hierarchical design, which cannot be dynamically adjusted according to the personalized needs of users. Although this design can meet general daily operations, for complex and multi-level application scenarios, the existing tab system lacks flexibility and cannot respond to the permission requirements and diverse operation needs of different users.

[0003] The existing multi-level operating system usually responds to complex hierarchical requirements by adding page jumps or downlinks, but this method requires users to frequently switch pages, which not only increases the operation steps and time cost, but also reduces the system's usability and user experience. Especially when displaying a large amount of content, the existing interface has a poor display effect and unclear logic, which makes it difficult to meet users' needs for fast and accurate information acquisition.

[0004] Therefore, the existing technology has the following problems when dealing with complex multi-level operation scenarios: the system hierarchy is fixed and lacks flexible adjustment capabilities, and cannot meet personalized operation needs; it relies too much on page jumps or level transfers, which increases the complexity of operations and affects user experience; the multi-level content display is chaotic and cannot provide clear navigation and smooth operation logic; frequent jumps and content loading increase the user operation burden and affect the overall efficiency of the system. Summary of the invention

[0005] In view of this, the embodiments of the present application provide an intelligent multi-level tab operation method, device, electronic device and storage medium to solve the problem that the prior art cannot meet the user experience of multi-level and complex requirements in complex application scenarios, and the operation is complicated, which reduces the user experience.

[0006] In a first aspect of an embodiment of the present application, a smart multi-level tab operation method is provided, including: obtaining a user's operation behavior data, usage preference data, and permission data; constructing a user portrait of the user based on the operation behavior data, usage preference data, and permission data; generating a tab content recommendation list based on the user portrait using a content matching algorithm, wherein the tab content recommendation list includes at least one first-level tab and multiple multi-level tabs associated with the first-level tab; dynamically generating a multi-level tab operation structure based on the tab content recommendation list, wherein the multi-level tab operation structure includes a first-level tab and at least one lower-level tab; in the multi-level tab operation structure, in response to a user's selection operation, displaying content associated with the selected tab based on the selection operation.

[0007] According to a second aspect of an embodiment of the present application, there is provided an intelligent multi-level tab operation device, comprising: an acquisition module, configured to acquire operation behavior data, usage preference data and permission data of a user; a construction module, configured to construct a user portrait of the user based on the operation behavior data, usage preference data and permission data; a list generation module, configured to generate a tab content recommendation list based on the user portrait using a content matching algorithm, wherein the tab content recommendation list includes at least one first-level tab and multiple multi-level tabs associated with the first-level tab; a structure generation module, configured to dynamically generate an operation structure of a multi-level tab based on the tab content recommendation list, wherein the operation structure of the multi-level tab includes a first-level tab and at least one lower-level tab; and a display module, configured to display content associated with a selected tab in response to a user's selection operation in the operation structure of the multi-level tab.

[0008] According to a third aspect of an embodiment of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the steps of the above method are implemented when the processor executes the computer program.

[0009] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, which stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0010] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects:

[0011] By obtaining the user's operation behavior data, usage preference data and permission data; constructing a user profile of the user based on the operation behavior data, usage preference data and permission data; generating a tab content recommendation list based on the user profile using a content matching algorithm, wherein the tab content recommendation list includes at least one first-level tab and multiple multi-level tabs associated with the first-level tab; dynamically generating a multi-level tab operation structure based on the tab content recommendation list, wherein the multi-level tab operation structure includes a first-level tab and at least one lower-level tab; in the multi-level tab operation structure, in response to the user's selection operation, displaying the content associated with the selected tab according to the selection operation. The present application can effectively cope with complex multi-level operation requirements, reduce the difficulty of multi-level operation, and improve user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0013] Figure 1 It is a flowchart of the intelligent multi-level tab operation method provided in the embodiment of the present application;

[0014] Figure 2 is a schematic diagram of the structure of an intelligent multi-level tab operation device provided in an embodiment of the present application;

[0015] Figure 3 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0016] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0017] It should be understood that the various steps described in the method implementation of the present application can be performed in different orders and / or performed in parallel. In addition, the method implementation may include additional steps and / or omit the steps shown. The scope of the present application is not limited in this respect.

[0018] Currently, many software and systems use the "Tab system" in user interface design. This is a common user interface design element that is usually used to display multiple tabs in the same interface to facilitate users to switch between different functions. However, most existing Tab systems are relatively simple, with few levels and fixed, and cannot be adjusted according to the personalized needs of different users. When users face different complex scenarios, the system cannot provide flexible responses, resulting in limited user experience.

[0019] The mainstream Tab systems on the market are usually single-level designs that meet simple daily operation scenarios. This system is suitable for common and simple application requirements, but it shows obvious limitations in multi-level operation scenarios. In order to cope with multi-level requirements, existing designs usually adopt two methods:

[0020] 1. Add jumps: When users need to go deeper into a certain function, they can be redirected to another page.

[0021] 2. Downward transfer design: Expand more options by downward transfer of levels, and display them progressively.

[0022] These methods are effective in simple scenarios, but when the application scenarios become complex, users need to frequently jump or switch between multiple pages. This not only increases the complexity of the operation, but also makes it easy for users to get lost between different pages, resulting in a reduced smoothness of the experience.

[0023] Therefore, the prior art has the following technical problems:

[0024] 1. Fixed hierarchy and lack of flexibility: The existing Tab system has a fixed design and cannot be customized according to the needs of different users, resulting in a user experience that cannot meet multi-level and complex needs in complex application scenarios.

[0025] 2. Complex operation and increased burden: In the face of complex application scenarios, existing solutions rely on frequent page jumps or level switching. This not only increases the user's operating costs, but also easily leads to a decline in user experience and increases the burden of operation.

[0026] 3. Poor display effect: In the existing design, due to the large amount of information displayed on the interface and too much content stacked together, the interface display effect is poor and it is difficult to present information clearly.

[0027] In summary, the existing Tab system cannot effectively cope with complex multi-level operation requirements, which requires users to implement complex functions through cumbersome operations. It is inconvenient to operate and has low usability, and needs to be improved urgently.

[0028] In view of the problems existing in the above-mentioned prior art, this application provides an intelligent multi-level tab operation method, which can accurately match and present content according to information such as user preferences, habits or user portraits, so as to improve user experience and product usability. This application obtains data such as user preferences, permissions, usage scenarios or needs; analyzes user preferences or needs to match corresponding content and data, automatically adjusts the hierarchical depth of the interface to present it to the user, accurately provides personalized operation experience, and improves user operation efficiency and decision-making efficiency.

[0029] The contents of the technical solution of the present application are described in detail below with reference to the accompanying drawings and specific embodiments.

[0030] Figure 1 1 is a flow chart of the intelligent multi-level tab operation method provided in the embodiment of the present application. Figure 1 As shown, the intelligent multi-level tab operation method may specifically include:

[0031] S101, obtaining the user's operation behavior data, usage preference data and permission data;

[0032] S102, constructing a user profile of the user based on the operation behavior data, usage preference data, and permission data;

[0033] S103, generating a tab content recommendation list using a content matching algorithm according to the user portrait, wherein the tab content recommendation list includes at least one first-level tab and multiple multi-level tabs associated with the first-level tab;

[0034] S104, dynamically generating a multi-level tab page operation structure according to the tab page content recommendation list, wherein the multi-level tab page operation structure includes a first-level tab page and at least one lower-level tab page;

[0035] S105 , in the multi-level tab operation structure, in response to a user's selection operation, displaying content associated with the selected tab according to the selection operation.

[0036] In some embodiments, obtaining the user's operation behavior data, usage preference data, and permission data includes:

[0037] Collect user operation behavior data, including the number of clicks on the tabs, browsing time, and page switching frequency;

[0038] Obtain user usage preference data, where the usage preference data includes the user's selection tendency for different tab contents, commonly used function modules, and preference information of user-defined settings;

[0039] Obtain the user's permission data, where the permission data includes the user's permission level in the system, the scope of accessible functions, and corresponding operation restrictions;

[0040] Generate the user's personalized demand information based on the operation behavior data, usage preference data and permission data, where the personalized demand information is used for tab content recommendation and operation structure adjustment.

[0041] Specifically, the intelligent multi-level tab operation method first automatically obtains the user's operation behavior data, usage preference data and permission data through the system to generate personalized tab recommendations and operation structure adjustments.

[0042] First, the system monitors the user's interaction with the tab in real time, including:

[0043] Tab click count: records the number of times users click on different tabs to determine how often users use each type of tab;

[0044] Browsing time: The system records the time users spend on each tab and analyzes the user's attention on different pages;

[0045] Page switching frequency: Record the speed and frequency of users switching between different tabs to analyze users' operating habits, such as quick browsing or in-depth operation.

[0046] Furthermore, during the operation, the system will also identify and store the user's preference information, including:

[0047] Selection tendency: The system analyzes the frequency of users' selection of content on different tabs to determine the user's areas of interest and focus;

[0048] Frequently used function modules: By monitoring user operation behaviors over a long period of time, we can identify the function modules that users frequently use and give them priority in subsequent tab page recommendations;

[0049] User-defined settings: The system allows users to customize the interface according to their personal habits, such as the layout and color of tabs, and uses these personalized settings as important parameters of user preferences.

[0050] Furthermore, the system dynamically adjusts the accessible functional modules according to the user's identity and operation permissions, including:

[0051] Permission level: Determine the user's permission level in the system, such as administrator, ordinary user or guest. Each type of user corresponds to different operation permissions;

[0052] Accessible function range: Based on the user's permissions, the system dynamically controls the accessible tab contents to ensure that the user can only access functions that match their permissions;

[0053] Operation restrictions: The system sets corresponding operation restrictions for users with different permissions to prevent unauthorized users from accessing advanced function modules.

[0054] Furthermore, the system will conduct a comprehensive analysis of the collected operation behavior data, usage preference data, and permission data to generate the user's personalized demand information. This information is used for subsequent tab content recommendations and optimization and adjustment of the operation structure. For example, by analyzing the user's operation habits and preferences, the system can dynamically generate a tab recommendation list that meets the user's needs; the system will adjust the multi-level tab operation structure in real time according to the user's permission level and current usage needs, so that the interface content matches the user's personalized needs and improves the user experience.

[0055] According to the method of the present embodiment described above, the present embodiment ensures the accuracy of the tab content recommendation by accurately collecting and analyzing the user behavior and preference data, and dynamically adjusts the operation structure to improve the flexibility of the system and the convenience of user operation.

[0056] In some embodiments, a user profile of a user is constructed based on the operation behavior data, usage preference data, and permission data, including:

[0057] Based on the operation behavior data, analyze the user's interaction frequency, stay time, operation path and page switching mode on different tabs in the system to extract the user's commonly used function modules and operation habits;

[0058] Based on the usage preference data, identify the user's preference information in interface layout, content presentation, display mode and interactive elements, and generate preference tags related to the user's personalized needs;

[0059] Based on the permission data, determine the user's permission level in the system, the scope of accessible functions and operation restrictions, and generate permission characteristics related to user permissions;

[0060] Based on operational behavior data, usage preference data, and permission data, a comprehensive analysis of the user's usage patterns, operating habits, and permission scope is conducted to build a user profile.

[0061] Specifically, the system builds a user profile by comprehensively analyzing the user's operation behavior data, usage preference data, and permission data. The user profile is used to guide personalized tab content recommendations and dynamic adjustments to the system's operating structure.

[0062] Furthermore, the system first collects the user's interaction data with different tabs in the system, which may include the following:

[0063] Interaction frequency: The system records the frequency of users' use of each tab and analyzes the main functional modules used by users in the system. For example, the system can identify specific functions that users frequently access, such as data analysis tools or project management interfaces;

[0064] Dwell time: The system tracks the time users spend on each tab and determines the user's attention to certain functions or content by analyzing the length of the dwell time.

[0065] Operation path and page switching mode: The system analyzes the user's operation path, records the user's operation sequence and switching mode within the system, and identifies the user's operation habits. For example, some users may often switch quickly between data display and editing tools, while other users may have different operation modes.

[0066] Through the collection and analysis of the above data, the system can extract the functional modules and operating habits commonly used by users and generate a preliminary user portrait.

[0067] Furthermore, the system further constructs preference tags related to the user's personalized needs based on the user's usage preference data, which may specifically include the following:

[0068] Interface layout preferences: The system records the user's personalized settings for the interface layout, such as the selected layout mode (for example, grid layout or linear layout);

[0069] Content presentation preferences: The system analyzes user preferences for content display, such as whether users prefer a simple list view or rich text display;

[0070] Interactive element preferences: The system identifies user preferences for different interactive elements, such as color themes, font sizes, button styles, etc.

[0071] These preference information are converted into personalized preference tags by the system and serve as one of the key parameters for building user portraits.

[0072] Furthermore, the system also determines the user's authority level in the system and the accessible functional modules based on the user's authority data, which may specifically include the following:

[0073] Permission level: The system determines the permission level of the user based on the user's role (such as administrator, ordinary user or visitor). Different permission levels determine the system functions that the user can operate;

[0074] Accessible function scope: The system identifies the user's permissions and determines the functional modules that the user can access, ensuring that the user can only see and operate the content that matches his or her permission level;

[0075] Operation restrictions: Based on the user's permissions, the system sets corresponding operation restrictions for the user, such as whether the user can modify system settings or access advanced functions.

[0076] These permission data are analyzed to generate permission features related to user permissions, further improving the user portrait.

[0077] Furthermore, the system conducts a comprehensive analysis of the above-mentioned operation behavior data, usage preference data and permission data to generate a complete user portrait. The user portrait not only includes the user's interests, common functions and operation habits, but also includes personalized interface setting preferences and corresponding permission information. In this way, the system can better understand the specific needs of each user, thereby providing users with more accurate personalized content recommendations and operation support in subsequent operations.

[0078] According to the method of this embodiment described above, this embodiment demonstrates the process of building a user portrait through multi-dimensional data analysis. The establishment of the user portrait provides a basis for the intelligent tab operating system, which can effectively improve the user's operating experience and the overall responsiveness of the system.

[0079] In some embodiments, a content matching algorithm is used to generate a tab page content recommendation list based on the user portrait, including:

[0080] Dynamically determine the user's current usage scenarios and needs based on the user's operating habits, preferences, and permission levels in the user portrait;

[0081] Use content matching algorithms to analyze users' current usage needs and generate a list of recommended tab content that matches the user's profile.

[0082] Based on the recommended list of tab contents, the hierarchical structure of tabs is automatically adjusted to adapt the hierarchical structure to the user's current operation scenario and permission level.

[0083] Specifically, based on user portraits, the system uses a content matching algorithm to dynamically generate a personalized tab content recommendation list, and adjusts the tab hierarchy accordingly to ensure that the operating experience matches the user's current needs.

[0084] First, during the operation of the system, the system first dynamically determines the user's current operation scenario based on the operation habits, preference settings, and permission levels in the user portrait. Specifically, it may include the following:

[0085] Identification of operation habits: The system predicts the user's possible operation steps in the current scenario by analyzing the historical operation behaviors in the user portrait. For example, the system recognizes that when analyzing data, users often switch between different analysis tool modules frequently, so it is inferred that the user may need to access related analysis tools at the same time.

[0086] Application of preference settings: The system automatically adjusts the display layout of the page based on the personalized preferences such as interface layout and content presentation recorded in the user portrait to ensure that it conforms to the user's visual and interaction habits.

[0087] Determination of permission level: The system determines the range of functions that the user can access in the current scenario based on the user's permission data, and avoids displaying functional modules that exceed their permission level.

[0088] Furthermore, after determining the user's current operational needs, the system uses a content matching algorithm to analyze these needs and generate a corresponding tab content recommendation list. Specifically, it may include the following:

[0089] Demand analysis: The system conducts a comprehensive analysis of the user's operating habits and current operating behaviors to determine the functional modules and content required by the user in the current scenario. For example, when the user enters the data management module, the system will automatically generate function tabs related to data processing and export, and recommend these functions to the user first.

[0090] Tab content recommendation: Based on the above analysis, the system generates a tab content recommendation list that matches the user profile. The list includes the first-level tabs, second-level tabs, and deeper content modules that the user may need to access, ensuring that the user can quickly find the required function during operation.

[0091] Furthermore, based on the generated content recommendation list, the system automatically adjusts the hierarchical structure of the tabs to ensure that the structure adapts to the user's operational requirements and permission level. The specific operation includes the following steps:

[0092] Hierarchical structure adjustment: The system dynamically adjusts the display order and hierarchical depth of the tabs based on the content of the recommendation list. For example, for advanced users, the system may display more complex multi-level tabs, while for ordinary users, the system only displays a simplified operation structure within their authority.

[0093] Navigation logic optimization: The system automatically optimizes the navigation logic between tabs to ensure that users can switch smoothly between levels. Users can quickly access the associated second or third level tabs by clicking on a first level tab, and the system dynamically loads the corresponding content based on the user's selection.

[0094] According to the method of the present embodiment described above, the present embodiment generates a personalized tab recommendation list by integrating the operation habits, preference settings and permission information of the user portrait using a content matching algorithm, and dynamically adjusts the operation structure of the multi-level tabs accordingly. In this way, the system can provide users with functional modules that meet their needs in different operation scenarios, improve operation efficiency and optimize user experience.

[0095] In some embodiments, dynamically generating a multi-level tab page operation structure according to the tab page content recommendation list includes:

[0096] Determine the hierarchical structure of each tab page based on the tab page content recommendation list, and assign corresponding operation functions and display content to each level of tab pages;

[0097] Dynamically adjust the display order and content layout of multi-level tabs based on the usage habits and current operation requirements in the user portrait, so that the content of each level matches the user's current needs and permissions;

[0098] Design progressive navigation logic for each level of tabs to facilitate users to switch between tabs at different levels;

[0099] Analyze users' interactive behaviors and optimize the operational structure of multi-level tabs so that functional modules at different levels can be dynamically adjusted according to users' operational paths and preferences.

[0100] Specifically, the system dynamically generates a multi-level tab operation structure based on the tab content recommendation list, and adjusts the hierarchical display order and layout of the tabs accordingly to ensure that the user's operation needs and permissions are met.

[0101] The system first determines the hierarchical structure of each tab page based on the generated tab page content recommendation list. Specifically, it may include the following:

[0102] Allocation of first-level tabs: Based on the user profile and recommendation list, the system displays the commonly used first-level tab content for users as the starting point for user operations. For example, for users who frequently use the data analysis function, the system will prioritize data analysis as a first-level tab.

[0103] Multi-level tab allocation: The system associates multiple second-level, third-level and deeper-level tab contents with the first-level tab to ensure that the functional modules at different levels are progressive. For example, after clicking the first-level data analysis tab, the system will display the various analysis tools associated with it as second-level tabs. After clicking a specific tool, the specific settings and operation steps related to the tool will be displayed as third-level tabs.

[0104] Furthermore, the system dynamically adjusts the display order and content layout of the tabs based on the usage habits and current operation requirements in the user portrait. Specifically, it may include the following:

[0105] Display order adjustment: The system dynamically adjusts the order of tabs at each level based on the user's current operation scenario. For example, when a user frequently uses a certain function, the system will display the tabs related to that function in advance and move the tabs of less frequently used functions to the back.

[0106] Content layout adjustment: The system adjusts the display layout of tabs based on user preferences and screen space. For example, for users who prefer a compact layout, the system will arrange multiple tabs on one page, allowing users to quickly switch by sliding; while for users who prefer a simple layout, the system may use a layered display, which can be expanded layer by layer after the user clicks.

[0107] Furthermore, in order to improve the user experience, the system has designed a progressive navigation logic for each level of tabs to ensure that users can easily switch between tabs at different levels. Specifically, it may include the following:

[0108] Navigation between levels: When a user selects a function in the first-level tab, the system will automatically expand the corresponding second-level tab. The user can continue to select the third-level and deeper content by clicking, sliding, etc.

[0109] Convenience of level jumping: The system provides the function of quickly returning to the previous level or directly jumping to a specific level, avoiding users from frequent operations between multiple levels and improving the convenience of navigation.

[0110] Furthermore, the system analyzes the user's interactive behavior during the operation in real time to optimize the operation structure of the multi-level tabs. Specifically, it may include the following:

[0111] Operation path optimization: The system records the user's operation path and analyzes the frequency of users switching between different functional modules. In this way, the system can optimize the order of the hierarchical structure so that the functions commonly used by users can be presented more quickly.

[0112] Dynamically adjust function modules: The system dynamically adjusts the content of different levels of tabs based on the user's operating habits and usage frequency. For example, if a function module is frequently used, the system will display it first; if it is used less frequently, the system will move it down or fold it.

[0113] According to the method of the present embodiment described above, the present application embodiment realizes the dynamic generation and adjustment of the multi-level tab operation structure based on the tab content recommendation list. The system ensures that the logic of each level of tabs is clear and the operation is convenient, and can be optimized in real time according to the user's interactive behavior and personalized needs, thereby improving the user's overall operation experience.

[0114] In some embodiments, in the multi-level tab operation structure, in response to a user's selection operation, displaying content associated with the selected tab according to the selection operation includes:

[0115] In response to a user's selection operation in the multi-level tab operation structure, determining a tab selected by the user;

[0116] Call the content matching algorithm to dynamically load the content module associated with the selected tab and display it in real time in the interface;

[0117] Expand the sub-tabs associated with the selected tab and display the lower-level tabs through a drop-down menu or swipe operation.

[0118] Specifically, the system responds to the user's selection operation in the multi-level tab operation structure and dynamically displays the content module associated with the selected tab. This process calls the content matching algorithm and expands the corresponding lower-level tab according to the operation selected by the user.

[0119] First, when a user selects a tab in the multi-level tab operation structure, the system first receives the user's selection operation and determines the tab selected by the user. For example, when a user clicks the "Project Management" function in the first-level tab, the system recognizes the operation and determines that the user has selected a tab related to project management.

[0120] Furthermore, after determining the tab page selected by the user, the system calls the content matching algorithm to dynamically load the content module associated with the selected tab page. Specifically, it may include the following contents:

[0121] The system analyzes the functional modules that the user currently needs based on the user's current operation scenario, user profile, and the recommended list of tab content. For example, after the user selects the "Project Management" tab, the system loads specific content modules related to project management, such as task lists, schedules, and progress tracking, based on the content matching algorithm.

[0122] After the dynamic content is loaded, the system will display the functions and data related to the selected tab in real time in the interface to ensure that users can quickly access the required content.

[0123] Furthermore, after the user selects a certain level of tab page, the system will automatically expand the lower level tab pages associated with the tab page, so that the user can further select a more specific function module. The specific operations may include the following:

[0124] The system displays secondary or lower-level tabs associated with the selected tab through a drop-down menu or sliding operation. For example, after the user selects the "Project Management" tab, the system will expand the sub-functions related to project management, such as "Task Assignment", "Resource Management", "Project Report", etc. as secondary tabs. The user can select a secondary tab through the drop-down menu, or view more content of the lower-level tabs by sliding.

[0125] The system supports progressive display of multi-level tabs, ensuring that users can gradually select the required functional modules and easily switch between levels.

[0126] Furthermore, during the user operation, the system continuously collects user feedback on the recommended content. Specifically, it may include the following:

[0127] The system monitors the user's interaction with dynamically loaded content modules and analyzes whether the user frequently accesses or uses the recommended tab content;

[0128] Based on user feedback, the system continuously optimizes the content matching algorithm to improve the matching accuracy of subsequent tab page recommendations and content display. For example, if users frequently select certain functional modules, the system will optimize the algorithm and give priority to recommending related content; for modules that users rarely use, the system will reduce their priority in subsequent recommendations.

[0129] According to the method of this embodiment described above, this embodiment realizes that in a multi-level tab operation structure, the system dynamically responds to user selection operations, displays content modules associated with the selected tab, and expands the lower-level tabs through a drop-down menu or sliding operation. At the same time, the system continuously optimizes the content matching algorithm through user feedback to improve the accuracy of tab content recommendations and user experience.

[0130] In some embodiments, the method further comprises:

[0131] Dynamically adjust the content structure of the selected tab page to enable the user to switch between tab pages at different levels and view the detailed content of each level of tab page;

[0132] During the operation of multi-level tabs, the currently displayed content is automatically adjusted according to the user's subsequent selection operations to display the content and functions associated with the lower-level tabs;

[0133] Among them, a button for returning to the previous level tab page is provided in any level of the tab page, so that the user can click the button to return to the previous level tab page.

[0134] Specifically, during the operation of multi-level tabs, the system can dynamically adjust the content structure of the selected tab, support users to switch between different levels and view detailed content, and provide the function of returning to the previous level.

[0135] Furthermore, after the user selects a tab, the system automatically analyzes the current hierarchical structure and user needs, and dynamically adjusts the content of the selected tab. For example, the following content may be included:

[0136] The system dynamically adjusts the order and layout of content display based on the user's operation in the current level tab to ensure that the user can quickly and clearly view the detailed content related to the current tab. For example, after the user selects the "Project Management" tab, the system will automatically adjust the layout of the sub-content modules in the tab, such as the task list, project timeline, etc., so that the user can view and operate intuitively.

[0137] The system dynamically optimizes the content structure of the tabs based on the usage habits and current operation requirements in the user portrait, ensuring that the displayed content at each level matches the user's current operation scenario.

[0138] Furthermore, during the multi-level tab operation, the system allows the user to switch between different levels and view the detailed content of each level. Specifically, it may include the following:

[0139] The system provides progressive navigation for each level of tabs. When a user selects a function in the first-level tab, the system will automatically expand the second-level tab to display more detailed content related to the function. Users can click on the sub-functions in the second-level tab to continue to the third-level tab to view more specific operation options and content modules.

[0140] When a user browses to a specific level, the system automatically loads the detailed content of that level, such as task details, project reports, resource allocation, etc., to ensure that users can gradually drill down between different levels and view the specific content of each tab.

[0141] Furthermore, the system automatically adjusts the currently displayed content according to the user's subsequent selection operations, and dynamically loads the functional modules associated with the lower-level tabs. Specifically, it may include the following:

[0142] After the user selects a secondary or tertiary tab, the system automatically updates the displayed content to ensure that the user can continue to operate and view the detailed functions related to the tab. For example, when the user switches from the "Task Assignment" tab to the "Project Progress" tab, the system immediately loads content related to project progress tracking, such as progress bars, key milestones, remaining tasks, etc.

[0143] The system supports real-time content update and display. Every operation of the user will trigger the update of the corresponding tab to maintain the continuity of operation and the coherence of content.

[0144] Furthermore, in any level of tabs, the system provides a button to return to the previous level, and the user can click the button to return to the previous level of tabs. Specifically, it may include the following:

[0145] Each level of the tab interface has a back button. When the user clicks it, the system will switch the displayed content back to the previous level of the tab. For example, after viewing the "task details" in the third-level tab, the user can click the back button to switch back to the second-level tab to view other operation options related to the task.

[0146] By providing a quick return function, users can quickly switch between tabs at different levels without having to frequently perform complex navigation operations, reducing operation steps and improving the usability of the system.

[0147] According to the method of the present embodiment described above, the present embodiment supports users to flexibly switch between multi-level tabs and display detailed content in real time by dynamically adjusting the content structure of the tabs. At the same time, the system provides a function of returning to the previous level to ensure that users can efficiently navigate in the multi-level structure, thereby improving the overall operating experience and ease of use of the system.

[0148] The following is an example of a specific scenario to illustrate the method of operating the multi-level title of the present application, which may specifically include the following contents:

[0149] In a specific scenario of the present application, the system provides a method for intelligent multi-level tab operation, where users can switch between tabs of different levels and dynamically display related content through interactive operations such as sliding and clicking. The operation process of the multi-level tab in this embodiment is as follows:

[0150] Step 1. Switch to the first-level tab:

[0151] After entering the system, the first thing a user sees is the first-level tab page. By sliding, the user can browse and switch between multiple first-level categories. The specific implementation includes:

[0152] The system supports unlimited expansion of the content and number of first-level tabs. Users can load more first-level tab content by simply sliding the interface left or right. For example, in an e-commerce platform, the first-level tab may include categories such as "clothing", "electronic products", and "home". Users can quickly browse and select one of the categories by sliding.

[0153] After selecting a first-level tab, the system will display the relevant content under that first-level category. For example, after selecting "Electronics", the page will load popular products or recommended devices under that category.

[0154] Step 2: Switch to the secondary tab:

[0155] When the user selects a first-level tab, the system will load the second-level tab contents related to the first-level tab synchronously. The specific implementation includes:

[0156] Secondary tabs support unlimited expansion, and users can quickly browse and switch between multiple secondary tab contents by swiping left and right. For example, under the "Electronic Products" category, secondary tabs may include "Smartphones", "Laptops", "Tablets", etc. Users can swipe to select any secondary tab.

[0157] To improve the user experience, the system not only supports left and right sliding, but also supports quickly expanding more secondary tab contents. Users can immediately view the complete secondary tab list and quickly select the target tab through the drop-down menu or click operation.

[0158] Step 3: Switch to the third-level tab page:

[0159] When the user enters a secondary tab, the system will display the tertiary tab. The specific implementation includes:

[0160] Users can swipe left and right on the three-level tabs to browse through various sub-functions or content modules. For example, under the "Smartphone" tab, the three-level tabs may include "Latest Models", "Discounts and Promotions", "User Reviews", etc. Users can quickly select the module they want to view by swiping.

[0161] When a user clicks on a third-level tab, the system immediately displays content related to the title. For example, when the user clicks on "Latest Models", the system loads the latest smartphone models currently on the market and their detailed information.

[0162] Step 4. Expand the lower-level tab:

[0163] When the user enters the third-level tab page, the system supports expanding the fourth-level, fifth-level and deeper-level tab page contents through a drop-down menu or pop-up window. The specific implementation includes:

[0164] The system supports sliding up and down, allowing users to expand and view more levels of tab content. For example, under the third-level tab page of "Latest Models", users can slide down to expand the fourth-level tab page to view detailed information related to a specific model of mobile phone, such as "Product Specifications", "Function Introduction", "User Reviews", etc.

[0165] The unlimited expansion function of multi-level tabs ensures that users can view deeper content as needed. The system provides a clear hierarchical structure and convenient navigation to avoid operational complexity caused by too many levels.

[0166] Step 5. Quickly return to the previous tab page:

[0167] To improve the convenience of user operation, the system provides a function to return to the previous level in any level tab. The specific implementation includes:

[0168] Regardless of which level the user is at, the system provides a shortcut button to return to the previous level. The user only needs to click the button to quickly return to the previous level. For example, when the user is viewing the detailed information of a product in the fifth-level tab page, he can click the back button at any time to switch back to the fourth-level tab page, or return to the second-level or first-level tab page by clicking the back button multiple times.

[0169] The system's hierarchical navigation design ensures efficient and smooth operation. Users can easily switch between multiple levels and avoid the trouble of frequent repetitive operations.

[0170] Through the above steps of this embodiment, the embodiment of the present application realizes the intelligent operation of multi-level tabs. Users can freely switch between tabs at different levels through simple sliding and clicking operations. At the same time, the system supports dynamic loading and display of content related to user selections, thereby improving the overall operating experience.

[0171] According to the technical solution provided in the embodiments of the present application, the technical solution of the present application has at least the following advantages:

[0172] This application dynamically adjusts the tab content according to the personalized needs of users to improve the user experience. Through multi-level structural design, the efficiency of information organization is improved and the usability of the product is enhanced. Self-learning and optimization are carried out using user feedback to continuously improve the level of personalized services.

[0173] This application dynamically adjusts the complexity, effects, and content of the interface according to user roles and needs, providing simplified views and simpler operations for certain users or certain scenarios.

[0174] This application improves the efficiency of user operations while reducing operating costs, better solves the pain points of applications with complex operation levels and scenarios on the same page; better solves complex and multi-level operations for users, reduces operations, and improves decision-making efficiency; at the same time, it can accurately match the content and scenarios displayed by users to big data based on user preferences, permissions, and needs; better help users reduce page switching and searching, and accurately view relevant content and data.

[0175] The method and device of the technical solution of the present application can be extended to operation scenarios such as mini-programs, apps, PCs, and large data screens, and are easy to operate and more convenient.

[0176] This application uses advanced data analysis technology to deeply explore user operation habits and preferences. According to user behavior and portraits, the tab content is adjusted in real time to achieve personalized recommendations.

[0177] The innovative Tab design of this application provides a clear navigation path and optimizes the user operation process. The system can self-learn and evolve based on user feedback, continuously improving the accuracy and response speed of personalized services.

[0178] The following is an embodiment of the device of the present application, which can be used to execute the embodiment of the method of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method of the present application.

[0179] Figure 2 Schematic diagram of the structure of the intelligent multi-level tab operation device provided in the embodiment of the present application. Figure 2 As shown, the intelligent multi-level tab operation device includes:

[0180] The acquisition module 201 is configured to acquire the user's operation behavior data, usage preference data and permission data;

[0181] A construction module 202 is configured to construct a user profile of the user based on the operation behavior data, the usage preference data and the permission data;

[0182] The list generation module 203 is configured to generate a tab content recommendation list based on the user portrait using a content matching algorithm, wherein the tab content recommendation list includes at least one first-level tab and multiple multi-level tabs associated with the first-level tab;

[0183] The structure generation module 204 is configured to dynamically generate a multi-level tab operation structure according to the tab content recommendation list, wherein the multi-level tab operation structure includes a first-level tab and at least one lower-level tab;

[0184] The display module 205 is configured to display the content associated with the selected tab page in response to the user's selection operation in the multi-level tab page operation structure according to the selection operation.

[0185] In some embodiments, Figure 2 The acquisition module 201 collects the user's operation behavior data, wherein the operation behavior data includes the number of times the user clicks on the tab page, the browsing time and the page switching frequency; obtains the user's usage preference data, wherein the usage preference data includes the user's selection tendency for different tab page contents, commonly used function modules and preference information of user-defined settings; obtains the user's permission data, wherein the permission data includes the user's permission level in the system, the accessible function range and the corresponding operation restrictions; generates the user's personalized demand information based on the operation behavior data, usage preference data and permission data, wherein the personalized demand information is used for tab page content recommendation and operation structure adjustment.

[0186] In some embodiments, Figure 2 The construction module 202 analyzes the user's interaction frequency, dwell time, operation path and page switching mode on different tabs in the system based on the operation behavior data to extract the user's commonly used functional modules and operation habits; identifies the user's preference information on interface layout, content presentation, display method and interactive elements based on the usage preference data, and generates preference tags related to the user's personalized needs; determines the user's authority level, accessible function range and operation restrictions in the system based on the permission data, and generates permission features related to the user's authority; conducts a comprehensive analysis of the user's usage pattern, operation habits and authority range based on the operation behavior data, usage preference data and permission data to construct a user portrait.

[0187] In some embodiments, Figure 2The list generation module 203 dynamically determines the user's current usage scenario and usage needs according to the operating habits, preference settings and permission levels in the user portrait; uses a content matching algorithm to analyze the user's current usage needs and generates a tab content recommendation list that matches the user portrait; based on the tab content recommendation list, automatically adjusts the hierarchical structure of the tabs to adapt the hierarchical structure to the user's current operating scenario and permission level.

[0188] In some embodiments, Figure 2 The structure generation module 204 determines the hierarchical structure of each tab page according to the tab page content recommendation list, and assigns corresponding operation functions and display content to the tab pages of each level; dynamically adjusts the display order and content layout of the multi-level tab pages according to the usage habits and current operation requirements in the user portrait, so that the content of each level matches the user's current needs and permissions; designs progressive navigation logic for each level of tab pages, so that the user can switch between tab pages of different levels; analyzes the user's interactive behavior, and optimizes the operation structure of the multi-level tab pages, so that the functional modules of different levels are dynamically adjusted according to the user's operation path and preferences.

[0189] In some embodiments, Figure 2 The display module 205 responds to the user's selection operation in the multi-level tab operation structure to determine the tab selected by the user; calls the content matching algorithm to dynamically load the content module associated with the selected tab and display it in real time in the interface; expands the subordinate tabs associated with the selected tab, and displays the lower-level tabs through a drop-down menu or a sliding operation.

[0190] In some embodiments, Figure 2 The adjustment module 206 dynamically adjusts the content structure of the selected tab page to enable the user to switch between tab pages of different levels and view the detailed content of each level tab page; during the operation of multi-level tab pages, the currently displayed content is automatically adjusted according to the user's subsequent selection operations to display the content and functions associated with the lower-level tab pages; wherein, a button for returning to the previous level tab page is provided in any level tab page, so that the user can click the button to return to the previous level tab page.

[0191] Figure 3 Schematic diagram of the structure of the electronic device 3 provided in the embodiment of the present application. Figure 3As shown, the electronic device 3 of this embodiment includes: a processor 301, a memory 302, and a computer program 303 stored in the memory 302 and executable on the processor 301. When the processor 301 executes the computer program 303, the steps in the above-mentioned method embodiments are implemented. Alternatively, when the processor 301 executes the computer program 303, the functions of the modules / units in the above-mentioned device embodiments are implemented.

[0192] Exemplarily, the computer program 303 may be divided into one or more modules / units, which are stored in the memory 302 and executed by the processor 301 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 303 in the electronic device 3.

[0193] The electronic device 3 may be a desktop computer, a notebook, a PDA, a cloud server, or other electronic device. The electronic device 3 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art will appreciate that Figure 3 It is only an example of the electronic device 3 and does not constitute a limitation of the electronic device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0194] The processor 301 may 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 may be a microprocessor or the processor may be any conventional processor, etc.

[0195] The memory 302 may be an internal storage unit of the electronic device 3, for example, a hard disk or memory of the electronic device 3. The memory 302 may also be an external storage device of the electronic device 3, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 3. Further, the memory 302 may also include both an internal storage unit and an external storage device of the electronic device 3. The memory 302 is used to store computer programs and other programs and data required by the electronic device. The memory 302 may also be used to temporarily store data that has been output or is to be output.

[0196] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0197] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0198] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments applied for herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0199] In the embodiments provided in the present application, it should be understood that the disclosed devices / computer equipment and methods can be implemented in other ways. For example, the device / computer equipment embodiments described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. Multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0200] 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 distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0201] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0202] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. The computer program may include computer program code, which may be in source code form, object code form, executable file or some intermediate form. Computer-readable media may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0203] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An intelligent multi-level tab operation method, characterized in that: include: Obtain user operation behavior data, usage preference data, and permission data; Constructing a user profile of the user based on the operation behavior data, usage preference data and permission data; Generate a tab page content recommendation list using a content matching algorithm according to the user portrait, wherein the tab page content recommendation list includes at least one first-level tab page and a plurality of multi-level tab pages associated with the first-level tab page; Dynamically generating a multi-level tab page operation structure according to the tab page content recommendation list, wherein the multi-level tab page operation structure includes a first-level tab page and at least one lower-level tab page; In the multi-level tab operation structure, in response to a user's selection operation, content associated with the selected tab is displayed according to the selection operation.

2. The method according to claim 1, characterized in that The acquisition of the user's operation behavior data, usage preference data and permission data includes: Collecting user operation behavior data, wherein the operation behavior data includes the number of clicks on the tab page, browsing time, and page switching frequency of the user; Obtaining user usage preference data, wherein the usage preference data includes the user's selection tendency for different tab contents, commonly used function modules, and preference information of user-defined settings; Obtaining the user's permission data, wherein the permission data includes the user's permission level in the system, the scope of accessible functions, and corresponding operation restrictions; The personalized demand information of the user is generated according to the operation behavior data, usage preference data and permission data, wherein the personalized demand information is used for tab content recommendation and operation structure adjustment.

3. The method according to claim 1, characterized in that The constructing a user profile of the user according to the operation behavior data, usage preference data and permission data includes: Based on the operation behavior data, analyze the user's interaction frequency, stay time, operation path and page switching mode on different tabs in the system to extract the user's commonly used function modules and operation habits; According to the usage preference data, identify the user's preference information in interface layout, content presentation, display mode and interactive elements, and generate preference tags related to the user's personalized needs; Determine the user's authority level in the system, the scope of accessible functions and operation restrictions based on the authority data, and generate authority characteristics related to the user's authority; Based on the operation behavior data, usage preference data and permission data, a comprehensive analysis is performed on the user's usage pattern, operation habits and permission scope to construct the user portrait.

4. The method according to claim 1, characterized in that: Generating a tab page content recommendation list using a content matching algorithm according to the user portrait includes: Dynamically determine the user's current usage scenario and usage needs based on the operating habits, preference settings and permission levels in the user portrait; Analyze the user's current usage needs using a content matching algorithm and generate a tab page content recommendation list that matches the user profile; According to the tab page content recommendation list, the hierarchical structure of the tab pages is automatically adjusted to adapt the hierarchical structure to the user's current operation scenario and authority level.

5. The method according to claim 1, characterized in that The operation structure of dynamically generating a multi-level tab page according to the tab page content recommendation list includes: Determine the hierarchical structure of each tab page according to the tab page content recommendation list, and assign corresponding operation functions and display contents to the tab pages of each level; According to the usage habits and current operation requirements in the user portrait, dynamically adjust the display order and content layout of the multi-level tabs to match the content of each level with the user's current needs and permissions; Design progressive navigation logic for each level of tabs to facilitate users to switch between tabs at different levels; The user's interactive behavior is analyzed, and the operation structure of the multi-level tab page is optimized so that the functional modules of different levels are dynamically adjusted according to the user's operation path and preference.

6. The method according to claim 1, characterized in that In the operation structure of the multi-level tab page, in response to a selection operation of a user, displaying content associated with the selected tab page according to the selection operation includes: In response to a selection operation of the user in the multi-level tab page operation structure, determining a tab page selected by the user; Call the content matching algorithm to dynamically load the content module associated with the selected tab and display it in real time in the interface; Expand the sub-tabs associated with the selected tab and display the lower-level tabs through a drop-down menu or swipe operation.

7. The method according to claim 6, characterized in that The method further comprises: Dynamically adjust the content structure of the selected tab page to enable the user to switch between tab pages at different levels and view the detailed content of each level of tab page; During the operation of multi-level tabs, the currently displayed content is automatically adjusted according to the user's subsequent selection operations to display the content and functions associated with the lower-level tabs; Among them, a button for returning to the previous level tab page is provided in any level of the tab page, so that the user can click the button to return to the previous level tab page.

8. An intelligent multi-level tab operation device, characterized in that: include: An acquisition module, configured to acquire user operation behavior data, usage preference data and permission data; A construction module, configured to construct a user profile of the user according to the operation behavior data, usage preference data and permission data; A list generation module is configured to generate a tab content recommendation list based on the user portrait using a content matching algorithm, wherein the tab content recommendation list includes at least one first-level tab and multiple multi-level tabs associated with the first-level tab; a structure generation module, configured to dynamically generate a multi-level tab page operation structure according to the tab page content recommendation list, wherein the multi-level tab page operation structure includes a first-level tab page and at least one lower-level tab page; The display module is configured to display the content associated with the selected tab page in response to a user's selection operation in the multi-level tab page operation structure according to the selection operation.

9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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