Interactive Web development method and system based on dynamic component library and intelligent prediction model

Abstract

The invention relates to the technical field of Internet, in particular to an interactive Web development method and system based on a dynamic component library and an intelligent prediction model, and the method comprises the following steps: constructing a component library comprising a plurality of basic components and user-defined components, the component library supporting dynamic loading and unloading of the components through a programming interface; a configuration system is provided, and a developer is allowed to dynamically adjust the component list in the component library according to the specific requirements of the Web page so as to optimize the page loading speed and the user experience; a lazy loading mechanism of the component is realized, that is, the corresponding component is loaded when the page needs, and the initial loading time is shortened; the interactive Web development method and system based on the dynamic component library and the intelligent prediction model have the beneficial effects that pages or components possibly needed by a user are loaded and pre-rendered in advance through the dynamic component library and the intelligent prediction model, the page loading time is shortened, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the field of Internet technology, and in particular to an interactive Web development method and system based on a dynamic component library and an intelligent prediction model. Background Art

[0002] A component library is a collection of pre-built, reusable user interface (UI) elements or components. These components are usually designed to be easily integrated in a variety of front-end frameworks or libraries, thereby speeding up the development process and ensuring the consistency and maintainability of the application interface. A dynamic component library is an extension of the traditional component library. It contains basic components and custom components and supports dynamic loading and unloading of components.

[0003] Big models refer to machine learning models with large-scale parameters and complex computing structures. These models are usually built with deep neural networks and have billions or even hundreds of billions of parameters. Big models are designed to improve the expressiveness and predictive performance of the models and to handle more complex tasks and data. Intelligent prediction models are based on big models and use machine learning technology to perform data analysis and prediction to guide decision-making and optimize business processes. Such models are usually built based on a large amount of historical data and algorithms to make predictions in the future.

[0004] Based on the dynamic component library and intelligent prediction model technology, it is currently necessary to propose an interactive Web front-end development solution based on the dynamic component library and intelligent prediction model to meet the high standard requirements of modern Web applications. Summary of the invention

[0005] The purpose of the present invention is to provide an interactive Web development method and system based on a dynamic component library and an intelligent prediction model to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: an interactive Web development method based on a dynamic component library and an intelligent prediction model, the method comprising the following steps:

[0007] Build a component library that includes a variety of basic components and custom components. The component library supports dynamic loading and unloading of components through programming interfaces.

[0008] Provide a configuration system that allows developers to dynamically adjust the component list in the component library according to the specific needs of the web page to optimize page loading speed and user experience;

[0009] Implement a lazy loading mechanism for components, that is, load the corresponding components only when the page needs them, reducing the initial loading time.

[0010] Preferably, the method further includes the step of using an intelligent prediction model to optimize the web page, specifically:

[0011] Use machine learning algorithms to train users’ historical browsing behavior, click patterns and other data to build a user behavior prediction model;

[0012] Based on the prediction model, predict the pages or components that users may visit in future operations;

[0013] Based on the prediction results, these pages or components are loaded and pre-rendered in advance to reduce user waiting time and improve page rendering speed and interaction smoothness.

[0014] Preferably, the development of a web page layout engine that supports real-time adjustment and dynamic change is also included, and the specific operations include:

[0015] Design a page layout adjustment mechanism based on user interaction, allowing users to change the page layout in real time by dragging and zooming;

[0016] Implement the automatic adjustment function of the layout engine to automatically optimize the page layout according to user operations to ensure the adaptability of the page to different devices and screen sizes;

[0017] Provides a variety of layout templates and customization options to support diverse page layout requirements.

[0018] Preferably, it also includes efficient communication and data sharing between Web components, and the specific operations include:

[0019] Define a unified set of data interface specifications to ensure smooth data exchange between different components;

[0020] Implement event triggering mechanism, allowing components to interact through event listening and triggering;

[0021] Adopt the loosely coupled design principle to reduce the dependencies between components and improve the maintainability and scalability of the system.

[0022] Preferably, real-time monitoring and optimization of Web application performance are also included, and specific operations include:

[0023] Deploy performance monitoring modules to collect and analyze Web application performance data in real time, including but not limited to page loading time, rendering speed, and memory usage;

[0024] Automatically analyze the collected performance data using optimization algorithms to identify performance bottlenecks;

[0025] Based on the analysis results, developers are automatically prompted to take optimization measures, including but not limited to resource compression, code optimization, and cache strategy adjustment, to improve the overall performance and user experience of Web applications.

[0026] An interactive Web development system based on a dynamic component library and an intelligent prediction model, the system comprising:

[0027] Dynamic component library module, used to store and manage a variety of basic components and custom components, and supports dynamic loading and unloading of components according to page requirements;

[0028] Intelligent prediction module, which uses machine learning algorithms to analyze user behavior, predict the pages or components that users may visit, and load and pre-render these resources in advance;

[0029] Interactive layout engine module, which supports real-time adjustment of page layout according to user operations;

[0030] The inter-component communication and data sharing module enables efficient communication between components by defining a unified data interface and event triggering mechanism;

[0031] The performance monitoring and optimization module monitors the performance data of Web applications in real time and provides optimization suggestions.

[0032] Preferably, the dynamic component library module further includes:

[0033] The component version management function allows developers to update components without affecting the operation of existing pages.

[0034] Preferably, the intelligent prediction module also includes:

[0035] The user portrait building function builds personalized user portraits based on users' long-term behavior data to more accurately predict user preferences.

[0036] Preferably, the interactive layout engine module supports responsive layout design, automatically adapting to different devices and screen sizes, ensuring that users can get a good browsing experience on any device.

[0037] Preferably, the performance monitoring and optimization module also includes:

[0038] The anomaly detection function automatically identifies and reports anomalies in system operation, helping developers quickly locate and solve problems. This module also supports historical trend analysis of performance data, providing developers with long-term performance optimization guidance.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The interactive Web development method and system based on a dynamic component library and an intelligent prediction model proposed in the present invention can load and pre-render pages or components that may be needed by users in advance through the dynamic component library and the intelligent prediction model, thereby reducing page loading time and improving user experience; through an interactive layout engine and a communication mechanism between components, it supports real-time adjustment and dynamic change of page layout, and provides a more flexible and personalized interactive experience; by defining a unified data interface and event triggering mechanism, it reduces the coupling between components and improves the maintainability and scalability of the system; by real-time monitoring and optimizing the performance data of Web applications, it improves the overall performance of Web applications and meets the high standards of modern Web applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a system architecture diagram of the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose and technical solution of the present invention clearly and completely described, and the advantages more clearly understood, the embodiments of the present invention are further described in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are part of the embodiments of the present invention, rather than all of the embodiments, and are only used to explain the embodiments of the present invention, and are not used to limit 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] For example, see Figure 1 The present invention provides a technical solution: an interactive Web development method based on a dynamic component library and an intelligent prediction model, the method comprising the following steps:

[0044] 1) Build a dynamic component library: By collecting and analyzing the component requirements of different Web applications, we design and implement a component library that includes a variety of basic components and custom components. This component library supports dynamic loading and unloading of components, and can dynamically adjust the components in the component library according to page requirements, reducing unnecessary resource waste and improving page loading speed and user experience.

[0045] 2) Train intelligent prediction models: Use machine learning algorithms to analyze and predict user behavior. By analyzing the user's historical operation data and behavior patterns, an intelligent prediction model that can predict the user's future behavior is trained. This model can load and pre-render pages or components that the user may need based on the user's current operations and historical behaviors, further improving page rendering speed and interactive experience.

[0046] 3) Design an interactive layout engine: Design a page layout engine based on user interaction to support real-time adjustment and dynamic changes of page layout. The engine can automatically adjust the page layout according to user operations, providing a more flexible and personalized interactive experience. At the same time, the engine also supports multiple layout methods and style customization to meet the needs of different Web applications.

[0047] 4) Implement inter-component communication mechanism: By defining a unified data interface and event triggering mechanism, efficient communication and data sharing between components can be achieved. Different components can exchange data and collaborate through event triggering and monitoring, reducing the coupling between components and improving the maintainability and scalability of the system.

[0048] 5) Monitor and optimize performance: Real-time monitoring of Web application performance data, including page loading time, rendering speed, memory usage, etc. Automatically analyze and optimize performance bottlenecks through optimization algorithms, such as compressing code, optimizing image loading, reducing HTTP requests, etc., to improve the overall performance of Web applications.

[0049] Embodiment 2, based on embodiment 1, proposes an interactive Web development system based on a dynamic component library and an intelligent prediction model, the system comprising:

[0050] 1) Dynamic component library: Build a component library that contains a variety of basic components and custom components, support dynamic loading and unloading of components, dynamically adjust components in the component library according to page requirements, and improve page loading speed and user experience.

[0051] 2) Intelligent prediction model: Use machine learning algorithms to analyze and predict user behavior, load and pre-render pages or components that users may need in advance, and further improve page rendering speed and interactive experience.

[0052] 3) Interactive layout engine: Design a page layout engine based on user interaction, support real-time adjustment and dynamic change of page layout, automatically adjust page layout according to user operations, and provide a more flexible and personalized interactive experience.

[0053] 4) Communication mechanism between components: realize efficient communication and data sharing between components, reduce the coupling between components and improve the maintainability and scalability of the system by defining a unified data interface and event triggering mechanism.

[0054] Performance monitoring and optimization module: real-time monitoring of Web application performance data, including page loading time, rendering speed, memory usage, etc., automatically analyzes and optimizes performance bottlenecks through optimization algorithms, and improves the overall performance of Web applications.

[0055] The following effects are achieved:

[0056] Dynamic component library:

[0057] Currently, popular component libraries such as Ant Design and Element are fully loaded, and cannot dynamically adjust the components of the component library according to page requirements, which will cause resource waste. The dynamic component library proposed in this solution supports dynamic loading and unloading of components, and can dynamically adjust the components of the component library according to page requirements, effectively reducing resource waste.

[0058] Smart Prediction:

[0059] Traditional web applications only load resource files for the first time or after a specified operation, which can cause page freezes and white screens when there are many resource files and they are large in size. This solution uses a trained intelligent prediction model to preload and pre-render pages or components that users may need based on their current operations and historical behaviors, which can effectively reduce freezes and white screens and further improve page rendering speed and interactive experience.

[0060] Interactive layout:

[0061] Traditional Web applications do not support real-time adjustment and dynamic changes of page layout. This solution supports real-time adjustment and dynamic changes of page layout by designing a page layout engine based on user interaction, providing a more flexible and personalized interactive experience. It also supports multiple layout methods and style customization to meet the needs of different Web applications.

[0062] Low coupling:

[0063] Traditional Web application components have a high degree of coupling when communicating and exchanging data. This solution defines a unified data interface and event triggering mechanism to achieve efficient communication and data sharing between components, reduce the degree of coupling between components, and improve the maintainability and scalability of the system.

[0064] Performance Monitoring:

[0065] This solution monitors page loading time, rendering speed, memory usage, etc., automatically analyzes and optimizes performance bottlenecks through optimization algorithms, and adopts corresponding optimization strategies based on the problems that need to be optimized to improve the overall performance of Web applications.

[0066] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An interactive Web development method based on a dynamic component library and an intelligent prediction model, characterized in that: The method comprises the following steps: Build a component library that includes a variety of basic components and custom components. The component library supports dynamic loading and unloading of components through programming interfaces. Provide a configuration system that allows developers to dynamically adjust the component list in the component library according to the specific needs of the web page to optimize page loading speed and user experience; Implement a lazy loading mechanism for components, that is, load the corresponding components only when the page needs them, reducing the initial loading time.

2. The interactive Web development method based on a dynamic component library and an intelligent prediction model according to claim 1, characterized in that: It also includes steps for using intelligent prediction models to optimize web pages, specifically: Use machine learning algorithms to train users’ historical browsing behavior, click patterns and other data to build a user behavior prediction model; Based on the prediction model, predict the pages or components that users may visit in future operations; Based on the prediction results, these pages or components are loaded and pre-rendered in advance to reduce user waiting time and improve page rendering speed and interaction smoothness.

3. The interactive Web development method based on dynamic component library and intelligent prediction model according to claim 1, characterized in that: It also includes the development of a web page layout engine that supports real-time adjustment and dynamic changes. Specific operations include: Design a page layout adjustment mechanism based on user interaction, allowing users to change the page layout in real time by dragging and zooming; Implement the automatic adjustment function of the layout engine to automatically optimize the page layout according to user operations to ensure the adaptability of the page to different devices and screen sizes; Provides a variety of layout templates and customization options to support diverse page layout requirements.

4. The interactive Web development method based on a dynamic component library and an intelligent prediction model according to claim 1, characterized in that: It also includes efficient communication and data sharing between Web components. Specific operations include: Define a unified set of data interface specifications to ensure smooth data exchange between different components; Implement event triggering mechanism, allowing components to interact through event listening and triggering; Adopt the loosely coupled design principle to reduce the dependencies between components and improve the maintainability and scalability of the system.

5. The interactive Web development method based on dynamic component library and intelligent prediction model according to claim 1, characterized in that: It also includes real-time monitoring and optimization of Web application performance, including: Deploy performance monitoring modules to collect and analyze Web application performance data in real time, including but not limited to page loading time, rendering speed, and memory usage; Automatically analyze the collected performance data using optimization algorithms to identify performance bottlenecks; Based on the analysis results, developers are automatically prompted to take optimization measures, including but not limited to resource compression, code optimization, and cache strategy adjustment, to improve the overall performance and user experience of Web applications.

6. An interactive Web development system based on a dynamic component library and an intelligent prediction model according to the interactive Web development method based on a dynamic component library and an intelligent prediction model according to any one of claims 1 to 5, characterized in that: The system comprises: Dynamic component library module, used to store and manage a variety of basic components and custom components, and supports dynamic loading and unloading of components according to page requirements; Intelligent prediction module, which uses machine learning algorithms to analyze user behavior, predict the pages or components that users may visit, and load and pre-render these resources in advance; Interactive layout engine module, which supports real-time adjustment of page layout according to user operations; The inter-component communication and data sharing module enables efficient communication between components by defining a unified data interface and event triggering mechanism; The performance monitoring and optimization module monitors the performance data of Web applications in real time and provides optimization suggestions.

7. The interactive Web development system based on dynamic component library and intelligent prediction model according to claim 6, characterized in that: The dynamic component library module further includes: The component version management function allows developers to update components without affecting the operation of existing pages.

8. The interactive Web development system based on dynamic component library and intelligent prediction model according to claim 6, characterized in that: The intelligent prediction module also includes: The user portrait building function builds personalized user portraits based on users' long-term behavior data to more accurately predict user preferences.

9. The interactive Web development system based on dynamic component library and intelligent prediction model according to claim 6, characterized in that: The interactive layout engine module supports responsive layout design, automatically adapting to different devices and screen sizes, ensuring that users can get a good browsing experience on any device.

10. The interactive Web development system based on dynamic component library and intelligent prediction model according to claim 6, characterized in that: The performance monitoring and optimization module also includes: The anomaly detection function automatically identifies and reports anomalies in system operation, helping developers quickly locate and solve problems. This module also supports historical trend analysis of performance data, providing developers with long-term performance optimization guidance.

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