Personalized webpage design system based on artificial intelligence technology

Abstract

The invention discloses a personalized webpage design system based on an artificial intelligence technology, and the system comprises a data collection module which is used for collecting the browsing history, click behavior and preference data of a user; the data analysis module is used for analyzing the user data collected by the data collection module and identifying interests and preferences of the user; the establishing module is used for establishing a user personality model according to the user information analyzed by the data analysis module, dividing the users into different groups or labels, and establishing a mapping model of webpage elements and user preferences; the method belongs to the technical field of page design, and achieves the technical effects that according to user demands and preferences, webpage contents and recommendation functions are displayed in a personalized manner, so that a user feels website experience closer to personal demands, the viscosity and satisfaction of the user to a website are enhanced, and the user experience is improved by implementing a personalized webpage design technical scheme. Personalized customized service and experience can be provided for the user, and the recognition degree and the acceptability of the user to the website are increased.

Description

Technical Field

[0001] The present invention relates to the technical field of page design, and in particular to a personalized web page design system based on artificial intelligence technology. Background Art

[0002] Web design tools usually require users to manually design and adjust, and lack the ability to automatically adjust according to user personalized needs. Although recommendation systems can recommend content based on user behavior and preferences, they can usually only provide simple suggestions in web design and cannot fully realize the personalized design of web page layout, color and content.

[0003] In addition, CN108549566A discloses a method for generating personalized page and client layout based on user characteristics, including the following steps: establishing a precise online education system; recording user personal objective information and user personal characteristic information in a role-based user management subsystem; extracting user personal objective information, providing a personalized page and a default automatic layout of the client, and providing multiple automatic layout options for the user to choose from; automatically arranging and adjusting the page or client content based on the recommended automatic layout or the layout selected by the user and the user's personal characteristic information; and adding personalized content that meets the user's needs to the page or client layout;

[0004] The above patent realizes changing the personalized page and client layout recommended by the system based on the optional personalized page and client layout options; adjusting and updating the personalized page and client layout at preset time intervals, but cannot perform in-depth customized optimization for user experience, and the page provided by the system is the page that the system itself infers that the user may like, which cannot completely represent that the inferred page is what the user likes. Therefore, there are elements in the page that the user does not like, and the user cannot provide real-time feedback on the page according to his or her actual preferences, which greatly reduces the user experience.

[0005] At the same time, the web design lacks personalization and cannot adjust the web page layout, color and content according to the user's real-time needs and preferences. Summary of the invention

[0006] To this end, the present invention provides a personalized web page design system based on artificial intelligence technology to solve the above-mentioned problems in the prior art.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] According to a first aspect of the present invention, a personalized webpage design system based on artificial intelligence technology comprises:

[0009] Data collection module, used to collect users' browsing history, click behavior, and preference data;

[0010] A data analysis module is used to analyze the user data collected by the data collection module and identify the user's interests and preferences;

[0011] A building module is used to build a user personality model based on the user information analyzed by the data analysis module, divide users into different groups or labels, and build a mapping model between web page elements and user preferences;

[0012] A web design module is used to design and adjust the web page layout, color and content according to the mapping model established by the establishment module to determine the user's priority preferences and adjust the web page design according to real-time needs;

[0013] The feedback module is used to facilitate users to provide opinions and suggestions, and continuously improve and optimize based on user feedback.

[0014] Furthermore, the web page design module is also used to adjust and optimize web page content based on the user behavior data analyzed by the data analysis module to better meet user needs, design diversified page layouts and structures, and provide personalized recommended content or functions.

[0015] Furthermore, the establishment module is also used to regularly update the webpage content and layout according to the data analysis results fed back by the feedback module to keep the personalized design fresh.

[0016] Furthermore, the data analysis module is also used to make content recommendations based on the user preferences collected by the data collection module.

[0017] Furthermore, it also includes a data storage module for storing user data in real time according to the web page design adjusted by the web page design module, and automatically deleting expired data regularly.

[0018] Furthermore, the data analysis module is also used to establish user data flow classification management according to the feedback information of the users in the feedback module.

[0019] Furthermore, it also includes a real-time optimization module for monitoring and optimizing web page loading speed, interaction efficiency and user satisfaction.

[0020] Furthermore, the web design module is also used to generate personalized content in real time based on the user's specific preferences and interests, thereby increasing the user's stay time and interaction frequency on the website.

[0021] The present invention has the following advantages

[0022] Feedback mechanism: Users can provide real-time feedback on the page based on their actual preferences, which greatly improves the user experience.

[0023] Improve user experience: Personalize the display of web content and recommendation functions based on user needs and preferences, so that users can experience a website experience that is closer to their personal needs, and enhance user stickiness and satisfaction with the website.

[0024] Innovative user experience: Through the implementation of personalized web design technology solutions, we can provide users with personalized services and experiences, increase users' recognition and acceptance of the website, and create added value for the company.

[0025] Improve website click-through rate: Attract more target users to visit and click through precise personalized page design and content recommendations. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A system diagram of a personalized web page design system based on artificial intelligence technology provided by the present invention. DETAILED DESCRIPTION

[0027] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] Example 1

[0029] like Figure 1 As shown, a personalized webpage design system based on artificial intelligence technology in an embodiment of the first aspect of the present invention includes:

[0030] Data collection module, used to collect users' browsing history, click behavior, and preference data;

[0031] A data analysis module is used to analyze the user data collected by the data collection module and identify the user's interests and preferences;

[0032] A building module is used to build a user personality model based on the user information analyzed by the data analysis module, divide users into different groups or labels, and build a mapping model between web page elements and user preferences;

[0033] A web design module is used to design and adjust the web page layout, color and content according to the mapping model established by the establishment module to determine the user's priority preferences and adjust the web page design according to real-time needs;

[0034] Feedback module, which is used to facilitate users to provide opinions and suggestions, and continuously improve and optimize based on user feedback;

[0035] In the above embodiment, it should be noted that the user behavior data is used to construct a refined user portrait: by analyzing the user's browsing behavior, search behavior and other data, a more detailed and accurate user personality model is constructed to achieve a better understanding of the user's personalized needs. Browsing behavior data:

[0036] Page visit time: records the time users spend on each page and analyzes the user's interest in the content.

[0037] Click path: Track the user's click sequence to understand the user's navigation habits and preferences.

[0038] Search behavior data:

[0039] Search keywords: Count the keywords entered by users and analyze their needs and interests.

[0040] Search result click-through rate: records which search results are clicked and evaluates user preferences for different content;

[0041] Provide easy feedback mechanisms on your website, allowing users to select the color palette, layout, or type of content they prefer;

[0042] Provide a variety of website color schemes, users can choose their preferred theme, or automatically adjust the color according to the user's geographic location and time (such as night mode);

[0043] Color adjustment is similar to the theme. You can manually switch to define the theme color, switch through CSS variables, implement it through interactive clicks, or store the theme selected by the user. The next time you open it, it will still be the last selected theme color.

[0044] Example 2

[0045] like Figure 1 As shown, a personalized webpage design system based on artificial intelligence technology includes all the contents of Example 1. In addition, the webpage design module is also used to adjust and optimize webpage content according to the user behavior data analyzed by the data analysis module, so as to better meet user needs, design diversified page layouts and structures, and provide personalized recommended content or functions;

[0046] In the above embodiment, it should be noted that the dwell time can be set as a goal, for example, it is expected that the user stays on the page for more than 3 minutes. According to the user portrait, content related to their interests is pushed to increase the dwell time.

[0047] Interaction frequency: Set a goal for interaction frequency, for example, you want users to interact at least 5 times a week (such as commenting, liking, sharing, etc.). Attract user participation through personalized content;

[0048] Customized page elements usually refer to adjusting the interface components of a web page or application according to the user's personalized needs and preferences to improve the user experience and meet specific goals. This can include personalized settings of text, images, buttons, layouts, and other aspects, and the types of customized page elements.

[0049] Personalized recommendations:

[0050] Recommend relevant products, articles or videos based on the user's historical behavior, preferences and other characteristics. For example, an e-commerce website shows relevant products to users based on their browsing and purchasing history.

[0051] User characteristic information:

[0052] Display a personalized welcome message based on user input or registration information. For example, "Welcome back, John! We have new recommendations for you."

[0053] Adjust layout and navigation:

[0054] Optimize page layout based on user access habits. For example, place categories that users frequently visit in more prominent positions.

[0055] Example 3

[0056] like Figure 1 As shown, a personalized web page design system based on artificial intelligence technology includes all the contents of Example 1. In addition, the establishment module is also used to regularly update the web page content and layout according to the data analysis results fed back by the feedback module to keep the personalized design fresh;

[0057] In the above embodiment, it should be noted that the real-time adjustment and update of the personalized recommendation engine: establish a flexible and efficient personalized recommendation engine, adjust and update it in real time according to the real-time behavior data of users, ensure the timeliness and accuracy of the recommended content, and improve the user experience and conversion effect;

[0058] Data warehouse and database: Use SQL, NoSQL and other database technologies to store user data.

[0059] Data cleaning: Remove duplicates, missing values, and outliers to ensure data accuracy.

[0060] Feature engineering: prepare data for subsequent analysis through techniques such as feature selection and feature extraction;

[0061] User ID, gender, age, geographic location, registration time, browsing history (browsed pages, dwell time), click behavior (clicked links, buttons) and search history, etc.;

[0062] The analysis results are input into the recommendation system, and the personalized recommendation engine is used to recommend content and products that match the user's interests;

[0063] Based on real-time monitoring of user behavior, the web page layout, color and content display are automatically adjusted to enhance the user experience.

[0064] Example 4

[0065] like Figure 1 As shown, a personalized webpage design system based on artificial intelligence technology includes all the contents of embodiment 1. In addition, the data analysis module is also used to recommend content according to the user preferences collected by the data acquisition module, and also includes a data storage module, which is used to store user data in real time according to the webpage design adjusted by the webpage design module, and automatically delete expired data regularly;

[0066] In the above embodiments, it should be noted that the front-end display is designed and implemented to present personalized recommended content to users;

[0067] Data collection and preprocessing:

[0068] Collect users’ basic information, behavioral data, transaction data, etc.

[0069] Perform data cleaning, missing value processing and feature selection to ensure the quality and integrity of the data.

[0070] Feature extraction and selection:

[0071] Use a variety of techniques to extract useful features from user data;

[0072] Numerical features: such as purchase frequency and consumption amount.

[0073] Classification features: such as user gender and region.

[0074] Behavioral characteristics: such as visit duration and browsing history.

[0075] Precision Marketing:

[0076] Develop personalized marketing strategies for different user groups to improve marketing efficiency and user conversion rate.

[0077] Improve user experience;

[0078] Customize product recommendations, content display, and services according to different user needs and preferences to improve user satisfaction.

[0079] Product Improvement and Development:

[0080] By analyzing the feedback and behavior of users with different tags, we can identify the advantages and disadvantages of products and provide a basis for product iteration and new product development.

[0081] Personalized recommendations:

[0082] Based on user tags or groups, implement a personalized recommendation system to recommend products or content that meet user interests and needs.

[0083] Customized marketing activities:

[0084] Design exclusive promotional activities for users with specific tags, such as VIP activities for "high-value users" or recall strategies for "fake active users".

[0085] Regular evaluation and optimization:

[0086] Regularly track behavioral changes of users of each tag, adjust marketing strategies based on new data and tags, and optimize resource allocation in real time.

[0087] Product and service adjustments:

[0088] Redesign products or services based on feedback from different groups of users to improve user experience.

[0089] Build a user portrait database:

[0090] After each user interaction, the user portrait is continuously updated to ensure the dynamic nature of the data and provide a basis for more in-depth analysis.

[0091] Example 5

[0092] like Figure 1 As shown, a personalized webpage design system based on artificial intelligence technology includes all the contents of Example 1. In addition, the data analysis module is also used to establish user data flow classification management according to the feedback information of users in the feedback module, and also includes a real-time optimization module for monitoring and optimizing webpage loading speed, interaction efficiency and user satisfaction;

[0093] In the above embodiments, it should be noted that, through the implementation of the personalized web page design technical solution, it is possible to provide users with personalized customized services and experiences, increase users' recognition and acceptance of the website, and create added value for the enterprise;

[0094] Clear goals:

[0095] Determine the goals that need to be mapped, such as user purchase behavior, user churn prediction, user satisfaction score, etc.

[0096] Extract useful features from raw data, such as:

[0097] Time-based features (last purchase, frequency of visits);

[0098] Behavioral characteristics (average spending amount, repurchase rate);

[0099] Category characteristics (user group, purchase category);

[0100] Common algorithms for modeling using labeled datasets include:

[0101] Regression analysis (such as linear regression, logistic regression): used for continuous targets (such as consumption amount) or categorical targets (such as whether to purchase).

[0102] Support Vector Machine (SVM): Used for classification and regression problems, and performs particularly well in high-dimensional data.

[0103] Neural Networks: can be used to process very complex data models and are suitable for large-scale data sets;

[0104] Parameter tuning:

[0105] Use grid search or random search to optimize the model's hyperparameters to improve model performance.

[0106] Feature Importance Analysis:

[0107] Evaluate the impact of each feature on the model prediction results to further optimize the feature set or improve the model.

[0108] Example 6

[0109] like Figure 1 As shown, a personalized webpage design system based on artificial intelligence technology includes all the contents of embodiment 1. In addition, the webpage design module is also used to generate personalized content in real time according to the user's specific preferences and interests, thereby increasing the user's stay time and interaction frequency on the website;

[0110] In the above embodiments, it should be noted that the user feedback and improvement mechanism: the system should also include a user feedback mechanism so that users can put forward opinions and suggestions, and the system can be continuously improved and optimized based on user feedback.

Claims

1. A personalized web page design system based on artificial intelligence technology, characterized in that: include: Data collection module, used to collect users' browsing history, click behavior, and preference data; A data analysis module is used to analyze the user data collected by the data collection module and identify the user's interests and preferences; A building module is used to build a user personality model based on the user information analyzed by the data analysis module, divide users into different groups or labels, and build a mapping model between web page elements and user preferences; A web design module is used to design and adjust the web page layout, color and content according to the mapping model established by the establishment module to determine the user's priority preferences and adjust the web page design according to real-time needs; The feedback module is used to facilitate users to provide opinions and suggestions, and continuously improve and optimize based on user feedback.

2. According to claim 1, a personalized webpage design system based on artificial intelligence technology is characterized in that: The web design module is also used to adjust and optimize web page content based on the user behavior data analyzed by the data analysis module to better meet user needs, design diversified page layouts and structures, and provide personalized recommended content or functions.

3. The personalized webpage design system based on artificial intelligence technology according to claim 1, characterized in that: The establishment module is also used to regularly update the webpage content and layout according to the data analysis results fed back by the feedback module to keep the personalized design fresh.

4. The personalized webpage design system based on artificial intelligence technology according to claim 1, characterized in that: The data analysis module is also used to make content recommendations based on the user preferences collected by the data collection module.

5. The personalized webpage design system based on artificial intelligence technology according to claim 1 is characterized in that: It also includes a data storage module, which is used to store user data in real time according to the web page design adjusted by the web page design module, and automatically delete expired data regularly.

6. The personalized webpage design system based on artificial intelligence technology according to claim 1, characterized in that: The data analysis module is also used to establish user data flow classification management according to the feedback information of users in the feedback module.

7. The personalized webpage design system based on artificial intelligence technology according to claim 1 is characterized in that: It also includes a real-time optimization module for monitoring and optimizing web page loading speed, interaction efficiency and user satisfaction.

8. The personalized webpage design system based on artificial intelligence technology according to claim 1, characterized in that: The web design module is also used to generate personalized content in real time based on users' specific preferences and interests, increasing users' stay time and interaction frequency on the website.

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