Intelligent manicure pattern printing system and method

Abstract

The invention provides an intelligent manicure pattern printing system and method, and the system comprises a manicure printer, and also comprises a pattern storage module which is used for constructing a manicure pattern database and storing manicure pattern data; the user interaction module is integrated in a mobile terminal application program and is used for receiving a manicure pattern selection or generation instruction input by a user; the AI pattern generation module is used for generating a manicure pattern according to a manicure pattern generation instruction input by a user; the printing control module is in communication connection with the manicure printer and used for converting manicure pattern data selected by the user into a printing instruction and controlling printing execution, personalized and high-interactivity manicure experience is provided for the user, creativity and diversity of manicure patterns are further expanded through an AI pattern generation function, and the manicure experience is improved. Through the system, the user can easily beautify nails at home or anywhere without the help of a professional nail beautifier, so that the practicability and the convenience of the system are improved to a great extent.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent nail art pattern printing, and particularly to an intelligent nail art pattern printing system and method. Background Art

[0002] Traditional nail art services usually require users to go to a nail salon in person, and professional nail artists hand-draw patterns. Although this method can provide a highly customized experience, it has several significant drawbacks: First, it takes a long time because each design requires delicate manual operation; second, the cost is relatively high; finally, due to relying on personal skills, the technical levels and styles of different nail artists may vary, resulting in unstable results.

[0003] With the progress of technology, some printers that can print nail stickers have emerged on the market. These devices allow users to print preset patterns by themselves or select patterns from a limited library of images, and then paste them on their nails. However, such methods lack personalization. The existing printers offer limited pattern options and cannot meet users' pursuit of uniqueness and personalization, making users can only passively accept ready-made designs and cannot participate in the pattern creation process, lacking the fun of creation and the opportunity to express themselves. Although some printers support uploading pictures for printing, they do not have intelligent processing capabilities and cannot automatically adjust or generate new patterns according to users' specific needs. Moreover, most existing patterns are relatively common, making it difficult to avoid similarity with other users' patterns, reducing uniqueness and freshness.

[0004] Therefore, the existing technology still needs to be further developed. Summary of the Invention

[0005] The purpose of the present invention is to overcome the above-mentioned technical deficiencies and provide an intelligent nail art pattern printing system and method to solve the problems existing in the prior art.

[0006] To achieve the above technical objectives, according to the first aspect of the present invention, the present invention provides an intelligent nail art pattern printing system, including a nail art printer, and further including: A pattern storage module, used to build a nail art pattern database and store nail art pattern data; A user interaction module, integrated in a mobile terminal application, used to receive the nail art pattern selection or generation instruction input by the user; An AI pattern generation module, used to generate a nail art pattern according to the nail art pattern generation instruction input by the user; A printing control module, communicatively connected to the nail art printer, used to convert the nail art pattern data selected by the user into a printing instruction and control the printing execution.

[0007] Specifically, the system further includes a user design module, which is communicatively connected to the pattern storage module. The user design module is configured to receive a manicure pattern designed by the user and upload it to the pattern storage module for storage.

[0008] Specifically, the types of the stored manicure pattern data include: The manicure patterns uploaded by designers, the manicure patterns independently designed and uploaded by users, and the manicure patterns generated by the AI pattern generation module.

[0009] Specifically, the manicure pattern generation instruction includes a text description, a reference picture, or a modification request for an existing manicure pattern in the pattern storage module.

[0010] Specifically, the AI pattern generation module includes a derivative pattern generation module, which is configured to generate derivative patterns of the manicure pattern selected by the user.

[0011] Specifically, the manicure printer includes a print head, a pattern selection interface, and a nail positioning device.

[0012] According to a second aspect of the present invention, there is provided an intelligent manicure pattern printing method, including: S100. Obtain a manicure pattern selection or generation instruction input by the user through the user interaction module; S200. If the user inputs a manicure pattern selection instruction, use the print control module to control the manicure printer to perform a printing operation on the manicure pattern selected by the user; S300. If the user inputs a manicure pattern generation instruction, use the AI pattern generation module to generate a manicure pattern, and use the print control module to control the manicure printer to perform a printing operation on the generated manicure pattern.

[0013] Specifically, the method of using the AI pattern generation module to generate a manicure pattern includes: Parse the manicure pattern generation instruction through an AI model. If the manicure pattern generation instruction contains text or pictures, generate an initial candidate pattern set that matches the user's requirements; If the manicure pattern generation instruction is a selected existing manicure pattern, use the existing manicure pattern as a seed pattern, and generate a series of derivative pattern sets through feature decoupling and style perturbation.

[0014] Specifically, the method of using the existing manicure pattern as a seed pattern and generating a series of derivative pattern sets through feature decoupling and style perturbation includes: Perform feature space mapping on the seed pattern, and extract its style feature vector and content feature vector; Apply perturbation to at least one dimension of the style feature vector to generate a new perturbed feature vector; Fusing and reconstructing the new feature vector and the content feature vector through a generator network, and outputting a derivative pattern with a visual similarity within a preset threshold range.

[0015] Specifically, the method further includes: Recording the historical data of the browsing duration, download or print operations of each pattern in the derivative pattern set by the user; Dynamically adjusting the style perturbation amplitude during the generation of subsequent derivative patterns according to the historical data, and optimizing the matching degree between the derivative pattern and the user preference.

[0016] Beneficial effects: The present invention provides an intelligent nail art pattern printing system and method, including a pattern storage module, a user interaction module, an AI pattern generation module, and a printing control module. The user inputs a nail art pattern selection or generation instruction through the user interaction module. If the user inputs a nail art pattern selection instruction, the printing control module is used to control the nail art printer to perform a printing operation on the nail art pattern selected by the user. If the user inputs a nail art pattern generation instruction, the AI pattern generation module is used to generate a nail art pattern, and the printing control module is used to control the nail art printer to perform a printing operation on the generated nail art pattern. The present invention provides a personalized and highly interactive nail art experience for users, and further expands the creativity and diversity of nail art patterns through the AI pattern generation function. Through this system, users can easily perform nail art at home or anywhere without the help of professional nail artists, greatly improving the practicality and convenience of the present invention. Description of the Drawings

[0017] Figure 1 is a schematic diagram of the composition of the intelligent nail art pattern printing system provided in the specific embodiment of the present invention; Figure 2 is a flowchart of the pattern printing method of the intelligent nail art provided in the specific embodiment of the present invention. Specific Embodiments

[0018] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the technical solutions of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Based on the embodiments in this application, other similar embodiments obtained by those of ordinary skill in the art without making creative efforts shall all fall within the scope of protection of this application. In addition, the directional terms mentioned in the following embodiments, such as "upper", "lower", "left", "right", etc., are only references to the directions in the drawings. Therefore, the directional terms used are for illustration rather than limitation of the present invention.

[0019] The present invention will be further described below in conjunction with the drawings and preferred embodiments.

[0020] Please refer to Figure 1, this embodiment provides a nail art pattern printing system, including a nail art printer, and further including: A pattern storage module, used to construct a nail art pattern database and store nail art pattern data; A user interaction module, integrated into the mobile terminal application, used to receive nail art pattern selection or generation instructions input by the user; An AI pattern generation module, used to generate nail art patterns according to the nail art pattern generation instructions input by the user; A printing control module, communicatively connected to the nail art printer, used to convert the selected nail art pattern data into printing instructions and control the printing execution.

[0021] It can be understood that in the nail art pattern printing system of this embodiment, the pattern storage module constructs a database to store pattern data, making the patterns rich and easy to manage and update; the user interaction module is integrated into the mobile terminal application, which is convenient to operate and enables the user to input instructions according to their preferences to achieve personalized customization of nail art patterns; the AI pattern generation module generates patterns according to the user's instructions, which is full of creativity and can meet the niche and special needs; the printing control module is connected to the nail art printer, converts the selected pattern data into printing instructions to accurately control and efficiently execute the printing, ensuring that the pattern is complete, clear, the color is accurate and reducing the user's waiting time. The pattern storage, user interaction, AI pattern generation and printing control modules in the above nail art pattern printing system cooperate to achieve the overall technical effects of diverse and easy-to-manage patterns, convenient and customizable operation, infinite creativity and accurate and efficient printing.

[0022] Specifically, the system further includes a user design module, communicatively connected to the pattern storage module, and the user design module is used to receive the nail art patterns designed by the user and upload them to the pattern storage module for storage.

[0023] Further, in some specific embodiments, the user design module may include drawing tools. The user can use the drawing tools to design nail art patterns, or upload the patterns designed by themselves to the pattern storage module for the user to select, or use it as a sharing platform for other users to pay for downloading and using.

[0024] Specifically, the types of the stored nail art pattern data include: The nail art patterns uploaded by designers, the nail art patterns independently designed and uploaded by users, and the nail art patterns generated by the AI pattern generation module.

[0025] In some specific embodiments, the pattern storage module serves as a nail art pattern market where users can browse various nail art patterns in the corresponding App. The sources of the patterns include a pattern database provided by professional designers, personal designs uploaded by other users, the designs of the users themselves, or nail art patterns generated by the AI pattern generation module according to user needs.

[0026] Specifically, the nail art pattern generation instruction includes a text description, a reference picture, or a modification request for an existing nail art pattern in the pattern storage module.

[0027] Specifically, the AI pattern generation module includes a derivative pattern generation module that is used to generate derivative patterns of the nail art pattern selected by the user.

[0028] It should be noted here that the AI pattern generation module includes a text-to-image function. Users can use the text-to-image function of the AI pattern generation module to generate the desired pattern by text description or uploading a reference picture. Multiple pattern options can also be generated according to the user's description or reference picture for the user to choose. The AI can also use the existing patterns in the pattern market as a reference to generate derivative patterns, that is, similar but different patterns. In this way, a pattern can give rise to a series, allowing users to experience unique and personalized patterns.

[0029] In the nail art pattern printing system of this embodiment, the pattern storage module can serve as a nail art pattern sharing platform, providing interactive access to multi-source data, for receiving custom patterns uploaded by users through a drawing tool or an external file, and storing the custom patterns in the shared platform of the database for other users to download and use based on a paid authorization or points redemption mechanism.

[0030] Preferably, the pattern storage module further includes: A social sharing unit for providing functions of pattern sharing, commenting, and rating among users. Users can share patterns with friends in this app or friends in other social apps, and can also share patterns to social software (such as WeChat Moments, QQ Space, Weibo, etc.); A paid download interface connected to the user account system, supporting users to pay for downloading original patterns uploaded by designers or highly popular patterns generated by the AI, and distributing the proceeds to designers or uploading users according to a preset ratio.

[0031] Preferably, the social sharing unit further includes: A popularity sorting module that dynamically adjusts the display priority of patterns in the shared platform based on user download volume, rating data, and social interaction frequency.

[0032] Specifically, the nail art printer includes a print head, a pattern selection interface, and a nail positioning device.

[0033] It can be understood that the nail art printer can receive pattern data from the pattern storage module and print on the nails. The communication between the pattern storage module and the printer can be connected through wired or wireless communication technologies (such as Bluetooth, Wi-Fi) to ensure that users can conveniently control the nail art printer and receive the printing status.

[0034] Furthermore, the App is equipped with a user account system where users can register accounts, manage personally uploaded patterns, track download and printing histories, and conduct social interactions.

[0035] The AI pattern generation module further includes: A multimodal input parsing unit that extracts aesthetic feature keywords from text descriptions through natural language processing technology and / or extracts color distribution, composition elements, and style labels of reference pictures through image recognition technology; A generative adversarial network unit that contains a pre-trained pattern generation model. The model iteratively generates candidate patterns based on the input feature vector and filters out patterns that meet the user's intention through a discriminative network for output.

[0036] The generation of the series of derivative patterns specifically includes: Performing feature decoupling on the seed pattern to obtain a style vector and a content vector; By adjusting the preset weight parameters in the style vector, a set of derivative patterns with gradient changes in color scheme, texture density, or spatial distribution of decorative elements is generated.

[0037] Preferably, the user interaction module further includes: A personalized recommendation unit that constructs a preference profile based on the user's historical operation data and actively pushes patterns generated by AI and derivative series when the user does not input a clear instruction.

[0038] It should be noted here that this embodiment provides an intelligent nail art pattern printing system, including a pattern storage module, a user interaction module, an AI pattern generation module, and a printing control module. The user inputs a nail art pattern selection or generation instruction through the user interaction module. If the user inputs a nail art pattern selection instruction, the printing control module is used to control the nail art printer to perform a printing operation on the nail art pattern selected by the user. If the user inputs a nail art pattern generation instruction, the AI pattern generation module is used to generate a nail art pattern, and the printing control module is used to control the nail art printer to perform a printing operation on the generated nail art pattern. The present invention provides a personalized and highly interactive nail art experience for users. Moreover, through the AI pattern generation function, the creativity and diversity of nail art patterns are further expanded. Through this system, users can easily perform nail art at home or anywhere without the help of professional nail artists, which greatly improves the practicality and convenience of the present invention.

[0039] Please refer to Figure 2 , this embodiment provides an intelligent nail art pattern printing method, and the system includes: S100. Obtain a nail art pattern selection or generation instruction input by the user through the user interaction module; S200. If the user inputs a nail art pattern selection instruction, use the printing control module to control the nail art printer to perform a printing operation on the nail art pattern selected by the user; S300. If the user inputs a nail art pattern generation instruction, use the AI pattern generation module to generate a nail art pattern, and use the printing control module to control the nail art printer to perform a printing operation on the generated nail art pattern.

[0040] It can be understood that the intelligent nail art pattern printing method in this embodiment obtains user instructions through the user interaction module, and this operation method provides a convenient interaction path for users. Users can easily input nail art pattern selection or generation instructions without complex operation processes, which improves the operability of the entire nail art pattern printing process and meets the efficient requirements of users for obtaining and printing nail art patterns in daily life scenarios. When the user inputs a nail art pattern generation instruction, the AI pattern generation module can generate a nail art pattern. This technical means realizes the personalized customization of nail art patterns. It breaks through the limitations of traditional nail art patterns, and users can obtain unique nail art patterns according to their own unique creativity and aesthetic needs, meeting the pursuit of different users for personalized and creative nail art, and providing technical support for the innovative development of nail art.

[0041] Specifically, the method for using the AI pattern generation module to generate a nail art pattern includes: Parse the nail art pattern generation instruction through the AI model. If the nail art pattern generation instruction contains text or pictures, generate an initial candidate pattern set that matches the user's needs; If the nail art pattern generation instruction is a selected existing nail art pattern, the existing nail art pattern is used as a seed pattern, and a series of derivative pattern sets are generated through feature decoupling and style perturbation.

[0042] Specifically, the method of using the existing nail art pattern as a seed pattern to generate a series of derivative pattern sets through feature decoupling and style perturbation includes: Perform feature space mapping on the seed pattern to extract its style feature vector and content feature vector; Apply perturbation on at least one dimension of the style feature vector to generate a new perturbed feature vector; Through the generator network, fuse and reconstruct the new feature vector with the content feature vector, and output derivative patterns with visual similarity within a preset threshold range.

[0043] It should be further noted that the method of using the AI pattern generation module to generate nail art patterns in this embodiment can specifically realize the personalized generation and derivative optimization of nail art patterns based on the deep learning feature decoupling and controllable style perturbation technology. The specific implementation steps are as follows: 1. Parsing of nail art pattern generation instructions and generation of initial candidate set Step 1: Multimodal instruction parsing When the user input is a text description or a reference picture, the system encodes the text / picture instruction into a high-dimensional semantic vector through a multimodal joint embedding model (such as the CLIP model) as follows: Text instruction processing: Use a pre-trained language model such as BERT to extract the semantic features of text keywords (such as color, texture, theme elements), and identify the core design requirements through the attention mechanism (for example, "gradient" is a key style constraint).

[0044] Picture instruction processing: Use a convolutional network such as ResNet-50 to extract the deep visual features of the picture, and capture multi-scale details through a feature pyramid structure (such as petal shape, color transition mode).

[0045] Step 2: Initial pattern generation and screening Input the semantic vector into a conditional generative adversarial network (cGAN) or a diffusion model to generate an initial candidate set: The generator network adopts a U-Net structure, and fuses the user instruction vector with random noise in the decoding stage to generate candidate patterns with a resolution of not less than 512×512 pixels.

[0046] Screen the Top-K (for example, K = 10) candidates through cross-modal similarity calculation (such as calculating the cosine similarity between the CLIP embedding of the generated image and the instruction vector), and perform secondary sorting optimization based on the user's historical preference data (such as click-through rate, favorite tags).

[0047] 2. Derived Pattern Generation Method Based on Seed Patterns Step 1: Feature Decoupling and Spatial Mapping Perform hierarchical feature decoupling on the seed pattern selected by the user: Use a variational autoencoder (VAE) or StyleSpace of StyleGAN to map the input image to a decoupled latent space.

[0048] Style Feature Vector (S∈R^d1): Extract high-frequency details (such as brushstroke textures, light and shadow gradients) and color distribution parameters (such as statistical features of the HSV histogram) through global average pooling.

[0049] Content Feature Vector (C∈R^d2): Capture the main structure (such as flower outlines, geometric arrangements) and element topological relationships (such as the relative positions of petals and leaves) through a spatial attention mechanism.

[0050] Technical Details: Use a contrastive learning loss function (such as SimCLR) to constrain the orthogonality of the style and content vectors of different samples to ensure the effectiveness of decoupling.

[0051] Step 2: Controllable Style Perturbation Strategy Apply directional perturbations to the selected dimensions of the style vector to generate diverse variants: Dimension Selection: Determine highly editable style dimensions through sensitivity analysis (such as calculating the gradient response intensity of each dimension to the output image). For example: Dimension α: Control color saturation (perturbation range Δα∈[-0.3, +0.5]); Dimension β: Adjust texture density (perturbation step 0.1 / step); Perturbation methods include: Linear Interpolation: Interpolate between the seed style vector S and a preset style template (such as the "watercolor style" vector) to generate a transitional effect.

[0052] Gaussian Noise Injection: Add Gaussian noise with μ = 0 and σ = 0.05 to low-sensitivity dimensions to maintain the consistency of the main style.

[0053] Adversarial Perturbation: Generate adversarial samples through the Fast Gradient Sign Method (FGSM) to explore the possibility of style mutations.

[0054] Step 3: Feature Fusion and Visual Consistency Constraint Input the perturbed style vector S' and the original content vector C into the generator network G to reconstruct the derived pattern: Network Architecture: The generator uses an Adaptive Instance Normalization (AdaIN) layer to dynamically adjust the modulation intensity of style features on content features; Similarity constraint: The difference between the output image and the seed pattern is constrained by two indicators, the Structural Similarity Index (SSIM) and the Peak Signal-to-Noise Ratio (PSNR) (for example, SSIM≥0.85 and PSNR≥28dB); Real-time preview optimization: During the generation process, a difference heat map is superimposed and displayed, and local regeneration is performed on areas exceeding the threshold (such as only adjusting the nail edge texture); For example, text instruction generation: The user inputs "ocean-themed gradient blue", and after the system parses it, 10 candidate patterns containing wave textures and shell elements are generated. Among them, the user selects Scheme A3 as the seed.

[0055] Derivation of the seed pattern: After decoupling the features of A3, a perturbation of ±0.2 is applied in the color dimension (for example, index [15:18]) to generate 5 gradient variants from light blue to dark blue; at the same time, the noise intensity is increased in the texture dimension (such as index

[22] ) to simulate the "watercolor smudging" effect, and finally a compliant set of derived patterns with SSIM = 0.89 is output.

[0056] Specifically, the method further includes: Recording the historical data of the browsing duration, download or print operations of each pattern in the set of derived patterns by the user; Dynamically adjusting the style perturbation amplitude during the generation of subsequent derived patterns according to the historical data to optimize the matching degree between the derived patterns and the user's preferences.

[0057] Furthermore, according to the historical data of the browsing duration, download or print operations of each pattern in the set of derived patterns by the user, a personalized recommendation unit can be formed, which can further improve the dynamic personalized adaptation ability of the present invention, and thus improve user satisfaction.

[0058] It should be noted here that this embodiment provides an intelligent nail art pattern printing method. The user inputs a nail art pattern selection or generation instruction through the user interaction module. If the user inputs a nail art pattern selection instruction, the printing control module is used to control the nail printer to perform the printing operation on the nail art pattern selected by the user. If the user inputs a nail art pattern generation instruction, the AI pattern generation module is used to generate a nail art pattern, and the printing control module is used to control the nail printer to perform the printing operation on the generated nail art pattern. The present invention provides a personalized and highly interactive nail art experience for users. Moreover, through the AI pattern generation function, the creativity and diversity of nail art patterns are further expanded. Through this system, users can easily perform nail art at home or anywhere without the help of professional nail artists, which greatly improves the practicability and convenience of the present invention.

[0059] It should be noted that the terms "first", "second", etc. in the specification, claims and the above-mentioned drawings of the present application are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments of the present application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0060] The technical features described above can be combined arbitrarily. Although not all possible combinations of these technical features are described, any combination of these technical features should be considered to be covered by this specification as long as such a combination does not exist in contradiction.

[0061] The specific embodiments of the present invention described above do not constitute a limitation on the protection scope of the present invention. Any other corresponding changes and deformations made according to the technical concept of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. An intelligent nail art pattern printing system, comprising a nail art printer, characterized in that, The system further includes: A pattern storage module for constructing a nail art pattern database and storing nail art pattern data; A user interaction module integrated into a mobile terminal application for receiving nail art pattern selection or generation instructions input by a user; An AI pattern generation module for generating a nail art pattern according to the nail art pattern generation instruction input by the user; A printing control module communicatively connected to a nail art printer for converting the nail art pattern data selected by the user into a printing instruction and controlling the printing execution.

2. The intelligent nail art pattern printing system according to claim 1, wherein The system further includes a user design module communicatively connected to the pattern storage module. The user design module is used for receiving a nail art pattern designed by the user independently and uploading it to the pattern storage module for storage.

3. The intelligent nail art pattern printing system according to claim 1, characterized in that The types of the stored nail art pattern data include: Nail art patterns uploaded by designers, nail art patterns designed and uploaded by users independently, and nail art patterns generated by the AI pattern generation module.

4. The intelligent nail art pattern printing system according to claim 1, wherein The nail art pattern generation instruction includes a text description, a reference picture, or a modification request for an existing nail art pattern in the pattern storage module.

5. The intelligent nail art pattern printing system according to claim 1, characterized in that, The AI pattern generation module includes a derivative pattern generation module for generating derivative patterns of the nail art pattern selected by the user.

6. The intelligent nail art pattern printing system according to claim 1, characterized in that The nail art printer includes a print head, a pattern selection interface, and a nail positioning device.

7. An intelligent nail art pattern printing method, characterized in that, It includes: S100. Obtain the nail art pattern selection or generation instruction input by the user through the user interaction module; S200. If the user inputs a nail art pattern selection instruction, use the printing control module to control the nail art printer to perform a printing operation on the nail art pattern selected by the user; S300. If the user inputs a nail art pattern generation instruction, use the AI pattern generation module to generate a nail art pattern, and use the printing control module to control the nail art printer to perform a printing operation on the generated nail art pattern.

8. The intelligent nail art pattern printing method according to claim 7, wherein, The method for generating a nail art pattern by using the AI pattern generation module includes: Analyze the nail art pattern generation instruction through an AI model. If the nail art pattern generation instruction contains text or a picture, generate an initial candidate pattern set that matches the user's requirements; If the nail art pattern generation instruction is a selected existing nail art pattern, use the existing nail art pattern as a seed pattern to generate a series of derivative pattern sets through feature decoupling and style perturbation.

9. The intelligent nail art pattern printing method according to claim 8, wherein The method for using the existing nail art pattern as a seed pattern to generate a series of derivative pattern sets through feature decoupling and style perturbation includes: Perform feature space mapping on the seed pattern to extract its style feature vector and content feature vector; Apply perturbation to at least one dimension of the style feature vector to generate a perturbed new feature vector; Fuse and reconstruct the new feature vector and the content feature vector through a generator network to output derivative patterns with a visual similarity within a preset threshold range.

10. The intelligent nail art pattern printing method according to claim 8, wherein, The method further includes: Recording historical data of the browsing duration, download, or printing operations of each pattern in the derivative pattern set by the user; Dynamically adjusting the style perturbation amplitude during subsequent derivative pattern generation according to the historical data to optimize the matching degree between the derivative patterns and the user's preferences.

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