Material management interface optimization system and method
By analyzing the interactive data of the material management system, using the neural network model to generate personalized interface elements, solving the problems of monotonous and low efficiency of interface design in the traditional material management system, and achieving more efficient and more in line with user needs.
Patent Information
- Application Number
- CN202411177153.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-26
- Publication Date
- 2024-12-17
AI Technical Summary
The interface elements of the traditional material management system are monotonous, difficult to meet the personalized needs of users, and the adjustment efficiency and quality are difficult to ensure.
By obtaining the interactive data between the target object and the material management system, the interface optimization needs are determined, and the pre-trained neural network model is used to generate corresponding interface elements to meet the personalized needs of users.
It improves the optimization efficiency of interface elements and the satisfaction of personalized needs, and improves the efficiency and quality of interface design.
Smart Images

Figure CN119149029A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of interface element generation, and in particular to an optimization system and method for a material management interface. Background Art
[0002] With the rapid development of computer technology, users can achieve efficient management of materials within the enterprise through the material management system.
[0003] However, the elements of the interface in the traditional material management system are relatively monotonous, and the adjustment of the interface elements can only be designed by technical personnel according to pre-set requirements, which makes it difficult to ensure the efficiency and quality of the interface elements. Moreover, since the interface elements are designed in a unified manner, they cannot meet the personalized needs of users. Summary of the invention
[0004] The present invention provides a material management interface optimization system and method, which determines the corresponding interface optimization requirements according to the interaction data of the target object, and then optimizes the interface using the corresponding element generation model according to the optimization requirements to meet the user's personalized needs for interface elements.
[0005] According to one aspect of the present invention, a material management interface optimization system is provided, the system comprising: an optimization demand determination module, and a management interface optimization module; wherein:
[0006] An optimization requirement determination module, used to obtain interaction data between a target object and a material management system, and determine an interface optimization requirement corresponding to the target object according to the interaction data;
[0007] A management interface optimization module is used to determine a target element generation model according to the interface optimization requirements, and generate interface elements corresponding to the interface optimization requirements according to the target element generation model, wherein the element generation model is a pre-trained neural network model corresponding to the element type of the interface element.
[0008] According to another aspect of the present invention, a material management interface optimization method is provided, the method is applied to a material management interface optimization system, the system comprising: an optimization demand determination module, and a management interface optimization module; wherein the method comprises:
[0009] Acquire the interaction data between the target object and the material management system through the optimization requirement determination module, and determine the interface optimization requirement corresponding to the target object according to the interaction data;
[0010] The management interface optimization module determines a target element generation model according to the interface optimization requirements, and generates an interface element corresponding to the interface optimization requirements according to the target element generation model, wherein the element generation model is a pre-trained neural network model corresponding to the element type of the interface element.
[0011] The technical solution of the embodiment of the present invention obtains the interaction data between the target object and the material management system through the optimization demand determination module, and determines the interface optimization demand corresponding to the target object according to the interaction data, and then the management interface optimization module determines the target element generation model according to the interface optimization demand, and generates the interface element corresponding to the interface optimization demand according to the target element generation model, and the element generation model is a pre-trained neural network model corresponding to the element type of the interface element. Based on the above technical solution, the specific optimization demand is determined by analyzing the interaction data of the target object, and the corresponding element generation model is determined according to the optimization demand, and the interface element is determined according to the element generation model, thereby improving the optimization efficiency of the interface element, and can meet the personalized needs of users for the interface elements.
[0012] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0014] Figure 1 is a structural diagram of an optimization system for a material management interface provided according to an embodiment of the present invention;
[0015] Figure 2 It is a flowchart of a material management interface optimization method provided according to an embodiment of the present invention. DETAILED DESCRIPTION
[0016] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.
[0017] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0018] It should be noted that the technical solutions provided in this application comply with national laws and regulations regarding data acquisition, storage, use, and processing.
[0019] Embodiment 1
[0020] Figure 1 This is a structural diagram of an optimization system for a material management interface provided by an embodiment of the present invention. Figure 1 As shown, the system includes: an optimization demand determination module and a management interface optimization module; wherein,
[0021] An optimization requirement determination module, used to obtain interaction data between a target object and a material management system, and determine an interface optimization requirement corresponding to the target object according to the interaction data;
[0022] A management interface optimization module is used to determine a target element generation model according to the interface optimization requirements, and generate interface elements corresponding to the interface optimization requirements according to the target element generation model.
[0023] Among them, the element generation model is a pre-trained neural network model corresponding to the element type of the interface element. The target object can be understood as a user who uses the material management system to manage materials, for example, it can be a staff member responsible for material management. The material management system can be a comprehensive application system for managing and monitoring the flow and inventory of materials within an organization. By integrating information technology and Internet of Things technology, it can track and manage the procurement, warehousing, outbound, inventory and usage of materials. The interactive data can be understood as the data generated when the target object interacts with the material management system, for example, it can be the data generated when the user uses the management interface of the material management system to manage materials. The interface optimization requirements can be the optimization goals of the material management interface corresponding to the target object, such as the user's preferences for the interface. The target element generation model can be understood as a generative model corresponding to the user's optimization requirements. The interface elements can be the basic components of the material management interface, which can be in the form of graphics, text or controls.
[0024] Specifically, when the target object needs to optimize the material management interface, the interaction data between the target object and the material management system can be obtained. For example, the operation log corresponding to the target object can be queried from the database, and the interaction data between the target user and the material system can be determined based on the operation log. The interaction data is then analyzed to determine the interface optimization requirements. For example, the specific operations performed by the user, such as querying inventory, adding materials, deleting records, etc., can be determined through the operation log, and the time when each operation occurs can be determined based on the timestamp information. The time pattern and frequency of the user's operations are analyzed, and the errors encountered by the user during use and the feedback generated by the system are obtained. The above-mentioned interaction data can be analyzed to determine the interface optimization requirements of the target object, and then a suitable target element generation model can be selected according to the interface optimization requirements, and interface elements corresponding to the interface optimization requirements are generated according to the target element generation model.
[0025] Based on the above technical solution, the optimization requirement determination module includes a data analysis unit and a requirement determination unit; wherein the data analysis unit is used to obtain the material management interface interaction data corresponding to the target object through the material management system, and determine the object model corresponding to the target object based on the material management interface interaction data; the requirement determination unit is used to determine the interaction characteristics corresponding to the target object based on the object model, and determine the interface optimization requirements based on the interaction characteristics.
[0026] The material management interface interaction data may be the interaction data between the target object and the material management interface provided by the material management system. The object model may be a model for analyzing the interface optimization requirements of the target object. The interaction feature may be understood as the feature information generated when the target object interacts with the material management system, such as the common functions of the target object or the interaction duration of the target object.
[0027] Specifically, the data analysis unit obtains the interactive data of the material management interface corresponding to the target object, and determines the object model corresponding to the target object according to the interactive data of the material management interface, and then the demand determination unit determines the interactive features corresponding to the target object according to the object model, and determines the interface optimization requirements according to the interactive features. Exemplarily, by obtaining the log data of the material management system, the interactive data related to the target object is obtained, and the collected raw data is cleaned, sorted and standardized, and then the pre-processed data is analyzed to establish an object model corresponding to the target object, for example, the target object's operating habits, usage preferences, and interactive models are determined through the interactive data of the target object, and the corresponding business requirements are determined according to the position of the target object, and then the object model corresponding to the target object is established according to the above characteristics, and then the interactive features of the target object can be determined by the demand determination unit according to the object model, and the interface optimization requirements are determined according to the interactive features. It should be noted that in the material management system, the object model can be customized according to the specific needs of the system and the characteristics of the object. For example, the system can assign different permissions and functions according to the position or responsibilities of the object to meet the business needs of different objects. At the same time, the system can also optimize the interface design and functional layout by collecting and analyzing the interactive data and behavioral characteristics of the object to improve the object experience.
[0028] On the basis of the above technical solution, the data analysis unit includes: a data collection subunit and a model building subunit; wherein the data collection subunit is used by the material management system to obtain the system interaction log corresponding to the target object and determine the management function items of the material management system; the model building subunit is used to determine the interaction features corresponding to the target object according to the system interaction log, and establish a feature model corresponding to the target object according to the interaction features and the management function items.
[0029] Among them, the system interaction log can be understood as the interaction log generated when the target object manages materials through the material management interface, which can be used to record the operation information of the target object during the interaction, such as usage time, usage function, and operating system. The management function item can be understood as the function control provided by the material management system, such as the purchasing function, management function, and receiving function.
[0030] Specifically, by collecting the system interaction logs corresponding to the target object from the material management system, and then determining the user login, material query, order processing, inventory management and other interaction data corresponding to the target object according to the system interaction logs, and then determining the interaction features of the target object according to the system interaction logs, and establishing the association relationship between the interaction features and the management function items, and then forming the feature model corresponding to the target object. Exemplarily, all interaction logs related to the target object (such as users, departments or specific business scenarios) are extracted from the material management system, and then the collected logs are preprocessed to remove noise, outliers and duplicate data to ensure the accuracy and reliability of the data, and the interaction features corresponding to the target object are extracted from the processed data, such as operation time, operation type, operation object, operation result, etc., and then the extracted interaction features are statistically analyzed, such as calculating frequency, proportion, average value and other indicators, and finally analyzing the association relationship between the interaction features and the management function items, identifying that the interaction features are closely related to the use of the management function items, and finally establishing a feature model based on the information of the interaction features and the management function items. The feature model can be used to describe the interaction behavior characteristics of the target object and establish a clear association relationship with the management function items. It can be a statistical model between the interaction features and the function items established based on statistical data.
[0031] On the basis of the above technical solution, the management interface optimization module includes: a model selection unit, a data generation unit and a generated data evaluation unit; wherein the model selection unit is used to determine the element type corresponding to the target object according to the interface optimization requirements, and determine the element generation model according to the element type; the data generation unit is used to generate interface elements according to the element generation model and the interface optimization requirements; the generated data evaluation unit is used to generate an element preview interface corresponding to the interface element, and determine the element evaluation data of the interface element according to the element preview interface.
[0032] Among them, the element type can be understood as the element type that needs to be optimized according to the optimization requirements, such as text type and image type. The element preview interface can be understood as a preview interface corresponding to the material management interface generated based on the generated interface elements, and the element preview interface simulates the actual usage scenario to ensure that the interface elements can be consistent with the display mode and interaction method of the material management interface. The element evaluation data can be an evaluation score for evaluating the quality of the currently generated interface element.
[0033] Specifically, the model selection unit determines the element type to be optimized according to the interface optimization requirements and determines the corresponding element generation model. For example, it can be based on the element type, select or configure a suitable element generation model from a predefined model library, and can fine-tune the model to adapt to the specific scenario according to the habits, design specifications and system characteristics of the target object. The data generation unit receives the element generation model from the model selection unit, and generates specific interface elements according to the interface optimization requirements. It can read the parameters and rules of the element generation model, and generate interface elements that meet the requirements according to the interface optimization requirements, such as the size, color, layout and other attributes of the element, and in the process of generating elements, it needs to ensure that the generated interface elements are consistent with the existing The system interface style is kept consistent to improve the overall coordination and aesthetics. The generated interface elements are then integrated into a preview interface by the generated data evaluation unit based on the front-end technology (such as HTML, CSS, JavaScript) or design tools (such as Sketch, Figma), and the performance scores of the interface elements in terms of loading speed, response time, resource usage, etc. are evaluated through performance testing tools. User testing can also be used to collect feedback through observation, interviews or questionnaires. New interface elements can also be compared with old interface elements for testing, and the element evaluation data corresponding to the current interface elements can be determined by statistically analyzing user behavior data (such as click-through rate, dwell time, conversion rate, etc.).
[0034] On the basis of the above technical solution, the management interface optimization module also includes: an element adjustment unit and a model optimization unit; wherein the element adjustment unit is used to adjust the interface element according to the element evaluation data to obtain the target element when the element evaluation data does not meet the preset evaluation criteria; the model optimization unit is used to optimize the interface element generation model according to the interface element and the target element.
[0035] The preset evaluation criteria may be a preset evaluation score threshold, and it should be noted that different types of element evaluation scores may correspond to different evaluation score thresholds. The target element may be understood as an element that meets the preset evaluation criteria.
[0036] Specifically, the element adjustment unit analyzes the element evaluation data to determine the evaluation data that does not meet the preset evaluation criteria, such as the evaluation dimensions of ease of use, clarity, and attractiveness, and then formulates a specific adjustment strategy based on the analysis results. It can modify the properties of the interface elements, such as color saturation, adjust the spacing between elements, change the interaction logic of the elements, etc., and then make actual adjustments to the interface elements according to the adjustment strategy, such as sampling design tools (such as Sketch, Figma) or programming techniques (such as HTML / CSS / JavaScript) to adjust the elements. It should be noted that after the adjustment is completed, the element preview interface can be regenerated and new evaluation data can be collected to verify the adjustment effect. If the evaluation criteria are still not met, further adjustments may be required. Furthermore, after determining the target elements that meet the preset evaluation criteria, the interface element generation model can be optimized based on the target elements and the interface elements. For example, by analyzing the differences between the interface elements and the target elements, the key factors leading to performance improvement can be identified, such as updating the element design rules, identifying the target object preferences, etc., and then based on the analysis results, the interface element generation model can be optimized, for example, the parameters of the model can be adjusted, the algorithm of the model can be improved, for example, by extracting the feature information between the target elements and the interface elements, and calculating the loss function value based on the feature information, and adjusting the parameters of the interface element generation model according to the loss function value.
[0037] On the basis of the above technical solution, the management interface optimization module further includes: a feedback data acquisition unit; wherein the feedback data acquisition unit is used to acquire feedback information corresponding to the target element.
[0038] The feedback information may be feedback suggestions from the target object on the target element.
[0039] Specifically, after determining the target element, the target element can be displayed to the target object when the target object uses the material management interface, and a feedback information input interface corresponding to the target element can be displayed after the target object operation is completed, so as to obtain feedback information corresponding to the target element through the feedback information input interface. For example, the feedback information input interface may include a scoring value for the target element, such as an ease of use score, a clarity score, an attractiveness score, and other text feedback information.
[0040] On the basis of the above technical solution, the element adjustment unit is further used to adjust the target element according to the feedback information when the feedback information is preset information.
[0041] The preset information may be understood as a preset feedback information value, for example, it is detected that the evaluation score input by the target object is lower than the preset score value, or the target object submits a modification suggestion corresponding to the target element through text information.
[0042] Specifically, when the element adjustment unit receives feedback information, it determines whether the feedback information meets the preset conditions. When the evaluation score is lower than the preset score value or contains specific modification suggestions, the element adjustment unit will adjust the target element according to the feedback information to improve its performance or meet user needs. For example, if the evaluation score is lower than 6 points (out of 10 points), it is considered to be unsatisfactory feedback, and the target element is adjusted according to the feedback information. The target element can be adjusted by the designer according to the evaluation score. If the feedback information contains specific modification suggestions, the designer can adjust the target element according to the feedback suggestions.
[0043] Based on the above technical solution, the system also includes: a data acquisition module and a model determination module; wherein the data acquisition module is used to collect historical interface interaction data corresponding to the material management system; the model determination module is used to determine the element generation model corresponding to the element type of the interface element according to the historical interface interaction data.
[0044] The interface element types include text type and image type. The historical interface interaction data may be historical data generated by the material management system during historical use.
[0045] Specifically, the data collection module is responsible for collecting historical interface interaction data corresponding to the material management system. The historical interface interaction data may include various information such as the frequency of user access to the interface, dwell time, click behavior, scrolling depth, form filling status, etc., and then the model determination module determines the element generation model corresponding to the interface element type (such as text type and image type) based on the historical interface interaction data provided by the data collection module. Exemplarily, the collected historical interface interaction data is deeply analyzed to identify the relationship between different interface element types (text, image, etc.) and user behavior, and then based on the data analysis results, a generation model suitable for different interface element types is constructed. It should be noted that when the element type is a text type, the model structure of the element generation model corresponding to the element type is a recurrent neural network or a long short-term memory network; when the interface element generation model corresponds to an image type, the model structure of the interface element generation model includes at least one of a generative adversarial network, a variational autoencoder, and a diffusion network.
[0046] The technical solution of the embodiment of the present invention obtains the interaction data between the target object and the material management system through the optimization demand determination module, and determines the interface optimization demand corresponding to the target object according to the interaction data, and then the management interface optimization module determines the target element generation model according to the interface optimization demand, and generates the interface element corresponding to the interface optimization demand according to the target element generation model, and the element generation model is a pre-trained neural network model corresponding to the element type of the interface element. Based on the above technical solution, the specific optimization demand is determined by analyzing the interaction data of the target object, and the corresponding element generation model is determined according to the optimization demand, and the interface element is determined according to the element generation model, thereby improving the optimization efficiency of the interface element, and can meet the personalized needs of users for the interface elements.
[0047] Embodiment 2
[0048] Figure 2 A flow chart of a material management interface optimization method provided in an embodiment of the present invention. This embodiment can be applied to determine the corresponding target interface element generation model according to the interaction data of the target object, and optimize the interface according to the target interface element generation model. The method can be executed by the material management interface optimization system, and the material management interface optimization system can be implemented in the form of hardware or software. Specifically, the system includes: an optimization demand determination module, and a management interface optimization module; wherein the material management interface optimization method includes:
[0049] S110, acquiring interaction data between a target object and a material management system through an optimization requirement determination module, and determining an interface optimization requirement corresponding to the target object according to the interaction data;
[0050] S120. The management interface optimization module determines a target element generation model according to the interface optimization requirement, and generates an interface element corresponding to the interface optimization requirement according to the target element generation model, wherein the element generation model is a pre-trained neural network model corresponding to the element type of the interface element.
[0051] On the basis of the above technical solution, the optimization requirement determination module includes a data analysis unit and a requirement determination unit; the method includes: the data analysis unit obtains the material management interface interaction data corresponding to the target object through the material management system, and determines the object model corresponding to the target object according to the material management interface interaction data; the requirement determination unit determines the interaction features corresponding to the target object according to the object model, and determines the interface optimization requirements according to the interaction features.
[0052] On the basis of the above technical solution, the data analysis unit includes: a data collection subunit and a model building subunit; the method includes: the data collection subunit obtains the system interaction log corresponding to the target object through the material management system, and determines the management function items of the material management system; the model building subunit determines the interaction features corresponding to the target object according to the system interaction log, and establishes a feature model corresponding to the target object according to the interaction features and the management function items.
[0053] On the basis of the above technical solution, the management interface optimization module includes: a model selection unit, a data generation unit and a generated data evaluation unit; the method includes: the model selection unit determines the element type corresponding to the target object according to the interface optimization requirements, and determines the element generation model according to the element type; the data generation unit generates an interface element according to the element generation model and the interface optimization requirements; through the generated data evaluation unit, it is used to generate an element preview interface corresponding to the interface element, and determine the element evaluation data of the interface element according to the element preview interface.
[0054] On the basis of the above technical solution, the management interface optimization module also includes: an element adjustment unit and a model optimization unit; the method includes: when the element evaluation data does not meet the preset evaluation criteria, the element adjustment unit adjusts the interface element according to the element evaluation data to obtain the target element; the model optimization unit optimizes the interface element generation model according to the interface element and the target element.
[0055] On the basis of the above technical solution, the management interface optimization module further includes: a feedback data acquisition unit; the method includes: acquiring feedback information corresponding to the target element through the feedback data acquisition unit.
[0056] On the basis of the above technical solution, the element adjustment unit adjusts the target element according to the feedback information when the feedback information is preset information.
[0057] On the basis of the above technical solution, the system also includes: a data acquisition module and a model determination module; the method includes: collecting interface history interaction data corresponding to the material management system through the data acquisition module; the model determination module determines the element generation model corresponding to the element type of the interface element according to the interface history interaction data; wherein the interface element type includes text type and image type.
[0058] On the basis of the above technical solution, when the element type is a text type, the model structure of the element generation model corresponding to the element type is a recurrent neural network or a long short-term memory network; when the interface element generation model corresponds to an image type, the model structure of the interface element generation model includes at least one of a generative adversarial network, a variational autoencoder and a diffusion network.
[0059] The technical solution of the embodiment of the present invention obtains the interaction data between the target object and the material management system through the optimization demand determination module, and determines the interface optimization demand corresponding to the target object according to the interaction data, and then the management interface optimization module determines the target element generation model according to the interface optimization demand, and generates the interface element corresponding to the interface optimization demand according to the target element generation model, and the element generation model is a pre-trained neural network model corresponding to the element type of the interface element. Based on the above technical solution, the specific optimization demand is determined by analyzing the interaction data of the target object, and the corresponding element generation model is determined according to the optimization demand, and the interface element is determined according to the element generation model, thereby improving the optimization efficiency of the interface element, and can meet the personalized needs of users for the interface elements.
[0060] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.
[0061] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims
1. A material management interface optimization system, characterized in that: The system includes: an optimization requirement determination module and a management interface optimization module; wherein, An optimization requirement determination module, used to obtain interaction data between a target object and a material management system, and determine an interface optimization requirement corresponding to the target object according to the interaction data; A management interface optimization module is used to determine a target element generation model according to the interface optimization requirements, and generate interface elements corresponding to the interface optimization requirements according to the target element generation model, wherein the element generation model is a pre-trained neural network model corresponding to the element type of the interface element.
2. The system according to claim 1, characterized in that The optimization demand determination module includes a data analysis unit and a demand determination unit; wherein, The data analysis unit is used to obtain material management interface interaction data corresponding to the target object through the material management system, and determine the object model corresponding to the target object according to the material management interface interaction data; The requirement determination unit is used to determine the interaction features corresponding to the target object according to the object model, and determine the interface optimization requirements according to the interaction features.
3. The system according to claim 2, characterized in that The data analysis unit includes: a data collection subunit and a model building subunit; wherein, The data collection subunit is used for the material management system to obtain the system interaction log corresponding to the target object and determine the management function items of the material management system; The model building subunit is used to determine the interaction features corresponding to the target object according to the system interaction log, and to build a feature model corresponding to the target object according to the interaction features and the management function items.
4. The system according to claim 1, characterized in that The management interface optimization module includes: a model selection unit, a data generation unit and a generated data evaluation unit; wherein, The model selection unit is used to determine the element type corresponding to the target object according to the interface optimization requirement, and determine the element generation model according to the element type; The data generation unit is used to generate interface elements according to the element generation model and the interface optimization requirements; The data evaluation generating unit is used to generate an element preview interface corresponding to the interface element, and determine the element evaluation data of the interface element according to the element preview interface.
5. The system according to claim 4, characterized in that The management interface optimization module further includes: an element adjustment unit and a model optimization unit; wherein, The element adjustment unit is used to adjust the interface element according to the element evaluation data to obtain a target element when the element evaluation data does not meet a preset evaluation standard; The model optimization unit is used to optimize the interface element generation model according to the interface element and the target element.
6. The system according to claim 5, characterized in that The management interface optimization module further includes: a feedback data acquisition unit; wherein, The feedback data acquisition unit is used to acquire feedback information corresponding to the target element.
7. The system according to claim 6 is characterized in that The element adjustment unit is further configured to adjust the target element according to the feedback information when the feedback information is preset information.
8. The system according to claim 1, characterized in that The system also includes: a data acquisition module and a model determination module; wherein, The data collection module is used to collect the interface history interface interaction data corresponding to the material management system; The model determination module is used to determine an element generation model corresponding to an element type of an interface element according to the interface history interaction data; wherein the interface element type includes a text type and an image type.
9. The system according to claim 8, characterized in that When the element type is a text type, the model structure of the element generation model corresponding to the element type is a recurrent neural network or a long short-term memory network; when the interface element generation model corresponds to an image type, the model structure of the interface element generation model includes at least one of a generative adversarial network, a variational autoencoder, and a diffusion network.
10. A material management interface optimization method, characterized in that: The method is applied to an optimization system of a material management interface, the system comprising: an optimization demand determination module and a management interface optimization module; wherein the method comprises: Acquire the interaction data between the target object and the material management system through the optimization requirement determination module, and determine the interface optimization requirement corresponding to the target object according to the interaction data; The management interface optimization module determines a target element generation model according to the interface optimization requirements, and generates an interface element corresponding to the interface optimization requirements according to the target element generation model, wherein the element generation model is a pre-trained neural network model corresponding to the element type of the interface element.
Citation Information
Cited By
RPA code generation method, device and system and storage medium
CN121050763A
RPA code generation method, device, system and storage medium
CN121050763B
