2665results about "Website content management" patented technology

Providing generative artificial intelligence (AI)-enabled notebook interfaces for a security framework, including: receiving a request to generate a notebook interface for a security framework monitoring a cloud deployment; generating, in response to the request, the notebook interface, wherein the notebook interface comprises one or more notebook cells for interacting with the security framework, wherein the one or more notebook cells comprise a natural language input cell for querying a generative artificial intelligence (AI) model; and presenting the notebook interface.

The invention provides a data analysis mapping method and system based on context awareness, and the method comprises the steps: carrying out the directional crawling of a target website through a crawler instance, so as to obtain multi-format webpage source data, then extracting the structural features, semantic features and source features of the multi-format webpage source data, and constructing a source data context feature set; dynamically matching an adaptive analysis strategy based on the source data context feature set to accurately extract target field data, performing semantic similarity matching on the target field data and a preset service scene standard field library, and performing data format unified conversion in combination with a context format rule to obtain standardized field data; and finally, performing multi-dimensional verification on the standardized field data, and generating an SQL statement after the verification is passed, so as to solve the problems that an existing data analysis mapping scheme depends on a fixed template and cannot dynamically adapt to page structure change of a target website, manual auxiliary field mapping consumes time, and errors are easy to introduce.

The invention discloses a webpage 3D rendering and control method, which comprises the following steps: step 1, asynchronous resource loading and scene initialization: carrying out network-aware asynchronous resource loading by adopting an intelligent prediction driven block loading technology, optimizing memory occupation through a self-adaptive space block and LRU cache strategy, and carrying out scene initialization; meanwhile, constructing a hierarchical scene tree to manage object transformation and a bounding box; and step 2, dynamic rendering pipeline execution: deploying a hierarchical visual degradation engine, dynamically switching multiple effects of soft shadow / PCF hard shadow, SSR precision and I BL sampling based on a five-level frame rate threshold, combining a PBR material adaptive rendering and motion perception LOD system, performing seamless detail level switching through normal reservation simplification, GPU-driven Morph transition and an asynchronous pre-calculation assembly line, and performing dynamic rendering on a dynamic rendering pipeline. The rendering optimization coordinator integrates the multi-dimensional parameters to generate a degradation instruction, and visual consistency is maintained; and step 3, user interaction and control feedback.

The invention discloses a multi-scene multiplexing-oriented VUE dynamic component interface configuration and rendering method, which comprises the following steps of: receiving a multi-scene configuration file, and extracting and coding to generate a scene feature vector; component layout parameters, resource priorities and rendering strategies are automatically generated through the two-stage generative adversarial network, and application parameters are output after the generated parameters are optimized; on the basis of application parameters, asynchronous component loading and priority queue scheduling are adopted, and on-demand loading of components is achieved in combination with dependency topology sorting; dynamically dividing a rendering area by using an adaptive Gaussian algorithm, and rejecting invalid rendering through a boundary box mechanism; the DOM operation frequency is reduced by adopting an optimization Diff algorithm; and constructing a component cache pool through an elimination strategy. According to the method, intelligent configuration and efficient rendering of the interface component under multiple scenes are realized, the development efficiency is improved, and the performance is optimized.

The invention discloses a home page multi-component parallel prefetching and rendering first screen acceleration method and device and a storage medium, and the method comprises the following steps: constructing a global dependency relationship model based on the metadata and dependency relationship of each component of a home page, and calculating the priority for each component according to a predefined priority evaluation strategy, generating a component scheduling sequence constrained by the priority and the dependency relationship; controlling a concurrency control strategy of the component; preferentially rendering a visual placeholder structure, and smoothly replacing the real content to a user visible area through a progressive rendering replacement strategy; when the variable quantity of the component data exceeds a preset threshold value, triggering an increment updating strategy based on the difference content; generating a cache identifier according to component granularity, reading and writing data in a multi-level cache structure based on the cache identifier, and ensuring data consistency by adopting a background asynchronous verification strategy; and collecting performance indexes in a page rendering process, and adjusting the priority evaluation strategy, the concurrency control strategy and the increment updating strategy according to the performance indexes.

The invention discloses a front-end performance optimization method and system based on dynamic resource loading and rendering optimization, belongs to the technical field of webpage front-end development, and aims to solve the technical problems that an on-demand loading scheme lacks dynamic strategy adaptation, is not deeply combined with a rendering process and cannot be dynamically optimized according to a real-time environment. Comprising the steps of predicting page blocks or resource types possibly accessed by a user through a behavior prediction model on the basis of user behavior data, and dynamically calculating a loading weight of each resource on the basis of the resource types, the distance between the resources and a viewport, the user behavior data and a user behavior prediction result; based on the network state and the equipment memory capacity, according to a preset resource loading strategy, setting a loading mode and a priority of resources; splitting a long list or a component in the page block into a plurality of independent frame rendering tasks, and processing the frame rendering tasks in batches in an idle period of the browser; and pre-defined performance indexes are monitored and recorded in real time.

The invention discloses an AI-based browser user behavior recording intelligent workflow method and system, and relates to the technical field of workflow management.The method comprises the steps that interaction behaviors are recorded in a browser, and normalized event data are generated; the input recording cooperative agent performs user task intention analysis and abstracts the user task intention into a structured workflow; inputting a recording test agent for verification, and adjusting the structured workflow to obtain a verified target workflow; the browser is driven to automatically execute and monitor the execution state, a self-repairing strategy is triggered for adjustment when the execution state is abnormal, and the target workflow is updated when self-repairing succeeds. Through the technical scheme of the invention, standardized modeling and precipitation of the browser event flow are realized, the workload of establishing an automatic process is reduced, the use threshold of establishing the browser automatic process is reduced, the execution success rate and stability of the target workflow are improved, and the user experience is improved. And the robustness and the long-term maintainability of the automatic process are effectively improved.

The invention discloses a personalized push and intelligent distribution system and method. The system comprises a data acquisition module, a content module, an intelligent decision module, a distribution execution module and a monitoring optimization module. Wherein the data acquisition module sends a feature vector to the intelligent decision-making module; the content module sends content metadata and an A / B experiment label to the intelligent decision-making module; the intelligent decision-making module sends the recommendation content, the distribution strategy and the A / B experiment label to a distribution execution module; the distribution execution module displays the received data to the user, collects feedback information of the user, and sends the feedback information of the user to the monitoring optimization module; and the monitoring optimization module analyzes feedback information of the user and sends an analysis result to the intelligent decision-making module, so that circulation is formed until the user completes the task of the round. According to the method, accurate distribution and personalized pushing are realized through multi-dimensional attribute and fine granularity decomposition.

The invention relates to the technical field of artificial intelligence testing, discloses a method for automatically extracting UI elements of a Web page based on an AI large model, realizes automatic extraction of positioning information of the UI elements of the Web page of an embedded product, directly provides the positioning information to a Web testing framework for use, and solves the problems of low UI element extraction efficiency and insufficient adaptability in a traditional scheme. Playwright is used for obtaining page screenshots and HTML DOM information, after intelligent cleaning, the page screenshots and the HTML DOM information are transmitted to an AI model to analyze page structures, interactive elements such as buttons and input boxes are automatically recognized, and an optimal selector is generated; furthermore, page navigation and multi-page element collection are realized by combining an AI-driven automatic tool, and finally, an operation sequence is organized through a GUI (Graphical User Interface), so that automatic testing is quickly completed. According to the method, the problems of low efficiency and poor adaptability of a traditional method are solved, the accuracy and maintenance efficiency of Web testing are remarkably improved, and the method is suitable for dynamic and complex modern Web pages.

The invention provides an automatic SEO setting system and method in a station building CMS, and belongs to the technical field of station building CMS. According to the method, the AI technology is utilized, the keywords are deeply mined and screened, the keywords with high conversion potential and the long tail keywords are accurately recognized, the real demands of users are insighted, the competition situation of the keywords is intelligently evaluated, and the popularity change is predicted. In the aspect of content creation, a content outline, a first draft and a specific paragraph can be generated according to a target keyword and a user portrait, optimization suggestions can be provided in the aspects of readability, keyword layout and the like, and content personalized recommendation is achieved. Compared with a traditional SEO technology, the method has the advantages that the keyword screening efficiency and the long tail keyword coverage rate are improved, the matching degree of content and user requirements is optimized, ranking and flow of websites in a search engine are improved, and the method is efficient and accurate.

The invention relates to a product recommendation optimization method based on user portrait dynamic updating, which comprises the following steps: acquiring user behavior sequence data, and analyzing based on behavior consistency indexes including time interval, intention change rate and interest inversion degree; when it is detected that the behavior path has a fault, frequent switching or reverse direction, revoking the update of the path to the user portrait and marking the path as a low credible behavior segment; before user portrait updating is triggered, the portrait mutation risk is judged according to the feature distribution difference between the current behavior and the historical portrait, the behavior uniqueness and the conversion closed loop condition, and when mutation is found, portrait updating is frozen and recorded to a to-be-verified sequence; based on self-consistent state recognition of a historical behavior track, local increment updating is carried out on a staged portrait dimension consistent with a current behavior; and before the recommendation result is generated, performing consistency evaluation on the recommendation target and the user portrait intention, if the alignment degree is lower than a preset threshold value, adjusting or reconstructing the recommendation content, and correcting the deviation label according to continuous negative feedback.

The invention provides a webpage analysis code generation method, device and equipment based on a large language model, and relates to the technical field of natural language processing, webpage analysis and the like. The method comprises the following steps: determining a key information field according to a demand text of a webpage analysis task through a first large language model, and filling the key information field into a structured analysis prompt template to obtain an analysis prompt text; the key information field comprises at least one of the following items: a domain name of a target website, a target webpage type, a target webpage structure and a target data field; and through a second large language model, generating an analysis code of the webpage analysis task according to the analysis prompt text.

The invention discloses a traffic information sharing method and device for vehicle and road cloud integration, and a medium. The method comprises the following steps: constructing a vehicle social network graph; analyzing a natural language subscription request of a user, and generating a structured decision element; a data and knowledge dual-driven collaborative decision framework is adopted to carry out multi-attribute decision, and optimal working group configuration is generated; the sensing demand parameters are encrypted and issued to all nodes in the optimal working group, sensing fusion of multi-node space-time association is achieved, and multi-source sensing data are obtained; performing standardized packaging and credibility evaluation on the acquired multi-source sensing data, and filtering untrusted data to obtain trusted data; cleaning the credible data, and performing hierarchical desensitization on sensitive information in the credible data to obtain traffic information; and pushing the traffic information to the subscribing user, and constructing an intelligent closed-loop optimization system based on user feedback to optimize the traffic information sharing service. According to the invention, the dynamic cooperative sensing capability in traffic information service can be improved.

The invention discloses a webpage optimization method and device. The method comprises the steps that a tree structure of a document object model (DOM) tree of a target webpage and a selector rule of a cascading style sheet (CSS) selector are determined, and the target webpage is a webpage needing to be developed; encoding the analysis result of the tree structure and the selector rule to a quantum bit state to perform quantum parallel matching processing to obtain a quantum parallel matching result; dynamically adjusting the weight of the CSS selector according to the quantum parallel matching result, and determining the style application sequence of the CSS selector according to the weight; and applying the style application sequence to DOM elements of the DOM tree to perform performance optimization on the target webpage. According to the method and the device, the technical problem that the page loading speed and the visual continuity are easily affected due to the fact that a traditional CSS engine has great limitation in the aspects of large-scale dynamic page real-time rendering and efficient processing of complex CSS selector specificity conflicts in the prior art is solved.

A system including a media data optimization engine (MDOE) and a method for automatically creating structured data objects for media content rendered in one or more languages in an electronic document of a business entity are provided. The MDOE identifies non-textual objects including media content rendered in one or more languages in the electronic document and generates textual objects in the corresponding language(s) therefrom. The MDOE transforms the textual objects into structured data objects based on configurable criteria and generates a dynamic index-oriented object for the structured data objects specific to the business entity. The MDOE connects the structured data objects to the dynamic index-oriented object by creating linked data nodes therefrom with the dynamic index-oriented object as a core. The MDOE connects the dynamic index-oriented object with the linked data nodes to the electronic document, thereby facilitating dynamic changes to the electronic document and dynamically optimizing the electronic document.

The invention relates to the technical field of fire fighting, in particular to a fire fighting safety technical-connection early warning and task trajectory tracking system, which comprises a safety technical-connection early warning subsystem and a task trajectory tracking subsystem, and is characterized in that the safety technical-connection early warning subsystem and the task trajectory tracking subsystem realize bidirectional linkage through a data middle table; through bidirectional linkage of the safety technical linkage early warning subsystem and the task trajectory tracking subsystem, an intelligent cooperative closed loop of early warning and rescue is constructed, millisecond-level data interaction between the multi-mode monitoring unit and the multi-mode tracking unit is achieved through the data middle platform, and when the early warning system recognizes fire point coordinates and a three-level risk level, the safety technical linkage early warning subsystem and the task trajectory tracking subsystem are combined to achieve early warning and rescue. An optimal internal attack path can be pushed to a trajectory tracking system in real time; on the contrary, when the vital signs of the rescuers are abnormal, emergency equipment such as a smoke exhaust fan can be reversely triggered to be started, and a full-link response mechanism of risk pre-judgment, path planning and dynamic intervention is formed.

The invention relates to a user portrait recognition method and a website recommendation method based on semantic analysis, and the user portrait recognition method comprises the steps: dividing a website which is browsed by a current user in a first preset time period and relates to the same category into a plurality of sub-categories, and taking each sub-category as a point of a portrait; and for each sub-category, determining the sub-category as a current sub-category, determining other sub-categories as adjacent sub-categories, constructing edges, pointing to all the adjacent sub-categories, of the current sub-category, and taking a correlation coefficient, pointing to the adjacent sub-categories, of the current sub-category as a weight of the edges to form a user portrait. Consumption habits of consumers and relevance among different commodities are fully considered, on the basis, recommendation weights of websites are corrected layer by layer through browsing information and consumption information of current users in combination with browsing information and consumption information of group users, personalized and high-accuracy website recommendation schemes are provided for the users, and user experience is improved. And the user experience is improved.

The invention provides a page generation method, and relates to the technical field of computer software, in particular to the technical field of automatic page generation and artificial intelligence of a low-code platform. According to the specific implementation scheme, a page generation demand input by a user is analyzed, and page features are obtained; converting the page features into structured page data in an object representation format through a large model; and determining a corresponding target component based on the structured page data in the object representation format, and generating a target page according to the target component. The page generation efficiency and accuracy can be improved, and dependence on professional developers is reduced.

The invention discloses a data filling automation system and method based on a large model, and relates to the field of electric digital data processing, and the method specifically comprises the steps: monitoring and collecting the input behaviors of a user in different platform forms in real time, constructing a semantic state vector, and carrying out the aggregation to form a semantic global vector; constructing a structural disturbance tensor model, modeling the stable position of each field, and obtaining a stable state representation vector of each target field under disturbance through a tensor projection mode; and constructing a path cost function according to a matching relationship between the semantic global vector and a structure mapping result, solving an optimal execution path for field filling and reporting, and driving a browser to perform automatic filling and reporting according to a path sequence, thereby realizing automatic operation of data filling and reporting under semantic reasoning and structure disturbance. Automatic and intelligent cross-platform data filling and reporting are achieved, filling and reporting efficiency is effectively improved, platform independence, semantic adaptability and structure fault-tolerant ability are achieved, and data consistency and stability of the filling and reporting process are ensured.

The invention discloses an optimization method, system and device for an audio production test system and a storage medium, and relates to the technical field of audio, and the method comprises the steps: building a multi-level code scanning data return stabilization mechanism, and guaranteeing the uploading reliability of code scanning data in a production test process through a local buffer queue, network state real-time evaluation and an intelligent retry strategy; constructing a multi-version application processor AP compiling adaptation framework, and automatically loading corresponding function libraries and compiling parameters through version automatic identification, compatibility index evaluation and dynamic link library management; a cross-platform compatible work order query interface is constructed, the work order query interface is dynamically rendered through a self-adaptive layout algorithm, a compiling adaptation frame suitable for different AP versions is adopted, dynamic link library management and automatic compiling parameter configuration are combined, the universality and expansibility of a tool are greatly improved, meanwhile, a cross-platform interface self-adaptive rendering technology is adopted, and the working efficiency is improved. Therefore, the work order query tool can provide consistent user experience under multiple operating systems.

The invention provides a website identification method and device, electronic equipment and a storage medium, relates to the technical field of computers, and can solve the problem of low identification accuracy. The method comprises the following steps: obtaining text information, image information and metadata information of a target website, processing the text information, the image information and the metadata information of the target website through a pre-trained model to obtain first probability distribution, second probability distribution and website risk probability, and obtaining the risk probability of the target website through a meta-learner. And obtaining the website type of the target website. According to the method and the device, the website type of the target website can be obtained in combination with the information of multiple modalities, the problem of misjudgment caused by incomplete modalities is reduced, the accuracy and the credibility of website type identification are enhanced, and the robustness and the generalization ability of website type identification can be improved.

A system for a visual design system (VDS) includes storing at least one layout and an associated layout signature where the associated layout signature represents a hierarchical composition of the semantic types of the components; a unit to analyze components of an existing layout provided by a user of the VDS, to determine a component set signature, to compare it with at least one stored associated layout signature and to find a set of candidate layouts which are visually diverse and semantically similar to the existing layout; where the unit presents the set of candidate layouts to the user, updates the existing layout according to a user selected layout. It also includes an experiment system to create, run and analyze the results of at least one experiment using at least one of: A / B and multivariate testing on user selected layouts to provide information on user preferred layouts for the VDS.

The invention relates to the technical field of computer networks, in particular to a webpage project construction and access control method, which comprises the following steps: acquiring a Web project source code file, packaging the Web project source code file, configuring a root directory to correspond to the action of a rendering page, and generating a packaged resource file; uploading the packaged resource file to a code warehouse for code hosting, triggering an assembly line execution process, and storing the packaged resource file in a workpiece generated in the assembly line execution process; receiving an access request of a user, and determining item positioning information through a unique identifier in the access request; verifying the user access authority; if the user permission state indicates that the user permission verification is passed, requesting a corresponding resource file from a workpiece, and generating rendering page information containing API basic address information; and sending the rendering page information to a browser for page rendering.

The invention relates to the field of data analysis and cleaning, in particular to a method and system for automatically collecting and cleaning public opinion experimental data. The method comprises the following steps of performing periodic data crawling on a public information website, performing public opinion hotspot analysis, and extracting a to-be-processed hotspot event stream; performing keyword detection and global content distribution analysis on the to-be-processed hot event stream to obtain a keyword frequency distribution diagram; performing negative emotion deep recognition according to the to-be-processed hot event stream, and extracting negative emotion public opinion data; performing negative public opinion evolution trend prediction based on the keyword frequency distribution diagram to obtain a negative public opinion propagation situation; and performing IP address tracing on the negative emotion public opinion data to obtain the negative public opinion region sensitivity. According to the method, comprehensive and accurate abnormal public opinion detection and deletion are realized, and the network information quality and the public governance level are improved.

The invention relates to the technical field of quality management, in particular to a lightning protection detection management method and system, electronic equipment and a storage medium. The method comprises the following steps: responding to a new detection operation through an applet in a mobile terminal used by a lightning protection detector, and displaying a project information filling interface; according to template information selected based on the project information filling interface, displaying a corresponding template filling interface; filling detection data obtained in the lightning protection detection process according to filling operation based on the template filling interface; uploading the detection data; and generating a lightning protection detection report according to the detection data through indication of a webpage browser of the terminal, and auditing, signing and issuing the lightning protection detection report. According to the method, the lightning protection detection management efficiency is improved. The invention also discloses a lightning protection detection management system, electronic equipment and a storage medium.

The invention provides a document adaptive conversion method and device based on a multi-modal large model and a medium, and belongs to the technical field of data processing. The method comprises the following steps: inputting a multi-modal document into a pre-constructed multi-modal large model, wherein the multi-modal large model comprises a multi-modal joint framework fusing a ViT visual model and an LLM model; using a ViT visual model and an LLM model to respectively extract multi-scale visual features corresponding to non-text content and semantic features corresponding to text content, and using a cross-modal attention mechanism to bidirectionally align the multi-scale visual features and the semantic features to obtain a multi-modal document; carrying out self-adaptive blocking on the multi-modal document by using a self-adaptive blocking strategy, and modeling a relative position relationship between blocks; establishing a dynamic mapping rule from a document element to an HTML tag, and mapping the multi-modal document into a front-end interaction component in combination with a natural language instruction of a user; and dynamically rendering the front-end interaction component in an on-demand mounting and resource isolation mode. The problem of insufficient document restoration capability in the prior art can be solved.

Systems and methods are provided for a data intake and query system providing a user interface including corresponding content from a system external to the data intake and query system, such as an observability system. On receipt of input from a client device, the data intake and query system may generate a user interface including the corresponding content. To generate the user interface, the data intake and query system may access a unique identifier corresponding to updated data for the external system. The data intake and query system may then determine whether the updated data includes corresponding data. If so, the data intake and query system may include visualizations based on the corresponding data.

The invention discloses an intelligent business handling process management and control platform, and particularly relates to the technical field of computers, the management and control platform is internally provided with a dynamic process engine module, and the dynamic process engine module is used for analyzing a third-party platform business process structure, supporting visual configuration of process nodes and rules and realizing automatic execution and scheduling of a process. And the flow execution process is monitored and fed back. According to the method, through automatic analysis and adaptation of dynamic changes of the third-party platform, reinforcement learning of dynamic scheduling resources, full-link monitoring and intelligent diagnosis, the problems of high adaptation cost, low resource scheduling efficiency and insufficient monitoring capability in traditional process management and control are systematically solved, and the automation rate, execution efficiency and stability of the business handling process are comprehensively improved.

The invention belongs to the technical field of research, development and design, and relates to a page layout generation method, device and equipment and a storage medium thereof. Performing data depth feature extraction on the preprocessed original data to obtain data depth features; carrying out attention weight calculation on all constituent elements in the page by adopting a preset depth self-adaptive sparse attention mechanism in combination with the data depth features, and generating a dynamic sparse mask matrix in combination with a context sparse perception result; through decoding and layout rendering, a visual page layout is rendered in a target interface, in combination with a preset depth adaptive sparse attention mechanism, the attention weight calculation complexity is reduced, more attention is paid to the calculation of page layout data depth features, the computing power resource consumption of a computer is reduced, the page generation efficiency is improved, and the page generation efficiency is improved. The method is applied to the field of financial or health care medical services, and can improve the generation efficiency of service electronic propaganda posters or APP activity pages.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating webpage data. An example method includes accessing content data associated with a first webpage and determining context data corresponding to one or more users associated with the first webpage. Based on (i) the content data and (ii) the context data, prompt data for one or more trained machine learning (ML) models is generated. The prompt data is provided to the ML models to obtain output data corresponding to one or more variation content elements. Data representing one or more candidate webpages is generated by adapting the one or more variation content elements according to the content schema. An instruction is provided to a computing device to cause the display of a representation of at least one candidate webpage included in the one or more candidate webpages.