3449results about "Website content management" patented technology

Techniques for logical text passage generation and retrieval for retrieval-augmented generation. The techniques involve processing markup language documents to generate logical text passages and their corresponding embeddings. These embeddings are indexed for efficient retrieval. Upon receiving a user utterance, a user query is formed and transformed into an embedding to query the index. Relevant text passages are identified and used to prompt a large language model (LLM), which generates a completion. This completion is then sent as a response to the user. The process effectively bridges user queries with relevant information through advanced embedding and natural language processing techniques, enabling accurate and contextually appropriate interactions within a user-agent dialogue framework.

The invention relates to the technical field of page rendering, and discloses a progressive page rendering method and system based on streaming data, and the method comprises the steps: carrying out the data segmentation through obtaining a data stream, user interaction data and equipment performance parameters, and obtaining data blocks; then, performing cache management in combination with the data, and constructing a multi-level cache pool; thirdly, performing priority grading and sorting on the data blocks to form a rendering task queue; and according to the equipment performance parameters, optimizing a task sequence and obtaining an optimized task sequence. Next, combining the optimized task sequence and user interaction data, predicting data about to enter a viewport, and generating a viewport pre-rendering task; and finally, according to the viewport pre-rendering task, the multi-level cache pool and the equipment performance parameters, performing rendering strategy optimization to obtain a dynamically adjusted rendering task flow. The method can realize dynamic resource scheduling.

The invention relates to the technical field of UI design, can be applied to business scenes such as financial science and technology and medical health, and discloses a page layout method based on display material driving, which comprises the following steps: obtaining page display materials and storing the materials in a material resource library, selecting target display materials and generating a page frame, inserting display blocks of preset elements in the page frame, and displaying the preset elements in the display blocks. Generating visual preview data based on layout parameters of the page frame, outputting the visual preview data to an interface rendering processing module, performing association coding on coordinate mapping data of the page frame and a content identifier of the display block to generate a structured storage file, analyzing terminal feature parameters in the access request, generating an access identifier, and displaying the access identifier to the interface rendering processing module. And generating a target display interface according to the access identifier. According to the method and the device, the association relationship between the display material and the coordinate mapping data and the content identifier is established, and the layout metadata and the rendering parameters are extracted in combination with the terminal features to complete interface generation, so that the adaptation accuracy of structured expression of page configuration and interface output is realized.

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 provides an information display method and device based on a large model, equipment, a medium and a product, and relates to the technical field of data processing, in particular to the technical field of artificial intelligence such as large models, natural language processing and deep learning. The information display method based on the large model comprises the steps that in response to a received query problem, matching is conducted on a field value set of a target data table corresponding to the query problem according to the query problem, at least one target field value set is obtained, the target field value set comprises multiple target field values related in semantics, and the target field value set comprises multiple target field values related in semantics; the plurality of target field values are used for reducing the semantic deviation of understanding the query problem by the large model; according to prompt information obtained based on the query problem, the at least one target field value group and the description information of the target data table, calling the large model to generate a target query statement; and displaying a query result obtained by executing the target query statement.

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 self-adaptive data acquisition method and device. The method comprises the following steps: acquiring to-be-processed webpage source code information, a historical webpage source code set and a crawler information set; the historical webpage source code set comprises a plurality of pieces of historical webpage source code information; the crawler information set comprises a plurality of pieces of crawler program information; performing fusion processing on the historical webpage source code set and the crawler information set to obtain crawler strategy generation model information; and generating model information by utilizing the crawler strategy, and processing the to-be-processed webpage source code information to obtain webpage collection information. Therefore, according to the embodiment of the invention, the acquisition strategy can be adaptively adjusted according to actual conditions, and data acquisition can be efficiently and accurately carried out, so that the daily maintenance cost of technicians can be reduced, and the efficiency and quality of data acquisition can be improved.

The invention provides a webpage dynamic element pickup method and system based on RPA, and relates to the technical field of digitization, and the method comprises the steps: firstly building a life cycle tracking model of elements, covering initial loading, state change, failure recovery stages and inter-stage transfer conditions in an element interaction process; then multi-source interaction signals such as page loading events, user operation triggering and element attribute changing of a target webpage are collected, the multi-source interaction signals are analyzed based on the life cycle tracking model, and state evolution modes of elements in different life cycle stages are extracted and comprise loading, changing and recycling triggering conditions; generating a dynamic positioning rule set comprising basic positioning, change response positioning and recovery compensation positioning according to the state evolution mode, judging the current stage of an element through a life cycle tracking model when webpage element pickup operation is executed, calling a corresponding dynamic positioning rule to complete pickup, and feeding back a result to optimize the state evolution mode. And the accuracy and the stability of webpage dynamic element pickup are improved.

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 relates to the technical field of data processing, in particular to an HTML (Hypertext Markup Language)-based webpage word cutting annotation generation method, system and equipment, and aims to solve the problems of low storage efficiency, poor dynamic webpage adaptability, lack of fault tolerance and insufficient cross-browser compatibility of an existing word cutting annotation method. The method comprises the steps of capturing a selected area; obtaining DOM node path data and text offset, and generating positioning data; recursively storing the path data to generate a unique fingerprint identifier; storing the fingerprint data as historical fingerprint data in a JSON format; performing matching and positioning based on the historical fingerprint data; and mapping information in the historical fingerprint data to an HTML page to realize bidirectional rendering. According to the method, the label name, the class name and the hierarchical relationship of the DOM node are recorded through the node path to construct the fingerprint identifier, and cross-platform data exchange is realized through the JSON structure, so that webpage labeling which is efficient, accurate, high in fault tolerance and adaptive to a dynamic page is realized.

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 provides a page layout rearrangement / redrawing optimization method and system and computer equipment, and the method comprises the steps: carrying out real-time rearrangement / redrawing task triggering monitoring for a browser, and generating a rearrangement / redrawing task queue; performing dynamic priority grading on the rearrangement / redrawing tasks; monitoring the load proportion of the high-priority task in real time; meanwhile, determining a current frame interval and / or single-frame processing time; adjusting the task collection interval according to the current frame interval and / or the single frame processing time based on a dynamic interval adjustment rule; and according to the adjusted task collection interval, collecting the rearrangement / redrawing tasks according to task priorities, and performing unified layout calculation to generate an optimized rendering layout tree so as to execute page rendering according to the rendering layout tree. According to the method and the device, the task processing strategy is flexibly adjusted according to the real-time load condition, so that the page can still stably and smoothly run under the high load, the jamming phenomenon is avoided, and a more reliable browsing environment is provided for a user.

The invention relates to an intelligent rendering method for streaming mixed content. The method comprises the following steps: receiving the streaming mixed content; creating a rendering list; analyzing the streaming mixed content and splitting the streaming mixed content into one or more standard Markdown texts and component tags, and labeling types by using type identifiers: creating rendering items for the standard Markdown texts and the component tags, and storing the rendering items in a rendering list; rendering items in the rendering list are rendered, and the rendering steps comprise: identifying prefix identifiers of component tags, obtaining complete tag names, searching corresponding ending identifiers according to tag formats, and rendering the component tags at the same time; when the label ending identifier is not found, automatically adding a loading type rendering item by using a renderer; and identifying the rendered rendering item as rendered through the state identifier, and identifying the loading type rendering item as unrendered.

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 relates to the technical field of research and development management, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a multi-page application construction method and device, equipment and a medium, and the method comprises the steps: configuring a mapping relation between a template path and a script path; traversing a page module under the source file directory, and extracting a module identifier and a script path parameter; generating an entry script reference and injecting a placeholder of the template engine, and generating a page entry file; setting an entry configuration item of the construction tool and loading a module script file; executing a code compiling process, a dependency analysis process and a static resource packaging process; extracting a public dependency library of the page module and combining the public dependency library with the module script file into a public code block; and packaging the public code block and the compiled product into a deployable application package. According to the method, the mapping relation between the template entry and the script path is uniformly managed, the page entry file is automatically generated, and the construction tool entry is configured, so that the page entry configuration complexity is reduced.

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 the technical field of computer network data acquisition and processing, in particular to an intelligent news crawling system and method based on SpiderFlow, and the system comprises a dynamic time control module, an intelligent duplicate removal module, a paging processing module, a fault-tolerant data extraction module and a dynamic parameter configuration module. The dynamic time control module generates a time variable through a date calculation engine to realize accurate limitation of a crawling time range; the intelligent deduplication module adopts a three-level deduplication mechanism to ensure data uniqueness; the paging processing module supports static parameter and dynamic AJAX loading dual-mode paging, and realizes full-amount acquisition in combination with a self-increasing page number iterator and an intelligent termination strategy; the fault-tolerant data extraction module is integrated with CSS / XPath double parsers, and data integrity is guaranteed through field missing detection and messy code transcoding. Through multi-module cooperation and an intelligent algorithm, crawling efficiency, data quality and system stability are remarkably improved, and challenges such as webpage structure change and anti-crawling limitation are effectively handled.

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 belongs to the technical field of front-end performance optimization. According to the webpage resource preloading method and system based on multi-factor dynamic evaluation, a network quality score is obtained according to an obtained bandwidth factor, a network delay factor and a resource stability factor of a current webpage; dynamically adjusting the behavior weight score of each webpage resource according to the user behavior; determining corresponding loading priority weight scores according to the types of different webpage resources; and taking the weighted sum of the network quality score, the behavior weight score and the loading priority weight score as a final loading score, and carrying out corresponding webpage resource loading according to the final loading score. According to the method, the network quality evaluation and the user behavior prediction are combined by monitoring the network quality score and the user interaction behavior in real time and dynamically adjusting the loading priority and the strategy of the key resource, the limitation of a traditional static resource loading strategy is broken through, and the page loading speed and the overall performance are remarkably improved.

The invention discloses a social blog management system and method based on Vue and SpringBoot, belongs to the technical field of social networks, and solves the problems that an existing system only focuses on user information collection, activity registration and basic data storage and cannot meet the complex requirements of a blog platform for content creation, personalized recommendation and multi-dimensional social interaction, and the social blog management efficiency is improved. The system comprises a front-end module, a rear-end module and a database module, and the front-end module and the rear-end module carry out data interaction through AJAX and RESTful API (Application Program Interface); according to the system, a front-end and back-end separation framework of Vue.js and SpringBoot is adopted, and a relational database MySQL, a memory database Redis and OSS storage are combined, so that efficient storage and cache management of data are realized, the system performance is optimized, a back-end module can generate personalized recommendation information by analyzing user blog information, the user experience is improved, and the user experience is improved. Rich user management and social contact functions are provided, and interaction between users is enhanced.

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 discloses a webpage layout method and device, electronic equipment and a storage medium, in response to a webpage layout adjustment instruction, display characteristic parameters of a target viewport are obtained based on a preset interface, and the display characteristic parameters comprise viewport size parameters and an equipment pixel ratio; according to the viewport size parameter, classifying the display equipment corresponding to the target viewport to the corresponding screen specification classification; when the device pixel ratio deviates from the reference value, calculating the compensation scaling of each interface element in the target viewport in the display device based on the screen specification classification and the display characteristic parameters; and performing layout optimization rendering processing on each interface element according to the compensation scaling. Compared with the prior art, the display equipment is classified into the screen specification classification through the viewport size parameters, and the rigid limitation of a traditional fixed breakpoint is broken through. By classifying the target viewports, the problem that the main content area is blank due to fixed width elements in an ultra-wide screen scene is solved, and the screen space utilization rate is increased.