3404results about "Web data browsing optimisation" patented technology

Systems, computer programs, devices, and methods that enable LLM-based user interfaces within real-time and / or embedded devices. Providing user-specific context to a generically trained LLM may enable a variety of new usages and scenarios. For example, adaptive prompt augmentation may enable a user device to augment user-generated prompts with additional user context in the form of machine-generated prompts. In some variants, machine-generated prompts may be further refined to accommodate e.g., foundation model constraints, etc. APIs for user-specific data structures can be used to e.g., optimize for habitual behaviors, user idiosyncrasies, etc. Agentic query construction may enable a user device to operate with autonomy and decision-making capabilities, beyond prompt-response interactions. Stitching (or dreaming) may be used to identify pattern-based associations within high dimensional space (embedding vectors).

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 exhibit recommendation, and particularly discloses an exhibit first push item optimization method combining a user portrait and user positioning, which extracts user positioning data from an indoor positioning system, and determines a target exhibit group based on real-time position and orientation information of a user, and then introducing a deep learning technology to perform semantic analysis on the user portrait data to extract user portrait features, and performing semantic matching analysis on the user portrait features and feature tags of each exhibit in the target exhibit group to determine an exhibit first push item from the target exhibit group. Through the mode, the behavior preference of the user and the real-time physical environment information can be comprehensively considered, a more accurate and personalized exhibit recommendation service is provided for the user, then the visiting experience of visitors is improved, and the resource utilization efficiency of culture display places such as museums and exhibition halls is optimized.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of financial science and technology, medical health and the like, and discloses an intelligent document processing method, device, equipment and medium, comprising: receiving a document processing request and generating a task identifier, creating and sending a document processing task, constructing an intermediate document structure and generating a plurality of subtasks, and processing the sub-tasks, writing states and page contents into a cache, regularly querying task states, updating accessible identifiers, responding to an access request, loading the page contents, and integrating pages to generate a complete document after all the sub-tasks are completed. According to the method, the document generation task is divided into a plurality of sub-tasks which can be independently processed, and page-level asynchronous loading is realized in combination with a state cache and a regular query mechanism, so that the response speed and the system processing efficiency are remarkably improved while the generation accuracy is ensured; the problems that in the prior art, document generation delay is high, loading is slow, and user waiting time is long are effectively solved.

The embodiment of the invention discloses an intelligent front-end rendering optimization method and system based on real-time environment perception. Obtaining user behavior data and environment perception data corresponding to the terminal; determining a resource loading variable according to the environment perception data based on the equipment weight model, the network weight model and the rendering weight model; performing priority weighting processing on the resource loading variable, and determining priority data corresponding to the terminal; a preset resource loading strategy is sent to the terminal according to the priority data, and the terminal performs rendering optimization on the page based on the preset resource loading strategy according to a progressive rendering template and a parallel resource scheduling method; and determining a multi-terminal operation conflict probability based on the user behavior data, determining a multi-terminal high-risk operation type, and executing intelligent front-end rendering optimization of a conflict reduction strategy based on real-time environment perception according to the multi-terminal high-risk operation type. The loading speed and rendering efficiency of the front-end application are improved, and smoother interaction experience is provided for the user.

The invention discloses a public information publishing platform and method, and relates to the technical field of information public facilities, and the method comprises the following steps: obtaining to-be-evaluated information and publisher data, and analyzing to generate a credibility score PA of an information source; performing sentiment analysis and keyword inspection on the to-be-evaluated information, identifying sentiment deviation and semantic contradiction in the to-be-evaluated information, and analyzing a credibility score PB of the generated content; and acquiring an external authoritative data source, comparing the external authoritative data source with a time consistency check algorithm by using a text similarity algorithm, judging the consistency of the to-be-evaluated information and the external authoritative data source, and outputting a consistency reliability index Pc. According to the method, the problems of low false information identification efficiency and poor accuracy in the prior art are effectively solved by combining multi-dimensional data processing such as information source credibility evaluation, content analysis, external authoritative data source comparison, propagation path analysis and the like.

Methods, systems, and computer storage media for providing a knowledge graph using a generative AI knowledge graph (KG) engine “generative AI KG engine” in an item listing system. The generative AI KG engine supports generating the knowledge graph using a generative AI model (e.g., an LLM). In operation, a seed product is accessed in a product listing system. Using a product knowledge graph, a plurality of candidate products associated with the seed product are identified. The product knowledge graph comprises a plurality of products as nodes and a plurality of relationships as edges. The product knowledge graph is associated with a generative AI model. Using a ranker of the product listing system, a plurality of recommended products are identified. The plurality of recommended products are a subset of the plurality of candidate products. The plurality of recommended products are communicated and caused to be generated on a graphical user interface.

The invention discloses a Web business process intelligent automatic execution system based on deep learning, and relates to the technical field of Web automation, and the system comprises a data acquisition and semantic analysis module which is used for acquiring business process description and Web page multi-modal data and generating structured business process representation; the deep learning feature extraction module is used for performing deep learning feature extraction on the multi-modal data to obtain corresponding structural feature vectors, visual feature vectors and text feature vectors; the cross-modal association fusion module is used for generating unified page feature representation; the page element intelligent identification module is used for identifying and positioning the target element based on the unified feature representation; the instruction generation module is used for generating an operation instruction sequence; and the execution control module is used for executing the instruction and dynamically adjusting the strategy. According to the method, a complete automatic link from business description to technology execution is established, conditional branch processing and complex dependency relationship management are supported, and the workload of manual programming and maintenance is reduced.

The invention provides a front-end resource dynamic preloading method and system based on user behavior intention prediction, and relates to the technical field of computers, and the method comprises the steps: collecting continuous behavior data of a user in real time in a client browser, carrying out the feature extraction of the collected behavior data, and generating a behavior feature vector; on the basis of an intention prediction model deployed at a client, according to the behavior feature vector, performing real-time prediction on the click intention probability of each interactive element in the page; when the predicted click intention probability exceeds a preset threshold value, triggering a resource preloading instruction; and according to the resource preloading instruction, dynamically creating a browser preloading label, and starting background downloading of a target resource so as to perform dynamic preloading of a front-end resource. According to the method and the device, the resource utilization rate and the page loading efficiency are improved, so that the waste of a server and network resources is reduced while the user experience is improved.

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 relates to an intelligent marketing content generation and optimization system, and belongs to the technical field of artificial intelligence and digital marketing. According to the system, through cooperative operation of the data acquisition module, the intelligent text generation module, the multi-modal synthesis module, the risk management and control module and the dynamic optimization module, whole-process closed-loop management of marketing content is realized. The data acquisition module captures unstructured data from a multi-source platform based on a user authorization protocol, semantic cleaning and structured processing are performed through a large model interface, and the problems of data dispersion and fragmentation are solved. The intelligent text generation module receives user parameters through an interactive interface, matches a preset prompt word bank, calls a large model interface to generate multi-version copywriting in batches, and supports concurrent processing of single-choice or multi-choice product lists. The multi-modal synthesis module extracts keywords according to copywriting semantics, matches pre-annotated visual materials and generates multilingual speech paraphrases, so as to ensure the consistency of graphic and text information. The risk management and control module intercepts sensitive content in real time based on an industry rule base, and guarantees output compliance. And the dynamic optimization module integrates the user behavior data to generate a delivery strategy, updates a prompt word bank and a generation model through a closed-loop feedback mechanism, and realizes dynamic adaptation of contents and market demands. Compared with a traditional method, the system has the advantages that the content generation efficiency, the cross-modal matching precision and the compliance control level are remarkably improved, and the system is suitable for the global digital marketing requirements of multiple industry scenes such as e-commerce, industrial equipment and cross-border trade.

The invention provides a data interaction system and method, an electronic device and a storage medium, a data management module obtains operation parameter data from a plurality of graphics processors before a substrate management controller obtains operation state parameter data from the plurality of graphics processors; the plurality of graphics processors divide the operation parameter data into a plurality of data blocks, encapsulate the plurality of data blocks into a plurality of parameter data packets, and transmit the plurality of parameter data packets to the data management module in parallel through multiple channels; after the data management module receives a query instruction which is sent by the substrate management controller and is used for obtaining the running state data of the graphics processor, the data management module extracts the running parameter data cached locally based on a dynamic prefetching algorithm and sends the cached running parameter data back to the substrate management controller. Compared with the prior art, the time for directly interacting with the graphics processor by the baseboard management controller to obtain the data can be saved.

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 provides a multi-tenant data pushing method, and relates to the technical field of computer software and information, and the method comprises the steps: achieving unified identity authentication through single sign-on, and dynamically distributing a pushing authority based on an authority strategy; defining conversion rules and tasks by utilizing a visual interface of the low-code configuration center, and generating a standardized data packet; and centralized scheduling is carried out in a multi-tenant management and control center, and the stability of the system is guaranteed by combining a current limiting and dynamic retry mechanism. Source system data are collected in real time, and format conversion is completed through a rule engine after grammar, permission and event state verification. And pushing in an asynchronous mode, and recording full-link information including a tracking ID, a timestamp, a data fingerprint and a response state. And when pushing fails, a compensation mechanism is triggered, degradation or retry is carried out according to a preset rule, final consistency of data is ensured, and the reliability and maintainability of the system are improved.

Systems, computer programs, devices, and methods that enable LLM-based user interfaces within real-time and / or embedded devices. Providing user-specific context to a generically trained LLM may enable a variety of new usages and scenarios. For example, adaptive prompt augmentation may enable a user device to augment user-generated prompts with additional user context in the form of machine-generated prompts. In some variants, machine-generated prompts may be further refined to accommodate e.g., foundation model constraints, etc. APIs for user-specific data structures can be used to e.g., optimize for habitual behaviors, user idiosyncrasies, etc. Agentic query construction may enable a user device to operate with autonomy and decision-making capabilities, beyond prompt-response interactions. Stitching (or dreaming) may be used to identify pattern-based associations within high dimensional space (embedding vectors).

The invention provides an AI streaming output rich text real-time rendering method and system based on minimum rendering unit recognition. The method comprises the steps that an AI model outputs a text stream to an AI agent; defining a minimum rendering unit (MRU), wherein the minimum rendering unit is self-consistent in format and complete; the AI agent analyzes the text streams in real time, the analysis process continuously judges whether the currently accumulated text streams form a complete MRU or not, and if yes, a rendering trigger mark is added for output; if not, directly outputting; the client receives the output result and the text stream and judges whether current rendering is triggered or not, and if yes, the rendering result is displayed; and if not, continuing to receive the output result until the rendering result is displayed after the rendering is triggered. According to the method, real real-time rendering can be realized, and a user can see a formatted result to appear on a screen step by step and smoothly while AI generates contents, so that response speed perception and interaction experience are greatly improved, and the pain point of blank screen waiting is solved.

The invention relates to a visual big data display method, and aims to solve the problems that in the prior art, data processing is not fine, the visual effect is poor, the interaction function is limited, and the multi-terminal adaptability is poor. Original big data is cleaned, converted and aggregated through the data preprocessing module, and a high-quality visual data set is generated. The visual component selection and configuration module accurately selects and configures components from various visual component libraries according to data characteristics and analysis purposes. And the visual layout design module adopts response type layout design, so that the self-adaptive display of the interface on different devices is ensured. The interaction function setting module supports rich mouse operation and data linkage interaction functions, and provides comfortable interaction experience for users. And the visual rendering and presentation module realizes a smooth and high-quality display effect by using a graphic rendering engine.

Certain aspects of the disclosure provide artificial intelligence (AI) methods and systems for generating personalized social media content with trend integration. A method generally includes retrieving data from data sources that includes customer interactions with a business, and inventory data of the business, determining trending-product pairs that increase engagement of the customers with products recorded in the inventory data of the business based on the retrieved data. A generative artificial intelligence (AI) model is used to generate one or more of a caption, a hashtag, and a promotional image that are personalized to each of the customers in response to receiving prompts that contain information about the customers, information about trending-product pairs, and social media platforms of the customers. The method sends one or more of the captions, the hashtags, and the promotional images that are personalized to the customers to social media platforms of the customers.

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 tree control rendering method, which comprises the following steps that a data list is acquired, and each piece of data in the data list comprises a hierarchy field and a node field; rendering and generating tree structure data according to the hierarchical field and the node field of each piece of data; rendering and generating a first tree control based on the first N-level nodes of the tree structure data, and displaying the first tree control; and in response to a received instruction for expanding the first tree control, loading data corresponding to a to-be-expanded node and re-rendering the first tree control to obtain a target tree control. The invention further discloses a system, computer equipment and a readable storage medium. According to the scheme provided by the invention, the data with the hierarchical structure can be effectively processed and displayed, tree-shaped hierarchical loading is reduced through a gradual loading and rendering mode, the user requirements are met, and the product performance and the user experience degree are greatly improved.

The invention provides a universal Web form generation method and system based on iReport, and relates to the technical field of computer software, and the method comprises the following steps: obtaining document information, identifying metadata information of a document, defining attribute information of the metadata information, and obtaining a structured metadata definition set; according to the metadata definition set and a form design function of i Report, performing arrangement and attribute mapping processing on each object in a preset form basic interface to obtain a form design template with a mapping relationship between an interface control and a corresponding document attribute; according to the form design template, respectively calling a Web control rendering engine and a PDF generation function of iReport, and carrying out page control or file template rendering processing to obtain an HTML page and / or a PDF file for a user to input Web data; and according to the HTML page, carrying out user data entry and verification processing to obtain standardized form data. According to the method, the editable Web page can be quickly generated, and the corresponding standardized PDF file can also be generated.

The invention discloses a multi-modal data management method based on a large model technology, and relates to the technical field of combination of artificial intelligence and a large data technology, and the method comprises the following steps: collecting multi-modal data of a target body through a web crawler, processing the collected multi-modal data, extracting features in the processed multi-modal data, and storing the features in a database; a multi-modal feature vector is formed through combination of an attention mechanism and a weighted summation method, association between different modal features is learned by using a multi-modal auto-encoder and a multi-modal Transform model, a multi-modal feature space is constructed, and a multi-modal feature vector is obtained. According to the method, a web crawler acquisition technology, a multi-modal feature extraction and fusion technology and a modern information technology are closely combined, multi-modal data such as texts, images, audios and videos are accurately captured, and high-quality multi-modal feature vectors and a unified multi-modal feature space are obtained; and real-time and comprehensive monitoring of the whole process from acquisition to processing and storage of the multi-modal data is achieved.

Systems, computer programs, devices, and methods that enable LLM-based user interfaces within real-time and / or embedded devices. Providing user-specific context to a generically trained LLM may enable a variety of new usages and scenarios. For example, adaptive prompt augmentation may enable a user device to augment user-generated prompts with additional user context in the form of machine-generated prompts. In some variants, machine-generated prompts may be further refined to accommodate e.g., foundation model constraints, etc. APIs for user-specific data structures can be used to e.g., optimize for habitual behaviors, user idiosyncrasies, etc. Agentic query construction may enable a user device to operate with autonomy and decision-making capabilities, beyond prompt-response interactions. Stitching (or dreaming) may be used to identify pattern-based associations within high dimensional space (embedding vectors).

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 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.

Systems and methods for multimodal query suggestion can include obtaining image data, determining text strings associated with the image data, and providing the text strings as selectable options for performing a multimodal query with the image data. The text strings can be determined based on performing object detection and classification on the image data. The object classifications can then be leveraged for determining potential text queries a user may select for obtaining additional information about the classified object.

In accordance with the present disclosure, one or more computing devices and / or methods are provided. In an example, a query may be received from a client device. In response to the query, a plurality of search results corresponding to a plurality of internet resources associated with the query may be generated. A plurality of content items may be generated based upon the plurality of search results. The plurality of content items may be generated using a plurality of content extraction tools. A language model may be used to generate a plurality of summaries of the plurality of content items. Summary scores of the plurality of summaries may be determined. A first summary may be selected from the plurality of summaries based upon the summary scores. In response to selecting the first summary, the first summary may be provided for display on the client device.

A computer-implemented method for computational textual search to find and display search identified information in documents. Search queries are processed over one or more documents either at a server or user device using match schemes that produce both binary (match or no match) and non-binary (i.e. multiple matching values) results and have relative fuzziness relationships. A fuzzier match scheme implies more results and fewer false negatives and a less fuzzy match scheme implies fewer results and fewer false positives. This fuzziness relationship allows, without changing a search string, for users to quickly change from a match scheme to a fuzzier or less fuzzy match scheme depending on user evaluation of results as containing too many false negatives or too many false positives—without becoming a programmer of complex search string metadata or an expert user of advanced search capabilities.