2289 results about "Web page" patented technology

A system and method is described for internationalization of web pages by extracting translatable content from extensible mark-up language (XML), or similar data-centric meta-language representations of web pages or data used to build web pages. The extracted translatable content is stored in a translation task repository (TTR) accessible by the web developer and the translator. The XML representation is then modified to include selection control logic to select the appropriate translations for insertion into the final web page. The translator accesses the TTR to translate the appropriate content and saves the translations back to the TTR associated with the original translatable data. The translations are obtained from the TTR as selection cases for the selection control logic of the XML representation. As the XML is converted into the web source code, the selection logic and translations are embedded therein facilitating building the web site in multiple different languages.

Aiming at the problems of insufficient language understanding depth, weak personalized dialogue generation ability, lack of continuous learning and long-term user state modeling and the like in the current emotion recognition and psychological intervention technology, the invention provides a user emotion recognition and psychological intervention method combined with a large language model (LLM). According to the method, the potential emotional state is identified by analyzing free text information input by a user by utilizing the powerful capabilities of a large language model in the aspects of natural language understanding, emotional modeling and text generation; constructing a multi-round dialogue context, and reasoning a psychological change trend of the user; in combination with a psychological knowledge base, personalized and mild psychological intervention dialogue content with a dredging effect is generated. The system supports recognition and classification of various emotional states such as depression, anxiety and alonity, is suitable for various interaction scenes (such as APPs, webpages and social robots), and can greatly improve the precision of emotion recognition and the timeliness and effectiveness of psychological intervention. The emotion recognition and psychological intervention method based on the large language model provides solid technical support for constructing an intelligent, continuous and personalized psychological health management system, and has wide application prospects and profound social significance.

The invention discloses a full-scene task autonomous execution method and system based on a large model, belongs to the technical field of computer application and artificial intelligence, and aims to solve the technical problems that an existing RPA technology is lack of autonomous thinking ability, and a browser use technology is limited in application range, is greatly influenced by factors such as webpage change and the like, and is poor in reliability. The Computer use technology is inaccurate in operation, high in development difficulty and has security risks, and the technical scheme comprises the following steps: establishing an MCP service, and compiling a task autonomous execution tool set containing various basic operation instructions including software opening, browser starting, precise clicking and information filling; the MCP service is deployed in the Windows virtual machine environment, and stable operation of the service is ensured; constructing a task autonomous execution workflow agent with task understanding, planning and scheduling capabilities; the user inputs a task target through a natural language, and the agent receives and records the specific demand of the user as a target guide for subsequent task generation and execution.

The present invention relates to a system for transforming static websites into artificial intelligence (AI)-enabled interactive multi-modal conversational platforms. The system comprises a computing device having a processor for receiving user queries as text or speech input through an input module cooperating with a speech-to-text module. A natural language processing (NLP) module interprets intent, classifies user context, and retrieves grounded information from multiple webpages. A persona adaptation module dynamically modifies vocabulary, tone, and avatar representation across roles such as sales assistant, recruiter, educator, healthcare professional, etc. A response generator module produces structured natural language output, transmitted to a text-to-speech synthesis module and an avatar generation module to render synchronized lifelike video responses. An output rendering module displays multi-modal responses include text, audio, and video, thereby enabling direct navigation and escalation beyond limitations of conventional static websites.

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 a method and device for refreshing a web page. The method comprises a step of displaying a web page, a step of obtaining a refreshing instruction corresponding to the web page,wherein the refreshing indication is used for instructing to reload the web page, and a step of displaying a prompt pop-up window if the need of emitting reminding is determined according to the typeof the web page after obtaining the refreshing indication, wherein the prompt pop-up window includes reminding information used for reminding whether to confirm the reloading of the above web page. According to the technical scheme provided by the embodiment of the invention, the operation of erroneously executing the refreshing of the web page can be effectively avoided, and misoperations are reduced.

The invention provides a method for displaying a hotspot keyword. The method comprises the steps of obtaining the hotspot keyword, generating a display body used for displaying the hotspot keyword, implanting the hotspot keyword into the display body, and controlling the display body with the implanted keyword to move towards the bottom end of a rotated web page in a gravity falling mode after the web page where the display body with the implanted keyword is located is rotated. The invention further provides a device and a browser for displaying the hotspot keyword. The display body is generated by obtaining the hotspot keyword, the hotspot keyword is implanted into the display body, and after the web page where the display body with the implanted keyword is rotated, the display body with the implanted keyword moves towards the bottom end of the rotated web page in the gravity falling mode. Therefore, dynamic and stereoscopic display of the hotspot keyword is achieved, the display effect is improved, the visual sense is enriched, and the interaction performance is high.

The invention discloses an end-edge collaborative lightweight voice interaction large model optimization method and system, belongs to the technical field of data mining, data analysis and artificial intelligence, and aims to solve the technical problems that the existing webpage control technology is low in integration level, high in resource demand, insufficient in robustness and limited in adaptability. According to the technical scheme, the method comprises the following steps of: analyzing a natural language instruction: capturing the natural language instruction of a user on end-side equipment by utilizing an ASR model, converting a voice signal into text data, and performing semantic recognition and intention recognition on an edge server through a generative large model so as to generate a structured task instruction; scene vocabulary extraction and ASR model fine tuning: constructing a scene exclusive vocabulary library based on a control scene, performing fine tuning on the pre-trained ASR model, and improving the speech recognition accuracy in a specific scene; semantic understanding is optimized based on the RAG model; optimizing instruction generation based on a cue word technology; performing instruction verification and error correction; performing automatic webpage operation; and performing model optimization and reasoning acceleration.

Architectures and techniques are described that can receive an indication that additional information about a dynamic element of a webpage is solicited or requested. In response to the indication, context data can be determined, comprising user context data and page context data. As a function of the context data, prompt data can be generated. The prompt data can be indicative of a natural language query. The prompt data, which was automatically generated, can be input to a model such as a large language model in order to obtain the additional information about the dynamic element.

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 a multi-task collaborative incremental webpage data acquisition method and system, and particularly relates to the technical field of webpage data acquisition, which comprises the following steps: performing primary evaluation on a target webpage to calculate a structural uncertainty score, judging whether to enter deep evaluation to generate a page structure consistency index and a content update index, and if yes, determining that the target webpage is consistent with the content update index; outputting an acquisition scheduling coefficient through the acquisition scheduling prediction model, and selecting a structure reconstruction mark tracking or content difference snapshot comparison path; task strategy types are classified in combination with the combination relation of the two indexes, and multi-task collaborative collection is achieved according to the classification result and a preset collaborative strategy; according to the method, webpage structure and content changes can be dynamically perceived, a structure consistency index and a content updating index are generated, and the judgment precision before collection is improved; an adaptive path is selected according to the collection scheduling coefficient, and the collection stability in a complex webpage environment is enhanced; and in combination with a classification result and a coordination strategy, resource allocation and time scheduling are optimized, and efficient coordination among multiple tasks is realized.

The invention discloses an all-media operation intelligent analysis platform based on big data, and relates to the technical field of computers, the platform comprises a data acquisition module, the data acquisition module applies a distributed crawler technology, compiles customized scripts, and combines social media official API calling and data interface docking or pushing of a cooperation platform to obtain a data acquisition module; all-media data including texts, images, audios and videos are collected from web pages, social media and news clients in real time; through a distributed crawler technology, social media official API calling and cooperation platform data interface docking, all-media data including texts, images, audios and videos are collected in real time, and cross-modal data are converted into feature vectors in a unified format for fusion by using a dynamic weight fusion algorithm. The problem that in a traditional analysis method, single-modal data information is limited is solved, and a cross-modal dynamic fusion formula is adopted.

The present invention comprises a novel social media video debating web and mobile application. The platform will provide a space for users to debate uninterrupted by both the audience and the opponent whereby each participant is given a set time to express their thoughts on a subject matter. The online debate platform provides a controlled setting for the participants to have their debates viewed, voted on and subsequently ranked by the other users of the platform. The online debate platform is also monitored by a unique AI system that updates debate “winners,” flags offensive content, and moderates each debate on the platform in real time. The disclosed platform and following figures will provide a space for individuals to debate subjects in a uniformed structure and have real-time results from active user viewership. The online debate platform aims to provide an established place for constructive debating.

The invention discloses a webpage data collection method and a related device, and relates to the technical field of data processing.The webpage data collection method comprises the steps that a webpage data collection knowledge base containing data collection modes of various webpages is constructed in advance; a data acquisition mode matched with the webpage is obtained from a webpage data acquisition knowledge base, and the data acquisition mode defines that an analysis mode of each field in the webpage is analyzed based on multi-modal features (at least two of DOM structure fingerprint features, visual position features and semantic features of the fields); according to the method, the analysis accuracy of the webpage data can be greatly improved, so that stable and efficient execution of a webpage data acquisition task is guaranteed.

The invention provides a gestational diabetes risk prediction system and method based on multi-modal data fusion, and the system comprises a data collection module which is used for integrating clinical indexes and medical record text data; the data preprocessing module converts the multimode data into numerical values and text variables which can be used for modeling; the variable screening module is used for extracting data features by adopting LASSO regression in combination with a recursive feature elimination algorithm and a Clinical-BERT model; the data prediction module is used for constructing a GDM risk prediction model through a dual-channel calculation unit and a fusion unit, generating an accurate risk probability and providing an interpretable clinical index in combination with an SHAP value; and a prediction result is output through the output module in the forms of a dynamic column diagram, a webpage calculator and an API interface, so that clinical operation and application are facilitated. According to the method, the limitation of a traditional prediction method is broken through, the prediction precision and the real-time monitoring capability are improved, and the development of precise medical treatment is promoted.

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 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 discloses an electronic license technology for special operation examination and approval through material object scanning and face recognition, and particularly relates to an electronic operation license for examining and approving dangerous operation for special operation in a production field in an information acquisition and online management mode. Comprising a special operation management and control system, a face / appliance recognition system, a gas detection system and a movable monitor. According to the special operation management and control system, an informatization platform is mainly built, the original paper version approval process is converted into online approval, whole-process supervision is achieved, and meanwhile a mobile phone end APP and a computer end webpage are built. The face / appliance recognition system is mainly used for a face recognition system and an equipment and facility recognition system; the gas detection system comprises a portable gas concentration detection alarm instrument, a data storage device, a data transmission device and a recording device; the movable monitoring system can construct all processes for monitoring, remote supervision is facilitated, and archiving and reviewing are achieved at the same time. An informatization centralized management and control mode is adopted, the original tedious processes of paper version approval, archiving, regular detection of toxic and harmful gases and recording are broken through, online approval and process full recording are realized through system construction, a tamper-proof function is set, the record traceability is ensured, real field confirmation of personnel at all levels is ensured, and the system is safe and reliable. And meanwhile, the whole process can be remotely and comprehensively monitored.

This disclosure describes systems that generate a selection of large language model (LLM) function buttons in a floating widget within a web browser of a client device. The disclosed systems can generate or otherwise select the LLM function buttons to include based on context of a webpage within the web browser. Responsive to detecting an indication of an interaction with an LLM function button, the disclosed systems can generate a side panel within the web browser according to the LLM function button. In some embodiments, the disclosed systems can display and utilize a customized LLM function button responsive to detecting a certain webpage or content within the webpage. Further, in some embodiments, the disclosed systems can generate an LLM function button to perform a customized workflow responsive to detecting a certain webpage or content within the webpage.

The invention relates to the technical field of computers, in particular to a multi-modal sample data generation method and device, electronic equipment and a storage medium, and the method comprises the following steps: for a target webpage, obtaining a webpage screenshot and element information of UI elements in the webpage; generating annotation information based on the element information of the UI element; taking the annotation information and a preset task cue word as text input, taking the webpage screenshot as picture input, and inputting the text input and the picture input into a large language model to obtain description information which is output by the large language model and is used for describing the webpage screenshot; and taking the webpage screenshot and the description information as sample data for training the multi-modal large language model. According to the embodiment of the invention, the generation efficiency of the sample data of the multi-modal large language model can be improved.

The invention provides an interpretable machine learning-based giant coronary artery tumor prediction method in Kawasaki disease, and belongs to the technical field of biological information processing. Comprising the following steps: S1, collecting hospitalized KD child patient cases by adopting a retrospective queue research method, and excluding cases which do not meet requirements; s2, coronary artery lesion evaluation and classification; s3, performing variable preprocessing; s4, constructing a machine learning model; s5, performing variable screening; s6, model interpretation; s7, determining an optimal intervention threshold value; and S8, developing an online prediction tool. According to the method, an SVM kernel lab model with the optimal performance is screened out through multi-model comparison, and a group of key prediction molecules are determined in combination with an SHAP method and recursive feature elimination; based on a multi-center data verification model, the model applicability is improved; and early recognition and layered management of high-risk child patients can be realized. A webpage tool is developed, and a patient with high risk is suggested to intervene in advance.

The invention discloses an intelligent rainfall forecasting method and system based on real-time assimilation driving of sky-air-ground multi-mode sensing data, and relates to the field of machine learning, and the method comprises the steps: carrying out the coordinate alignment of an obtained standardized multi-source meteorological data set, distributing a weight according to the time-space credibility of a data source, and carrying out the calculation of the time-space credibility of the data source; generating an enhanced radar image feature set implying multi-modal information, and inputting the enhanced radar image feature set into the double-branch-UNet-GAN collaborative optimization model for training to obtain an optimal model adaptive to multi-modal data; based on severe convective weather characteristics and business requirements, precision correction and lightweight processing are performed on a forecast result after test set adversarial optimization through a regional attention mechanism, visual display is realized through an APP and a webpage terminal, positioning query and early warning push functions are synchronously provided, and a closed loop from data to service is completed. According to the method, full-chain innovation is formed from data fusion, model performance, aging precision, resource adaptation to service landing, and the scientificity and application value of intelligent rainfall forecasting are remarkably improved.

Aspects of the present disclosure are directed to receiving a user phone call and triggering user interactions via an alternative channel in response to the user phone call. Users may call an account service provider with issues related to a user account. To service such a call, the account service provider may prompt the user for information. This information can be analyzed to determine whether the conditions for the user's call are aligned with a shift to a more efficient alternative channel. For example, a guided user workflow via a webpage, application, chat agent, etc. may represent a more efficient deployment of organizational resources. When such conditions are aligned, the account service provider may trigger a selected user interaction workflow for the user call via an alternative channel. The user interaction workflow can comprise a guided workflow that is configured to resolve the user's issue related to the call.

The invention relates to an interactive three-dimensional rendering system and method, and the system is characterized in that a three-dimensional rendering server carries out the signaling exchange according to a connection request, builds a webpage real-time communication channel, compresses a rendered image frame into a video stream through the webpage real-time communication channel, and transmits the video stream to a client for display; when the client detects an interaction operation of a user, the generated instruction interaction data is transmitted to the three-dimensional rendering server through a webpage real-time communication channel; the three-dimensional rendering server applies the instruction interaction data to the rendering process of the image frame according to the three-dimensional map service unit and the preset instruction information, so that the client updates the displayed video stream; unified processing of video stream transmission and instruction interaction is realized by establishing a standardized webpage real-time communication channel, different map engine interfaces are compatible by adopting a preset instruction protocol specification, the system integration complexity is reduced while the real-time rendering performance is ensured, and the method has the advantages of improving cross-platform interaction compatibility and reducing instruction analysis delay.

Processing a payment transaction from a payer (operating a payer computing system) to a payee (operating a merchant computing system) by a secure computing system. The secure computing system outputs a financial account registration request form to the payer computing system (e.g., within a window or frame that is displayed within an ecommerce webpage provided by the merchant computing system) for the payer to provide sensitive financial account information, securely stores the sensitive financial account information, maintains compliance with an information security standard (e.g., a Payment Card Industry Data Security Standard), and provides a non-sensitive electronic data token representing the sensitive financial account information to the merchant computing system. The merchant computing system can then process the payment transaction using the sensitive financial account information represented by the non-sensitive electronic data token without actually receiving—and, therefore, having to secure—the underlying sensitive financial account information.

A query that includes one or more variables is received. The one or more variables correspond to one or more interactive elements. A large language model is utilized to generate a query response that associates one or more variables included in the query to the one or more interactive elements. A script is generated utilizing the query response that associates the one or more variables included in the query to the one or more interactive elements.

The embodiment of the invention provides a page caching method and device, and the method comprises the steps: building a double-cache structure according to a current page stack and a historical page pool, building a five-layer data collection matrix, carrying out the user access behavior capture, obtaining a multi-dimensional access behavior feature, inputting the multi-dimensional feature into a three-level connection integration model, and carrying out the page access probability prediction. A predicted access page list is obtained, and predicted access pages in the predicted access page list are sorted according to the probability from high to low; extracting a complete label of a high-probability access page from a historical page pool, extracting a key resource label of a medium-probability access page from the historical page pool, extracting a cache resource label of a low-probability access page from the historical page pool, determining corresponding pre-loaded page data according to the complete label, the key resource label and the cache resource label, and storing the pre-loaded page data in a database; when the user accesses the preloaded page, page display is performed on the user based on the preloaded page data, and the user experience and the use efficiency of the webpage page can be improved.

A flight ticket management server (Server) includes flight ticket records (Records) each associated with a seat on an airline flight. Each Record includes permanent flight ticket swap offer details from a seller of a previously purchased and unused flight ticket. The Server sends Query Messages to seller's computer devices. Each computer device sends an Automatic Response, without human intervention and independent of a user of the computer device, indicating any seller requested changes to local flight ticket swap offer details stored in a local repository in the computer device. The Server generates a web page. The web page displays a) permanent flight ticket swap offer details from the Record, and b) local flight ticket swap offer details from the local repository, and a button that when selected via a browser in the computer device confirms seller's manual selection of a) or b) for current permanent flight ticket swap offer details.

The invention belongs to the technical field of artificial intelligence, and relates to an LSH-based retrieval enhancement generation method and device, equipment and a storage medium thereof. Carrying out serialization processing; sampling processing is carried out through the vector space model, and high-dimensional embedded vector representation is generated; inputting the high-dimensional embedded vector representation into a vector database, and carrying out matching calculation; carrying out binary code valuation conversion on a matching calculation result by adopting an LSH algorithm to obtain binary code values corresponding to all the retrieved texts after conversion; according to the binary code value, an expected retrieved text is screened out; combining and sorting the retrieval input text and the expected retrieved text to generate a to-be-enhanced text; and inputting the text to be enhanced into the text enhancement generator to generate an enhanced retrieval feedback text. The method is applied to webpage search, question and answer systems and recommendation system scenes in the field of financial services or medical services, and a faster and more accurate retrieval feedback result is provided for retrieval personnel.