1778 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.

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 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.

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 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.

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 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.

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 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.

The invention relates to the technical field of computer software testing, in particular to an AI-based webpage background automatic testing method and system.The method comprises the steps that a target webpage address, a login account and test target description input by a user are obtained, a decryption password corresponding to the login account is read from an encryption database, and meanwhile a browser driver is initialized; accessing a target webpage, adjusting a view to ensure that the webpage is completely displayed, monitoring a loading state, and retrying or reporting an error if loading is overtime; detecting a webpage login area, automatically filling an account password, and detecting a login state; matching functional navigation according to the test target description, if the functional navigation is not found, rolling a navigation view to unfold hidden items, and skipping to a target page after a target menu is positioned; according to the method, the target page data is collected, the target page data is analyzed through the multi-mode AI model in combination with the test target description, and the test report is generated. The method does not need scripts, adapts to page changes, is high in flexibility, and reduces the test cost and improves the test efficiency through AI visual judgment.

A web page embeds an AI-driven widget that converts static content into an interactive experience. Executable code builds a page interaction index from the page's DOM, including text, selectors, and positional metrics for DOM nodes. In response to natural-language input, pipelines perform summarization, stepwise explanations, voice-guided form completion with rule-based validation, and on-page product scanning to create a dynamic, user-tunable comparison table. Results are rendered as in-place overlays with interactive back-references that highlight source DOM nodes in the viewport. Speech recognition and text-to-speech enable multimodal interaction. Optional privacy gating redacts sensitive data or routes processing to local models. The system improves webpage usability by binding AI outputs to precise DOM regions and providing unified, context-aware assistance within the page.

The invention discloses a webpage vulnerability identification method and device, electronic equipment and a program product, and relates to the technical field of artificial intelligence, and the identification method comprises the following steps: obtaining a page structure and interface information of a target page; performing feature extraction on the page structure to obtain a target vector, converting the interface information into a text sequence, and performing feature extraction on the text sequence to generate an interface semantic feature vector; the target vector and the interface semantic feature vector are input into a preset multi-modal model, a vulnerability attack request is generated, and the vulnerability attack request corresponds to response data; and performing semantic recognition on the response data by adopting a preset language model to obtain a vulnerability recognition result of the target page. According to the invention, the technical problem of low vulnerability identification accuracy in related technologies is solved.

The invention discloses a standardized product deployment operation and maintenance method based on an off-line environment, computer equipment and a computer readable storage medium, and the method comprises the steps: S1, executing a one-key initialization process, rapidly building a visual platform with an Ansible Semaphore as a core through an off-line medium and an automatic script, and achieving zero-threshold starting; s2, a visual deployment process is executed, deployment is completed in a visual mode at an Ansible Semaphore webpage end on the basis of a platform built by a one-key initialization process, and a multi-scene Ansible Playbook is built in the platform; s3, a visual operation and maintenance process is executed, a'modular script visual platform 'is taken as a core, a monitoring alarm scene, a log query scene, a component upgrading scene and a version rollback scene are covered, and all operations are based on offline preset resources; and S4, executing a visual publishing process, and adopting a closed-loop system in which an offline medium is taken as a carrier, canary publishing is taken as verification and rolling updating is taken as execution, so as to ensure that services are published without interruption in an offline environment.

Systems and methods are described for processing contract documents. In an example, an application can identify text in an image-based data file that contains text of a contract. The application can segment text in the document into smaller units. The application can then create vector embeddings for each unit and feed the vector embeddings into a first large language model (“LLM”) that classifies each unit. Based on the classification, the application can retrieve a prompt template for each unit and feed the vector embeddings with their corresponding prompt into a second LLM. The second LLM can extract specific data from each unit based on the prompt template. The output from the second LLM can then be converted into a useable format, such as a web page or passed to another system.

The invention discloses a reverse traceability method based on a V8 call stack, which realizes real-time tracking and accurate attribution of illegal cookie writing behaviors in a real webpage, and can know which scripts or functions participate in illegal writing of each cookie field. In this way, the third-party website or the first-party website should be responsible for the violation behavior. The traceability framework can run on a real website, and the accuracy of data dependence tracking and the stability of reverse traceability are greatly improved through innovative DFG construction logic. According to the method, the dynamic data flow relation can be truly reflected by the DFG, a reliable data flow diagram DFG is provided for subsequent reverse tracking, the situation that the traceability result is incomplete or interrupted due to DFG defects is avoided, and accurate extraction of data sources of illegal cookies is further supported. Through attribute setter monitoring innovation of a V8 engine layer, comprehensive capture of violation cookie assignment operation is realized, and complete initial data support is provided for a traceability chain.

Techniques for implementing and utilizing overlay-based heatmaps for dynamic graphical user interfaces are described. A heatmap service obtains event data associated with interaction events originated from users utilizing a graphical user interface (GUI) of an application. The interaction events are correlated with identifiers of the associated GUI element for which the interaction events correspond to. This data is used to generate dynamic heatmaps, via an overlay on top of a webpage, that place heatmap visualization elements on top of the corresponding GUI elements.

An augmented reality headset, with an eye tracking device, and a secondary user input device, such as, a brain wave sensor detecting the user's brain waves, a microphone detecting user sounds, or finger recognition sensor, or facial recognition sensor detecting facial gestures. When entering an elevator, the user views elevator input icons, displayed in mid-air. The user gazes at, an elevator floor icon, a cursor follows the gaze to the icon. The user thinks click, or says enter, or finger gestures, or facial gestures, which activates the icon. The activated floor icon, directs the elevator, to move to the floor. The input icons can be associated with activating, an internet web page, or a public device, wirelessly connected to the glasses, like, a multi-user door opener. The touch-free operation, enables the user to avoid bacteria, that may be on physical touch input buttons, of the public door opener.

The invention discloses an automatic form filling method, which comprises the following steps of: by defining a target field set, carrying out standardized preprocessing on to-be-filled information of a user and related materials to obtain a user standardized information key value pair; a target webpage is accessed, in the access process, a DOM tree structure and a complete visual image of the target webpage are obtained, the DOM tree structure and the complete visual image of the target webpage are input into the multi-modal large model to be analyzed, and a multi-modal feature vector is obtained; based on the multi-modal feature vector, identifying interactive elements in the target webpage to obtain an interactive element set; semantic matching is carried out through attributes of interactive elements and unique keys of user standardized information key value pairs, a mapping relation is established, and an interactive element set belonging to a target field set is screened out; and defining an automatic processing step sequence set, traversing the automatic processing step sequence set, and executing an automatic filling operation.

The invention provides a PowerPoint data processing method and device, equipment and a medium, and relates to the technical field of artificial intelligence, in particular to the technical fields of intelligent documents, webpage development, deep learning and the like. The method comprises the steps of obtaining presentation data based on a preset structured format, wherein the presentation data comprises respective structured description information of a plurality of presentation elements; converting the PowerPoint data into a page description format supported by a webpage editing environment to obtain initial page description data; drawing a plurality of presentation file elements in a webpage editing environment; in response to the detected target operation on the multiple presentation file elements, obtaining target page description data of the webpage editing environment after the target operation is described; comparing the target page description data with the initial page description data to determine an editing intention; based on the editing intention, determining a change instruction which conforms to a preset structured format and aims at the presentation file data; and updating the PowerPoint data by using the change instruction.

A method includes instructing a computing device of a user to determine when a webpage is loaded via a web browser; where the web browser includes at least one of: a plug-in or an extension associated with the provider server associated with a first entity; where the plug-in or the extension is configured to request and receive a unique schema-specific identifier from the provider server; instructing the computing device to determine that the webpage is a particular webpage based on a determination that the webpage includes at least one field to be populated with user information; determining that the particular webpage is associated with a look-alike domain name based on: comparing a domain name of the particular webpage with at least one domain name of at least one second entity associated with at least one previously used unique schema-specific identifier associated with the user or at least one other user.

A system and method of controlling access to a webpage is provided. A plurality of webpages are crawled respectively at a plurality of network addresses on a network. A plurality of images of the plurality of webpages are captured. A plurality of identifiers are determined based on the plurality of images and the plurality of network addresses. A particular webpage at a particular network address is detected, and it is determined that the particular webpage includes a mechanism for user data extraction. A particular image of the particular webpage is captured responsive to the determining that the particular webpage includes the mechanism for user data extraction. A particular identifier is determined based on the particular image and the particular network address. The particular identifier is compared to the plurality of identifiers, and access by a particular computing device to the particular webpage is controlled based on the comparing.

This invention relates to a method and system as a branded club product (goods and services) discounting membership, universal club membership technology, hardware infrastructure, operational and software corporate team amalgamation, seller and buyer critical mass, essential implementation and real-time operational approach to integrate internet e-commerce at displayed web pages, of initially hundreds and eventually thousands of sellers, electronically and operationally, launching and igniting a whole new generation of advertising, buying and selling.

The invention discloses an industrial control vulnerability knowledge graph completion method based on negative sample generation, and the method comprises five modules: a vulnerability data crawling module, a named entity recognition module, a graph construction module, a sample enhancement module and a knowledge reasoning module. The vulnerability data crawling module crawls unstructured vulnerability information from a webpage; the named entity recognition module performs keyword extraction on the obtained vulnerability description information; the graph construction module combines the keywords extracted by the named entity recognition module with the information obtained in the data crawling module to construct a vulnerability graph; the sample enhancement module optimizes a data sampling process by applying a sample enhancement method based on sub-sampling, and performs information aggregation on each node of the obtained atlas according to a neighbor relation and attribute information; and finally, dynamically calculating the influence of the head entity on the tail entity by the knowledge reasoning module, and realizing graph completion according to the embedding calculation distance of the node and the relationship. According to the method, the problem of data sparsity in the vulnerability knowledge graph is solved.