5943 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.

A computer-implemented method is disclosed. The method includes: identifying, in a graphical user interface, a first user interface element and a second user interface element, the first and second user interface elements being of different types and associated with a first group of user interface elements; receiving, via a keyboard, input of a command to trigger a first interaction with both the first and second user interface elements; determining that the first interaction is not defined for one of the first and second user interface elements; and performing a related action associated with the first interaction to the one of the first and second user interface elements.

A method includes receiving a pointer to a plurality of images of a web page, the web page configured to display the plurality of images in a first arrangement; retrieving, using the pointer, the plurality of images of the web page; executing at least one machine learning model using the plurality of images from the web page as input to generate at least one image performance score for each image of the plurality of images, the at least one machine learning model trained based on a training set of images labeled based at least on interaction data corresponding to images of the training set of images; and rearranging the plurality of images on the web page to a second arrangement according to the at least one image performance score generated for each image of the plurality of images of the web page.

1. The name of the product of this design: the main body of the mobile phone. 2. Purpose of the product of this design: The product as a whole is used for communication, running programs, storing and transmitting data, browsing web pages, taking photos, recording videos, playing audio or video, etc., and the part of the product is the main body of the mobile phone. 3. The key design point of this appearance design product lies in the shape of the solid line part in the figure. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1. 5. Other situations that need to be explained Other explanations: The dotted part in the figure is the content that is not requested for protection.

Techniques for generating personalized content using generative artificial intelligence (AI) are provided. In an example method, a processing device including a personalization module receives an indication that a user interacted with content displayed on a web page. The personalization module receives a set of attributes, comprising information about the user and information about the content, and information about a segment to which the user belongs. The processing module then determines a tuning parameter, wherein the tuning parameter controls the randomness of the output of the generative AI model. The personalization module next inputs to the generative AI model the tuning parameter and a prompt comprising the set of attributes and the information about the segment and subsequently receives personalized content responsive to the tuning parameter and the prompt. The personalization module can then display the personalized content in a dynamic content field associated with the content.

Implementations relate to a drafting assistant that assists users in generating prompts for a language model that generates responses for text boxes for a web page. Implementations may receive a prompt from a user regarding an input for the text box, generate a modified prompt by incorporating contextual information identified from the web page, and provide the modified prompt to a generative language model, which generates a response for the modified prompt. The response is presented to the user and can be used as the input for the text box. Implementations dynamically engineer / enhance prompts based on the context of the web page, thereby facilitating more accurate and relevant responses from the generative language model.

The invention relates to the technical field of visual rendering, and provides a three-dimensional data visual rendering method and a visual rendering engine system.The method comprises the steps that space segmentation processing is conducted on three-dimensional model data to be rendered through the LOD technology to generate block slice data with different geometric detail levels, organizing the block slice data through a tree structure with a spatial relationship, and outputting the tree structure as an index file; the method comprises the following steps: adaptively screening block and slice data of different levels of detail based on a user vision field range, storing the block and slice data into a rendering request queue, querying block and slice data to be rendered from the rendering request queue according to index codes of the block and slice data, and updating a layer browser database; according to the method, to-be-rendered block slice data are downloaded and analyzed in parallel in batches in a separated collaborative operation mode, and a rendering task is executed according to a data analysis result, so that the rendering scheduling frame rate is remarkably improved, and rapid visualization of urban mass three-dimensional slice data at a webpage end is realized.

A method includes storing at least one image performance score for each of a set of images, the set of images comprising a plurality of subsets of images, each subset corresponding with a different web page of a plurality of web pages, the at least one image performance score for an image indicating a likelihood that a user will interact with the image; determining a web page score for each of the plurality of web pages based on one or more image performance scores of the subset of images that corresponds with the web page; receiving a query comprising one or more keywords or images; selecting a set of web pages by applying a search engine machine learning model to the one or more keywords and the web page score for each of the plurality of web pages; and presenting the set of web pages at a computing device.

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 relates to a network attack tracing method, system and device based on a user portrait, and a medium. The attack tracing method comprises the following steps: collecting interactive behavior data of a user in a Web page; performing compression and serialization processing on the interaction behavior data to generate a structured interaction log file; collecting fingerprint data of the user terminal and performing standardization processing to generate a fingerprint feature vector; based on the structured interaction log file and the fingerprint feature vector, generating a user unique identifier containing a risk level tag; performing clustering analysis on the interaction behavior data according to the unique identifier of the user, identifying an abnormal behavior mode of the abnormal user and marking an attack type; acquiring a public network IP address of an abnormal user, and positioning a geographic position in combination with an IP database; and constructing an attack traceability report based on the user unique identifier of the abnormal user, the abnormal behavior mode, the public network IP address and the geographic position. According to the invention, the user portrait can be accurately constructed, and the network attack behavior can be effectively identified and traced.

The invention relates to the field of knowledge graph construction, in particular to a policy knowledge graph construction method and system based on digital human interaction data analysis. The policy knowledge graph construction system based on digital human interaction data analysis comprises a knowledge graph preliminary construction module, a first graph updating module, a second graph updating module and a digital human interaction module. According to the method, the policy source webpage content change is monitored in real time, and the question information in the digital human interaction data is deeply mined, so that the full-life-cycle dynamic maintenance of the policy knowledge graph is realized; on one hand, a webpage policy updating event is accurately captured, and knowledge injection is automatically completed in combination with a semantic unit matching algorithm; and on the other hand, the conflict characteristics questioned by the user in the interaction data are extracted through dialogue semantic analysis, atlas correction is triggered after confidence assessment and multi-stage verification, it is ensured that the end-to-end timeliness from policy release to user perception is controlled within a reasonable period, and the policy response accuracy of the digital human service is remarkably improved.

The invention relates to the field of enterprise process automation, in particular to a multi-mode Action Transform model and an intelligent task execution method thereof. The technical problems that in an existing Web page operation automation technology, flexibility and adaptability are insufficient, generalization ability is weak, context understanding ability is limited, multi-modal information integration is insufficient, and data utilization efficiency is low are solved. According to the technical scheme, the multi-modal Action Transform model and the intelligent task execution method thereof comprise a multi-modal input processing module, a multi-modal fusion module, a Transform encoder and an operation prediction module; according to the method, various inputs such as images, texts and DOM structures are processed at the same time, the fault-tolerant ability and adaptability to page changes are improved, the long-range dependency relationship in the operation sequence can be effectively captured and utilized through the attention mechanism, and deep fusion of various modal information such as the images, the texts and the DOM structures is achieved through the attention mechanism and the feature fusion layer.

The invention provides a WEB browsing real-time rendering method and system based on distributed rendering, and relates to the technical field of distributed rendering, and the method comprises the following steps: receiving a rendering request from a user terminal browser, obtaining page data of a target webpage according to the rendering request, preprocessing the page data, analyzing the preprocessed page data, and displaying the analyzed page data. Obtaining a DOM tree structure and a CSSOM tree structure of the page, and constructing a rendering tree adaptive to the user terminal according to the DOM tree structure, the CSSOM tree structure and the equipment parameters; dividing the rendering tree into a plurality of sub-rendering trees, transmitting sub-rendering results generated by the plurality of distributed rendering nodes to a synthesis service node, performing image compression, transmitting the compressed rendering result data to a user terminal browser, receiving and decompressing the rendering result data in the user terminal browser to obtain a rendering result bitmap, and displaying the rendering result bitmap in the synthesis service node. And displaying the information to the user for real-time interactive browsing of the user.

The invention relates to the technical field of data processing, in particular to a knowledge graph construction method for multi-source heterogeneous data of power transformation main equipment and a related system.The method comprises the steps that multi-source heterogeneous data collection is carried out, and for structured database data, a database connection tool is adopted, and needed data is obtained by writing SQL query statements; analyzing the semi-structured data by using a corresponding analysis library to extract key information, and converting the key information into a structured data format; for unstructured text data and webpage data, a natural language processing technology and a web crawler technology are adopted; according to the knowledge graph construction method for the multi-source heterogeneous data of the power transformation main equipment, the data utilization rate is increased, and the data can be enhanced and supplemented by introducing a data enhancement algorithm in secondary data processing.

A system and method for chatbot and search engine integration comprising traversing a conversational flow of a chatbot, generating a data structure based on the conversational flow, embedding the data structure in a webpage, and directing a search engine to the webpage for the search engine to assign a webpage rank to the data structure. In some embodiments, this integration may allow search engine users to be redirected to a non-public website hosting the chatbot when that chatbot would not otherwise be identified by the search engine.

The invention discloses an in-tunnel construction vehicle meeting scheduling system based on positioning equipment. The system comprises a basic service module which is used for storing basic data for business service analysis in an acquisition and collection mode; the business service module is used for carrying out detailed analysis of the corresponding service through the data acquired by the basic service, and providing an analysis result to the display end for display; and the display end module is used for displaying the analysis result of the business service module, wherein the display modes comprise a mobile phone APP, a webpage large screen, an LED panel, a tunnel loudspeaker and a tunnel traffic light. The system carries out weight grading on vehicle and personnel positioning labels by standardizing a tunnel construction process, and integrates data of avoidance points of a transverse tunnel. And in combination with an intelligent technology, efficient vehicle meeting scheduling, intelligent construction path planning and avoidance point path planning of the construction area are realized.

Embodiments provide for responsive optimization of websites. In some examples, a layout graph data structure is generated based on applying a trained layout model to extracted website elements from an input object including one or more website building tools. A webpage layout data structure is generated based on applying a trained structure optimization model to the layout graph data structure. An optimized webpage that is configured to render according to a plurality of screen parameters is generated based on applying a trained responsive optimization model to the webpage layout data structure and a plurality of screen parameters.

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 agent-based webpage information processing method, device and equipment and a medium. And distributing the data to a capturing agent to obtain webpage original data. According to the method, model context information is generated by extracting webpage source information and release time information, page structure representation is constructed, key information nodes are positioned, structured data are generated, then multi-scene decision data are generated in combination with the structured data and the model context information in the analysis process, and a decision result is output through a decision reasoning module. By constructing a uniform data processing flow, webpage capture, context generation, structured analysis, analysis processing and decision reasoning are organically linked, efficient acquisition and intelligent processing of webpage information are realized, and timeliness and accuracy of decision are improved.

The invention provides a text information structured recovery method and system based on a large language model and application. The text information structured recovery method comprises the following steps: S1, extracting original text content from a webpage or an unstructured document; s2, designing a cue word template according to different scenes and target structures, and generating cue words; s3, guiding a large language model to analyze the original text content and the cue word in the step S2, and generating a text result with a hierarchical structure; s4, analyzing a text result in the step S3, constructing a semantic structure tree, and forming a multi-layer nested structure; and S5, applying the multi-layer nested structure in the step S4 to database modeling and content indexing, compared with the defects of non-uniform structure loss, poor universality and semantic understanding intelligence deficiency in the prior art, the manual processing cost can be remarkably reduced, the data structuring efficiency and accuracy are improved, and the semantic understanding intellectuality is improved. And a stable and high-quality structured text support is provided for a large model ecological system.

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 invention discloses a webpage generation method and device, electronic equipment and a storage medium, and relates to the technical field of computer software or other related fields, the method comprises the following steps: receiving demand information of a user for an expected webpage, and inputting the demand information into a target language model to obtain N pieces of component information in the expected webpage, N being a positive integer; retrieving a target database based on the N pieces of component information to obtain a retrieval result; inputting fusion demand information of the retrieval result and the demand information into the target language model to obtain a configuration code which is used for describing the page layout, the component attribute and the application logic of the expected webpage; and analyzing the configuration code to obtain a corresponding source code, and rendering the page based on the source code to obtain a target webpage corresponding to the expected webpage. According to the method and the device, the technical problem that the generated webpage does not accord with the intention of the user due to understanding limitation of a low-code platform fused with a large language model in related technologies is solved.

The invention discloses a method and a system for intelligently acquiring and analyzing webpage merchant information. Automatic acquisition of the merchant information is realized through five main steps of intelligent webpage capture, intelligent field identification, accurate address information analysis, intelligent merchant grouping and automatic page discovery. According to the method, a traditional rule-based extraction method is abandoned, information such as merchant names, phone numbers and addresses in webpages is automatically recognized by using context semantic analysis and mode recognition technologies, and accurate association grouping of fields is realized through a dynamic weight multi-dimensional similarity calculation method; and the merchant information can be continuously discovered and collected by using an automatic page discovery mechanism without manually specifying a collection path. The technical bottlenecks that specific rules need to be written for different websites, webpage structure changes are difficult to deal with, multi-merchant information grouping cannot be processed and the like in a traditional method are broken through, the method adapts to various webpage structure changes, and the automation degree, accuracy and efficiency of merchant information collection are greatly improved.

The invention discloses a multi-modal model-based RPA element anchor point automatic searching method. The method comprises the following steps of S1, acquiring coordinates, text information and regional screenshots of target elements and candidate anchor point elements in a webpage; s2, according to the area screenshot, obtaining element categories of target elements and candidate anchor point elements through a target detection model; s3, inputting the coordinates, the text information, the regional screenshots and the element categories of the target elements and the candidate anchor point elements into a multi-modal model, performing vector conversion, vector alignment, element distinguishing, element attention and element judgment by utilizing the multi-modal model, and detecting and determining the target anchor point elements; s4, recording a relative relation between the target element and the anchor point element, wherein the relative relation is used for positioning the target element when the robot process automatically runs; the anchor point elements of the webpage are dynamically recognized through the webpage screenshot, the element coordinates and the element types, and the method has the advantages of being wide in application range and reliable in recognition.

The invention discloses a large-model-driven Web task automatic execution method and system, and relates to the field of artificial intelligence. According to the method, Web page content is perceived and analyzed through a large model, a state-action graph is constructed and maintained, a task sequence library is stored and managed, and semantic matching and automatic task execution are carried out. According to the method, the problems of high manual intervention requirement and low task processing efficiency in traditional Web task automation are solved, and the technical effects of remarkably improving the automation level, enhancing the intelligent decision-making capability, perfecting a knowledge memory mechanism and efficiently executing are achieved.

A website development system automatically generates text for a webpage. The system obtains a prompt template associated with a section of the webpage, where the prompt template includes one or more parameters. Based on the webpage, the prompt template determines a first value for a first one of the one or more parameters. A request to provide input for a second value of a second parameter is sent for display to a user. Using the prompt template, the first value, and the second value, the system generates a prompt to a large language model to generate text for the section of the webpage.

The invention relates to a marketing webpage dynamic content identification and tampering detection method based on multi-modal fusion. The method comprises the following steps: S1, obtaining page snapshots of the same page reported by channel merchants at multiple times; s2, key features and descriptors are taken from the page snapshots, matching is carried out, and a dynamic feature set is obtained; s3, generating a page snapshot only containing static content according to the position of the dynamic feature in the state feature set; s4, inputting the page snapshots only containing the static content into the visual feature extraction network, the structural feature extraction network and the semantic feature extraction network to obtain page feature representation; and S5, inputting the page feature representation into a tampering detection model, and visualizing a tampering detection result. Compared with the prior art, the method has the advantages of reducing false alarms of dynamic elements, improving the accuracy of tampering detection and the like.

A system and method are configured to receive a pre-trained large learning model via the network interface, access user data stored locally, train the pre-trained large learning model using the locally stored user data to provide an enhanced local large learning model, detect that a browser hosted by the computer system is accessing a webpage, identify a webpage space configured to receive third-party content, examine the webpage to determine if content provided by the enhanced, local large learning model may be rendered at the webpage space, and causing content generated or selected by the enhanced, local large learning model to be rendered at the webpage space. The enhanced local large learning model may comprise a neural network.

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 relates to an artificial intelligence assistant injection method and device, equipment and a computer readable medium. The method comprises the steps that page detection is conducted through a browser plug-in included in a system, key feature information of a page is recognized, and the browser plug-in is constructed based on a standardized API set; acquiring context information of the user in the current service according to the key feature information; injecting an artificial intelligence assistant into the current webpage according to the monitoring state of the browser plug-in, and isolating a user interface component of the artificial intelligence assistant from a main information position of the current webpage based on an isolation container; and obtaining a user access request, and querying the context information of the current service and the historical access data of the user through the artificial intelligence assistant to respond to the user access request. According to the method and the device, the technical problems of high integration difficulty and high cost of enterprise-level software in integration of large model capability are solved.

The invention relates to a data acquisition method and device based on an Internet of Things gateway and computer equipment. The method comprises the steps that configuration information from a configuration module is acquired, the configuration module comprises at least one of configuration software and a configuration webpage, and the configuration information comprises PLC communication configuration parameters and variable data point locations; determining communication connection between the Internet of Things gateway and the target PLC equipment according to the PLC communication configuration parameters, taking the matched variable data point locations as the same group of variable data point locations, and collecting PLC data of the target PLC equipment according to each group of variable data point locations to obtain a PLC data set corresponding to each group of variable data point locations; and determining target PLC data to be uploaded in each PLC data set, and uploading the target PLC data to a target Internet of Things platform in communication connection with the Internet of Things gateway. By adopting the method, the Internet of Things gateway can be adaptively configured so as to efficiently realize the acquisition and transmission process of the PLC data.