3490 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 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 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 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 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.

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 controllable text generation method, device and equipment, and the method comprises the steps: obtaining an input text, segmenting the input text, and obtaining a plurality of input words; inputting an input word into the trained vertical classifier, and outputting a category probability corresponding to the input word; constructing a word-level attribute graph according to all the input words and the category probability corresponding to each input word; processing the word-level attribute graph by utilizing a webpage ranking algorithm to obtain a target keyword; generating a semantic-level attribute graph according to the attribute graph generation prompt; determining a target combination prompt according to the input text, the original prompt, the target keyword, the context information and the semantic-level attribute graph; and inputting the target combination prompt into the large language model, processing the target combination prompt by the large language model, and outputting a controllable text. The word-level attribute graph and the semantic-level attribute graph are combined to guide the large model to better understand the input text, so that the high-quality response is generated, and the controllable generation of the vertical drive is realized.

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 present disclosure relates to systems, non-transitory computer-readable media, and methods for capturing snapshots of digital content displayed on a client device and searching through the captured content. The disclosed systems provide a search function for effectively traveling back in time to identify digital content previously displayed on a client device. The disclosed systems provide options for capturing snapshots of content displayed on a display screen, extracting data from the snapshots, and storing the snapshots for use when populating search results. The disclosed systems utilize machine learning models to extract text and / or to generate text versions of snapshots including extracted text, descriptions of images, transcripts of videos, and / or textual summaries from displayed documents or webpages. In response to a search query, the disclosed systems can produce search results that include digital videos including captured snapshots of content displayed by a client device over time.

The invention discloses a data intelligent interaction enhancement query method and system based on a large model. The method comprises the steps that S1, a user inputs a query problem through a webpage interface; s2, determining a target data table in the candidate data tables, and obtaining table structure and attribute information; s3, the query problem is rewritten; s4, acquiring a question and SQL statement pair set of which the similarity ranks top k with the query question; s5, filling a first cue word template with the rewritten query problem, the table structure and attribute of the target data table, the problem and the SQL statement, and inputting the first cue word template into a large language model to generate a target query statement; s6, executing query in the corresponding data source according to the target query statement to obtain a target query result; and S7, filling the target query result and the query question into a second cue word template, inputting the target query result and the query question into the large language model, generating a query result in a natural language form, and returning the query result to the user. According to the invention, the performance and practicability of the interactive data query system are remarkably improved.

The invention relates to a large model agent configuration leakage vulnerability detection method and device, and the method comprises the steps: carrying out the tool pre-configuration according to the characteristic information of an online agent store, so as to generate tool pre-configuration information; respectively generating corresponding initial attack seeds for the cue word, the application programming interface and the knowledge base file leakage vulnerability; applying at least one variation strategy to the initial attack seed to bypass external and internal defense strategies of the intelligent agent, and determining a cue word after variation; interacting with the target web page by utilizing a preset automation framework to obtain the output of the intelligent agent; and detecting whether the output of the intelligent agent leaks the corresponding configuration or not by using the preset fine-tuned large model to obtain a detection result of the leakage vulnerability of the intelligent agent configuration of the large model. Therefore, the problems that existing work lacks an automatic detection mechanism for an online agent store, and lacks research and detection on leakage vulnerabilities of cue words, APIs and knowledge base files are solved.

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.

An offline collection system comprises a pipeline for storing metadata of user interface (UI) elements at web pages of a web application. The pipeline comprises crawling uniform resource locators (URLs) of web pages of the web application for content and rendering screenshots of the web pages. The pipeline then prompts a multimodal large language model (LLM) to generate database entries for the web pages comprising UI element metadata derived from the crawled content and rendered screenshots. A response system receives user queries to navigate the web application and augments prompts to an LLM to respond to the user queries with metadata of UI elements relevant to the user queries stored by the offline collection system.

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

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

The invention discloses 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 embodiment of the invention provides a cross-modal data search method and device based on Surreal DB. The method comprises the steps that multi-modal data input by a user at a data query interface is received, and the multi-modal data comprises text, picture, audio, video, webpage and document data; the method comprises the following steps: converting audio, video, webpage and document data into texts and pictures, performing keyword extraction on the texts to obtain text cues, and performing vectorization processing on the texts and the pictures to obtain query vectors; performing full-text retrieval on the text cue word based on a Surreal DB database to obtain a text search result, and performing vector retrieval on the query vector to obtain a vector search result; reordering the text search result and the vector search result by using a ranking-based search result fusion algorithm, and outputting a preliminary search result; and performing associated query on the preliminary retrieval result to obtain associated data.

Some embodiments described herein relate to computer implemented methods and / or memory (e.g., a non-transitory, processor-readable medium) storing code configured to be executed by a processor to cause the processor to perform the method. The method can include training a first transformer with a plurality of website visitation records to predict a missing website in a sequence of websites. The first transformer can include a foundation model and a first prediction head. A second transformer model can be trained with a plurality of conversion event data to predict a probability of a conversion event occurring. The second transformer model can include the foundation model and a second prediction head.

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.