2499 results about "Web site" 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 invention relates to the technical field of power distribution network source website collaborative planning, and particularly discloses a power distribution network source website collaborative planning method and system considering a V2G mode. The method comprises the following steps: acquiring an existing topological structure of a power distribution network, traffic road network structure data, electric vehicle number space-time distribution data, photovoltaic resource distribution data and a historical daily load power curve set; predicting to obtain a node load power set, a V2G charging and discharging station maximum schedulable power set and a PVG station maximum output power set in various typical day scenes in the future; establishing an upper-layer planning model by taking the minimum total economic cost of the system as a target, and establishing a lower-layer planning model by taking the minimum annual comprehensive operation cost as a target; and solving the bilayer planning model by adopting a nested iterative algorithm, and outputting a power distribution network source website collaborative planning scheme. According to the method, the economical efficiency and reliability of collaborative planning of the power distribution network, the PVG station and the V2G charging and discharging station are improved, the resource utilization efficiency is remarkably improved, and the total economic cost is reduced.

The method and systems for automatically identified currently viewing website domain name or a uniform resource locator (URL), receiving, by the server, said automatically identified website domain name or the uniform resource locator (URL), a request or an invitation for initiating a communication including live chat, puts the request for initiating a communication including live chat from the first user and the second user in a communication including live chat queue of the website or the uniform resource locator (URL) associated account, for available or identified or relevant agents to pick up, routing request or invitation for initiating a communication including live chat from the first user and the second user according to a pre-set rules and start a communication including live chat by available agent by selecting particular request for initiating a communication including live chat from the queued communication including live chats.

A platform for dynamically generating application experiences. The platform comprises a design management system, an agent orchestration system, an analytics system, a model management system, a user management system, and databases for storing design elements and templates. The design management system provides a portal for application owners / designers to create UX / UI designs, allowing them to select design elements from a set of categories or templates. The platform gathers existing websites / applications to identify common design patterns, stored in a design catalogue database, and suggests historical interfaces for design exploration. It enables the generation of templated applications that integrate with legacy systems. The agent orchestration system parses user specifications, selects generative AI systems, and generates UX / UI content based on the specifications. The analytics system collects and analyzes data to provide insights for improving UX / UI design and optimizing website performance. The model management system trains and maintains generative AI models used for content generation.

Machine learning models for autonomously navigating the web and / or apps are provided that receive (i) visual input that includes one or more images representing the current, and optionally one or more prior, visual states of the website or app being navigated, and (ii) textual input that represents a user request to be implemented by the model, the current HTML or other code defining the website or app, and optionally additional text like prior model outputs that represent prior steps in the navigation of the website or app by the model. The visual input and textual input are transformed into respective sets of visual and textual tokens, and this multi-modal token set is applied to an encoder. The output of the encoder is applied to a decoder to generate textual output that represents an action to take, relative to the code defining the website or app, to pursue the user request.

A recommendation system identifies resale goods corresponding to retail goods being viewed by a user on a retail goods website. Retail goods metadata and images are extracted from the retail goods website using heuristics and LLM-based methods. The extracted retail goods data undergoes ML model-based product category classification, intelligent image cropping, and color detection. Vector embeddings are generated for images and text using ML models and compared to resale goods vector embeddings stored in a vector database. Multiple result sets are retrieved, fused, and re-ranked using LLM-based and preference-aware re-ranking. A data pipeline continuously loads, cleans, and processes resale goods inventory from resale goods websites.

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 discloses a website map crawler method and device based on browser rendering, and relates to the computer network technology. The method comprises the steps that a current page of a target website is rendered through a browser rendering engine; after the page rendering is finished, simulating an interactive behavior of a user on the page, monitoring a DOM change event occurring in the page, and capturing a page dynamic path triggered by the interactive behavior of the user; constructing all captured page dynamic paths into an extensible path set of the current page, performing comprehensive priority scoring on each path to be accessed in the extensible path set, performing dynamic sorting on the path priorities according to a scoring result, and taking the path with the high priority as an access entry of next page rendering; and repeating the steps until a task termination condition is met. According to the invention, a set of website subpath capturing system with high coverage rate, high precision and high controllability is constructed.

A system for completing tasks using the web is disclosed. The system is programmed to receive a user query for completing a task in natural language. The system is programmed to generate from the user query a first plan having a first sequence of website action steps using a large language model. Each website action step specifies a website and includes a request for performing an action on a website in natural language or network or software protocol language. To execute a website action step, the system is programmed to generate from a corresponding request a current plan having a current sequence of function action steps using a large language model. Each function action step specifies a function in the website's application programming interface and includes values for parameters of the function. To execute a function action step, the system is programmed to call the function with the parameter value.

The invention discloses a cross-website domain small sample website fingerprint identification method oriented to an onion network. The method comprises a pre-training strategy based on feature alignment and domain adversarial training and a fine tuning strategy based on a double attention module. In the pre-training strategy, a multi-channel matrix traffic representation mode is designed, and rich traffic features are provided; constructing a feature extractor based on a multi-scale convolution structure and a double-attention mechanism, and supporting learning and adaptive weight distribution of different granularity features; and designing a composite loss function fusing classification loss, feature distribution difference loss and domain adversarial loss, and realizing effective feature alignment between the source domain and the target domain. In a fine tuning strategy, a fine tuning strategy based on a double-attention module is adopted, and the rapid adaptive capacity of the model to a new task is improved while the stability of pre-training features is kept. According to the method, even in the face of complex website domain changes, rapid adaptation to a new target domain data set can be achieved by depending on a very small number of samples, and an effective technical basis is provided for anonymous communication network governance practice.

The invention discloses a website AI intelligent risk assessment real-time evasion system and an evasion method thereof. The system comprises a VPN connection module to ensure that data capture is safe and hidden; the data capturing module collects various types of information of a target website in real time; the risk feature extraction module performs multi-dimensional feature extraction; the AI risk analysis and evaluation model identifies risks from multiple aspects of images, scripts and the like and grades the risks; the risk avoiding and warning module executes a hierarchical response strategy according to a result; the feedback and model optimization module collects a feedback and sample optimization model. According to the method, website risk avoidance is realized through the steps of VPN connection, data acquisition, feature extraction, risk assessment, strategy execution, model optimization and the like. According to the method, VPN and artificial intelligence technologies are combined, website risks can be comprehensively evaluated in real time, access strategies are dynamically adjusted, complex network attacks are effectively coped, and user network access safety is guaranteed.

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 techniques disclosed herein enable systems to manage remote file storage systems while bolstering information security through file encryption on download and permissions labels. To achieve this, a site owner configures permissions for a network site that stores files and that enables encryption on download. Various users with file access via the permissions may then interact with the site. When a user downloads a file from the site, they receive an encrypted copy that includes a permissions label that synchronizes with the network site permissions. When a user attempts to interact with an encrypted file the permissions label is used by the system to determine whether the user is authorized to access the file. In addition, permissions that are changed at the network site can be propagated to downloaded encrypted copies. In this way, permissions can be enforced for all site files even when copies leave the network site.

A system and associated method for simplifying and enhancing a customer browsing experience on websites. In an embodiment, the method involves, upon determining that a customer has clicked on a clickable prompt button embedded at a website, in association with a specific product or article, displaying instantaneous product information to the user without requiring the user to type in lengthy requests. In another embodiment, upon determining that a customer has clicked on a clickable prompt button embedded at a website, providing means for enabling the customer to interact with a large language model that is capable of responding with specificity to user questions about products on the websites based on contextual information transparently provided by the clickable prompt buttons.

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 relates to the technical field of electric digital data processing, in particular to a data acquisition method and device based on a large language model and a medium. The method comprises the steps of inputting a target statement into a large language model to obtain a target text output by the large language model, and obtaining a target keyword set of the target statement according to the target text; obtaining a target website list matched with the target keyword set from a preset website library; determining a target crawling time period of the website corresponding to each website and a crawling time step length corresponding to the target crawling time period according to a historical updating moment set of the website corresponding to each website in the target website list; and in the target crawling time period of the specified website, judging whether the data of the specified website is updated or not by taking the crawling time step length corresponding to the target crawling time period of the specified website as a judgment period, and if so, crawling the data from the specified website. According to the method, the data related to the statement input by the user can be comprehensively and effectively collected.

The invention provides an efficient multi-dimensional network penetration testing method based on RAG, which comprises the following steps: firstly, identifying sub-domain names possibly existing in a target website, and sequentially expanding attack surfaces of penetration testing to obtain vulnerability information pairs; secondly, a design model generated based on retrieval enhancement is adopted, vulnerability information pairs are extracted from the queue to be utilized, knowledge items related to local knowledge base retrieval and network intelligent search retrieval are utilized, and finally, a large model generates vulnerability utilization information according to the knowledge items; acquiring target machine permission for the previously acquired vulnerability information pair construction command injector, and further scanning other hosts of the intranet accessed by the target skipping machine; finally, combining vulnerability information obtained by penetration testing, utilizing a large model to sort vulnerabilities existing in different assets, and outputting penetration testing reports for different assets. According to the method and the system, comprehensive penetration testing of cross-network and cross-system is realized, security experts are helped to quickly identify, verify and repair vulnerabilities in a complex and changeable network environment, and high-efficiency and low-cost network security maintenance is realized.

The present technology relates to a computer-implemented method for enhancing enterprise-wide security when using Artificial intelligence (AI) models. Embodiments involve a JavaScript injection process facilitated by a proxy server. This process does not require manual installation as it is automatically injected during operation. The JavaScript injection process operates by intercepting unsecured AI input and output data provided by users interacting with AI websites. The input and output data are sent to a security Application Programming Interface (API) which applies an enterprise security policy to the data in real-time, thereby transforming unsecured input and output into secure data. Embodiments provide a robust framework for safe interaction with Artificial intelligence models while mitigating the risks associated with the transmission of sensitive information over the internet.

The invention relates to the technical field of information retrieval, in particular to a vertical website deep crawling method based on intention recognition, which comprises the following steps: crawling data from a plurality of heterogeneous information sources, and constructing a dynamic knowledge graph; identifying a weak signal association path formed by connecting a plurality of relation edges in the dynamic knowledge graph, and converting the weak signal association path into a to-be-verified risk hypothesis; generating a data acquisition intention, and based on the to-be-verified risk hypothesis, generating a rejection query for searching reverse evidence as a first data acquisition intention; receiving an input query instruction, and performing semantic analysis on the query instruction to generate a second data acquisition intention; a multi-source crawling strategy is generated based on the type of the data collection intention, and the multi-source crawling strategy comprises a plurality of vertical website sources and crawling priorities of the vertical website sources; executing a deep crawling task according to the multi-source crawling strategy to obtain target data; and processing the target data, verifying the to-be-verified risk hypothesis, and judging whether the reverse evidence exists or not and judging the intensity of the reverse evidence.

A modular system designed for privacy-preserving content recognition and supplemental content delivery across web and mobile environments. The system employs lightweight character sampling and vision-based recognition to generate unique content fingerprints without storing or replicating original data. It features a hybrid processing architecture, using local computing resources for intensive tasks while optimizing performance on resource-constrained devices. Core functionalities include multi-method content fingerprinting, real-time monitoring with adaptive sampling, and secure supplemental content association. Operating entirely on the client-side, it complies with website terms of service and privacy regulations. Advanced features include AI-driven content recognition, blockchain-based verification, and granular content targeting through resizable selection interfaces. This technology enables seamless delivery of supplemental content while preserving privacy, reducing resource usage, and ensuring scalability across browsers, mobile applications, and edge devices. It is particularly applicable in industries such as education, retail, and secure data sharing.

The invention provides a Web automatic penetration test method and device, electronic equipment and a storage medium, and belongs to the technical field of website vulnerability tests.The method comprises the steps that a web crawler collects target Web information to form a basic set; detecting vulnerability acquisition information; matching the adaptive script, and generating an intelligent load to verify vulnerability availability; constructing a knowledge graph to determine vulnerability association, and evaluating success rate and risk; planning an optimal attack route by using reinforcement learning, and determining attack depth and range, namely attack path risk features; and evaluating the risk by the dynamic scoring model, and generating a visual report containing detailed information, results and repair and improvement suggestions. According to the automatic penetration testing method, manual intervention is reduced in the whole process, dependence on professional experience is reduced, efficiency is improved, and the problems that traditional testing is tedious and low in efficiency are solved.

Techniques for video processing using artificial intelligence are disclosed. An embedded interface included on a website and / or mobile application is accessed. The embedded interface includes one or more products for sale. A user requests an interaction based on a product for sale. A first video segment including a synthetic human is displayed to the user. The embedded interface collects user input in response to the video segment. One or more classifiers, which can comprise one or more lightweight LLMs, classify the user input, identifying a type of conversation. The user input is routed by a controller to a module which provides instructions to a final LLM. The final LLM creates a response to the interaction with the user, based on the instructions. The response is used to generate a second video segment that is displayed to the user.

The present application discloses a method, system, and computer system for providing real-time detection of malicious URLs based on a machine-learning powered domain risk scoring. The method includes (i) identifying a subset of higher risk websites, wherein the higher risk websites are at risk for potential malware injection or modification, and (ii) in response to identifying the subset of higher risk websites, performing an active measure based at least in part on the identified subset of higher risk websites.

The invention provides a method for constructing and representing a pneumonia time sequence knowledge graph, and belongs to the technical field of big data and knowledge graphs, and the method comprises the steps: firstly obtaining pneumonia related data from a hospital information system, a vertical medicine website and a biomedical information ontology system (BIOS); then, constructing a pneumonia clinical time sequence knowledge graph, and converting serialized text data into the time sequence knowledge graph by combining the obtained data with a time relationship; and then constructing a pneumonia time sequence knowledge graph representation model (CTKGR), finally designing an experiment for verification, and evaluating the performance of the CTKGR model from two aspects of link prediction and medical tasks. Compared with other knowledge graph representation models and text models with excellent performance in clinical text representation, the effectiveness and generalization of the method are verified.

The invention provides a data verification method based on two-dimensional code third-party login and national secret authentication, and the method comprises the steps: obtaining a user identity bill and obtaining a private key password corresponding to the user identity bill by an encryption end when a login request sent by a user end through scanning a login two-dimensional code of a login end is received; the encryption end encrypts the private key password to obtain an encrypted key password, and sends the encrypted key password to the login end; the encryption end determines collaborative signature response data according to the collaborative signature request and the user identity bill and sends the collaborative signature response data to the login end; and the encryption end verifies the complete signature through the verification request, and sends a verification result to the authentication end. By arranging the encryption end, national secret authentication and two-dimensional code third-party login are combined, and the safety of logging in a third-party website when the two-dimensional code is scanned is guaranteed.

A computer-implemented method for identifying brands utilized in website phishing campaigns may include (i) capturing a website screenshot including visual elements representing a potential phishing vulnerability, (ii) transforming, utilizing a deep learning model, the website screenshot into an image representation including embeddings, (iii) determining whether the transformed website screenshot matches a dataset including reference transformed website screenshots representing previously identified brands utilized in phishing campaigns, (iv) clustering, upon determining a mismatch between the transformed website screenshot and the dataset, the transformed website screenshot with other transformed website screenshots sharing the visual elements representing the potential phishing vulnerability and one or more visual similarities, and (v) performing, based on the clustering, a security action that protects against potential phishing attacks by extracting brand information for adding to the dataset. Various other methods, systems, and computer-readable media are also disclosed.

The invention provides an automatic SEO setting system and method in a station building CMS, and belongs to the technical field of station building CMS. According to the method, the AI technology is utilized, the keywords are deeply mined and screened, the keywords with high conversion potential and the long tail keywords are accurately recognized, the real demands of users are insighted, the competition situation of the keywords is intelligently evaluated, and the popularity change is predicted. In the aspect of content creation, a content outline, a first draft and a specific paragraph can be generated according to a target keyword and a user portrait, optimization suggestions can be provided in the aspects of readability, keyword layout and the like, and content personalized recommendation is achieved. Compared with a traditional SEO technology, the method has the advantages that the keyword screening efficiency and the long tail keyword coverage rate are improved, the matching degree of content and user requirements is optimized, ranking and flow of websites in a search engine are improved, and the method is efficient and accurate.

A computer program product and method include operations including accessing HTML code from one or more webpages, tokenizing the HTML code to form one or more HTML tokens, submitting each HTML token to a large language model, and obtaining a token content description for each HTML token from the large language model. The operations further include determining, for each of the one or more webpages, whether to rendered the HTML code on the web browser based on the token content descriptions of the HTML tokens formed for the HTML code from the one or more webpages.

Systems and methods for detecting phishing using image hashing include obtaining a plurality of images from different sources, generating a hash for each image, comparing at least one hash associated with a first image to one or more hashes associated with a second image, calculating a similarity score based on the comparing, and classifying the first image based on the similarity score.

A method and a system for building a knowledge base for industrial use and using the knowledge base to manage and control industrial products, processes, resources and systems. The knowledge base uses semantic processing modules and artificial intelligence tools to enable continuous extraction and entry of knowledge into the knowledge base from various sources including user inputs, operation status reports, manuals, websites, diagnosis reports, sensor data, operation sequence, and other static or ephemeral sources. The knowledge base is supported by a knowledge base management system that includes a suite of tools to support knowledge entry, update, retrieval and visualization using both natural language based queries and structured queries with predefined syntax. The system also provides tools to retrieve and assemble knowledges on-the-fly to support industrial applications including to design products, services or production lines, build production process, manage scheduling and flow, monitor and optimize operations, diagnose issues, apply business logics, procure materials and supplies, manage and train workforce, and provide customer supports.