431 results about "Web content" patented technology

A computer-implemented method is disclosed. The method includes: obtaining web content of a webpage; determining whether the web content complies with defined first requirements for user accessibility; in response to determining that the web content does not comply with the first requirements: identifying non-compliant web content elements of the webpage; and presenting, via a user interface of a source code editor: indications of first portions of source code for the webpage corresponding to the non-compliant web content elements; and a user interface element representing an action for altering one or more of the non-compliant web content elements.

A web browsing application can implement a vector database to store session data. A web browsing application can automatically embed loaded web content into an embedded data store that maintains session data for a number of web sessions. A user can query the web browser using simple instructions. The web browser can interpret the instructions and use the embedded data store to quickly search across multiple modalities of embedded data to retrieve relevant results. The web browser can use machine-learned models to answer queries or perform other tasks by performing vector-based queries over the content of visited web data.

The invention discloses a network content propagation method and system based on fusion of cognitive understanding and intelligent governance, and the method comprises the steps: constructing a sub-graph network of each mode, and generating cross-modal feature graph representation; performing topic modeling on texts in the text knowledge base, extracting potential topic words, and constructing an event graph; nodes related to the hot spots are retrieved from the event atlas, a hot spot mode is formed, content features similar to the hot spot mode are matched in cross-modal feature graph representation, and potential hot spot content is recognized; constructing a cross-modal content graph, learning an abnormal mode by using the labeled abnormal data, training an abnormal detection model according to the abnormal mode, and identifying abnormal content in the cross-modal content graph; predicting a content propagation link of the hot content and the abnormal content; by adjusting the weight of the key node in the content propagation link, the content delivery time, the content delivery position and the target audience are determined. According to the method and the device, the accurate personalized recommendation and the maximization of the propagation effect are realized.

A method for analyzing Web content includes receiving a request to validate accessibility compliance of a target User Interface (UI) component in the Web content. In response to the request, executable code is run, including (i) simulating dynamic user interaction with the target UI component, (ii) monitoring a reaction of the target UI component to the simulated user interaction, and (iii) validating the accessibility compliance of the target UI component based on the reaction to the simulated dynamic user interaction.

The invention relates to the technical field of intelligent route generation, in particular to a multi-modal large model-based route generation method and system and a storage medium, and the multi-modal large model-based route generation method provided by the invention comprises the following steps: extracting target information corresponding to an obtained webpage link; a target webpage corresponding to the webpage link comprises tourism information of at least two geographic points; determining description information and geographic information corresponding to all target geographic points in the target information based on a multi-modal large model; performing structured processing on the description information and the geographic information of all the target geographic points to obtain structured information; and automatically generating an editable route according to the structured information based on the multi-modal large model, and generating a route text representation and / or a route audio representation of the editable route. The webpage content corresponding to the webpage link is extracted and processed through the multi-modal large model, so that the tourism route of the place where the user wants to go is made by directly utilizing the tourism strategy on the platform.

The invention relates to the technical field of network content security, network space security and the like, and discloses a self-adaptive multi-mode false message detection method and model based on double features, which are realized by adopting the self-adaptive multi-mode false message detection model based on the double features. The self-adaptive tweet processing module is used for obtaining natural language content, visual content and mark information of a tweet; the data enhancement module obtains natural language content of the tweet and inputs the natural language content into a large language model of the data enhancement module to rewrite the text; the multi-modal feature construction module is used for obtaining multi-modal mode features and fact features; the false message detection module combines a multi-expert network aggregation tweet feature containing a gating network to realize classification of false messages, finally achieves the beneficial effect of accurately performing false message detection, and aims at improving the accuracy of an existing false message detection method in a real scene.

A system and method for improving traffic of a webpage is presented. The method includes receiving a first plurality of activity records respective of a webpage, the webpage including a plurality of content objects, each content object including a markup language code; generating a first metric value based on the first plurality of activity records; generating an alternative webpage based on the plurality of content objects; generating a second metric value based on a second plurality of activity records respective of the alternative webpage; generating a second alternative webpage in response to determining that the second metric value is lower than the first metric value; and replacing the webpage with the alternative webpage, in response to determining that the second metric value is higher than the first metric value.

Methods and systems for annotating and assessing content, including QR codes, using a web page investigator to avoid dangerous scans of such content are described herein. A security module executing on a client device may receive a request for web content. A computer vision model may then scan the requested web content to identify and annotate graphical features on the webpage prior to rendering the web content on a display of the client device. The computer vision model may identify a QR code and transmit information encoded within the QR code to a server executing a phishing and content protection (PCP) engine for analysis. When the identified QR code is indicated to be malicious, the client device may render a modified version of the requested web content to discourage the user from scanning the identified QR code.

A method for secure detection of online fraud. The method includes generating an encrypted profile representing browser activity, sending the encrypted profile to a secure multiparty computation system, receiving a trust token from the secure multiparty computation system, based on a determination that the web browser is not engaged in online fraud, sending a request to redeem the trust token with the secure multiparty computation system, receiving an encrypted record of redemption from the secure multiparty computation system based on a determination that a web site associated with the web content is not blocked, and sending a request, containing the encrypted record of redemption, for third-party content, wherein the third-party content is associated with the web content.

The invention relates to an AI generated video detection method and system fusing global and inter-frame semantics, and belongs to the technical field of artificial intelligence, computer vision and multimedia security. The method comprises the following steps: extracting advanced semantic features of a video frame by using a pre-trained CLIP model; modeling a video overall semantic distribution and narrative structure by adopting a Transform structure through a global semantic branch; capturing inter-frame local semantic mutation in parallel through an inter-frame semantic consistency branch by adopting BiLSTM and an attention mechanism; and finally, carrying out adaptive weighted fusion on discrimination results of the two branches through a dynamic fusion module, and outputting a final detection probability. According to the method, videos generated by multiple generation technologies such as GAN, a diffusion model and Sora can be effectively recognized from the high-level semantic dimension, and the method has high robustness to interference such as video compression and fuzziness and cross-model generalization ability and is suitable for actual scenes such as network content auditing and media evidence obtaining.

The system (100) introduces a novel approach to multimedia analysis and website optimization. It utilizes a custom neural network architecture and evaluates diverse multimedia elements on websites for quality and contextual relevance. The system (100) uses advanced Natural Language Processing (NLP) techniques and sentiment analysis for analysis of textual and audial content. DRAM features dynamic adaptation to evolving web content standards and employs predictive cross-browser compatibility testing for proactive issue identification. The system (100) integrates semantic -visual analysis, employing a proprietary matrix of similarity and visual feature extraction for comprehensive content assessment. The system (100) also uses real-time benchmarking, user feedback loops, and a proprietary scoring system for immediate and accurate evaluations of website relevance and effectiveness.

A method and a system for phishing detection includes converting unauthenticated web content to a browser image, determining that the browser image has a visual similarity to visual characteristics of a legitimate website, determining that a top-level domain (TLD) of the unauthenticated web content is different from a TLD of the legitimate website, and responsively determining that the unauthenticated web content is a phishing attack.

A web browser includes a decision task assistant that parses and analyzes web content of multiple browser tabs concurrently open within a browser session. The decision task assistant creates a decision task tab group that includes the subset of the multiple browser tabs that references webpage subjects pertaining to a common decision task. The decision task assistant discovers attributes of the webpage subjects and displays a decision task summary for the decision task tab group. The decision task summary includes task-specific comparative parameters referencing one or more of the discovered attributes of website subjects in association with content cards summarizing information pertaining to each of the website subjects.

A data packet in transit between a user device and a host through an internet service provider (ISP) core network is intercepted. The data packet is assigned to a category of content, and the data packet is analyzed to obtain a user identifier associated with the data packet. The user identifier uniquely identifies a user of the user device. An identity graph of the user is updated based on the category of content. The identity graph tracks accesses to different categories of content. A cohort of different users is created or updated using such identity graphs. The cohort belongs to a set of cohorts that are associated with user identifiers. The set of cohorts is queryable to determine a particular cohort to which a particular user identifier belongs to enable delivery of content associated with the particular cohort to a particular user represented by the particular user identifier.

Systems, methods, and devices for dynamic web content delivery are provided. The system includes a client device configured to execute a client-side script configured for initiation of one or more simultaneous two-way communication connections, detection and transmission of user actions, and execution of instructions received, for dynamic content updates, from a server for the one or more simultaneous two-way communication connections, the server configured to establish and maintain the one or more simultaneous two-way communication connections with the client device, the server configured for real-time data exchange with the client device to receive user actions, determine an executable response based on a predefined logic, and delivery of the instructions for real-time content manipulation, the instructions including the executable response, and a database configured to manage user-specific data and deliver the user-specific data to the server to support execution of the predefined logic and content customization based on user interactions.

A request to resolve a name of a domain of an identifier of web content is intercepted. The name of the domain is identified as one managed via a blockchain based name service. A unique blockchain identifier of a non-fungible token representing the domain on the blockchain is determined. The unique blockchain identifier of the non-fungible token is leveraged to send a request to obtain at least one resolution record of a plurality of different resolution records of different types stored for the domain, The received at least one resolution record is interpreted to determine a resolution action or a target based at least in part on a type associated with the received at least one resolution record. The requested at least one resolution record is utilized to resolve the name of the domain.

The invention provides a webpage watermark implanting method and device, electronic equipment and a storage medium, and the method comprises the steps: determining a loadable container from a plurality of containers based on a target watermark and the container style information of each container in a webpage to be implanted; generating a newly added background image corresponding to the loadable container, and implanting the target watermark into the newly added background image to obtain a watermark background image; and performing color adjustment on the original background of the loadable container to obtain a reverse background, so as to obtain the webpage containing the watermark based on the reverse background and the watermark background image. According to the method provided by the invention, the reverse background is obtained by performing color adjustment on the original background of the loadable container, so that the webpage containing the watermark is obtained based on the reverse background image and the watermark background image implanted with the target watermark, the idea of tampering the watermark by the user is prevented from the subjective willingness of the user, the content of the webpage is prevented from being leaked, and the user experience is improved. And the security of the webpage content is ensured.

The invention relates to the technical field of network content safety, network space safety and the like, and discloses a hatred speech detection method based on hatred object characteristics and variant restoration, which comprises the following steps: finely adjusting a ChatGLM2-6B model based on a P-Tuning v2 method, and constructing a variant restoration module; performing hatred object entity labeling on each sample in the Chinese hatred speech data set by adopting a BIO labeling method, establishing a BERT-CRF model, performing feature extraction and label sequence optimization, and storing BERT encoder layer parameters after training is completed; the BERT encoder layer parameters obtained through training are initialized to a BERT encoder layer of the hatred speech detection module, and training of the hatred speech detection module is carried out and completed; performing final hatred speech detection classification on any input to-be-detected text by utilizing the trained hatred speech detection model; according to the method, the context feature extraction capability of the model is enhanced, the negative influence of specific expression on model decision is relieved, and the interference of variant words on hatred speech detection semantic extraction is effectively relieved.

The present solution is enclosed in the area of authentication protocols, in particular web-based authentication protocols for reliably determining the origin of a web content, namely a website, and thereby legitimise / certify such website and / or visible content, be it partly or in its entirety, under consent of the rightful proprietor. The present disclosure comprises a computational method for the reliable blocklisting of a domain which, upon the performance of a single action, allows to combine a reliable allowlist with an also reliable blocklist, thereby avoiding that undesired blockage of reliable domains occurs.

The invention provides a telecommunication user abnormal risk assessment method, device and equipment, a medium and a product, and the method comprises the steps: analyzing a network data package, and obtaining user behavior data; generating a website code collaborative vector based on the user behavior data; splicing the website accessed by the user and the main body elements of the webpage corresponding to the website, and inputting the spliced website and the main body elements into a webpage content classification model to obtain a webpage content type; on the basis of the webpage content type, constructing a website index content representation vector; splicing the website code collaborative vector and the website index content representation vector to obtain a collaborative embedded vector; and inputting the collaborative embedding vector into the large language model to obtain an exception judgment result. According to the method, the website information and the webpage content information in the user behavior data can be fully mined, and compared with a traditional method that only statistical information of the user behavior data can be considered, the semantic information in the user behavior data is fully mined, the abnormal recognition accuracy is improved, and potential novel abnormal access modes can be found easily.

A cloud browser system including an image generation server and a Web browsing system including an image forming apparatus and another image forming apparatus includes a unit that creates a tunnel between each of the image forming apparatuses and the image generation server so that the image generation server performs communication via virtual proxies provided by the respective image forming apparatuses and a unit that downloads Web content from a Web server via each tunnel and provides a rendering result based on the Web content to the corresponding image forming apparatus.

Systems, apparatuses, and methods for more effectively monitoring social network and social media posts to assist in identifying posted video, audio, or textual content that may be of interest or concern to a specific entity. This may comprise implementation of a process or technique to select a platform to extract content from, selecting one or more channels or sub-channels on that platform from which to extract content of interest or concern, identifying and subsequently extracting posts expected to contain content of interest or concern, post-processing the extracted content to place it into a form in which it can better be evaluated, and based on the extracted and processed content, causing one or more actions or events to occur.

Methods, systems, and computer program products for providing web content for a plurality of users. The method includes inputting a query to a generative AI system. The query includes a plurality of keywords including a location identifier. An output is received from the generative AI system based on the query. The output is analysed to determine whether the content of the output meets at least one required criterion and whether the output meets at least one optimization criterion. A revised query is then formed based on the results of the analysis against the required criterion and against the optimization criterion, and the revised query is input to the generative AI system with at least one additional keyword. A revised output of the generated web content is received from the generative AI system and stored at a server for retrieval by a user.

The invention discloses an AI generated video detection method and system based on double-branch attention fusion. The method comprises the following steps: synchronously extracting a Patch-level feature sequence and a global-level feature sequence of a video frame by using a pre-trained visual Transform; carrying out local time sequence modeling and independent judgment on the Patch feature sequence through a local space-time artifact branch by adopting a pixel tube Transform; carrying out overall narrative modeling and independent judgment on the frame-level global feature sequence by adopting a global time sequence Transform through a global time sequence consistency branch in parallel; and finally, dynamic weighted fusion is carried out on double-branch discrimination results through an attention fusion module, and a final detection probability is output. According to the method, the AI video generated by advanced models such as Sora and Pika can be effectively identified from two complementary dimensions of local space-time details and global time sequence dynamic, and the method has strong robustness and cross-model generalization ability for interference such as video compression and fuzziness, and is suitable for security scenes such as network content auditing and media evidence obtaining.

To provide a server device for proposing an action with high satisfaction for a user.SOLUTION: The server device includes action history control means and action proposal control means. The action history control means generates an action history of the user by using information obtained from a plurality of information acquisition destinations, and accumulates the generated action history. The action proposal control means makes a proposal related to the action of the user using the accumulated action history. The action history control means may generate the action history of the user by using a first content which is a content on the network and is not generated by the user.SELECTED DRAWING: Figure 1

A method for analyzing Web content includes constructing an accessibility-related values graph for Web content including multiple User Interface (UI) components and associated attributes. The accessibility-related values graph includes (i) values derived from at least some of the attributes of the UI components, and (ii) interrelations defined between the values. On-going validation of the Web content is performed, including, in response to detecting a change occurring in the Web content (i) updating the accessibility-related values graph to reflect the change, (ii) identifying a subset of the values of the accessibility-related values graph that have been affected by the change, and (iii) executing, on the subset of values affected by the change, one or more validity tests t validate compliance of the Web content with a defined accessibility specification.

A request to resolve a name of a domain of an identifier of web content is received. It is automatically determined that the name of the domain is to be resolved using a blockchain. A request is sent to a smart contract of the blockchain to obtain one or more resolution records for the domain. The one or more resolution records of the domain are received. The received one or more resolution records are utilized to resolve the name of the domain.

This application relates to a method and apparatus for processing a security service, and to a device, a storage medium, and a program product related to the technical field of network security. The method includes: receiving a Honeypot service deployment request transmitted by a first device of a network content provider, the Honeypot service deployment request being configured to indicate a probe service type and a Honeypot service type; establishing, based on the Honeypot service type, a Honeypot service in a cloud corresponding to target network content, the target network content being network content provided by the network content provider; and establishing, based on the probe service type, a probe service of the network content provider. In this disclosure, a Honeypot service of the network content provider may be automatically created in the cloud, thereby improves deployment efficiency of a Honeypot system.

The invention discloses a method for realizing a web crawler based on a large front-end technology, which comprises the following steps of: firstly, starting a Puppeteer by using a NodeJS to carry out a web crawling service which can simulate the operation of real human beings, click any position of a page, roll the page, drag elements, read page contents, intercept a webpage, intercept an HTTP (Hyper Text Transport Protocol) request and the like, namely, what you see is what you get; on the basis of the characteristic, the development speed which is incomparable to other crawlers can be realized; secondly, user-oriented visual interaction service is carried out, so that the user is helped to control a Puppeteer through the application, and webpage content capturing, webpage screenshot, network request interception and the like are carried out; the data storage service is used for storing related information of a user, so that the user can conveniently check own operation history, quickly initialize an application, quickly switch a crawler context environment and the like, and the optimal user experience is achieved; and finally, the pictures can be analyzed and processed through a TensorFlow deep learning framework, such as character recognition (used for verification code verification), image classification (providing personalized capture strategies for different users) and the like.

A cross reality system that renders virtual content generated by executing native mode applications may be configured to render web-based content using components that render content from native applications. The system may include a Prism manager that provides Prisms in which content from executing native applications is rendered. For rendering web based content, a browser, accessing the web based content, may be associated with a Prism and may render content into its associated Prism, creating the same immersive experience for the user as when content is generated by a native application. The user may access the web application from the same program launcher menu as native applications. The system may have tools that enable a user to access these capabilities, including by creating for a web location an installable entity that, when processed by the system, results in an icon for the web content in a program launcher menu.