28 results about "Web content" patented technology

This invention discloses a batch multimodal data alignment method and system based on the CLIP model, belonging to the field of information processing technology. The method includes: S1: receiving batch multimodal data; S2: data preprocessing; S3: batch feature extraction based on the CLIP model to achieve feature alignment; S4: batch classification based on a Prompt template; S5: result generation and output, and visualization processing. This invention is applicable to user behavior analysis, abnormal traffic detection, and network content security governance in a big data communication environment. It fully utilizes CLIP's powerful cross-modal semantic alignment and zero-sample transfer capabilities, combined with batch optimization strategies, dynamic task scheduling, and a batch classification method based on a Prompt template, thereby achieving efficient, flexible, and scalable multimodal data processing, accurately identifying malicious text, malicious images, and cross-modal risk links, and enabling real-time monitoring and intelligent prevention of malicious network behavior.

This invention discloses a proactive depolarization method for online discourse based on evolutionary multi-agent collaboration, belonging to the interdisciplinary field of social network content governance and artificial intelligence technology. The process is divided into three stages in chronological order: perception and decision-making, execution and amplification, and feedback and iteration. By introducing a multi-agent collaboration and evolutionary mechanism, and using artificial intelligence to proactively intervene in online interactive discourse, it reduces the spread of opposing opinions in online communities. This enables the governance system to possess decision-making and action capabilities similar to an organized team, achieving real-time governance of the online discourse environment, proactively guiding dialogue towards de-escalation, and reducing the spread of extreme emotions and biased viewpoints.

The present application relates to a kind of methods for realizing network content risk analysis based on key points driving, comprising the following steps: depth semantic analysis is carried out to original text, and risk key points are identified and extracted;According to the preset confidence threshold filtering low reliability key points, calling big model intelligent screening risk key points;Multi-source evidence online retrieval is carried out, and multi-source search results are integrated and risk tendency determination;Multi-dimensional risk research and judgment is carried out.The method for realizing network content risk analysis based on key points driving, device, processor and computer readable storage medium thereof of the present application are adopted, by reconstructing analysis process with risk key points as core, and comprehensively deciding by depth fusion local semantic knowledge and external real-time information, surpassing existing technology in precision, explainability and flexibility etc.Dimensions, provide solid technical foundation for constructing next-generation intelligent, efficient, reliable network content risk prevention and control system, and have important practical value and innovation.

The present disclosure generally relates to navigating web content. Some techniques are for filtering representations of web content in accordance with some embodiments. Other techniques are for displaying controls for traversing web content in accordance with some embodiments.

A system and method for accelerating web content delivery are disclosed. The method includes capturing a request to access a webpage hosted by a web server, the request is initiated by a web browser; determining if there are resources in the requested webpage cached locally at a cache memory of the web browser; retrieving cached resources that are locally cached at the web browser; retrieving uncached resources from the web server; and rendering the webpage on the webpage from the cached resources and the uncached resources.

Technologies for implementing geographic location based news feeds. A server computer indexes web content transmitted from a first client computer. And, the server computer, in response to receiving a search query from a second client computer, generates geographically filtered search results based on the search query from the second client computer and a geographic location tag of the search query. The geographically filtered search results can include parts of the web content transmitted from a first client computer corresponding to the search query and the geographic location tag of the search query. The server computer also transmits the geographically filtered search results to the second client computer to be displayed by the second client computer.

Embodiments of the present application disclose a browser-based plug-in recommendation method, a computer device and a storage medium. The method comprises: in response to a user's operation of inputting web content of a browser page, generating intention description information, obtaining a plug-in list, determining, based on plug-in description information of a plurality of plug-ins, a plug-in matching the intention description information as a candidate plug-in, determining, from at least one candidate plug-in, a candidate plug-in satisfying a plug-in recommendation condition as a target plug-in, and presenting an icon of the target plug-in on the browser page. Embodiments of the present application automatically generate intention description information based on the user's operation of inputting web content, to represent the user's operation requirement for the web content, without the user manually expressing the operation requirement for the web content, which is conducive to improving the intelligence of scheduling plug-ins. In addition, embodiments of the present application can select a high-performance plug-in from a plurality of plug-ins with repeated functions and recommend the plug-in to the user for use, thereby improving the user's experience.

This invention relates to an automated testing method, system, electronic device, and storage medium for Electron applications. The method includes: selecting an operation channel from a native control operation channel and a Web content operation channel based on the architectural level of the operation object targeted by the test operation; wherein the native control operation channel is used to operate the system-level native windows and controls of the Electron application, and the Web content operation channel is used to operate DOM elements in the embedded Web rendering engine of the Electron application; executing the test operation through the selected operation channel; when the Web content operation channel is unreachable, using an image recognition operation channel to execute the corresponding test operation, the image recognition operation channel identifies, locates, and operates interface elements by scanning the screen image of the Electron application. This solution solves the problems of insufficient single-channel test coverage, poor CDP channel reachability, and lack of fault tolerance in existing automated testing methods for Electron applications.

A terminal and a computer system are provided, and in a case where a target search query of web content is received from a user, the terminal or the computer system outputs information for displaying a plurality of sub-search words / phrases used for search together with the target search query in another search query and / or a plurality of contained words / phrases mentioned on web pages up to a predetermined rank in search results of the target search query as a word / phrase list in a tree structure, and outputs information for displaying a combination of a heading tag assigned according to a hierarchy of each node of the tree structure and a word / phase of the node when a specific operation is executed by the user on a part or all of the displayed tree structure.

Embodiments provide systems and methods for dynamically generating, managing, and optimizing interactive Web content. A generative artificial intelligence model is used to automatically generated a Web page experience in response to a prompt. The Web page experience may include at least one Web page having visual content and functional content created by the generative AI model. The disclosed techniques may also include monitoring, by one or more processors, performance metrics of the at least one Web page, where the metrics may be generated by the functional content. The disclosed techniques may also include determining, by the one or more processors, whether to remove the at least one Web page from circulation based on performance metrics. In an aspect, multiple variants of the Web page experience may be generated, and the determination to remove the at least one Web page may remove one variant from circulation, but not other variants.

This invention discloses a method and system for detecting social media rumors based on the BLRQ-BV model, belonging to the technical field of social media content security and information authenticity identification. It includes: encoding each rumor event as a whole into a text modality and a grayscale image modality, constructing a bimodal data representation that maintains semantic integrity; using a BiLSTM network to extract sequence features from the text, employing a specially designed low-discrimination-information-loss quantum hybrid network LIL-QHN to extract quantum features from the text, and using a ResNet-18 network to extract visual structural features from the grayscale image; losslessly fusing the three modal features through an innovative spherical spatial vector synthesis method VC-BS, preserving the feature strength and directional relationships; and introducing a joint loss function to collaboratively optimize each branch, ultimately achieving end-to-end rumor detection. This invention can robustly achieve automatic identification of social media rumors and is applicable to scenarios such as network content security management, public opinion monitoring and early warning, and digital forensics.

Summary generation functionality generates summaries (“content briefs”) with respect to topics from an existing topic graph that organizes a set of keywords into related groups over a set of electronic documents, such as web pages. Each content brief provides a summary of a corresponding topic from the topic graph. Content authors can consult the content brief for a given topic to gain insight into how to revise or draft a web page or other electronic document to improve its ranking in a search engine with respect to which the topic graph was generated.

This application provides a website-wide content review system and method based on multi-source aggregation and multi-level caching, belonging to the field of network content security review technology. The system includes six modules: request access, local review, multi-level caching, third-party review scheduling, result fusion, and asynchronous processing. It receives requests through a unified API gateway and performs pre-emptive risk control, employs a local Bloom filter for double verification, reuses results through a three-level cache, implements parallel calls and circuit breaker degradation for third-party services, and generates a reliable conclusion from multi-source results through a fusion strategy. Then, it asynchronously writes back for evidence storage and sends callback notifications, achieving efficient and reliable review of website-wide content. This application solves the technical problems of existing content review methods when handling massive amounts of diverse content at the website level, such as low review efficiency, large result judgment bias, service susceptibility to failure, and resource waste caused by repeated reviews. It achieves efficient progress in website-wide content review and improves the accuracy and reliability of review conclusions.

The application provides an underage bad network content intelligent identification method based on cross-modal feature fusion, relates to the technical field of network content security and underage protection, and comprises the following steps: acquiring multi-modal data corresponding to network content to be identified, wherein the multi-modal data comprises video data, audio data and network text information, and a multi-modal sequence is constructed according to a unified time axis; and through the fusion of multi-modal data and the alignment of cross-modal features, the underage bad network content intelligent identification method realizes accurate identification and classification of network content, a multi-modal sequence is constructed according to a unified time axis and image, audio and text features are extracted, cross-modal alignment is realized through a shared semantic feature space, semantic complementation between different modal data is realized, and the identification accuracy and classification efficiency for underage bad network content are improved.

The present disclosure provides a kind of interactive method of browser tab group, it is related to computer technology field, the method includes: in response to the click operation of browser established tab group, the group homepage of tab group is displayed, and the group homepage includes list area, work area and fixed session area;The list area includes multiple tab entries and / or note entries;The work area is used to show web content or group note content, and fixed session area is used to show group session information associated with the tab group;In response to the trigger operation of target tab entry in the list area, display content corresponding to the trigger operation is displayed.The present disclosure can improve efficiency.

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.

This invention relates to the field of network content security technology and discloses a method for malicious semantic fusion and feature extraction for multilingual social networks, comprising the following steps: S1, multilingual corpus construction and preprocessing stage; S2, cross-language semantic encoding stage; S3, cross-layer malicious semantic fusion stage; S4, cluster feature purification stage; S5, model discrimination and iterative optimization stage. This invention overcomes the limitations of monolingual malicious content detection technology, realizes unified representation and extraction of cross-language malicious semantics in multilingual social network scenarios, effectively eliminates the surface and deep heterogeneity between different language data, can adapt to the high-frequency multilingual mixed text and low-resource language content processing needs in social scenarios, and significantly improves the discriminability and representation ability of cross-language malicious semantic features by directionally strengthening malicious semantic-related features through an adaptive feature fusion mechanism.

This document describes the autonomous collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications in an automatic and autonomous manner. Specifically, the disclosed methods, devices, and systems may be employed to produce one or more communications and / or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating predicted user engagements, thereby accurately determining the cost benefits of the communication campaign. The system may track, evaluate, and provide analytic results that may then be used to better guide the system parameters for customizing autonomous communications directed one or more characteristics of a defined target audience.

Systems for generating content summaries in a web content management service, wherein in one embodiment a digital page editor and a component browser are launched to enable selection of a first content item. A summary of the first content item is automatically generated according to parameters that may have default values or values set by a user. The parameters may specify a size for the summary as a percentage of the first content item's size, as a particular number of lines, characters or words, as a size for a particular type of device, etc. The automatically generated summary is provided to the digital page editor, which can edit it and add it to the digital page. The summary is stored in a content repository as an independent summary content item with its own metadata.

The application provides a network content crawling method, an electronic device and a storage medium. The network crawler comprises a main crawler, a task distribution platform and a plurality of sub-crawlers for processing different task types. The method comprises: the main crawler sending a target task type of a network content crawling task to the task distribution platform, wherein the target task type is determined according to task information carried in a task processing request of the network content crawling task; and the task distribution platform distributing the network content crawling task to a corresponding sub-crawler for processing according to the target task type. Since the network content crawling task is divided into task types and processed by corresponding sub-crawlers in the network content crawling process, the possibility of blocking can be reduced in the large-scale network content crawling process.

A method and related systems for increasing relevant content transmission may include storing first content representation in a first server and second content representations in a second server, generate a query representation based on a query, retrieving an intermediate representations by concurrently using the first server to retrieve a first representation subset based on the first content representations and using the second server to retrieve a second representation subset based on the second content representations. The method also includes using a graph neural network to re-rank similarities to select a ranked graph subset, determining an input context that includes selected content including data from the first server and the second server based on an association between the selected content and the ranked graph subset, and generating a language model response by transmitting, to an API of a language model, an input comprising the query and the input context.

An information processing system includes an information processing apparatus and a terminal apparatus. The information processing apparatus receives a message; transmits the message to AI; receives a response; causes information including the response to be displayed; registers the information; causes the information to be displayed as selectable; and transmits web content data for displaying a first web page for receiving the message and a second web page enabling selectable display of the information. The data includes a script that causes the terminal apparatus to transmit an information retrieval instruction and display the second page. The information processing apparatus reads the information in response to a request from the terminal apparatus and transmits a response including the information to cause the apparatus to display the second page. The terminal apparatus displays the first page, transmits the request, receives the response, and displays the second page.

Disclosed aspects include orchestration of machine learning and / or other rule-based indicators across elements of a webpage, including text, images, URLs, phone numbers, audio, video, to determine overall fraudulent intent. A set of dynamic web site data is received via a web browser extension installed and opted-in by the end user. The orchestration technique may be used to process the set of dynamic web site data. Accordingly, a fraud event is detected using the orchestration technique. Based on a selection criterion with respect to the fraud event, it is determined to provide an opportunity to warn the end. In response to making the determination, the opportunity can be provided to produce an alert injected into the visited website by the end user.

The present disclosure generally relates to manipulating output of web content. Some techniques are for displaying content in different manners in accordance with some embodiments. Other techniques are for altering content in accordance with some embodiments. Other techniques are for selectively including content within other content in accordance with some embodiments.

Systems and methods for an author-once, render-anywhere immersive content platform are disclosed. An authoring service generates a runtime-agnostic universal schema defining assets, panels, and triggers for two-dimensional (2D), three-dimensional (3D), and blended 2D-to-3D presentations. On a client device, a runtime selector probes device capabilities to select a renderer from a plurality of heterogeneous renderers, such as a web renderer or a native extended-reality (XR) renderer. A mapping engine then translates the universal schema into renderer-specific primitives while preserving behavioral parity to ensure a consistent user experience across all devices. The system normalizes varied user inputs into a common event format to generate renderer-agnostic analytics, including spatial analytics such as gaze-based dwell time within 3D zones. This allows for unified measurement across all presentation modes from a single content source, eliminating the need for separate codebases and solving the problem of siloed analytics.

The example systems and methods provide ways for websites to monitor, store, retrieve, and display navigation tendencies of users of websites. More particularly, the systems and methods involve websites displaying measures of user traffic associated with various categories of web content. The measures of user traffic may inform a user of how the user previously navigated the various hierarchical categories of web content, or the measures of user traffic may inform a user of how others navigate the various hierarchical categories of web content. Moreover, the user may select an identifiable group of users for which the website will display navigation tendencies. In the alternative, the website may display navigation tendencies of an identifiable group of users based on an identity of the user viewing the website.