50 results about "Internet content" patented technology

A dynamic experience curation platform utilizing AI and ML techniques, including neural networks and generative models, to enhance user interactions with content on the Internet. The platform employs an Experience Broker (EB) service to disintermediate user devices from the internet (or other content / information sources), improving security and user experience. It processes content requests, extracts relevant information, filters out unwanted content like ads, transforms, combines, and / or mutates existing content, and generates curated content consistent with user preferences and other constraints. The platform's generative AI process renders content into a user interface consistent with user preferences. It allows for personalized content delivery across devices, including virtual and augmented reality environments. The platform supports a spectrum of personalization, allowing users to fine-tune their content consumption experience. Additionally, it manages user sessions across devices and integrates various databases for storing user profiles, preferences, and other relevant information.

The invention discloses a webpage content security processing method based on a knowledge graph, and relates to the technical field of webpage content security. The webpage content security processing method based on the knowledge graph comprises the following specific steps: data collection: collecting webpage related internet content data covering texts, images and videos from an internal network of a network service provider, an enterprise or an organization and a website server. According to the method, comprehensive monitoring and analysis of webpage content security are realized, potential security threats, abnormal modes or association relationships in webpage content can be deeply mined by utilizing the reasoning capability of the knowledge graph, including representation learning, association analysis, event tracing, behavior prediction and the like, so that the security threat identification accuracy is improved, and the security threat identification efficiency is improved. And a visual and easy-to-understand visual interface is provided for safety personnel, so that the safety personnel can respond quickly and take corresponding safety measures.

Described systems and methods protect client devices such as personal computers and IoT devices against harmful or inappropriate Internet content. When a client uses an encrypted handshake to hide the identity of the end server, e.g., in applications implementing an encrypted client hello (ECH), some embodiments employ a modified DNS server to provide a surrogate key to the client instead of the genuine handshake key. A traffic filter executing for instance on a network gateway may then intercept and decrypt the handshake and apply an access policy to selectively allow or deny access to the respective end server. When access is allowed, the traffic filter may re-encrypt the server identifier using the genuine handshake key before forwarding the handshake to its destination. Communication privacy is maintained since the illustrated methods only decrypt the handshake, and not the actual payload.

The invention provides an internet content intelligent recommendation method, which belongs to the technical field of information processing, and comprises the following steps: step 1, collecting multi-modal data of a user in an internet environment, and constructing a user portrait based on the multi-modal data; 2, behavior data and interest data of a user are obtained to update a user portrait; 3, acquiring a main recommendation content table and an alternative recommendation content table from a preset content recommendation library based on the user portrait; 4, generating a comprehensive content recommendation list based on the main recommendation content list and the alternative recommendation content list; and 5, obtaining real-time operation data of the user and updating the comprehensive content recommendation list. And the operation data of the user is responded in real time for updating, so that the recommendation effect and the user experience are remarkably improved.

The invention relates to the technical field of Internet content distribution, and discloses a distributed edge cache acceleration method based on PCDN, comprising the following steps: step I: terminal node access and resource initialization, which includes node registration and authentication, resource information reporting and node classification and label management; step II, hierarchical caching strategy and content storage, wherein the hierarchical caching strategy and content storage comprises content popularity grading, cache writing strategy and cache replacement and elimination; and step III, dynamic content scheduling and distribution. According to the distributed edge cache acceleration method and device based on the PCDN, the content popularity and regional distribution are pre-judged in advance through a deep learning model, and bandwidths and resources of different networks are integrated through a network fusion technology, so that the purposes of reducing the number of times of source returning requests, breaking through the transmission limitation of a traditional single network (for example, only depending on a cellular network) and improving the transmission efficiency can be achieved. The effects of node contribution traceability and automatic execution excitation are achieved.

Embodiments described herein may be directed to systems, methods, apparatuses, devices, computer program products, computer-executable instructions, and / or applications for providing a remote cloud browsing session. A remote cloud browsing session may receive a request for Internet content from a user device, access the Internet content from an Internet content source, and transmit second Internet content to the user device based on the requested Internet content.

Described systems and methods protect client devices such as personal computers and IoT devices against harmful or inappropriate Internet content. When a client uses an encrypted handshake to hide the identity of the end server, e.g., in applications implementing an encrypted client hello (ECH), some embodiments employ a modified DNS server to provide a surrogate key to the client instead of the genuine handshake key. A traffic filter executing for instance on a network gateway may then intercept and decrypt the handshake and apply an access policy to selectively allow or deny access to the respective end server. When access is allowed, the traffic filter may re-encrypt the server identifier using the genuine handshake key before forwarding the handshake to its destination. Communication privacy is maintained since the illustrated methods only decrypt the handshake, and not the actual payload.

The invention provides an automatic evidence obtaining method and device for Internet content, equipment and a storage medium, and the method comprises the steps: obtaining to-be-processed tasks in batches, analyzing the obtained to-be-processed tasks, and obtaining the key task information of each to-be-processed task; based on the task priority and the task type of each to-be-processed task and the resource information of each server node in the server cluster, allocating each to-be-processed task to the corresponding server node; each server node configures a task parameter of a browser instance corresponding to each to-be-processed task based on the task type and evidence obtaining mode of each to-be-processed task to obtain a browser instance adapted to each to-be-processed task; and based on the browser instance adapted to each to-be-processed task, performing loading, screenshot, watermark adding, data packaging and other processing on the target webpage corresponding to each to-be-processed task to obtain an evidence obtaining result of each to-be-processed task. According to the method disclosed by the invention, efficient batch evidence obtaining of the Internet content can be realized.

This invention discloses a network security browsing system and method. First, a user request forwarding module sends user requests to an RBI server, with all subsequent interactions completed on the RBI server. This achieves physical isolation between the user's local device and internet content, preventing direct attacks from malicious websites and ensuring user access security. Second, a request analysis and processing module performs in-depth analysis of the content and destination of user requests, proactively identifying and intercepting potential threats such as phishing websites and malicious code injection, compensating for the shortcomings of traditional technologies in ensuring website content security. Third, when the target website is secure, the content acquisition and presentation module allows the RBI server to request and process content in a secure environment, making it difficult for malicious code to cause damage and preventing attacks on the system. All modules work together to create a safe and reliable network browsing environment for users.

The application discloses a kind of knowledge graph-based webpage content security processing method, it is related to webpage content security technical field, the method includes the following specific steps: data acquisition: from network service provider, enterprise or organization internal network and website server collect the internet content data related to webpage of text, image and video form, the present application realizes the comprehensive monitoring and analysis to webpage content security by constructing knowledge graph-based webpage content security processing system, by using the inference ability of knowledge graph, including representation learning, correlation analysis, event traceability, behavior prediction etc., potential security threats, abnormal patterns or associated relationships in webpage content can be deeply mined, not only improve the accuracy of security threat identification, but also provide intuitive, easy-to-understand visual interface for security personnel, so that they can quickly respond and take appropriate security measures.

The invention belongs to the technical field of Internet content recommendation, and particularly relates to a user and content intelligent matching method which comprises the following specific steps: S1, user data security and authorization management: performing hierarchical authorization, data desensitization and authority control; s2, user portrait construction: receiving compliance data sources, and integrating user basic information; s3, content feature deep extraction: performing deep semantic analysis, scene recognition and emotion labeling technologies; s4, cross-scene data collaboration: integrating behavior data of the user in multiple scenes; s5, dynamic matching decision making: taking the user dynamic portrait and the content refined feature tag as input; and S6, special user demand adaptation: before a matching result is output, aiming at a special group. According to the method, basic data, behavior data and authorized implicit data of a user are collected, a BERT-BiLSTM fusion model is adopted for emotion analysis and intention recognition, user features are described from multiple dimensions, real demands which are not clearly expressed by the user are mined, and potential preferences of the user are accurately captured.

The invention discloses a ticket synthesis method and device, equipment, a storage medium and a program product. The method comprises the following steps: gathering ticket data of all machine rooms in a target area to obtain gathered data; associating messages belonging to the same ticket in the aggregated data according to a preset address rule to obtain asymmetric associated ticket data; and for each hypertext transfer security protocol ticket, backfilling the associated domain name system resolution domain name and alias record field into the hypertext transfer security protocol ticket to obtain a deep packet inspection ticket synthesis result. According to the embodiment of the invention, by integrating the dispersed and one-way network flow data into the complete and two-way associated ticket, and performing association backfilling on the domain name system ticket and the hypertext transfer security protocol ticket to obtain the DPI ticket, network transmission resources can be effectively saved, data packet loss is reduced, the two-way integrity and recognition degree of the ticket are improved, and the success rate of data transmission is improved. And powerful big data basic support is provided for internet content resource operation and the like.

The invention discloses a network violence early warning and treatment system, which belongs to the field of internet content security and comprises an early warning subsystem and a treatment subsystem which are integrated with a social platform through an API (Application Program Interface). The early warning subsystem comprises a data collecting and processing module, a topic clustering module, a content analysis module and an early warning decision-making mechanism; the governance subsystem comprises a grading intervention module, an account type differentiation governance module, an official guidance optimization module and a platform response time optimization module; according to the method, a triple analysis mechanism is adopted to reduce misjudgment and missed judgment: through stepped analysis logic of'emotion polarity preliminary screening + dictionary-machine learning fusion evaluation + context perception correction ', 'normal negative evaluation' and'network violence 'are effectively distinguished, it is avoided that reasonable negative evaluation is misjudged as violence content, meanwhile, violence speech is accurately recognized and determined, and the accuracy and accuracy of the violence speech are improved. And speech free protection and violent intervention requirements are balanced.

A system for online behavior modification of a user having an internet-connected device, a content monitor recording content identifiers of internet content accessed under the control of the user, at least one biometric sensor of the user concurrent with accessing the internet content, a server receiving content identifiers conditions associated with the user, an arousal detection filter configured to determine a level of arousal of the user associated with accessing internet content identified by the content identifiers, and an activity logger configured to record into a user activity log stored in computer-readable memory the declared level of arousal and the identifiers.

A method includes receiving, by a processing system of a user endpoint device, a network cookie directly from an internet service provider who provides a subscriber who is associated with the user endpoint device with connectivity to the internet, storing, by the processing system, the network cookie in a local memory of the user endpoint device, generating, by the processing system, a request to send to the Internet service provider, wherein the request comprises a request for an internet protocol address associated with a uniform resource locator of an internet content provider, attaching, by the processing system, the network cookie to the request, and sending, by the processing system, the request including the network cookie to the Internet service provider.

The invention relates to an Internet content intelligent creation method and device based on a generative adversarial network, equipment and a medium. The method comprises the following steps: acquiring network real-time hotspot data streams, grouping the data streams by adopting an unsupervised clustering algorithm, and identifying a high-dynamic trend content set; performing multi-dimensional feature analysis on the high-dynamic trend content set by adopting a pre-trained deep semantic analysis model to generate a trend associated content theme; performing feature extraction on the multi-form content under the trend correlation content theme through a feature extractor to obtain a multi-form content feature set; carrying out nonlinear standardization mapping on the multi-form content feature set by adopting a feature standardization algorithm to generate a unified feature expression set; and based on the unified feature expression set, generating a framework by using a pre-constructed generative adversarial network content, and outputting creation content. By adopting the method, the efficiency and the automation level of content generation can be improved, and the consistency of the multi-modal content in semantic and emotional levels is ensured.

A method includes receiving, by a processing system of a user endpoint device, a network cookie directly from an internet service provider who provides a subscriber who is associated with the user endpoint device with connectivity to the internet, storing, by the processing system, the network cookie in a local memory of the user endpoint device, generating, by the processing system, a request to send to the Internet service provider, wherein the request comprises a request for an internet protocol address associated with a uniform resource locator of an internet content provider, attaching, by the processing system, the network cookie to the request, and sending, by the processing system, the request including the network cookie to the Internet service provider.

The invention relates to the technical field of internet content security, in particular to a content auditing quality monitoring system and method based on real-time dial testing, and the system comprises a task scheduling module, a case switching module, a parameter supplementing module, a feedback collection module and a report filing module, and analyzing the matching relationship between the time and the scene state label, and judging the consistency between the current time and a preset sensitive period label. According to the method, auditing tasks are automatically distributed through different business scenes and scheduling time points, multi-scene switching of test cases and flexible cooperation of task nodes are achieved, feedback data of coverage blind areas and high-risk links are continuously collected, a multi-dimensional coverage structure is constructed according to task execution and scene labels, and the coverage efficiency is improved. Abnormal distribution and node changes in the auditing process are collected, the linkage monitoring capacity for complex content types, sensitive scenes and auditing node states is improved, and traceability, coverage precision and scene adaptability of the whole content auditing process are promoted.

The VIDEO DELIVERY EXPEDITION APPARATUSES, METHODS AND SYSTEMS (“VDE”) transform Internet content data access request via VDE components into media content playback at a client device. In one implementation, the VDE may issue a notification or a user interface element to a user after delivery of a process one data from the server to a client; and trigger a background delivery of a process two data, wherein the triggering occurs when the user initiates playback of said process one data.

The present application relates to the technical field of Internet content security, in particular to a content review quality monitoring system and method based on real-time dialing, the system comprising a task scheduling module, a use case switching module, a parameter supplementing module, a feedback collecting module and a report archiving module, the task scheduling module being based on a dialing start time parameter, analyzing the matching relationship between the time and the scene state label, and judging the consistency of the current time and the preset sensitive period label.The present application automatically allocates review tasks according to different business scenarios and scheduling time points, realizes multi-scene switching of test cases and flexible cooperation of task nodes, continuously collects feedback data covering blind areas and high-risk links, constructs a multi-dimensional coverage structure according to task execution and scene labels, collects abnormal distribution and node changes in the review process, improves the linkage monitoring capability for complex content types, sensitive scenes and review node states, and promotes the traceability, coverage accuracy and scene adaptability of the whole content review process.

The invention discloses a text sensitive information recognition and processing method and system based on deep learning, and the method comprises the steps: building a sensitive information recognition model containing a feature extraction layer and a classification layer based on a pre-training language model, and endowing a minority class with a higher weight through a weighted cross entropy loss function to relieve class imbalance; a semantic perception adversarial sample generation technology is adopted, synonyms are screened in combination with BERT semantic similarity to replace samples, and model robustness is enhanced; the dynamic threshold adjustment mechanism optimizes the classification threshold in real time according to the misjudgment rate and the omission ratio, and the scene adaptability is improved; high-priority sensitive content is blocked in real time through the grading processing strategy, low-priority content is marked to be audited, and a closed-loop continuous optimization model is fed back through a log. The method is suitable for the fields of Internet content auditing, financial risk control, public opinion monitoring and the like, the sensitive information identification accuracy is remarkably improved, the false report and missing report rate is reduced, and self-adaptive iteration of model performance is achieved.

The invention discloses a network detection method and device, a storage medium and electronic equipment. The method comprises the following steps: in response to an Internet surfing request of a user side, detecting whether a URL address in the Internet surfing request is a safe website or not through a URL list library detection mode; when it is detected that the URL address is a safe website, the internet surfing request is sent to a website server; receiving a response result sent by the website server for the internet surfing request, detecting the response result to obtain a detection result, the response result comprising at least one of the following: a webpage title and webpage content; the sample library is updated based on detection results, and the detection results comprise at least one of a webpage title detection result and a webpage content detection result. According to the method and the device, the problem that the accuracy of internet content detection is reduced in the prior art is solved.

The invention provides a distributed internet content supervision system which comprises a hierarchical multi-chain multi-way tree architecture, root nodes and middle nodes of a multi-way tree are supervision chains, leaf nodes of the multi-way tree are service chains, each supervision chain corresponds to a supervision group of a level to which the supervision chain belongs, and each service chain corresponds to a specific subject to be supervised and a supervised object. The invention also provides a cross-chain data transmission method for the distributed internet content supervision system to realize cross-chain communication, and the method comprises the steps: realizing the cross-chain transaction from the superior supervision chain to the subordinate supervision chain based on the trust relationship between the superior and subordinate chains; based on an SPV verification method, cross-chain transaction from a lower-level supervision chain to an upper-level supervision chain is realized; and based on the common father node, realizing cross-chain transaction between the supervision chains of different sub-trees. The invention further discloses a data processing device for implementing the cross-chain data transmission method.

This invention discloses a live streaming content recognition system and method based on virtual positioning and multimodal reasoning, relating to the field of internet content analysis technology. By analyzing the difference between virtual and actual positioning, and combining it with bullet screen and tipping behavior patterns, this invention forms a cross-modal association evidence chain. It comprehensively calculates a live streaming anomaly index by considering the proportion of fraudulent activity, the proportion of abnormal bullet screens, and the proportion of tipping spam. Each indicator corresponds to an independent weight and allowable threshold, achieving a quantitative classification of the degree of anomaly. This more accurately reflects the risk level of the live streaming room and solves the problem in existing technologies that rely solely on single-modal data for analysis, making it impossible to comprehensively and accurately identify abnormal behavior during the live streaming process and prone to misjudgment.

Provided is an Internet content processing device having a control means arranged for receiving an Internet page request from a software application installed on a user device or running on a user device, downloading, from an Internet server, the Internet page indicated in the received Internet page request, making a modification to the downloaded Internet page, and sending to the user device the Internet page to which the modification has been made. An Internet content processing system and an Internet content processing method are also provided.

The invention provides a multi-style internet content batch generation method and device based on a large model, and the method comprises the steps: obtaining a specified material, and collecting the content data related to the specified material; on the basis of the specified material, the content data and pre-configured multi-target style configuration information and a content generation instruction, constructing a standard instruction for performing multi-style Internet content generation; and based on a standard instruction, adopting a content generation large model matched with the multi-target style configuration information to perform batch generation of the multi-style Internet content. Through the method disclosed by the invention, content batch generation can be realized, output styles are accurately controlled, output content homogenization is avoided, and content adaptability and propagation efficiency in a large-scale information propagation scene are remarkably improved.

The invention discloses a distributed batch internet content clue automatic evidence obtaining method and system, and belongs to the field of internet content governance. The method comprises the following steps: acquiring a webpage address of a target webpage in an evidence obtaining job, and performing webpage rendering after obtaining webpage data of the target webpage according to the webpage address; extracting first evidence obtaining content in the generated webpage; performing enhanced generation on the first evidence obtaining content to obtain a webpage similar to the evidence obtaining content, and extracting second evidence obtaining content from the webpage similar to the evidence obtaining content; and packaging the first evidence obtaining content, the second evidence obtaining content and the evidence obtaining process to obtain a first evidence file, and carrying out digital signature on the first evidence file. According to the invention, the business process of the evidence obtaining work can be simplified as much as possible, the machine automation of the evidence obtaining work is realized, the requirements of relevant workers on convenient and timely evidence obtaining, analysis, business handling and work development are met, the specific technical problems in the network content treatment process are solved, and the internet space treatment level is practically improved.

The invention discloses a multi-level sensitive text classification method and system, a terminal and a storage medium, and the method comprises the steps: obtaining sensitive text data of historical Internet content, carrying out the data cleaning of the sensitive text data, obtaining target sensitive text data, and constructing a level label data set according to the target sensitive text data; preprocessing the hierarchical label data set to obtain a training data set, and performing model training according to the training data set to obtain a sensitive text classification model; and obtaining to-be-recognized text data of the current Internet content, inputting the to-be-recognized text data into the sensitive text classification model, and outputting a sensitive text classification result. The method is wide in recognition and classification coverage range, high in subdivision degree, capable of recognizing meanings and references of texts, capable of considering context information of the texts, capable of improving classification accuracy, few in required resources during processing and high in response speed.

The invention provides a method and system for shoe industry internet content management, and the method comprises the steps: obtaining shoe structured commodity data and digital asset data from an e-commerce platform, a brand content library and social media, and carrying out the analysis, standardization and duplicate removal of content items; and calculating a plurality of sub-scores for the de-duplicated content items based on footwear field completeness, size system consistency, attribute constraint consistency, digital asset and main data matching degree and channel adaptation degree, and generating a quality score through weight fusion and constraint conflict correction. Triggering a workflow state which can be published, needs to be complemented or needs to be rechecked of the entry according to the score; executing rule engine compliance auditing on the publishable items or the items needing to be rechecked, and generating and storing published snapshots; according to the scheme, through a multi-dimensional algorithm and dynamic weight adjustment, automatic quality control and intelligent release of the content items are realized, the content accuracy is improved, manual auditing is reduced, and the multi-channel release efficiency and the data traceability are optimized.