23 results about "Internet content" patented technology

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 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.

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.

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 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.

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.

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 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.

This invention discloses a method and system for targeted updates of rendering units and cache consistency processing based on data dependency range, belonging to the technical field of Internet content management systems. The method includes: pre-establishing a data dependency mapping relationship between content data objects and multiple rendering units, defining the data field range that each rendering unit depends on; when a change in the content data object is detected, determining the field range involved in the change, and finding the rendering units that depend on that field range according to the data dependency mapping relationship, forming a set of affected rendering units; generating a cache key based on the data query conditions corresponding to each rendering unit in the affected rendering unit set, and performing invalidation processing on the associated cached data; when the next server-side rendering request is received, if the corresponding cached data is detected to be invalid, re-executing the database query and completing the server-side rendering update. This invention, by introducing field-range-level data dependency modeling, achieves refined propagation of the impact of content changes and cache update control, improves cache hit rate, reduces unnecessary database access and server-side rendering calculations, and enhances the system's response efficiency and stability in content change scenarios, thereby achieving a balance between cache consistency and system performance, and significantly reducing the computational overhead of server-side rendering.

The application relates to the technical field of internal and external chain distinguishing, and discloses a method for distinguishing internal and external chains of a target website, which comprises the following steps: obtaining first ICP (Internet Content Provider) filing information of the target website; obtaining a URL (Uniform Resource Locator) link to be distinguished of the target website; and distinguishing whether the URL link to be distinguished is an internal chain or an external chain of the target website according to the first ICP filing information. In this way, misjudgment caused by the relationship among the main domain name of the target website, the IP address of the target website, the main domain name of the URL link to be distinguished and the IP address of the URL link to be distinguished is not needed to be considered, the first ICP filing information of the target website is utilized to distinguish whether the URL link to be distinguished is an internal chain or an external chain of the target website, and the accuracy of distinguishing the internal and external chains of the target website is improved. The application further discloses a device for distinguishing internal and external chains of a target website, an electronic equipment and a storage medium.

Embodiments of the present disclosure includes systems for and methods of preventing corruption of user profiles. A method falling within the disclosure includes: generating a set of rules for a first user profile based on a history of user interactions with a plurality of internet content items tracked while an application on a user device was logged into the first user profile; receiving a user interface interaction with an internet content item; and based on the set of rules, determining that the user interface interaction with the internet content item is not consistent with the history of user interface interactions with the plurality of internet content items tracked for the first user profile; and based on the determining: providing for output an option to log the application on the user device into a second user profile.

This disclosure provides an automatic forensic method, apparatus, device, and storage medium for internet content. The method includes: batch acquiring tasks to be processed; parsing each acquired task to obtain key task information for each task; allocating each task to corresponding server nodes based on its task priority, task type, and resource information of each server node in the server cluster; configuring task parameters of the browser instance corresponding to each task based on its task type and forensic method to obtain a browser instance adapted to each task; and performing processing such as loading, screenshotting, adding watermarks, and data packaging on the target webpage corresponding to each task based on the adapted browser instance to obtain the forensic result of each task. The method disclosed herein enables efficient batch forensic collection of internet content.

This invention provides a fine-grained method and system for detecting harmful memes based on information theory semantic decompression, belonging to the field of multimodal information processing and internet content security. It includes: extracting image and text features of the meme to be detected and fusing them into a joint vector; calculating the risk value of the meme based on the joint vector and classifying it into low-risk or high-risk memes; using the joint vector of the high-risk meme as a query vector to retrieve an external explicit semantic explanation from a pre-built semantic decompression knowledge base, and concatenating and fusing it with the original high-risk meme features as the semantic decompression context to construct an enhanced input prompt; and outputting the fine-grained category of the meme based on the original low-risk meme or the enhanced input prompt. This invention significantly improves the model's ability to understand metaphors and emerging hate symbols, enhances fine-grained detection accuracy, and significantly reduces the system's computational overhead and inference latency.

1. The name of the design product: the main body of streaming media player. 2. The use of the design product: the product is mainly used to stream Internet content directly to the TV, and also allows the TV to play local media files from USB drives or connected network storage devices, etc. It can also be used as a set-top box. The main part is requested to be protected. 3. The design points of the design product: the shape of the solid line. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to the technical field of network security, and provides a circular amplification attack processing method, device, equipment, medium and product, the method is applied to a first agent center, and the method comprises the following steps: obtaining a first back source path field; based on the judgment result of the first back source path field, determining a monitoring result of a cyclic amplification attack for a content distribution network CDN object; under the condition that the cyclic amplification attack of the CDN object is monitored, early warning information corresponding to the cyclic amplification attack of the CDN object is sent to an internet content provider ICP source station through a cyclic amplification attack CAA server; and based on the first processing mode sent by the ICP source station, processing the cyclic amplification attack of the CDN object. According to the method, the accurate positioning of the nodes of the CDN cyclic amplification attack is improved, the effectiveness of solving the CDN cyclic amplification attack problem is improved, and the safe and stable operation of a CDN service system is ensured.

The invention provides an internet content security filtering method and system based on edge computing, and the method comprises the steps: obtaining a real-time content data flow from user access flow through a preset module disposed at a network edge device, and obtaining a preliminarily classified content fragment sequence; carrying out feature extraction by adopting an edge filtering algorithm according to the preliminarily classified content fragment sequence, and determining a distribution mode of potential harmful information; if the distribution mode of the potential harmful information exceeds a preset threshold value, local optimization of a content recognition algorithm is executed for the distribution mode, and a refined risk assessment score is obtained; obtaining a high-risk fragment subset from the refined risk assessment score, and judging whether the subset meets a blocking condition or not; performing data isolation processing on the high-risk fragment subset through the judged blocking condition to obtain an isolated security content stream; and comparing and fusing the isolated secure content stream with the original flow, and determining a final filtering output sequence.

The invention relates to a solution for sharing dynamic internet content in a local environment, enabling users to share their use of variable content offered via internet platforms with other users via a preferably mobile device. At least one distributor of dynamic internet content, namely a user of a device running a client application, repeatedly and automatically sends out an offer message, prompted by this client application, offering other users of mobile devices within range of a short-range radio technology the opportunity to share the internet content they are using.A user of a mobile device that also supports the aforementioned radio technology and runs the same client application, and which receives a distributor's offer message and visualizes it on a display, participates in the use of selected internet content in the visualized offer message by automatically establishing an internet connection through the client application processed by their mobile device and starting a respective app or browser application required to use the selected internet content.