50 results about "Internet users" patented technology

The invention relates to the technical field of internet risk control management, and discloses an internet risk control optimization method based on multi-dimensional data analysis, which comprises the following steps: acquiring internet user behavior data, transaction data, equipment information and environment data in real time, and carrying out data preprocessing on the data to generate a sample data set; key risk control features are extracted from the sample data set based on a feature importance analysis strategy, and a feature subset is generated; performing parameter optimization on the integrated gradient boosting tree and the deep learning network by using an improved sparrow search algorithm, and obtaining a risk control model after optimization; and inputting the feature subset into a risk control model for analysis, outputting a risk score, and generating a risk control decision in combination with a dynamic threshold adjustment strategy. According to the method, the model iteration period is shortened, the training convergence speed is improved, the overall prediction performance and generalization ability of the risk control model are improved, and more reliable technical guarantee is provided for risk identification.

The invention discloses a social intelligent agent device and a cluster control method and device thereof, and the method comprises the steps: carrying out the statistics of different groups of Internet platform users, and constructing corresponding user feature portraits; according to the internet user feature portraits, user portraits are formed for the intelligent agents deployed to the cluster, and the intelligent agents with preferences are obtained; creating an information consumption activity task for the agent based on a BS architecture; information consumption data resulting from agent activity is collected. According to the invention, through agent portrait formation and task scheduling optimization, the simulation degree and cluster control efficiency of the social agent are improved. The behaviors of the intelligent agent are more diversified and natural, and user interaction can be simulated more truly. The cluster control mechanism is rapid and flexible in response, data synchronization and task distribution are more efficient, the problems that in the prior art, intelligent agent behaviors are single, cluster control is slow, data processing is complex, and real-time feedback cannot be achieved are solved, and the information spreading efficiency and the activity degree of the social platform are improved.

The invention discloses an accurate analysis method for Internet user behaviors based on artificial intelligence, and the method belongs to the technical field of Internet, and comprises the steps: collecting user behaviors and basic attribute information through a multi-source data collection technology, and integrating data through a data fusion algorithm after data cleaning and preprocessing; designing and extracting a plurality of behavior features, screening key features by using a feature selection algorithm, and performing feature transformation processing at the same time; constructing a deep learning model fusing a recurrent neural network (such as LSTM and GRU), a convolutional neural network and the like, training the model by using a large-scale data set, and optimizing parameters; establishing a real-time analysis system, inputting new data into the model in real time, providing personalized service and recommendation according to an analysis result, and collecting feedback data to update the model online; and finally, evaluating the model by adopting multiple evaluation indexes, verifying the generalization ability through methods such as cross validation and the like, and further optimizing and adjusting the model.

The invention provides a satellite internet endogenous security grading identity authentication method based on dynamic trust evaluation, which comprises the following steps: a user registration stage: collecting and storing all identity information of a satellite internet user and information of entity equipment used for login; in a user login stage, performing identity authentication on the user according to a security level identity authentication process corresponding to the user login authentication identity, and allowing the user to log in after successful authentication; and determining an initial trust value based on the user identity information, obtaining a dynamic trust score based on the dynamic behavior and the initial trust value, and judging that the identity is abnormal when the dynamic trust score is lower than a set security threshold.

The invention discloses an internet user behavior accurate analysis method based on artificial intelligence, which belongs to the technical field of internet and comprises the steps of S1, data acquisition and privacy enhancement processing, S2, behavior modeling and transparent analysis, S3, real-time risk prevention and control and abuse blocking and S4, feedback closed loop and continuous optimization. On the basis of analyzing user behaviors, the traditional contradiction between privacy and efficiency can be broken through, and systematic improvement of safety and efficiency can be achieved.

A method for authenticating the identity of a user who is attempting to access a website or conduct a transaction is described. The method involves receiving two geographical locations, and associated time stamps, of a mobile phone associated with the user, one of the locations being the location of the transaction or access attempt. The method determines whether the speed required to travel between the two geographical locations in the elapsed time is within acceptable limits. A confidence score, derived in part from this calculation, is taken into account when deciding whether to allow or deny the access or the transaction.

The invention relates to a wireless communication network technology, and discloses a covering and scheduling method and system for a low earth orbit satellite network to support a traditional broadcast service, and the method comprises the steps: forming a list containing all broadcast users with resource demands, grouping the users, and outputting a cell range with broadcast service demands; calculating to obtain a target throughput rate demand of each cell and a total target throughput rate demand of all broadcast demand cells under the coverage of a single satellite, wherein the satellite is based on signal quality information fed back by Internet users supporting bidirectional interaction in a target service cell and the target throughput rate demand of the cell; broadcast service beam resources needing to be distributed are obtained, beam hopping and beam staring processing is carried out, and the requirements of coverage and service continuity are met at the same time when broadcast users are served. According to the application, efficient, flexible and accurate broadcast resource scheduling and management can be realized, and continuous and seamless broadcast service experience is provided in a wide geographical range.

The invention discloses an Internet user behavior accurate analysis method based on artificial intelligence. The method comprises the following steps: obtaining user behavior data of an Internet platform; inputting the user behavior sequence into a Mamba network to generate a behavior state vector; inputting the commodity image set into an improved DeiT model, and setting a hierarchical feature routing controller; executing cross-modal feature interaction to generate a fusion feature tensor; inputting the fusion feature tensor into an IQL network; updating a fusion weight, high-level attention mapping and a routing control vector based on a value gradient resonance feedback mechanism; and outputting a user behavior analysis result and a personalized recommendation result. According to the method, the accuracy of Internet user behavior prediction and personalized recommendation can be remarkably improved, and the method is suitable for scenes needing high-precision user portraits and intelligent recommendation, such as a large-scale e-commerce platform and a content distribution platform.

The present invention provides a technology for precisely identifying the interest of an Internet user and dynamically adjusting an advertisement display according to the interest. That is, the present invention proposes a method and a system for advertisement utilizing AI gaze analysis, the method including the steps of: collecting image or video data including a user face through a user terminal (including a camera) to which an Internet advertisement is exposed so that the collected image or video data can be processed by the AI analysis tool installed in the user terminal or an advertisement server; extracting information related to the user's gaze from the collected image or video data by an analysis tool, and determining, on the basis of the user's gaze information, whether the user's gaze overlaps an advertisement display area in which the advertisement is posted; and changing an exposure method of the advertisement in the user terminal when the user's gaze is determined to be oriented toward the advertisement display area. Furthermore, the present invention also proposes a method capable of maximizing advertisement profits on the basis of analysis of a customer's gaze at a digital advertisement.

pn. "A system for collecting, analyzing and processing of user behavior data from multiple sources in order to create a personalized user distribution scheme with contextual selection of content on the website." 1. Identifying and collecting information about the Internet user and his behavior in real time. 2. Processing of available data in different time intervals. 3. Providing information (real-time and historical) on the Internet user's traffic on the website. 4. Automatic contextual selection of materials on the website The prepared platform is an IT system designed to build 'content' websites focused on interaction with Internet users. The platform contains a number of logical modules aimed at increasing the activation of the Internet user. Modules can connect to each other using webservices or other defined APIs required in a specific situation. This enables easy connection of platform modules with external applications. The individual components have been additionally divided into virtual zones, only within which communication and data flow are possible. As part of building the prototype, we try to embed new projects on the PaaS platform, but it is necessary to ensure full compatibility with previous solutions, which is why an application development strategy was adopted in the microservices model. Flowchart of information Assistant (IA)) 1. Each internet user is automatically marked and assigned a unique identifier. 2. On each page or in our application there are IWA scripts that send information to the collector: 1. Describing the client environment, i.e. the type of application, operating system, browser information, IP addresses, adblock information, etc. 2. Optional (if completed) personal information such as demographic data such as age, gender, place of residence, e-mail hash, IDFA / GAID advertising identifiers. 3. Internet user's traffic on our websites, i.e. where he was, when and where did he come from and where he went, and what types of materials he viewed. 3. All the above data goes to our Big Data system, after appropriate transformation to the appropriate formats. 4. For all our products (internet services), a common content categorization taxonomy has been developed, which is used at subsequent stages to determine the interest groups of Internet users. 5. Based on the collected data, applications work in which we have developed a number of algorithms that are aimed at: 1. Preparation and calculation of an Internet user profile. 2. Preparation of tables describing thematic interests for each Internet user identified by us. 3. Reconstruction of Internet user IDs and implementation of the so-called cross-device identification. 6. On the basis of the collected data, another group of applications with recommendation and predictive algorithms works, the purpose of which is: 1. Preparation of a stream of information that is selected and arranged in such a way that the Internet user increases his engagement by making more views on our websites. 2. In the information stream, we inject additional individual supplementary information depending on the data resulting from the Internet user profile.

A method for authenticating the identity of a user who is attempting to access a website or conduct a transaction is described. The method involves receiving two geographical locations, and associated time stamps, of a mobile phone associated with the user, one of the locations being the location of the transaction or access attempt. The method determines whether the speed required to travel between the two geographical locations in the elapsed time is within acceptable limits. A confidence score, derived in part from this calculation, is taken into account when deciding whether to allow or deny the access or the transaction.

To provide an information processing system and method for reducing labor and time when manually monitoring contribution information contributed to a plurality of contribution sites.SOLUTION: In the information processing system, a management server 10 includes an acquisition unit 11 that acquires posted information corresponding to a specific object from each of a plurality of posting sites (posting site servers) that disclose posted information posted by users who have used the specific object on the Internet, and an output unit 12 that outputs the posted information corresponding to the specific object acquired from each of the plurality of posting sites to be displayed in a list.SELECTED DRAWING: Figure 2

The present invention discloses a method for intelligently generating a three-dimensional target based on a single photo, comprising the following steps: S1, constructing a data set, including a single character model and a scene composed of multiple characters, obtaining textured renderings under multiple perspectives and original height maps under corresponding perspectives; S2, constructing a feature extraction network model, wherein the feature extraction network model includes a structural feature extraction module and a detail feature extraction module, inputting an original height map, obtaining a structural height map through the structural feature extraction module, and obtaining a detail height map through the detail feature extraction module; S3, obtaining a complete three-dimensional target image model through weighted fusion of the obtained structural height map and detail height map; S4, performing optional post-processing on the three-dimensional target image model to perform feature enhancement. This method reduces the dependence and requirements of the process on equipment and professional skills, lowers the threshold for each Internet user to produce virtual content, and makes it as convenient as taking a photo.

This application provides a general online AI streaming processing method, apparatus, device, and medium. The method includes: querying the cached results in the video AI buffer of an AI server based on a video prediction request sent by a user; if no cached result corresponding to the URL address is found in the video AI buffer, the video AI processing thread of the AI ​​server checks whether a playback instruction sent by the user has been received within a preset time threshold from the first current time; if a playback instruction sent by the user is confirmed to have been received, the video AI processing thread retrieves the video image from the media server pointed to by the URL address, and sends the AI ​​prediction result of the video image as the cached result corresponding to the URL address to the video AI buffer. This method allows a wide range of internet users to find different media servers based on different URL addresses and perform online AI prediction on the video images from the media servers, which is very convenient.

The present invention discloses a method and device for monitoring Internet user experience, and relates to the field of computer technology. A specific implementation of the method includes: constructing an eye movement heat map based on a facial image data set and page behavior data of a user during the browsing process of a target page, and fitting the eye movement heat map of each user to obtain a first layer; constructing a page screenshot based on the document tree structure and page data of the target page; fitting the first layer and the page screenshot to obtain a user experience cloud map, performing image analysis on the first layer to obtain an optimized analysis result, and using the user experience cloud map and the optimized analysis result as a user experience monitoring result. This implementation improves the reliability and significance of the data, and the data analysis results are more accurate.

[Problem] To realize interactive participation in a virtual funeral in real time, to improve emotional connectivity, and to enable sharing of a realistic sense of presence and live attendance.　[Solution] The present invention comprises: a virtual space management unit that manages and controls a virtual space including a virtual funeral hall that is set on the coordinates of the virtual space; a real space management unit that acquires, on the coordinates of a real space including the three-dimensional outline of a funeral hall installed in the real space, a geographical element within the real space; a capture unit that acquires the current position and behavior of a real user in the real space; a virtual space data generation unit that, on the basis of the current position and behavior of the real user acquired by the capture unit, generates virtual space data in which a synchronous avatar and a related object appear in the virtual space; and a distribution unit that distributes the virtual space data in a viewable manner through a communication network. The virtual space data generation unit causes a remote avatar of a net user to appear in the virtual space in accordance with a remote operation performed by the net user.

The application discloses a DNSKEY smooth change-based authoritative server abnormal change detection method and system, and belongs to the DNS security field. The application is based on the rule that DNSKEY cannot be directly updated along with the change of the authoritative server of a domain name, uses trusted DS records to verify DNSKEY, thereby verifying the authenticity of the change of the authoritative server of the domain name, and accurately identifying the abnormal change of the authoritative server. A DNSKEY smooth change-based authoritative server abnormal change detection system is constructed, can perform timed detection on the domain name, accurately identifies the abnormal change of the authoritative server of the domain name, and avoids the adverse effects of the domain name on internet users after the domain name is maliciously tampered with.

The present application relates to the technical field of artificial intelligence, in particular to a slow internet user identification method, device and equipment and computer storage medium. The slow internet user identification method disclosed by the present application uses the random forest and curve fitting method in machine learning to identify the slow internet user of home broadband. The random forest algorithm is used to determine the importance of the index, the curve fitting is used to determine the index threshold, the slow internet user identification rule is obtained, and the slow internet degree of the user identified as the slow internet user is calculated through the formula, so that the quantitative division of the slow internet user is realized, and the accuracy of the slow internet user identification is improved.

The infectious disease early warning data processing method based on Internet platform search provided by the present invention relates to the technical field of infectious disease early warning. The method includes collecting and preprocessing Internet user search data, extracting infectious feature information, and constructing an infectious disease feature database; determining the users to be observed through matching, determining their locations, and analyzing the spread of infectious diseases; recording the statistical information of the users to be observed, integrating it into disease observation information and storing it as historical disease information; using the historical disease information to construct a training set, training local and neighboring area logistic regression models, adjusting the local prediction value with the neighboring area prediction value, and integrating to obtain a common infectious disease prediction model. This method can capture the epidemic signal before patients seek medical treatment, give early warnings in advance, cover the population who have not sought medical treatment, accurately monitor in combination with IP positioning, eliminate data blind spots, and improve the comprehensiveness and representativeness of monitoring.

The present application relates to the field of data feedback analysis, and more particularly to an internet new media data feedback generation method and system. The method comprises the following steps: obtaining new media video in production and internet user feedback big data; performing multi-period decomposition and individual video segment deep semantic analysis on the new media video to construct multiple content label video segments; performing social communication effect mining and video communication effect conversion rate calculation according to the internet user feedback big data to generate the social communication conversion rate of each video segment; performing positive and negative communication effect inference according to the social communication conversion rate, and performing communication conversion value evaluation on the multiple content label video segments to generate the communication conversion value of each video segment. The present application dynamically optimizes new media data based on user demand and interest feedback, and extracts the quality and communication effect of video content.

Techniques for anonymizing user activity. Messages from a C3N user device may be processed by a proxy application running within a containerized environment of the device. Messages may be directed to a C3N grid network for endpoints located within the C3N ecosystem and avoid the Internet entirely. User activity can be obfuscated by nodes of the grid network, which can generate and / or route fake messages along with a real message.

Methods and systems for identifying potentially harmful misdirection to a malicious URL to thwart a malicious phishing attack. The methods and systems capture an image of a target URL of a high-risk website and analyze the captured image to compare the apparent meaning of the captured image to a set of known URLs. Differences between the captured image and the known URLs are calculated based on a zone of familiarity for an Internet user calculated on prior computer activity of the user and a departure of the target URL from the zone of familiarity. The method and system identify whether the target URL is a potentially malicious URL based on the calculated difference. A warning is generated if the target URL is identified as a potentially malicious URL.

The invention discloses an authoritative server abnormal change detection method and system based on DNSKEY smooth change, and belongs to the field of DNS security. According to the method, the DNSKEY is verified by using the trusted DS record based on the rule that the DNSKEY cannot be directly updated along with the change of the authoritative server of the domain name, so that the authenticity of the change of the authoritative server of the domain name is verified, and the abnormal change of the authoritative server is accurately identified. According to the method and the system, the authoritative server abnormal change detection system based on DNSKEY smooth change is constructed, the domain name can be regularly detected, the abnormal change of the domain name authoritative server is accurately identified, and the adverse effect on Internet users after the domain name is maliciously tampered is avoided.

An exemplary system and method for employing (i) a private spectrum bastion configured to verify every request to access a public server and respond to the requests with puzzles having spectrum access information to limit the impact of malicious traffic to a network spectrum, and (ii) privacy-preserving transmission and authentication protocols that obfuscate internet users' identifications when they request access from or communicate with a public server. The bastion provides computational puzzles embedded with spectrum access information to throttle malicious traffic at the network spectrum. The bastion operates with post-quantum cryptographic components and privacy-preserving protocols. The privacy-preserving protocols remain confidentiality of user identities and access patterns.

The invention provides a quasi-real-time dynamic IP blacklist control method, a storage medium and electronic equipment. The method comprises the following steps: collecting log data accessed by Internet users based on a distributed message queue; acquiring user access feature data for the log data accessed by the internet user based on a real-time analysis database; judging whether an abnormal IP identification process is triggered based on the user access feature data, performing abnormal IP risk assessment based on the user access feature data, a plurality of preset abnormal IP matching factors and a priority sequence of the matching factors when the abnormal IP identification process is triggered, and determining a blacklist IP list according to a result of the abnormal IP risk assessment; and synchronizing the blacklist IP list to a cache service, and intercepting the IP in the blacklist IP list based on interaction between a web service and the cache service. According to the invention, the real-time performance and accuracy of IP blacklist protection can be effectively improved.

The present application discloses a load balancing method, system and storage medium. The method includes: passing the load balancing parameters configured at the Octavia front end to the configuration file of Nginx through the Amphora agent, and restarting and monitoring the status of Nginx; after receiving a user request, using the full-user-space F-stack to directly transmit the request data packet from the network card to the Nginx in the user space; running Nginx in multiple processes to concurrently receive and distribute the request data packets to the resource pool members providing services, so as to perform load balancing and response of request messages. In this way, the resources and time consumed by packet forwarding can be reduced, the quality and efficiency of the load balancing service can be significantly improved, the utilization rate of computing resources in the cloud environment and the response efficiency of requests in the cloud environment can be greatly enhanced, and the high-concurrency request requirements of Internet users can be met.

The present invention belongs to the technical field of network security event analysis and discloses a network security event analysis method, comprising: collecting network security event information, the network security event information including hazard factors; receiving computer infection quantity information, propagation speed information, and direct loss information in the hazard factors, marking the computer infection quantity information, propagation speed information, and direct loss information as Jsi, Csi, and Zsi, respectively, performing a formulaic analysis on the information to obtain an event hazard coefficient Whxi; generating a high hazard mark, a medium hazard mark, and a low hazard mark for a corresponding network security event according to the magnitude of the event hazard coefficient Whxi; and rationally and effectively filtering out network security events with low hazard levels by analyzing the hazard factors of the network security events, thereby enabling Internet users to clearly recognize and understand the real security threats in the target network, drawing sufficient attention thereto, and reducing losses caused by the corresponding network security events.

This invention belongs to the field of internet user preference prediction technology, specifically relating to a user preference prediction method based on data debiasing. The method includes: acquiring video data and user data; processing the video data and user data using an embedding layer to obtain user embeddings and video embeddings; debiasing the user embeddings and video embeddings to obtain debiased user embeddings and debiased video embeddings; processing the user embeddings, video embeddings, debiased user embeddings, and debiased video embeddings using a feature filtering layer to obtain user-specific feature importance weights and video-specific feature importance weights; processing the user-specific feature importance weights and video-specific feature importance weights using a factorization machine to obtain a user interest representation vector; and inputting the user interest representation vector into an output layer for processing to obtain the user preference prediction result. This invention can accurately and effectively predict user preferences, improving the accuracy of user preference prediction.

This invention discloses an intranet traversal system, comprising a client and a server. The client runs on a computer within a local area network (LAN), and the server runs on a cloud host. Each client connects to an internal service within the LAN. When the corresponding internal service requires traversal, the client initiates a connection request to the server. The server receives the connection request from the client, establishes a tunnel with the client, and starts a proxy service for the internal service corresponding to that client. The proxy service receives access requests from internet users and forwards them to the internal service within the LAN via the server and client. This invention provides strong computing and storage services while controlling costs and simplifying intranet traversal operations.

The invention relates to the technical field of data processing, in particular to a power internet sensitive personal information compliance risk early warning method and system. The risk early warning method comprises the following steps: acquiring sensitive personal information types of power internet users; determining a personal information processing stage of the sensitive personal information type; calling a first AI model, inputting a sensitive personal information type and an information processing stage, and respectively obtaining a user right influence weight and a safety guarantee level corresponding to the sensitive personal information type; calling a second AI model, and inputting a user right influence weight and a safety guarantee level to obtain a sensitive personal information compliance risk level; and sending risk early warning information according to the compliance risk level. According to the invention, compliance evaluation and early warning can be automatically carried out on sensitive personal information of the power internet, and the accuracy of compliance work is improved.