30 results about "Social media network" patented technology

Methods and systems are provided for facilitating shopping for products that have been liked to a social media network. A product can be seen on a merchant's website, for example. The product can be liked by user to the social media website. When the same or a different user subsequently sees the liked product on the social media website, the same or different user can purchase the product from the social media website. Thus, the user is not required to visit the merchant's website to perform the purchase transaction. Upon completion of the purchase, the user can be allowed to leave feedback to rate the item according to a predefined scale, which can be visible to all those who view the item, as exhibited by a vendor on the social media platform.

The present application discloses a method for performing an interactive exchange over a social media network, the method comprising a sequence of steps (i., ii., iii., iv., v.) performed in sequence, comprising receiving an interaction request (i.), verifying the interaction request (ii.), providing only a link (iii., iv.) of content for performing an interactive behavior to the verified user, and checking whether the interactive behavior (v.) has been performed. In a preferred aspect, the method implements a reward mechanism, ensuring a balance between all users who initiate the request and provide interaction, thereby promoting transparency and fairness between all user identities when performing the interactive behavior.

Examples are provided that relate to implementing actions on social media network content based on natural language input. One aspect includes a computing system configured to implement a social media network, the computing system including one or more processors and a storage device, the storage device including instructions executable to receive user input from a dialog agent, the user input including a natural language description of a request for an action of a content item, the dialogue agent is configured to participate in a dialogue using at least a language model and generate cues to the language model based on at least a user input. The instructions are further executable to input the cue word to the language model to generate an output describing an operation for implementing the action, invoke a backend service of the social media network to execute the command to implement the operation, and output a result of executing the command.

Methods and systems are disclosed herein for sharing content through links via social media networks. A system accesses a link post on a social networking service with a link to access shared content via a network. The system determines that a device associated with a user account has limited access to the shared content. Based at least in part on determining that the device associated with the user account has limited access to the shared content, the system identifies alternative content and provides the alternative content for consumption via the device associated with the user account.

A method, computer program product, and computer system for identifying, by a computing device, content of a first social media post from a first user of a simulated social network. Content of a second social media post from a second user of the simulated social network may be identified. It may be determined that the first social media post is a candidate for an engagement event by the second user. The engagement event may be executed by the second user.

System and methods for providing private social networks, which are cloud-based in some instances, are provided herein. A method includes receiving a selection of the digital data on a private user secure data storage device from a first user, receiving a selection of one or more individuals to be given access to the digital data, applying access rights for the digital data, creating a URL that points to a location within the private user secure data storage device where the digital data resides, posting the URL to a plurality of social networks using a shared message, receiving a request from a second user for the digital data when the second user clicks the URL in the shared message, and serving the digital data to the second user directly from the private user secure data storage device without storing the digital data on any of the plurality of social networks.

In an approach for creating educational case study content based on crowdsourced media content, a processor receives a request for a video to be used with a case study and determines one or more requirements for the video. Based on the one or more requirements, the processor retrieves a plurality of crowdsourced videos from a social media network and determines at least one set of the plurality of crowdsourced videos that can form a closed loop contour. The processor further, based on the at least one set of the plurality of crowdsourced videos, creates the video to be used with the case study.

Systems and methods for network security testing of target computer networks using AI neural networks. A command and control server controls a number of geographically separated processors running a number of neural networks. A central data hive is accessible to all the processors. The processors are organizable into logical hemisphere groupings for specific tasks and / or projects. For security testing, hemisphere groupings are created for the project. Based on data for the target system on the data hive, attacks are formulated by a hemisphere grouping and these potential attacks are tested against known characteristics of the target network. Validated potential attacks and, in some cases, random attacks, are executed and data generated by the executed attacks are stored in the data hive for use in formulating and executing other further attacks. Potential attacks may involve mining social media networks for data on users of the target system.

The present teaching relates to online user profiling. In one example, content associated with a first user of a social media network is obtained. From the content associated with the first user, a first link to a first piece of content is identified. A second user of the social media network associated with the first user is determined in the context of the social media network. From content associated with the second user of the social media network, a second link to a second piece of content is identified. The first and second pieces of content are retrieved based on the first and second links, respectively. User profile of the first user is generated based, at least in part, on the first and second pieces of content.

Examples provided herein are directed to social-media playback queues. In one example, a computing system may be configured to (i) receive an identifier of a media playback system, (ii) link the identifier with a social-media account, (iii) based at least on linking the identifier with the social-media account, generate a social-media playback queue that is fillable with one or more media items playable by the media playback system, (iv) establish access permissions to the social-media playback queue, where the access permissions indicate at least one additional social media account that (a) is within a social-media network of the social-media account, and (b) has access to the social-media playback queue, (v) receive, from a computing device affiliated with the at least one additional social-media account, an indication of a media item to be added to the social-media playback queue, and (vi) add the media item to the social-media playback queue.

Techniques are described with respect to a system, method, and computer product for sharing social media-based virtual environment collaboration. An associated method includes analyzing a virtual environment; determining a plurality of contextual information and a secure social-media zoning associated with the virtual environment based on the analysis; and presenting the virtual environment to a social media network associated with a user based on the secure social-media zoning; wherein the secure social-media zoning comprises an audience comprising a derivative of the social media network.

Systems and methods are provided for analyzing images or video using computer vision. Media items, including images or videos, are retrieved from one or more media channels, such as social media network services, streaming media networks, or broadcast networks. Based in part on application of computer vision techniques, a media item is identified that depicts an object associated with a sponsor. A media cost equivalent and associated sponsor valuation is then determined that is associated with the media item as distributed by the media channels.

Systems and methods for network security testing of target computer networks using AI neural networks. A command and control server controls a number of geographically separated processors running a number of neural networks. A central data hive is accessible to all the processors. The processors are organizable into logical hemisphere groupings for specific tasks and / or projects. For security testing, hemisphere groupings are created for the project. Based on data for the target system on the data hive, attacks are formulated by a hemisphere grouping and these potential attacks are tested against known characteristics of the target network. Validated potential attacks and, in some cases, random attacks, are executed and data generated by the executed attacks are stored in the data hive for use in formulating and executing other further attacks. Potential attacks may involve mining social media networks for data on users of the target system.

Examples relating to implementing actions on social media network content based on natural language input are provided. One embodiment includes a computing system configured to implement a social media network, the computing system comprising one or more processors and a storage device containing instructions, the instructions being executable to receive user input from a conversational agent configured to engage in interaction using at least a language model, the user input containing a natural language description of a request for an action on a content item, and generating a prompt for the language model based at least the user input. The instructions are further executable to input the prompt into the language model to generate an output describing an operation for implementing the action, to implement the operation by calling a backend service of the social media network to execute the command, and to output the result of executing the command.

Methods, systems, and apparatus including computer programs encoded on computer storage media for implementing a decentralized social-media network. The system platform servers of a social-media platform and a stand-alone client, instances of which are downloadable to and executable on devices of end users to interface with the platform servers. The servers have computer-executable instructions to compute a measure of reputation based on engagements within a community, including moderation work of community content, and based on highly idiosyncratic community-specific rules. The stand-alone client has computer-executable instructions to generate and store a public-private key pair, which is accomplished to the exclusion of the servers. The key pair enables recording of the measure of reputation and related changes on decentralized computing resources in a way that is verifiable. The system can port the measure of reputation off-platform in a way that ensures data coherency and data fidelity amongst data stores of the system.

The application discloses a kind of social media network slang semantic change automatic detection and interpretation method and system, two stages of entire scheme, through two stages automatic detection and understanding social media comment in network slang semantic change phenomenon, in the first stage, by the distance of the corresponding vector representation of word in different corpus, can find the word that occurs changes in semantics (i.e. Network slang);Second stage, use multi-modal information can generate network slang explanation text, so as to accurately translate the real meaning of network slang.

The present invention belongs to the field of graph neural network technology, and specifically relates to a malicious account detection method and device that automatically evaluates heterogeneous graph meta-paths. The method includes obtaining information from social media networks to construct a heterogeneous graph of social network relationships; projecting different types of entity features of accounts, posts, and communities at each layer of the heterogeneous graph neural network; performing intra-type aggregation of different types of entity nodes of accounts, posts, and communities at each layer of the heterogeneous graph neural network; and performing inter-type aggregation of different types of entity nodes of accounts, posts, and communities at each layer of the heterogeneous graph neural network. The optimal meta-path is found by calculating the scores of the meta-paths of the heterogeneous graph neural network, thereby performing malicious account detection. The present invention can realize the automatic search and mining of meta-paths in the heterogeneous graph of social network relationships, solving the problem that meta-paths in malicious account detection methods of heterogeneous graphs require manual design.

Examples provided herein are directed to social-media playback queues. In one example, a computing system may be configured to (i) receive an identifier of a media playback system, (ii) link the identifier with a social-media account, (iii) based at least on linking the identifier with the social-media account, generate a social-media playback queue that is fillable with one or more media items playable by the media playback system, (iv) establish access permissions to the social-media playback queue, where the access permissions indicate at least one additional social media account that (a) is within a social-media network of the social-media account, and (b) has access to the social-media playback queue, (v) receive, from a computing device affiliated with the at least one additional social-media account, an indication of a media item to be added to the social-media playback queue, and (vi) add the media item to the social-media playback queue.

Systems and methods provide social media management capable of identifying parties on social media networks and providing social media and business records related to those parties.

Systems and methods are described to dynamically generate metadata for a live media stream. The system determines that a first user on a social media network has started a live media stream. In response, the system identifies a topic of the live media stream based on a frame of the live media stream and identifies another person featured in the frame of the live media stream based on social connections of the first user in the social media network. The system then generates a title for the live media stream based on the identified topic and the identified person, and transmits a notification to a second user that the first user is streaming live, where the notification includes the generated title.

Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

Certain aspects of the disclosure pertain to a student-informed generative education platform. Students' interaction with a social media network can be analyzed using natural language processing to build profiles capturing individual interests, perspectives, and sentiments. A generative machine learning model can be employed that is trained to generate an educational challenge based on a curriculum goal input by an instructor and a student profile. The educational challenges are tailored for each student based on the student's background. Feedback loops can be employed to continuously refine generated educational challenges from the generative machine learning model based on monitoring student engagement.

Watermarking media content, in combination with blockchain and distributed storage networks, prevents the proliferation of Deepfake content. Digital watermarks are embedded in the audio and video tracks of video clips of trusted content producers at the time the videos are captured or before they are distributed. The watermarks are detected at the social media network's portals, nodes, and back ends. The embedded watermark imparts a unique identifier to the video, that links it to a blockchain. The watermarks also allow video source tracking, integrity verification, and alteration localization. The watermark detectors can be standalone software applications, or they can be integrated with other applications. They are used to perform three main tasks: (1) they alert the Internet user when he watches an inauthentic news video, so that he may discard it, (2) they prevent a Deepfake content from propagating through the network (3) they perform forensic analysis to help track and remove Deepfake content postings.

Watermarking media content, in combination with blockchain and distributed storage networks, prevents the proliferation of Deepfake content. Digital watermarks are embedded in the audio and video tracks of video clips of trusted content producers at the time the videos are captured or before they are distributed. The watermarks are detected at the social media network's portals, nodes, and back ends. The embedded watermark imparts a unique identifier to the video, that links it to a blockchain. The watermarks also allow video source tracking, integrity verification, and alteration localization. The watermark detectors can be standalone software applications, or they can be integrated with other applications. They are used to perform three main tasks: (1) they alert the Internet user when he watches an inauthentic news video, so that he may discard it, (2) they prevent a Deepfake content from propagating through the network (3) they perform forensic analysis to help track and remove Deepfake content postings.

A golf swing tracking system includes a wearable device. The wearable device has a camera, a processor and a signal transceiver. The camera is connected to the processor. The processor is in connected to the signal transceiver. The golf swing tracking system further includes an electronic device. The electronic device includes a signal receiver. The signal receiver is designed to receive a collection of data from the signal transceiver of the wearable device. The electronic device has a display and is programmed to execute an application. The application is designed to display the collection of data and to transmit the collection of data to a network, such as a social media network.

A computer implemented method for providing social media data to brands comprising pairing a user with a brand in response to the user requesting a connection with the brand. A privacy agreement is made between the user and the brand to facilitate receiving social media data related to the user. A user data package is created that includes at least a portion of the social media data and the user data package includes data based on instructions from the brand. Data is removed from the user data package that is excluded by the privacy agreement to create a filtered data package. The filtered data package is then sent to the brand. Remote social media data is received from a remote social media network in response to the user selecting a link with the remote social media network and the remote social media data is added to the social media data.

A method may include (1) identifying, using a machine-learning-based summarization model, interests of a user of a social media network, (2) extracting, using the machine-learning-based summarization model, information from a post to the social media network that aligns with the user's interests, and (3) generating, using the machine-learning-based summarization model, a personalized notification message for the user that is based on the information extracted from the post that aligns with the user's interests. Various other methods and systems are disclosed.

A method, computer program product, and computer system for identifying, by a computing device, a first agent on a 2-dimensional plane. A second agent on the 2-dimensional plane may be identified. The first agent and the second agent may follow a set of travel rules that dictate a travel loop between a respective home and a respective target for the first agent and the second agent. The first agent and the second agent may follow a set of collision rules for the first agent and the second agent. A social network may be simulated based upon, at least in part, the set of travel rules and the set of collision rules for the first agent and the second agent.

A BMC detects an error within the host computer system. The BMC automatically generates an error message that includes an error code and a description of the error. The BMC transmits the error message to a device social network configured to facilitate communication between computing devices and a support cloud, when the error message is allowed to be automatically submitted to the device social network. The BMC receives a response message from the device social network. The response message includes at least one of a solution to the error and a notification regarding the error.

Techniques are provided for controlling virtual holiday experiences. In one embodiment, the techniques involve receiving a virtual itinerary, wherein the virtual itinerary includes a virtual holiday destination and a user preference, retrieving media of the virtual holiday destination based on the virtual itinerary, wherein the media is retrieved from a social media network or a public media database, generating a virtual environment based on the media, and generating a virtual representative of a user in the virtual environment.