Abstract: Systems and methods for detecting and using semantic relatedness to classify segments of digital text are disclosed. More particularly, embodiments determine the semantic relatedness of segments of text to abstract categories where the abstract categories are not defined by a single word or semantic concept. Detecting semantic relatedness includes analyzing text, embedding the text, and determining semantic relatedness to a set of concepts for a category where each concept may include a set of words/phrases embedded in a similar fashion. The text embedding can be projected onto each concept embedding and reduced to a score representing semantic relatedness. The text is classified based on the semantic relatedness.

Abstract: According to an aspect, a method for ranking messages of conversation graphs in a messaging platform using machine-learning signals includes receiving a conversation view request to retrieve messages of a conversation graph stored on a messaging platform and determining a plurality of predictive outcomes for each of a plurality of messages of the conversation graph using predictive models. The determining step may include obtaining a plurality of signals relevant to the predictive models, the plurality of signals including data structure-related signals relating to the conversation graph and inputting the plurality of signals to the predictive models. The method includes ranking the plurality of messages based on the predictive outcomes and transmitting at least a subset of the plurality of messages to be rendered on a client application according to the rank.

Abstract: Techniques for consent centric data compliance checking are disclosed. In an example embodiment, multiple applications associated with an organization are received. Further, a purpose for each of the multiple applications associated with the organization is derived. Furthermore, consents of data subjects are captured for the derived purpose of each of the multiple application in a data subject preference master. Also, reconciliation of the data subject preference master and data subjects' data available in the organization is performed to determine consent lacking information.

Abstract: According to an aspect, a method for ranking messages of conversation graphs in a messaging platform using predictive outcomes includes receiving, over a network, a conversation view request to retrieve messages of a conversation graph stored on a messaging platform, and determining, by the messaging platform, a plurality of predictive outcomes for each of a plurality of messages of the conversation graph using predictive models. The plurality of predictive outcomes includes a reciprocal engagement probability. The method includes ranking, by the messaging platform, the plurality of messages based on the predictive outcomes, and transmitting, by the messaging platform, over the network, at least a subset of the plurality of messages to be rendered on a client application according to the rank.

Abstract: Systems for high-performance distributed computing. The systems include techniques for managing data and metadata across multiple nodes. A method embodiment commences by storing data at a node using a first storage mechanism that is local to the node. A first set of metadata is configured to identify a storage location for the stored data. The first set of metadata is stored using the same first storage mechanism that is local to the node. For accessing the first set of metadata, a second set of metadata is configured to identify a storage location for the first set of metadata. The second set of metadata is stored using a second storage mechanism that comprises a distributed metadata storage facility that stores metadata across multiple storage locations having at least one of the multiple storage locations that is not local to the node that stores data and metadata using the first storage mechanism.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to manage digital assets owned by a user and hosted by a first online service provider and a second online service provider. Provided herein is a gateway system comprising: a trusted authentication interface; one or more processors; and memory including instructions that, when executed, cause the one or more processors to at least: authenticate the user with the first and second online service providers using the trusted authentication interface; and instruct, via the trusted authentication interface, the first and second online service provider to take an action with respect to one or more of the digital assets, the first and second online service providers to trust the instructions from the trusted authentication interface without further authenticating the user.

Abstract: Methods of and systems for identifying a discrete participant among a plurality of participants in an audio/video communication (e.g., video content, digital video content, audio content, and audio-visual content) that include: receiving the audio/video communication; identifying from the audio/video communication content (e.g., using metadata from the broadcast content to identify each participant) multiple identification-related features for each participant; associating a first identification-related feature of a first participant to a second identification-related feature of the first participant; organizing the associated identification-related features of the first participant into a feature class(es); logically relating a first feature class to a second feature class; and attributing a grouping of logically-related feature classes to the discrete participant.

Abstract: Systems for high-performance distributed computing. The systems include techniques for managing data and metadata across multiple nodes. A method embodiment commences by storing data at a node using a first storage mechanism that is local to the node. A first set of metadata is configured to identify a storage location for the stored data. The first set of metadata is stored using the same first storage mechanism that is local to the node. For accessing the first set of metadata, a second set of metadata is configured to identify a storage location for the first set of metadata. The second set of metadata is stored using a second storage mechanism that comprises a distributed metadata storage facility that stores metadata across multiple storage locations having at least one of the multiple storage locations that is not local to the node that stores data and metadata using the first storage mechanism.

Abstract: Described are techniques for automatically generating tables or other types of output for comparing attributes of similar items. For each attribute of a particular item, a system may determine whether that attribute is generic to most items or specific to an item or category, whether data for that attribute is available for a sufficient number of items, and whether the value of that attribute differs among a sufficient number of items to facilitate a useful comparison. Responsive to user input, item data and one or more tables or other types of output may be provided to a user device. User input interacting with a table(s) or other output may be used to modify the stored table or output or to navigate to other tables, outputs, or item data.

Abstract: Systems, methods, and apparatuses for implementing a distributed, hierarchical, and iterative data graph processing strategy are disclosed. A large data graph is partitioned and the partitions are clustered. Sets of keys and hashes are generated for each cluster and distributed to a plurality of processing machines. The processing machines recreate the partitions, based on received hashes and keys of the clusters of the first partitions, and the graph. Thereafter, the partitioning, clustering and processing is repeatable for the recreated graphs. The disclosed strategy enables processing of large and dynamic data graphs, including bipartite query-Uniform Resource Locator graphs.

Abstract: System and method for providing fault tolerance in virtualized computer systems use a first guest and a second guest running on virtualization software to produce outputs, which are produced when a workload is executed on the first and second guests. An output of the second guest is compared with an output of the first guest to determine if there is an output match. If there is no output match, the first guest is paused and a resynchronization of the second guest is executed to restore a checkpointed state of the first guest on the second guest. After the resynchronization of the second guest, the paused first guest is caused to resume operation.

Abstract: Methods of and systems for identifying a discrete participant among a plurality of participants in an audio/video communication (e.g., video content, digital video content, audio content, and audio-visual content) that include: receiving the audio/video communication; identifying from the audio/video communication content (e.g., using metadata from the broadcast content to identify each participant) multiple identification-related features for each participant; associating a first identification-related feature of a first participant to a second identification-related feature of the first participant; organizing the associated identification-related features of the first participant into a feature class(es); logically relating a first feature class to a second feature class; and attributing a grouping of logically-related feature classes to the discrete participant.

Abstract: A device may select an enterprise content management (ECM) system for monitoring. The ECM system may include a set of subsystems. The device may monitor the set of subsystems of the ECM system based on selecting the ECM system for monitoring. The device may perform a set of health checks on the set of subsystems based on monitoring the set of subsystems. The set of health checks may include a validation of a set of network addresses associated with the set of subsystems, an analysis of a set of log files associated with the set of subsystems, and a determination of a set of metrics associated with the set of subsystems. The device may generate a health check report based on the set of health checks. The device may provide the health check report.

Abstract: In a computer system running at least a first virtual machine (VM) and a second VM on virtualization software, a computer implemented method for the second VM to provide quasi-lockstep fault tolerance for the first VM includes executing a workload on the first VM and the second VM that involves producing at least one externally visible output and comparing an externally visible output of the second VM with an externally visible output of the first VM to determine if there is an output match. In response to a determination that the externally visible output of the second VM does not match the externally visible output of the first VM, a resynchronization of the second VM is executed. The externally visible output of the first VM is kept from being output externally until completion of the resynchronization.

Abstract: An approach is provided in which a risk assessment is performed that accesses the risk to a user of an information handling system due to the user's link to a social network contact. Risky action values is received with the values corresponding to the social network contact. A risk level is calculated with the risk level corresponding to one or more of the risky action values. A preventative security action is then performed based on the calculated risk level. In another embodiment, an approach is provided in which the potential risks posed by a user are transmitted to the user's social network contacts. In this approach, potentially risky actions that are performed by the user are detected. Risky action values are identified that correspond to the detected potentially risky actions. The risky action values are then transmitted to the user's social network contacts over a computer network.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selection of ranked configurations.