Abstract: An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization. Desired outcomes can include, for example: an advocate sending a message to a policymaker or legislative representative advocating in favor or the organization's position on an issue; a policymaker acting or voting in favor of the organization's position on an issue; or an advocate making a financial contribution to the organization. The machine learning models can be configured to select possible message characteristics or features that the system will include/use in creating/sending messages to/for individual senders and recipients. The machine learning models can be trained based on message characteristics, personal profile characteristics of senders/recipients, and outcomes from previously sent messages.

Abstract: A method, computer system, and a computer program product for personalized content is provided. The present invention may include monitoring media content from one or more platforms based on user preferences. The present invention may include identifying related media content from the one or more platforms. The present invention may include determining one or more pairs of related media content based on a confidence score. The present invention may include assembling the one or more pairs of related media content based on rules of a media content engine. The present invention may include generating personalized media content.

Abstract: Multiple media delivery subsystems are connected via a communications network, and are configured to transfer broadcast content among themselves. A media distribution device communicates with the media delivery subsystems via the communications network. The media delivery subsystems transmit temporal priority messages to the media distribution device. A temporal priority message is used to indicate a temporal priority of a media item from the perspective of the media delivery subsystem associated with the message. The media distribution device manages transfers of broadcast content from one media delivery subsystem to another media delivery subsystem in accordance with the temporal priority messages.

Abstract: One or more embodiments of this specification provide methods and apparatuses for transmitting messages. A method includes: registering, based on a registration request sent by each blockchain node in a blockchain relay communication network, a blockchain node to a blockchain node set indicated by the registration request; determining, in response to receiving a blockchain message to be sent to a target blockchain node set, a target blockchain node registered to the target blockchain node set and a target relay node in the blockchain relay communication network; and transmitting the blockchain message to the target blockchain node through the target relay node.

Abstract: An apparatus comprises a processing device configured to select a given notification to be delivered from a first computing device to a second computing device and to determine (i) first notification metrics associated with one or more previous notifications delivered to a set of one or more computing devices including the second computing device and (ii) second notification metrics associated with a current status of the second computing device. The processing device is also configured to provide the first and second notification metrics to one or more machine learning models, to identify recommendations for modifying delivery of the given notification from the first computing device to the second computing device based on output of the one or more machine learning models, and to modify the delivery of the given notification from the first computing device to the second computing device based on the identified recommendations.

Abstract: The media production element (12) combines media content from a plurality of streaming electronic devices when they are registered to be within the same streaming event. The media production element (12) can produce a combined live video stream or a combined media production using selections and combinations of the streamed content provided by the multiple electronic devices. A network assistance device (42) can determine event-coordinated uplink network assistance data with the goal of prioritizing resource allocation to clients/electronic devices that currently are used for the combined media production, and assign less resources to those that are not currently used. Rather than optimizing individual links, the event-coordinated uplink network assistance data is determined by taking the aggregated capacity and the production needs of the media production element (12) into account.

Abstract: A method and system for responding to a message directed to a recipient includes receiving the message including a query from a sender, receiving an indication that the recipient is unavailable to respond to the query, and providing the query to as an input to a machine-learning (ML) model to identify information requested in the query. The method further includes obtaining the information requested as an output from the ML model, determining if access to the information requested is available to the sender, based on a confidentiality group to which the sender belongs with respect to the information requested, upon determining that access to the information requested is available, generating a response to the query that includes the information requested, and providing the response to the sender. The confidentiality group to which the sender belongs may be determined based on a degree of association between the sender and the information requested.

Abstract: In certain embodiments, document-based resolution of user inquiries may be facilitated. A predicted intent of the user is determined based on chat activity information associated with the user. A response to a user inquiry may be provided to the user via a chat interface based on the predicted intent. User response may be obtained for the response, which may indicate a failure in providing a resolution to the user (e.g., regarding a user inquiry). Upon detecting a failure in providing the resolution, a document associated with the user and matching the predicted intent may be obtained and presented to via the chat interface. The document may have content related to the predicted intent. The document may be presented as a response to the user response to seek a confirmation from the user regarding its relevance to the user inquiry.

Abstract: Presenting search suggestions within a messaging application that include attachments without searching messages for the attachments is provided. Messages are received at a computer and managed by a messaging application. A query for suggestions is received via the messaging application. The query is performed by the messaging application without querying the messages that have been received through the messaging application. Suggested search results are provided by the messaging application. The suggestions include attachments that were received via a message through the messaging application. In one or more aspects, the suggested search results also provide other attachments that were received by other than the messaging application.

Abstract: In some aspects, the disclosure is directed to methods and systems for latency-aware social networking. A media stream may be provided to a plurality of client devices, and transmission and processing latencies between each client device and one or more servers may be measured. Client devices may be organized into groups according to latency windows and, in some implementations, numbers of devices. A social networking system may provide real-time chat functionality to grouped client devices. Groups may be dynamically reorganized by latency and number as network and processing latencies change.

Abstract: A method for providing information about an object is proposed. The method contains determining a usage profile of the object based on a measurement performed by at least one sensor of the object and storing the usage profile. The usage profile can be compared with a standard profile of the object. Based on a result of the comparison information about a usage of the object can be provided. A corresponding object providing information is proposed.

Abstract: A first event occurs at a first computer at a first time, as measured by a local clock. A second event is initiated at a second computer by sending a message that includes the first time. The second event occurs at a second time, as measured by a local clock. Because of clock error, the first time is later than the second time. Based on the first time being later than the second time, an alternate second time, that is based on the first time, is used as the time of the second event. When a third system determines the order of the two events, the first time is obtained from the first computer, and the alternate second time is obtained from the second computer, and the order of the events is determined based on a comparison of the two times.

Abstract: Systems and methods for creating and accessing content items are provided. In some examples, a method can include receiving a user selection of an interface element located in a persistent user interface of an operating system desktop of a client device associated with a user account, identifying, based on a query to a meeting service, a meeting associated with the user account, displaying, in response to the user selection of the interface element, a set of user options for the meeting, the set of user options comprising an option to access a content item for the meeting, receiving a user selection of the option to access the content item for the meeting, and accessing, in response to the user selection, the content item.

Abstract: The disclosed intelligent virtual agent provides a single, unified platform for completing a variety of diverse complex business transactions including a series of interactions between multiple people and the performance of multiple tasks occurring at different points in time.

Abstract: A method is performed at an electronic device. The electronic device receives, in a user interface of a social network platform, a to-be-processed interaction message/ The device transmits a message processing request based on the to-be-processed interaction message to a remote server, wherein the remote server identifies one or more target mini application programs based on semantic analysis of the to-be-processed interaction message. The device receives, from the server, a message processing result in accordance with the message processing request. The message processing result includes one or more links to the target mini application programs running on the social network platform. The electronic device displays, in the user interface, a target interaction message for each target mini application program according to the message processing result.

Abstract: Work-load management in a client-server infrastructure includes setting request information in accordance with request semantics corresponding to a type of request from a client. The request semantics include different request-types provided with different priorities during processing. Within a server, requests with high priority are included in a standard request processing queue. Further, requests with low priority are excluded from the standard request processing queue when server workload of the server exceeds a predetermined first threshold value.

Abstract: An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization. Desired outcomes can include, for example: an advocate sending a message to a policymaker or legislative representative advocating in favor or the organization's position on an issue; a policymaker acting or voting in favor of the organization's position on an issue; or an advocate making a financial contribution to the organization. The machine learning models can be configured to select possible message characteristics or features that the system will include or use in creating messages for individual senders and recipients. The machine learning models can be trained based on message characteristics, personal profile characteristics of senders/recipients, and outcomes from previously sent messages. Personal profile characteristics of senders/recipients can indicate correlations between certain message characteristics and certain outcomes.

Abstract: Embodiments are provided that facilitate training and utilization of specially configured multi-armed bandit model(s). Such embodiments configure multi-armed bandit model(s) to provide selected network asset scoring model(s) from a network asset scoring model set and/or a selected data tagged network asset set from a set of data tagged network asset sets. Such selections are performable for a particular user profile, for example to perform accurate and/or efficient process(es) for provision of network asset data object(s) to the user profile(s). Some embodiments access enterprise network interaction data, access a set of data tagged network asset sets, train a multi-armed bandit model to provide a selected network asset scoring model and a selected data tagged network asset set, and provides one or more network asset data objects based on the selected network asset scoring model and the selected data tagged network asset set.

Abstract: According to certain embodiments, a message bus system comprises a first client and a second client. The first client is configured to publish messages associated with a message topic to a message bus, and the second client is configured to receive the messages associated with the message topic from the message bus. The message bus system is configured to unsubscribe the second client from the message topic based at least in part on determining that a demand of the second client for the messages associated with the message topic has fallen below a threshold.

Abstract: A method and device for subscribing social network service. The method includes: receiving a message to be published for a subscription of social network service; retrieving one or more subscribers following the subscription according to prestored subscription relationship information; and feeding the message to the one or more subscribers following the subscription such that one or more actions associated with change information of the subscription is/are applied on the subscribers. Therefore, it will easily support a lot of business use cases utilizing subscription relationship and message feed service. Furthermore, new business cases of provisioning can be produced based on this service.