Abstract: A system and message for message selection and presentation, including: receiving a request for content, wherein the request is associated with a context account of a messaging platform; identifying a set of unviewed messages associated with the context account; identifying grouping criteria for grouping content based on messages; applying, by a computer processor, the grouping criteria to the unviewed messages to generate a content group, wherein the content group is associated with a subset of the unviewed messages; and providing at least a portion of the content group in response to the request.

Abstract: Time-based media is distributed and promoted in a social networking environment. Accounts of a social networking system author social media content items (SMCIs) from which a social networking system infers relevance of content to users of those accounts. Content distributors submit time-based media content to the social networking system, which creates distributor SMCIs containing the time-based media content. Accounts are identified to receive distributor SMCIs based on SMCIs previously authored by those accounts as well as identifying information and the subject of the SMCI. Content promoters may add promotional material to distributor SMCIs, which the social networking service sends to additional accounts.

Abstract: In some implementations, a system may include an interactive video broadcasting service, implemented on a server, configured to enable a plurality of source devices to broadcast live feed video streams, over a network, to a plurality of viewing devices. The interactive video broadcasting service includes a multi-perspective video sharing engine configured to determine that at least two of the live feed video streams relate to a same event. The multi-perspective video sharing engine provides a multi-perspective display, over the network, to at least one of the plurality of viewing devices in which the multi-perspective display concurrently streams the live feed video streams determined as related to the same event.

Abstract: A messaging platform forms an interactive message with one or more components and broadcasts the interactive message to client devices associated with accounts. The interactive message has a plurality of states that update based on event data received from a content source. While the event is in progress, the messaging platform receives event data relating to the event and transitions to an updated state based on the received event data. When the interactive message transitions to the updated state, the messaging platform updates the interactive message broadcast to the client devices. The interactive message may include interactive components that accounts may use to perform various interactions with the event, the content source, or each other.

Abstract: A method includes selecting a plurality of low-resolution frames associated with a video, performing a first motion estimation between a first frame and a second frame, performing a second motion estimation between a third frame and the second frame, generating a high-resolution frame representing the second frame based on the first motion estimation, the second motion estimation and the second frame using a sub-pixel convolutional neural network.

Abstract: A method for generating recommendations involves selecting a first platform message, making a first determination that the first platform message is potentially associated with a plurality of topics including a first topic and a second topic, obtaining additional information associated with the first platform message including at least one of information about an account that authored the first platform message and information about third party accounts engaging with the first platform message, making a second determining that the first platform message is associated with the first topic using the plurality of topics and at least a portion of the additional information, wherein the first topic is an initial classification of the first platform message, generating a recommendation for at least one account based on the second determination, and providing the recommendation to at least one account.

Abstract: An unmanned aerial vehicle (UAV) carries a camera, sends data from the camera, and receives commands. The UAV is connected to a messaging platform. Pictures or video clips received from the UAV are selected and placed in messages broadcast by an account associated with the UAV. Video footage from the camera is live-streamed in a card-type message. Account holders of the messaging platform may control the UAV with commands embedded in messages and directed towards an account associated with the UAV. Controllable elements of the UAV include UAV location, camera orientation, camera subject, UAV-mounted lighting, a UAV-mounted display, a UAV-mounted projector, UAV-mounted speakers, and a detachable payload. UAV control may be determined through democratic means. Some UAV functionality may be triggered through aggregated engagements on the messaging platform. The UAV may include a display screen and/or a microphone to provide for telepresence or interview functionality.

Abstract: A distributed message queue is disclosed which facilitates queue consumer discovery across multiple areas while providing for area preference.

Abstract: A real-time messaging platform allows advertiser accounts to pay to insert candidate messages into the message streams requested by account holders. To accommodate multiple advertisers, the messaging platform controls an auction process that determines which candidate messages are selected for inclusion in a requested account holder's message stream. Selection is based on a bid for the candidate message, the message stream that is requested, and a variety of other factors that vary depending upon the implementation. The process for selection of candidate messages generally includes the following steps, though any given step may be omitted or combined into another step in a different implementation: targeting, filtering, prediction, ranking, and selection.

Abstract: A system, method, and computer-readable medium for identifying music-related data based on message data from a messaging platform. The method includes: obtaining a request from a client; identifying context data associated with the request; identifying message data from the messaging platform based on the context data; selecting, based on the context data and the message data from the messaging platform, music-related data for inclusion in a result set; and providing the result set to the client in response to the request.

Abstract: An example system for device-independent point to multipoint communication is configured to receive a message addressed to one or more destination users, the message type being, for example, Short Message Service (SMS), Instant Messaging (IM), E-mail, web form input, or Application Program Interface (API) function call. The system also is configured to determine information about the destination users, the information comprising preferred devices and interfaces for receiving messages, the information further including message receiving preferences. The system applies rules to the message based on destination user information to determine the message endpoints, the message endpoints being, for example, Short Message Service (SMS), Instant Messaging (IM), E-mail, web page output, or Application Program Interface (API) function call. The system translates the message based on the destination user information and message endpoints and transmits the message to each endpoint of the message.

Abstract: A system and method for trend detection in a messaging platform. A trend detection model is selected and a time series having a plurality of instances of social data is received, wherein the instances of social data share a countable parameter. A count is made of occurrences of countable parameters in each instance of social data assigned to that bin and a trend detected based at least in part on the trend detection model and on the count for each bin.

Abstract: The present invention provides techniques for use in association with online advertising, relating to use of serving thresholds, associated with predicted click through rates, and delivery policies, associated with advertising inventory serving and distribution. An offline-trained machine learning-based model may be utilized in advertising serving decision-making in connection with serving opportunities. However, serving thresholds and delivery policies, for use in association with the model in serving decision-making, may be adjusted online, such as in real-time or near real-time, based on information obtained online affecting factors such as predicted click through rates and advertising inventory distribution.

Abstract: In general, embodiments of the invention relate to servicing fill request using ad networks and demand-side partners.

Abstract: In some examples, a computing device includes at least one processor and at least one module, operable by the at least one processor to receive, from a client device of a user, a request for one or more advertisements to display at the client device with a set of messages. The set of messages is associated with the user in a social network messaging service. The at least one module may be further operable to determine a probability that the user will select a candidate advertisement using a machine learning model based on point-wise learning and pair-wise learning. The at least one module may be further operable to determine, based on the probability that the user will select the candidate advertisement, a candidate score for the candidate advertisement, determine that the candidate score satisfies a threshold, and send, for display at the client device, the candidate advertisement.