Google Inc.

Twitter, Inc.

Samsung Electronics Co., Ltd.

Meta Platforms, Inc.

Wook Jin Chung

Kiryl Lashuk

Kelly Huffman

Nareshkumar Rajkumar

Vinod Kumar Ramachandran

Ziheng Wang

Pirooz Chubak

Mansoor Malik

Yunchan Paik

Mohsin Amjed

Jennifer Nakamura

Nicholas Urbano Rattazzi

Allen Yang Liu

Joyce Marie Hodel

Systems, methods, and non-transitory computer-readable media can collect a set of training videos as training data, wherein the set of training videos are labeled with one or more labels based on one or more video quality metrics associated with an evaluation objective. A machine learning model is trained based on the training data. A video to be evaluated is received. The video is assigned to a first video quality category of a plurality of video quality categories based on the machine learning model.

Systems and methods for predicting video quality based on objectives of video producer

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting content items. In one aspect, a method includes identifying an opportunity to present a content item at a device and in a manner that precludes a user from accessing content of one or more applications executing on the device. Data relating to a status of each of the one or more applications are identified. A level of urgency for a user to access content of the one or more applications is determined based on the data. A response to the opportunity to present a content item is selected based on the level of urgency for the user to access content of the one or more applications. The response is selected from a first response that causes presentation of the content item and a second response that precludes presentation of the content item.

Displaying content items based on device status

According to an implementation, a method for digital information retrieval in a social media platform includes transmitting, over a network, information to render a timeline of social content for a user of a client application. The timeline of social content includes messages posted on the messaging platform by user accounts that are connected to a user account of the user in a connection graph. The method includes computing, using a machine-learning algorithm inputted with relevance signals, a relevance level between the user account of the user and a user account not linked to the user account of the user in the connection graph, and transmitting information about a profile of the user to a computing device associated with the user account not linked to the user account of the user in response to the relevance level being greater than a threshold level.

Increasing social media presence using machine-learning relevance techniques

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for posting messages on a social messaging platform. One of the methods includes providing a message composition interface; receiving a user request to include a promotion with a composed message; in response to the request, processing the content of the composed message and the user's profile on the social messaging platform to determine one or more social signals; computing an engagement score for each user in a pool of users, wherein the engagement score for each user indicates the likelihood that the user will engage with the message; selecting candidate users from the pool of users; selecting a plurality of target users from the candidate users based on a promotion value and the respective engagement scores; and posting the message on the platform including adding the message to a message stream associated with the selected target users.

Social media message composition

An electronic system includes: a control unit configured to: generate a media content for presenting on a device including a subcontent based on a content template, which includes a configurable element, determine a user information for identifying the device within a context, and update the subcontent with the configurable element, which is adjusted based on the media content and the context, and a communication interface, coupled to the control unit, configured to communicate the subcontent for presenting on the device.

Electronic system with custom notification mechanism and method of operation thereof

According to an implementation, a system includes a social media messaging platform configured to exchange messages, over a network, among a plurality of computing devices. The exchange of messages is based on a connection graph stored on the messaging platform. The social media messaging platform includes a registration manager configured to register an account for an entity to boost a social media presence of the entity on the social media messaging platform, and a social media presence booster having a machine-learning relevance engine configured to programmatically match the entity's content with relevant entities. The social media presence booster is configured to automatically and programmatically boost the entity's content to the relevant entities, and increase, over time, a number of connections in the connection graph between the account and other accounts on the social media messaging platform in response to the boosted content.

Users consume media in a variety of ways. Media may be consumed primarily for the audio, primarily for the video, or for a combination of the audio and the video. The selection and serving of a content item may be performed such that a content item profile of the served content item that matches how the media is being consumed may be preferred during selection by a content selection service. The selection of a content item by the content selection service may be based on an aggregate view profile for the media and a content item profile for a candidate content item. In some instances, a current view profile may also be used. The selected content item may be served to effect presentation of the selected content item with the media.

Selecting a content item based on a view profile

A method for managing assets for a content item to be displayed on at least one client computing device having a display is provided. Additionally, a server computing device for managing assets for a content item to be displayed on at least one client computing device having a display is provided. Additionally, a computer-readable storage device having processor-executable instructions embodied thereon is provided. The processor-executable instructions are for managing assets for a content item to be displayed on at least one client computing device having a display.

Smart asset management for a content item

A method, executed on a processor, for serving a video content segment at an online resource includes receiving a request for a video content segment having one or more playback features; identifying, by the processor, one or more candidate video content segments responsive to the request; accessing, by the processor, for each of the candidate video content segments, a score based on (i) one or more metrics related to a measure of the probability of the video content segment being played and (ii) a bid; identifying, by the processor, one or more candidate sets of candidate video segments, where, for each set, the candidate video content segments in the set collectively satisfy the one or more playback features; and selecting, by the processor, in response to the request, one of the candidate sets whose cumulative scores are higher than at least one other candidate set.

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Sunnyvale, CA, United States of America

Wook Jin Chung