Abstract: This disclosure describes a video co-watching system that can efficiently, flexibly, and securely provide access to, and synchronize, co-watching digital video content across multiple participant devices while providing live digital video chat streams between the participant devices. For example, the video co-watching system can enable the participant devices to simultaneously present co-watching digital video content together with a presentation of a video chat. In addition, the video co-watching system can synchronize the co-watching digital video content at each participant device while also facilitating video chatting between the participant devices by transmitting a playback modifier signal to cause one participant device to perform a modification to the playback made at another participant device.

Abstract: Apparatuses, methods, and systems for coordinated beamforming in a wireless mesh network, are disclosed. One system includes a network that includes a plurality of nodes connected through wireless links, and a controller. The wireless links including aggressor links and victim links wherein the aggressor links interfere with the victim links. The controller is operative to identify aggressor links and victim links of a group of nodes of the plurality of nodes, coordinate beam scans of the one or more victim receive nodes associated with the victim links of the group, coordinate transmission of one or more aggressor transmit nodes associated with the aggressor links of the group, characterize or receive characterizations of measured interference at the one or more victim receive nodes during the coordinated beam scans, and select beamforming coefficients for the victim receive nodes based at least on the characterizations of the measured interference.

Abstract: In one embodiment, a method includes receiving a user request from a client system associated with a user, generating a response to the user request which references one or more entities, generating a personalized recommendation based on the user request and the response, wherein the personalized recommendation references one or more of the entities of the response, and sending instructions for presenting the response and the personalized recommendation to the client system.

Abstract: An electronic device includes one or more microphones that generate audio signals and a wind noise detection subsystem. The electronic device may also include a wind noise reduction subsystem. The wind noise detection subsystem applies multiple wind noise detection techniques to the set of audio signals to generate corresponding indications of whether wind noise is present. The wind noise detection subsystem determines whether wind noise is present based on the indications generated by each detection technique and generates an overall indication of whether wind noise is present. The wind noise reduction subsystem applies one or more wind noise reduction techniques to the audio signal if wind noise is detected. The wind noise detection and reduction techniques may work in multiple domains (e.g., the time, spatial, and frequency domains).

Abstract: Systems, methods, and non-transitory computer-readable media can determine a first dataset provided by a first party, wherein the first dataset includes a set of vectors that are each associated with a user identifier. A second dataset provided by a second party can be determined, wherein the second dataset includes a set of vectors that are each associated with a user identifier. One or more vectors in the first dataset can be matched to vectors in the second dataset based on a secure multi-party computation without revealing respective graph information of the first party or the second party. Respective mappings between vectors in the first dataset to a set of shared universal identifiers can be provided to the first party. Respective mappings between vectors in the second dataset to the set of shared universal identifiers can be provided to the second party.

Abstract: Techniques are described that enable a user to edit and customize captions generated by a social networking system, such as transcriptions of an audio clip. In some cases, a social networking system receives, from a first user account, a video and an audio clip associated with the video, and determines that the audio clip contains speech. The social networking system may leverage a speech-to-text component to generate a first text caption based at least in part on the speech in the audio clip. The social networking system provides the first text caption to the first user account, and receives a user input to modify a word included in the first text caption. The social networking system generates a second text caption based at least in part on the user input, and provides the video, including the second text caption, to a second user account.

Abstract: User action data characterizing action by a player in a game environment executing at a user client is received at a server. The game environment is created by the user client separate from the server. Data characterizing a selected viewing position is received. The selected viewing position is different than a player viewing position. The selected viewing position characterizes a viewing location within the game environment. A recreated game environment is generated from the user action data at the server. A video stream of the recreated game environment is generated. The video stream includes video from a perspective of the selected viewing position. The video stream is transmitted to a viewing client. Related apparatus, systems, articles, and techniques are also described.

Abstract: An online system receives a content item including an image from a content-providing user and/or receives an interaction with the content item from a viewing user. The online system accesses a machine-learning model that is trained based on a set of images of items associated with an entity and attributes of each image. The online system applies the model to predict a probability that the content item includes an image of an item associated with the entity based on attributes of the image included in the content item. Based on the predicted probability, the online system updates a profile of the user (i.e., the content-providing user and/or the viewing user) to include an affinity for the item. Upon determining an opportunity to present content to the user, the online system selects content for presentation to the user based on the profile and sends the content for presentation to the user.

Abstract: The disclosed computer-implemented method may include (1) provisioning a cloud gaming environment with a plurality of containers that share a single operating system instance, (2) allocating each container within the plurality of containers to a corresponding user, (3) executing, concurrently, within each container within the plurality of containers a corresponding video game instance and (4) streaming, concurrently, from the cloud gaming environment, a video game instance from each container within the plurality of containers to a corresponding client system. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: An online system generates predicted outcomes for a content distribution program that distributes content to users of the online system, the predicted outcome indicating a likelihood for the occurrence of an outcome of a content presentation. The online system transmits the one or more predicted outcomes to the third-party system, and receives prediction improvement data from the third-party system, the prediction improvement data indicating an adjustment to errors in the predicted outcomes based on a prediction by the third-party system. The online system updates the properties of a content distribution program based on the prediction improvement data, the updated content distribution program causing the online system to generate new predicted outcomes based on the prediction improvement data in content presentation opportunities. The online system also transmits content to users of the online system based on the updated content distribution program.

Abstract: In one embodiment, a method includes receiving a user input comprising a natural-language utterance by an assistant xbot from a client system associated with a user, determining a semantic representation of the user input based on a structural ontology defining a labeling syntax for parsing the natural-language utterance to semantic units comprising actions, objects, and attributes, wherein the semantic representation embeds at least one object within at least one action and declares at least one attribute of the embedded object to be acted upon, sending a request based on the semantic representation to an agent for executing a task corresponding to the user input, receiving results of the executed task mapped to a structure determined by the structural ontology from the agent, and sending from the assistant xbot to the client system instructions for presenting a response based on the results of the executed task.

Abstract: Particular embodiments may receive a request to perform a task to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may identify service instances for deployment based on the task. Each of the service instances may belong to one of the multiple decomposed service types. The service instances may be deployed to one or more server machines to accomplish the task by the core network based on resource requirements of the service instances and current resource availability of the one or more server machines.

Abstract: An online system receives a content item including an image from an online system user. The online system accesses and applies a trained item detection model to predict a probability that a region of interest within the image corresponds to an item associated with an entity based on a set of pixel values associated with the region of interest. If the probability is at least a threshold probability, the online system accesses and applies a trained quality prediction model to predict a measure of quality of the image based on a set of attributes of the image. If the measure of quality is at least a threshold measure of quality, the online system includes the content item in a page associated with the entity maintained in the online system and/or adds a set of data associated with the item and/or the entity to the content item.

Abstract: An online system uses a task async engine to coordinate task execution, such as for phased content creation, where the system enables content providers to efficiently create and publish sponsored content in multiple phases. Each phase of the content creation is represented by a draft of the content. Multiple drafts of the content are stored in a repository of the online system for optimizing content delivery and publication, such as quick identification of conflicts in a draft based on analysis of draft fragments of the draft. Objects associated with the sponsored content are stored in an object model. The connections amongst the various draft segments of a draft are stored in a hierarchy structure. Each user associated with a draft has a role, where all of the roles can contribute to the draft. The online system efficiently publishes the drafts and presents the sponsored content to its target users.

Abstract: An online system presents content in videos to users. Content providers may value having their content injected into videos from certain sources more than others. This preferences is quantified as a brand value score. The brand value score is determined as a function of user engagement with a source of the video and, to account for brand value, the system performs a two-stage auction. First, the system determines whether to inject any content into a video by determining a distribution of brand value of videos per demand for videos in a previous period and filling a projected demand for the content in a current period to determine a brand value threshold. Then, any videos having a brand value above the threshold are eligible for the second stage of the selection process where the system performs an auction where projected benefit of presenting the content is compared to projected loss.

Abstract: A video to be encoded to a plurality of different target encodings for bandwidth adaptive serving is received. The video is encoded into a plurality of different candidate encodings using different candidate encoding parameters. A quality metric is determined for each of the plurality of different candidate encodings. One or more different target quality metrics are selected for a first portion of the different target encodings based at least in part on one or more specified constraints for one or more target devices. One or more different target quality metrics are selected for a second portion of the different target encodings based at least in part on the determined quality metrics of the different candidate encodings. Based at least in part on the selected different target quality metrics for the first portion and the second portion, the plurality of different target encodings of the video is generated.

Abstract: A mode decision component is configured to determine the costs of different modes for a selected partition of a frame of a video using an estimated compression coding data, which is calculated prior to a corresponding actual compression coding data being calculated based on another partition immediately prior to the selected partition in a partition processing order. The estimated compression coding data is determined based on a previously calculated compression coding data calculated based on a completed partition prior to the selected partition in the partition processing order. The mode decision component is configured to use the determined costs to select one of the modes. An encoder component is configured to use the selected mode to encode the selected partition by using the corresponding actual compression coding data calculated based on the another partition immediately prior to the selected partition in the partition processing order.

Abstract: A system including a baseboard management controller (BMC) and a socket is described. The BMC is configured to provide a management interface to a network device. The socket is configured to accept an edge connector of a removable storage card. The BMC is configured to access via the socket at least a portion of the firmware of the BMC stored on the removable storage card.

Abstract: An online system receives a content item including a link to a landing page and determines a likelihood the landing page violates an online system policy based on a structural similarity between the landing page and a web page violating the policy. To determine the likelihood, the online system determines a hierarchical structure associated with the web page violating the policy and an additional hierarchical structure associated with the landing page. The hierarchical structure represents a structure of at least a portion of the web page and the additional hierarchical structure represents a structure of a corresponding portion of the landing page. The online system compares the hierarchical structure and additional hierarchical structure. Based on the comparison, the online system computes a measure of dissimilarity between the hierarchical structure and additional hierarchical structure and determines a likelihood the landing page violates the policy based on the measure of dissimilarity.

Abstract: One or more embodiments of the disclosure provide systems and methods for providing media presentations to users of a media presentation system. A media presentation generally includes a plurality of media segments provided by multiple users of the media presentation system. In one or more embodiments, a user of the media presentation system may share a media presentation with a co-user. The media presentation system can provide a number of features to assist a user in sharing, filtering, and accessing media presentations.