A facility for selectively suppressing notifications on a portable device is described. The facility accesses data characterizing the condition of the portable device. The facility infers from the accessed data that that the portable device is being carried by a person who is viewing content being played by a media player device. In response to this inference, the facility determines whether notifications should be suppressed on the portable device. If the facility determines that notifications should be suppressed on the portable device, it causes a wireless communication to be transmitted to the portable device instructing the portable device to suppress notifications.

Aspects of the subject disclosure may include, for example, identifying content consumption data associated with media content consumption at a customer device, and generating a content selection recommendation for the customer device. Some embodiments can include determining a habit-based content selection vector for the customer device. Various embodiments can include determining the habit-based content selection vector based on a habit profile for the customer device. Some embodiments can include adjusting a content selection vector for the customer device based on the habit-based content selection vector for the customer device. Various embodiments can include generating the content selection recommendation for the customer device based on the adjusted content selection vector. Other embodiments are disclosed.

A display apparatus including a display, and a processor configured to identify a user from an image of an external environment of the display apparatus captured by a camera, identify, from the image, a separation distance of the user and a radian of a face of the user, wherein the separation distance of the user is a distance between a position of the user and a preset point, and display content corresponding to the user on the display based on the separation distance and the radian.

Systems and methods are operable to present a sporting event on a display based on a determined level of viewer engagement and a determined team preference of the viewer. An exemplary embodiment presents a neutral viewpoint video content segment on the display during the first period of game play when the viewer has a neutral team preference, alternatively presents a first team alternative video content segment on the display during the first period of game play when the viewer has a preference for the first team, or alternatively presents a second team alternative video content segment on the display during the first period of game play when the viewer has a preference for the second team.

Systems and methods are provided herein for determining whether to adjust volumes of individual audio components in a media asset based on a type of segment of the media asset that is playing back. A media guidance application may determine that a user is playing back a segment of a media asset. The media guidance application may determine a type corresponding to the segment. The media guidance application may parse a plurality of audio components of the media asset that are playing back during the segment. The media guidance application may determine, for each audio component, whether to adjust the volume playing back during the segment based on the type. For each audio component of the plurality of audio components, in response to determining to adjust the volume, the media guidance application may adjust the volume of the audio component playing back during the segment.

Methods, apparatus, systems and articles of manufacture to impute media consumption behavior are disclosed. An example system includes one or more media meters to obtain tuning data, one or more people meters to obtain viewing data, and one or more servers to, in response to a determination that a difference satisfies a first threshold, determine that a first subset of the tuning data associated with first panelist households having tuned to first media in a first area exhibits local bias, determine that a second subset of the viewing data associated with second panelist households having viewed the first media in the second area represents heavy viewing, and impute the second subset of the viewing data for the first subset of the tuning data in response to the second subset of the viewing data representing heavy viewing.

Techniques are disclosed for detecting a type of prurient activity shown by a portion of video content. In an example, a machine learning model of a computer system may receive a second portion of video content, the machine learning model including a neural network that is trained to analyze a temporal dimension of the second portion. The machine learning model determines a score indicating a likelihood that the video content shows the type of prurient activity based in part on applying a three-dimensional filter to the second portion of the video content. The computer system then generates a video clip that includes at least the portion of the video content showing the type of prurient activity based on the score, and provides the video clip for display.

System, methods, and machine-readable media to facilitate adaptive content composite interaction with respect to digitally distributed content are disclosed. Discovery may be performed, and events specified for digital distribution may be detected. A particular endpoint identifier mapped to media devices may be detected. Events may be determined as a function of access specifications. Content objects corresponding to the events may be received from a remote system via a network. Content composites corresponding to mapping specifications may be created for each content object with selecting and configuring an adaptable content object with the content object to form a content composite to facilitate presentation of the content composite. The content composites may be used to facilitate an augmentation interface with a graphical layout of the content composites, each causing display of an interface element allowing selective communications to a process-performing system to configure an executable function in accordance with parameters.

An example method can comprise receiving content for presentation at a user device. The content can comprise a plurality of sections, and each section can comprise a video portion and an audio portion. The user device can also receive content metadata regarding one or more features of the content, where the features of the content comprise one or more candidate sections of the content for modification. The user device can apply one or more rules to the received content based on the content metadata to modify one or more of the audio portion and the video portion of at least one section of the content, creating modified content, and can cause presentation of the modified content on a display device.

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.