According to various embodiments, a content marking command is received from a mobile device at a particular time. For example, a user selection of the content marking command may be received via a user interface displayed on the mobile device. The content marking command may indicate a user interest in a particular moment of an event viewed by the user. Moreover, the event viewed by the user and video content data corresponding to the event may be identified. Further, content marking data may be generated, whether content marking data indicates a particular portion of the identified video content data corresponding to the particular moment of the event.

An apparatus for generating loudspeaker signals includes an object metadata processor configured to receive metadata, to calculate a second position of the audio object depending on the first position of the audio object and on a size of a screen if the audio object is indicated in the metadata as being screen-related, to feed the first position of the audio object as the position information into the object renderer if the audio object is indicated in the metadata as being not screen-related, and to feed the second position of the audio object as the position information into the object renderer if the audio object is indicated in the metadata as being screen-related. The apparatus further includes an object renderer configured to receive an audio object and to generate the loudspeaker signals depending on the audio object and on position information.

A method, a computer program product, and a computer system for filtering content based on user state is disclosed. Exemplary embodiments include associating a user with one or more cohorts and extracting one or more features from a content retrieved by the user. Moreover, exemplary embodiments may further include determining whether at least one of the one or more features conflict with at least one of the one or more cohorts.

Systems and methods for providing a universal remote control are disclosed. Control schemes for a plurality of remotely-controlled devices may be stored in memory of the universal remote control, where each of the control schemes includes a set of commands for a corresponding one of the remotely-controlled devices. Instructions for each command corresponding to one or more signals for the corresponding remotely-controlled device may be encoded. Based on a current orientation of a mobile device relative to a location of the remotely-controlled devices in a real-world environment, one of the remotely-controlled devices may be identified as being selected. Based on the stored control scheme for the selected remotely-controlled device a display for the mobile device may be generated, wherein the generated display includes the set of commands corresponding to the selected remotely-controlled device. A selection from the generated display of commands may be received. The selection corresponding to one or more signals based on the control scheme for the selected remotely-controlled device may be identified. The identified signals may be transmitted to the selected remotely-controlled device, wherein the transmitted signals include instructions executable by the selected remotely-controlled device to perform the selected command.

In some embodiments, an electronic device presents recommended content for a set of users in accordance with some embodiments of the disclosure. The electronic device is associated with a plurality of user accounts, including a first user account, displaying, via a display generation component, a media browsing user interface associated with the first user account. In accordance a determination that the first user account satisfies one or more criteria and in accordance with a determination that a first subset of user accounts of the plurality of user accounts associated with the electronic device has been selected for inclusion in content recommendations, the electronic device is configured to display, in the media browsing user interface, one or more representations of media content recommendations based on one or more characteristics of the first user account and the first subset of user accounts.

A technique allows curating content such as videos to be specific to some event/theme. The technique allows creating an event in a calendar, and a backend system internally has an algorithm to pick the movies/TV shows based on viewing history.

The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately and efficiently predicting conversion probability scores and key personas for target entities utilizing an artificial intelligence approach. For example, the disclosed systems utilize a conversion activity score neural network to predict conversion activity probability scores for target entities and utilize a persona prediction machine learning model to predict key personas associated with target entities. In particular, the disclosed systems utilize the conversion activity score neural network to generate a predicted conversion activity probability score for a target entity from input data including client device interactions of digital profiles belonging to the target entity as well as an entity feature vector representing characteristics of the target entity. The disclosed systems also (or alternatively) utilize a persona prediction machine learning model to determine a set of key personas for the target entity from the entity feature vector.

A device implementing the subject system may include at least one processor configured to obtain a first preference profile corresponding to a first user, a second preference profile corresponding to a second user, and a group preference profile corresponding to a user group that includes the first and second users. The at least one processor may be further configured to generate an aggregate preference profile based at least in part on the first preference profile, the second preference profile, and the group preference profile and to identify content items based at least in part on the aggregate preference profile. The at least one processor may be further configured to rank the content items and provide, for display on a content output device, at least one indication of at least one of the ranked content items as a recommendation for the user group.

Contextual information for an ecosystem that includes a consumer electronic device is used by a virtual agent to speed up the process by which the virtual agent provides technical support related to the consumer electronic device. The contextual information is used to reduce the amount of information the virtual agent requires from the consumer. Whilst collecting information from the consumer, the virtual agent also functions to determines if a hand-off of the consumer to a further agent is needed.

Methods and systems are described for a media guidance application that enhances the viewing experiences of users consuming a sequence of media. In particular, the media guidance application may enhance the viewing experiences of users consuming a sequence of media by removing portions of redundant media that were previously consumed by the user.