A system may selectively deliver interactive portions of a piece of content, based for example on a recipient user's historical tendency to use interactive portions of prior content. Multiple levels of interactivity may be defined for a given piece of content, such as an advertisement, and different users may receive different levels of interactivity based on how much they use interactive features. Some users may receive no interactive features at all, while others may receive the interactive features, and despite the fact that all of the users' devices may be perfectly capable of processing the interactive features for the user. The omission from transmission may conserve bandwidth and transmission resources.

Methods and systems for calculating, storing, and allowing electronic searches for metadata associated with media titles. The metadata includes scores specific to each actor and each genre of a media title, where the scores indicate the degree to which an actor’s performance in that title corresponds to a particular genre. Electronic searches for particular actors’ performance in a specific genre thus return more accurate results that more correctly reflect how well the actors’ performances reflect that genre.

Systems and methods are provided for managing subscriptions. A media guidance application obtaining viewing patterns of a subscriber and determining a first and second media package of interest to the subscriber. A first and second release schedule are obtained related to media content in the first and second media packages. The media guidance application predicts a first viewing impact of the first subscription and a second viewing impact of the second subscription, for the upcoming time period, wherein the viewing impact indicates a total predicted amount of time spent viewing the media packages in the upcoming time period. An available amount of time for viewing media in the upcoming time period is also determined. The media guidance application generates a subscription recommendation for the upcoming time period based on the first viewing impact, second viewing impact, and available amount of time for viewing media in the upcoming time period.

A method for providing a personalized media stream includes receiving a signal from a user to launch a personalized media stream, determining a current time, identifying a first time slot of a schedule into which the current time falls, identifying a first channel that is associated with the first time slot, wherein viewing history for the user indicates that the user has viewed the first channel during the first time slot in the past, automatically tuning the display device to the first channel in response to the signal, receiving, subsequent to the automatically tuning, a command from the user to pause a program playing on the first channel, identifying a second channel associated with a second time slot, wherein the second time slot occurs later in time that the first time slot, and buffering a portion of a program being shown on the second channel during the second time slot.

Systems and methods for virtual interactions are described. One or more users can view or listen to media, react to the media and share such media experience virtually with others. The media experience can take place synchronously, asynchronously or both.

Methods and apparatus to calibrate media ratings based on return path data are disclosed. An apparatus includes a processor and memory including instructions that, when executed, cause the processor to: determine an initial rating for the media provided in a first geographic area based on return path data (RPD) tuning information obtained from RPD devices in subscriber households in the first geographic area; determine a first panelist rating for the media provided in a second geographic area based on first panel tuning information obtained from first metering devices in a first subset of panelist households in the second geographic area; determine a nonsubscriber calibration factor based on the first panelist rating; and determine a final rating for the media in the first geographic area by modifying the initial rating based on the nonsubscriber calibration factor.

A system for performing user-initiated content modification includes a computing platform having processing hardware and a system memory storing a software code. The processing hardware is configured to execute the software code to receive a request to perform a modification to content, determine, in response to the request, whether the modification is permissible or impermissible, and when the modification is determined to be impermissible, deny the request. When the modification is determined to be permissible, the processing hardware is configured to further execute the software code to obtain the content, obtain or produce alternate content for use in modifying the content per the request, and perform the modification to the content, using the alternate content, to provide modified content.

A method implemented by one or more computing systems includes accessing content viewing data associated with a first user account, wherein the first user account is associated with one or more client devices. The content viewing data includes temporal-based content viewing data. The method further includes determining, using one or more sequence models, a set of content viewing features based on the temporal-based content viewing data, and concatenating the content viewing features into a single computational array. The method further includes providing, through one or more dense layers of a deep-learning model, the single computational array to an output layer of the deep-learning model, and calculating, based on the output layer, one or more probabilities for one or more labels for the first user account. Each label includes a predicted attribute for the first user account.

Disclosed is a system for generating personalized recommendations based on dynamic and customized content selections and modeling of the content selections. The system may receive a request with an identifier and a query, and may obtain a particular recommendation configuration based the identifier and the query. The system may retrieve a set of content that satisfies the query and that is identified with at least one content prioritization parameter specified in the particular recommendation configuration, may generate a set of models of one or more model types that model relevance between the set of content and a different event specified in the particular recommendation configuration, and may compute a score for each content in each model based on the modeled relevance. The system may present recommended content in a different order than the set of content based on aggregate scores compiled for each content from the set of models.

Illustrative embodiments include a method, an electronic device, and a computer program product for video processing. In the method, a first group of image frames in a first video having a first resolution is converted into a second group of image frames having a second resolution, the first resolution being higher than the second resolution; a second video having the second resolution is generated based on the second group of image frames; conversion parameters for the second video are determined based on the first group of image frames and the second group of image frames, the conversion parameters being used to convert an image frame in the second group of image frames into an image frame having a third resolution, and the third resolution being higher than the second resolution; and the conversion parameters and the second video are sent to a requester of the first video.