A moderator client device may add program information for multi-media content using interactive elements. The moderator client device may associate an interactive component with the multi-media content using the interactive elements on a moderator interface. An interactive program may be generated from the multi-media content, tags and time-codes, and the interactive component. A response to the interactive program may be received from a viewer client device based on an interaction of the user of the viewer client device with the interactive component. The response received from the viewer client device may be displayed simultaneously with the updated interactive program on the display of each of a plurality of viewer client devices.

A moderator client device may add program information for multi-media content using interactive elements. The moderator client device may associate an interactive component with the multi-media content using the interactive elements on a moderator interface. An interactive program may be generated from the multi-media content, tags and time-codes, and the interactive component. A response to the interactive program may be received from a viewer client device based on an interaction of the user of the viewer client device with the interactive component. The response received from the viewer client device may be displayed simultaneously with the updated interactive program on the display of each of a plurality of viewer client devices.

A consumption probability metric may be generated for a media asset. An aggregated forecast predicting user consumption of a media asset is received. A plurality of probabilities, each corresponding to a user of a plurality of users, is received, each indicating how likely a respective user is to consume the media asset. A weight for the plurality of users is calculated representing a ratio of the total number of users to a number of users in the plurality of users. A disaggregated forecast predicting user consumption of a media asset is determined based on the weight for the plurality of users and the plurality of probabilities. A modification factor is computed based on the aggregated forecast and the disaggregated forecast. A metric is generated that includes a plurality of user identifiers associated with the plurality of users and a plurality of modified probabilities each modified by the modification factor.

A consumption probability metric may be generated for a media asset. An aggregated forecast predicting user consumption of a media asset is received. A plurality of probabilities, each corresponding to a user of a plurality of users, is received, each indicating how likely a respective user is to consume the media asset. A weight for the plurality of users is calculated representing a ratio of the total number of users to a number of users in the plurality of users. A disaggregated forecast predicting user consumption of a media asset is determined based on the weight for the plurality of users and the plurality of probabilities. A modification factor is computed based on the aggregated forecast and the disaggregated forecast. A metric is generated that includes a plurality of user identifiers associated with the plurality of users and a plurality of modified probabilities each modified by the modification factor.

A system that incorporates teachings of the present disclosure may include, for example, a media server and parsing engine, 3.sup.rd party mobile aggregator, client servers, and a plurality of communication devices that are each associated with a user and a user profile. The media server can provide one or more of the plurality of communication devices with access to media content, with the access being provided at a time selected by the user. At least one of the one or more of the plurality of communication devices can transmit a critique of the media content. The media server can award points to the user based on performing the critique, and can transmit the critique and user information from the user profile to the client server. The media server can provide the at least one of the one or more of the plurality of communication devices with access to at least one of services or goods to be purchased with the points. The media server can redeem the points based on a purchase of the at least one of the services or goods using the points. Other embodiments such as the obtaining of end user preferences of content in a natural environment are disclosed.

Systems and methods for providing media content to supplement an exhibit from an image of an audience for the exhibit include an image capture device proximate the exhibit that captures an image of the audience that includes the faces of audience members. A facial recognition process is used to identify each audience member, and certain audience characteristics are determined from the captured image. Stored information about the identified audience members and/or the audience characteristic information are used to determine the media content to provide to a playback device for playback while the exhibit is viewed by the audience.

Systems and methods for providing media content to supplement an exhibit from an image of an audience for the exhibit include an image capture device proximate the exhibit that captures an image of the audience that includes the faces of audience members. A facial recognition process is used to identify each audience member, and certain audience characteristics are determined from the captured image. Stored information about the identified audience members and/or the audience characteristic information are used to determine the media content to provide to a playback device for playback while the exhibit is viewed by the audience.

The disclosed embodiments are directed toward local emotion detection during live streaming events. A client device receives a video stream from a remote server and captures media content while displaying the video stream. The client device uses a local machine learning/artificial intelligence event detection model to detect events in the media content. The client device then transmits detected events to the remote server involved in the live stream. The client device may additionally stream the locally captured media content to the remote server. In response, the remote server provides an interaction dashboard and, in some embodiments, mixes the local media content with the live stream.

Systems and methods for creating an ad hoc pervasive computing environment comprised of an inference recommendation engine coupled to commodity devices and sensors that passively collect human activity and behavioral data. Methods include machine learning and deep learning applications that analyze data to generate preference based recommendations to assist, inform, and guide subjects interacting with a connected living space and their connected social network.

Systems and methods enabling marketing and distribution of motion pictures and other media content by content creators and other content providers are described herein. A platform is provided by which a plurality of content providers can market and distribute media content to users. Information about activity of the users on the platform is obtained in relation to the item of media content or in relation to media content related to the item of media content. A request is received for an activity report comprising information related to a user demographic or a media content characteristic. Responsive to the activity report request, the activity report is provided to the content provider.