Abstract:
Apparatuses and methods are provided to inform a user of a broadcast stream, which has multiple, concurrently received channels of program content, about recommendations of a subset of the content currently playing across the available channels or to be played within a selected future time period. The subset of content is selected based on user preferences and system data (e.g., program topic and channel affinities among the broadcast content and channels) to recommend a more diverse subset of content than would be discovered if only user preferences were employed to make the selection of recommended content.
Abstract:
Apparatuses and methods are provided to inform a user of a broadcast stream, which has multiple, concurrently received channels of program content, about recommendations of a subset of the content currently playing across the available channels or to be played within a selected future time period. The subset of content is selected based on user preferences and system data (e.g., program topic and channel affinities among the broadcast content and channels) to recommend a more diverse subset of content than would be discovered if only user preferences were employed to make the selection of recommended content.
Abstract:
Apparatuses and methods are provided to inform a user of a broadcast stream, which has multiple, concurrently received channels of program content, about recommendations of a subset of the content currently playing across the available channels or to be played within a selected future time period. The subset of content is selected based on user preferences and system data (e.g., program topic and channel affinities among the broadcast content and channels) to recommend a more diverse subset of content than would be discovered if only user preferences were employed to make the selection of recommended content.
Abstract:
Apparatuses and methods are provided to inform a user of a broadcast stream, which has multiple, concurrently received channels of program content, about recommendations of a subset of the content currently playing across the available channels or to be played within a selected future time period. The subset of content is selected based on user preferences and system data (e.g., program topic and channel affinities among the broadcast content and channels) to recommend a more diverse subset of content than would be discovered if only user preferences were employed to make the selection of recommended content.
Abstract:
Apparatuses and methods are provided to inform a user of a broadcast stream, which has multiple, concurrently received channels of program content, about recommendations of a subset of the content currently playing across the available channels or to be played within a selected future time period. The subset of content is selected based on user preferences and system data (e.g., program topic and channel affinities among the broadcast content and channels) to recommend a more diverse subset of content than would be discovered if only user preferences were employed to make the selection of recommended content.
Abstract:
Apparatuses and methods are provided to inform a user of a broadcast stream, which has multiple, concurrently received channels of program content, about recommendations of a subset of the content currently playing across the available channels or to be played within a selected future time period. The subset of content is selected based on user preferences and system data (e.g., program topic and channel affinities among the broadcast content and channels) to recommend a more diverse subset of content than would be discovered if only user preferences were employed to make the selection of recommended content.
Abstract:
Apparatuses and methods are provided to inform a user of a broadcast stream, which has multiple, concurrently received channels of program content, about recommendations of a subset of the content currently playing across the available channels or to be played within a selected future time period. The subset of content is selected based on user preferences and system data (e.g., program topic and channel affinities among the broadcast content and channels) to recommend a more diverse subset of content than would be discovered if only user preferences were employed to make the selection of recommended content.