Abstract: Exemplary methods for generating and providing personalized dynamic live content feeds are described. Recommended live content can be dynamically and intelligently provided to users based upon their prior consumption history so that the recommendations are highly relevant to the user. Live content recommendations can be provided to the user using feeds only when content exists that the user is likely to be interested in. These feeds can be displayed only when a minimum number of a specific live content items of a particular type or category are currently airing, and can be removed from the user interface when the content finishes airing and/or the minimum number of items is no longer met.

Abstract: Exemplary methods for generating and providing personalized dynamic live content feeds are described. Recommended live content can be dynamically and intelligently provided to users based upon their prior consumption history so that the recommendations are highly relevant to the user. Live content recommendations can be provided to the user using feeds only when content exists that the user is likely to be interested in. These feeds can be displayed only when a minimum number of a specific live content items of a particular type or category are currently airing, and can be removed from the user interface when the content finishes airing and/or the minimum number of items is no longer met.

Abstract: A method for multi-person and multi-device content personalization is described. The method includes receiving via a wireless network interface a first user identifier advertised by a portable client device; determining that the signal strength of the portable client device at the wireless network interface is greater than a threshold value; and selecting content items in a sequence based on consumption statistics of content associated with a second user identifier on the media device and consumption statistics of content associated with the first user identifier, wherein consumption statistics include records indicating one or more interactions with the content items of a plurality of content items by one or more users associated with user identifiers.

Abstract: A method for multi-person and multi-device content personalization is described. The method includes receiving via a wireless network interface a first user identifier advertised by a portable client device; determining that the signal strength of the portable client device at the wireless network interface is greater than a threshold value; and selecting content items in a sequence based on consumption statistics of content associated with a second user identifier on the media device and consumption statistics of content associated with the first user identifier, wherein consumption statistics include records indicating one or more interactions with the content items of a plurality of content items by one or more users associated with user identifiers.