Abstract: Described herein are systems and methods for optimizing buffering of streamed content based on upcoming coverage. For example, during a trip, the bit rate for transmission and receipt of streamed content can be dynamically adjusted based on the upcoming coverage such that when the upcoming network coverage is limited, the bit rate of the streamed content can be increased to ensure the buffer is sufficiently large to allow the user to experience (or appear to experience) uninterrupted streaming during the limited network connectivity. The bit rate can be calculated based on calculating a buffer size that can provide content at the play rate for the duration that the device is in a minimal or no network coverage area.

Abstract: Described herein are systems and methods for predictive pre-buffering of content for a user. Embodiments include a prediction system that can receive trending information from social media sources and other streaming video sources. The prediction system can also receive user viewing history to identify the programs the user has viewed, the genres of the programs the user has viewed, and amount of programming the user consumes. Based on the user's viewing history, the prediction system can identify preferred genres for the user and other preferred content information. Based on the trending programs and the user's preferred genres, the prediction system can predict which of the trending programs that the user may watch. Based on the prediction, the system can pre-buffer some portion of the programs that the system predicted the user may watch in a cache of the device on which the user watches programming.

Abstract: Described herein are systems and methods for optimizing buffering of streamed content based on upcoming coverage. For example, during a trip, the bit rate for transmission and receipt of streamed content can be dynamically adjusted based on the upcoming coverage such that when the upcoming network coverage is limited, the bit rate of the streamed content can be increased to ensure the buffer is sufficiently large to allow the user to experience (or appear to experience) uninterrupted streaming during the limited network connectivity. The bit rate can be calculated based on calculating a buffer size that can provide content at the play rate for the duration that the device is in a minimal or no network coverage area.

Abstract: Described herein are systems and methods for optimizing buffering of streamed content based on upcoming coverage. For example, during a trip, the bit rate for transmission and receipt of streamed content can be dynamically adjusted based on the upcoming coverage such that when the upcoming network coverage is limited, the bit rate of the streamed content can be increased to ensure the buffer is sufficiently large to allow the user to experience (or appear to experience) uninterrupted streaming during the limited network connectivity. The bit rate can be calculated based on calculating a buffer size that can provide content at the play rate for the duration that the device is in a minimal or no network coverage area.

Abstract: Described herein are systems and methods for predictive pre-buffering of content for a user. Embodiments include a prediction system that can receive trending information from social media sources and other streaming video sources. The prediction system can also receive user viewing history to identify the programs the user has viewed, the genres of the programs the user has viewed, and amount of programming the user consumes. Based on the user's viewing history, the prediction system can identify preferred genres for the user and other preferred content information. Based on the trending programs and the user's preferred genres, the prediction system can predict which of the trending programs that the user may watch. Based on the prediction, the system can pre-buffer some portion of the programs that the system predicted the user may watch in a cache of the device on which the user watches programming.

Abstract: Described herein are systems and methods for optimizing buffering of streamed content based on upcoming coverage. For example, during a trip, the bit rate for transmission and receipt of streamed content can be dynamically adjusted based on the upcoming coverage such that when the upcoming network coverage is limited, the bit rate of the streamed content can be increased to ensure the buffer is sufficiently large to allow the user to experience (or appear to experience) uninterrupted streaming during the limited network connectivity. The bit rate can be calculated based on calculating a buffer size that can provide content at the play rate for the duration that the device is in a minimal or no network coverage area.

Abstract: Described herein are systems and methods for predictive pre-buffering of content for a user. Embodiments include a prediction system that can receive trending information from social media sources and other streaming video sources. The prediction system can also receive user viewing history to identify the programs the user has viewed, the genres of the programs the user has viewed, and amount of programming the user consumes. Based on the user's viewing history, the prediction system can identify preferred genres for the user and other preferred content information. Based on the trending programs and the user's preferred genres, the prediction system can predict which of the trending programs that the user may watch. Based on the prediction, the system can pre-buffer some portion of the programs that the system predicted the user may watch in a cache of the device on which the user watches programming.