Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A method and system to recommend performances based on the performances' excitement-level as determined from events and characteristics associated with the performance and a subscriber's preference is described herein. A subscriber's preference influences the performance type and performance characteristics that are exciting to the subscriber. Recommendations for performances can be sent to the subscriber as a link or direct connection to a location of the online performance. Recommendations of a performance preserve the excitement of the performance by not revealing the score, outcome, or any statistics or commentary that would spoil the natural buildup of excitement from watching the live performance. Performance recommendations may include a start-time and end-time for watching only the exciting portions of the performance.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A method and system to recommend performances based on the performances' excitement-level as determined from events and characteristics associated with the performance and a subscriber's preference is described herein. A subscriber's preference influences the performance type and performance characteristics that are exciting to the subscriber. Recommendations for performances can be sent to the subscriber as a link or direct connection to a location of the online performance. Recommendations of a performance preserve the excitement of the performance by not revealing the score, outcome, or any statistics or commentary that would spoil the natural buildup of excitement from watching the live performance. Performance recommendations may include a start-time and end-time for watching only the exciting portions of the performance.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.