Abstract: According to certain embodiments of the present invention behavioral patterns are utilized in order to calculate a predicted level of interest of viewers in a specific video item at any given moment throughout the length of the video item. More specifically, according to certain embodiments, this calculation allows to identify instances of peaks of high and low interest throughout the length of the video item. This allows predicting the occurrence of critical moments throughout the video item when it is likely that viewers would abandon the video item on one hand, and moments when viewers are most likely absorbed in the currently presented video, on the other hand. This information allows to capture viewers when their interest in the viewed content is low or decreasing, and to synchronize the presentation of alternative content to these instances.

Abstract: According to certain embodiments of the present invention behavioral patterns are utilized in order to calculate a predicted level of interest of viewers in a specific video item at any given moment throughout the length of the video item. More specifically, according to certain embodiments, this calculation allows to identify instances of peaks of high and low interest throughout the length of the video item. This allows predicting the occurrence of critical moments throughout the video item when it is likely that viewers would abandon the video item on one hand, and moments when viewers are most likely absorbed in the currently presented video, on the other hand. This information allows to capture viewers when their interest in the viewed content is low or decreasing, and to synchronize the presentation of alternative content to these instances.

Abstract: According to certain embodiments of the present invention behavioral patterns are utilized in order to calculate a predicted level of interest of viewers in a specific video item at any given moment throughout the length of the video item. More specifically, according to certain embodiments, this calculation allows to identify instances of peaks of high and low interest throughout the length of the video item. This allows predicting the occurrence of critical moments throughout the video item when it is likely that viewers would abandon the video item on one hand, and moments when viewers are most likely absorbed in the currently presented video, on the other hand. This information allows to capture viewers when their interest in the viewed content is low or decreasing, and to synchronize the presentation of alternative content to these instances.

Abstract: According to certain embodiments of the present invention behavioral patterns are utilized in order to calculate a predicted level of interest of viewers in a specific video item at any given moment throughout the length of the video item. More specifically, according to certain embodiments, this calculation allows to identify instances of peaks of high and low interest throughout the length of the video item. This allows predicting the occurrence of critical moments throughout the video item when is likely that viewers would abandon the video item on one hand, and moments when viewers are most likely absorbed in the currently presented video, on the other hand. This information allows to capture viewers when their interest in the viewed content is low or decreasing, and to synchronize the presentation of alternative content to these instances.

Abstract: Systems and methods for associating content. In one embodiment, one or more techniques are used in associating content. In one embodiment, a unified content stream is created which includes two or more content items (or parts thereof) which have been associated with one another, for example a non-advertisement content item such as a video and associated advertisement(s).