Taboola.com Ltd.

Asaf Rubin

Lior Golan

Yaniv Meoded

Gil Chamiel

Aviv Sinai

Moshe Salomon

Daniel Slutsky

Alon Pilberg

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.

System and method for the presentation of alternative content to viewers of video content

The presently disclosed subject matter includes at least a method, system and a program storage device of estimating click through rate (CTR) of a pair of source and recommendation, the source comprising a plurality of slots, each slot configured to present a served recommendation. The CTR estimation is performed by first determining an estimated calibration CTR coefficient for each slot and then using this information for calculating an estimated CTR of a given slot when served with a given recommendation in a given source.

Click through rate estimation in varying display situations

System and method for the presentation of alternative content to viewers video content

Growing community of inventors

Moshav Herev Le'et, Israel

Asaf Rubin