30-01-2020 дата публикации
Номер: US20200037016A1
Принадлежит:
An ad is placed in a movie, by analyzing inherent characteristics of the movie, analyzing viewed characteristics of the movie, analyzing viewer characteristics of a viewer of the movie, obtaining advertiser preferences for placement of the ad in the movie, determining costs of placing the ad in the movie based on the inherent characteristics of the movie, the viewed characteristics of the movie, the viewer characteristics and the advertiser preferences, and placing the ad in the movie in accordance with the inherent characteristics of the movie, the viewed characteristics of the movie, the viewer characteristics, the advertiser preferences and the determined costs. 1. A method of video content placement optimization based on behavior and content analysis , the method comprising:analyzing, by a computer, video characteristics of a video, the video characteristics of the video including information in the video;determining, by the computer, whether the video has been previously viewed; 'obtaining statistics of the video from play trails that track viewing behavior, each play trail representing a timestamped sequence of actions that a viewer takes in playing the video, the statistics of the video including a number of playback events recorded in the play trails;', 'responsive to an indication that the video has been previously viewed, determining, by the computer, viewed characteristics of the video, the determining the viewed characteristics of the video comprisingdetermining, by the computer, whether content placement in the video is occurring in real time;responsive to an indication that the content placement in the video is occurring in real time, determining, by the computer, viewer characteristics of the video, including at least one of demographic information of the viewer, an action of the viewer, or a material previously viewed by the viewer;retrieving or obtaining, by the computer, content placement preferences that specify a content placement price setting ...
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