Generating expanded content in a video stream based on predicting viewer behavior

A system program product for expanding media content in a video during rendering of the video, comprising:

• a processor;
• and
• a computer readable storage medium having computer readable program code embodied therein that when executed by the processor performs operations, the operations comprising:
• determining promoted content rendered in the video;
• in response to determining the promoted content, invoking at least one machine learning model to perform:
• determining whether a viewer of the video is interested in the promoted content;
• and
• generating expanded content for a duration in response to determining that the viewer of the video is interested in the promoted content;
• pausing the rendering of the video;
• rendering the expanded content for the duration while pausing the rendering of the video;
• and
• continuing the rendering of the video in response to completing the rendering of the expanded content.

A method for expanding media content in a video during rendering of the video, comprising:

• determining promoted content rendered in the video;
• in response to determining the promoted content, invoking at least one machine learning model to perform:
• determining whether a viewer of the video is interested in the promoted content;
• and
• generating expanded content for a duration in response to determining that the viewer of the video is interested in the promoted content;
• pausing the rendering of the video;
• rendering the expanded content for the duration while pausing the rendering of the video;
• and
• continuing the rendering of the video in response to completing the rendering of the expanded content.