Amazon Technologies, Inc.

Yongzhen Lu

Kirtan Modi

Robert James Victor

Vamshi Krishna Surabhi

Qie Hu Huang

Xinyu Zhou

Vykunth Ashok

Shuang Li

Ying Zhang

Devices, systems, and methods are provided for on-target rate optimization for video. A method may include receiving streaming video advertisement impression data; receiving user activity data indicative of day-parts when viewers watch content; generating, based on the streaming video advertisement impression data and the survey data, using a machine learning model, a demographic probability vector, wherein each entry of the demographic probability vector is indicative of a probability that a viewer is in a respective age range of the non-overlapping demographic groups; generating, using the machine learning model, an audience recognition model with the demographic probability vector; generating a synthetic audience model predicting future advertisement viewing behavior; generating an assignment of an advertisement bid to a respective demographic group of the non-overlapping demographic groups; and generating, based on the assignment, a list of target demographic groups of the non-overlapping demographic groups for a bid request associated with the advertisement bid.

Enhanced on-target rate optimization for video using machine learning

Growing community of inventors

Mountlake Terrace, WA, United States of America

Yongzhen Lu