Amazon Technologies, Inc.

Robert James Victor

Kirtan Modi

Amit Gupta

Qie Hu Huang

Xinyu Zhou

Vykunth Ashok

Shuang Li

Vamshi Krishna Surabhi

Yongzhen Lu

Ying Zhang

Junichi Suzuki

Cristobal Garib Herrera

Benjamin Erik Johnson

Xinyu Chen

Devices, systems, and methods are provided for managing advertisement exposure. The method may include receiving, by a first device, from a second device, an audio fingerprint based on presentation of first media content using a first media channel at a first time; determining, using automatic content recognition, that the audio fingerprint represents a portion of a first advertisement; determining that the first advertisement was presented at a second time using a second media channel and the second device; determining that a first number of times that the first advertisement has been presented to the user exceeds a first threshold number and that a second number of times that the first advertisement has been presented to the user does not exceed a second threshold number; refraining from selecting the first advertisement at a third time; and selecting the first advertisement for presentation at a fourth time.

Enhanced cross-media channel deterministic and modeled presentation frequency limits

Devices, systems, and methods are provided for demographic matching and content selection for unidentified audiences. A method may include receiving, by a first device of a first device type, a request to present first content to a user of a first audience using a second device; determining a time at which the first content is to be presented to the first audience using the second device; identifying a second audience to which the second content is to be presented using devices of the first device type during a time period that includes the time; determining a probability that the user belongs to an audience group that includes users of the second audience based on the second content, the time period, and a second device type of the second device; and causing selection of the first content or third content for presentation to the first audience.

Audience matching and content selection for unidentified audiences

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

Devices, systems, and methods are provided for audience recognition. A method may include receiving over-the-top (OTT) advertisement impression data comprising metadata and content of advertisement bid requests, the metadata indicative of scheduled OTT media presentation; receiving user activity data indicative of day-part times when viewers watch content absent from the OTT advertisement impression data; generating, based on the OTT advertisement impression data, a first demographic probability vector; generating, based on the user activity data, a second demographic probability vector; generating, based on a combination of the first demographic probability vector and the second demographic probability vector, a third demographic probability vector, each entry of the third demographic probability vector indicative of a third probability that a viewer is in a respective age range; and generating an indication of the third demographic probability vector.

Enhanced recognition of content audiences

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Brookville, PA, United States of America

Robert James Victor