Google Inc.

Ali Nasiri Amini

Yang Jiao

Yang Zhang

Jing Wang

Ruoyi Jiang

Zhuo Zhang

Xinlong Bao

Amy Richardson

Mert Dikmen

Junji Takagi

Sen Li

Dinah Shender

Oren Eli Zamir

Alok Aggarwal

Ardian Poernomo

Qing Xu

Alireza Darvish

Eu-Jin Goh

Methods, systems, and computer programs encoded on a computer storage medium, for training and using machine learning models are disclosed. Methods include creating a model that represents relationships between user attributes, content exposures, and performance levels for a target action using organic exposure data specifying one or more organic exposures experienced by a particular user over a specified time prior to performance of a target action by the particular user and third party exposure data specifying third party exposures of a specified type of digital component to the particular user over the specified time period. Using the model, an incremental performance level attributable to each of the third party exposures at an action time when the target action was performed by the particular user is determined. Transmission criteria for at least some digital components to which the particular user was exposed are modified based on the incremental performance.

Contribution incrementality machine learning models

Methods, systems, and apparatus for content item auction bidding. In one aspect, a method includes receiving a request for a content item, the request including request feature values and a device identifier, the device identifier being included in a remarketing list; obtaining a predicted performance measure for a remarketing content item associated with the remarketing list based on a first timestamp and a second timestamp, the first timestamp being included in the remarketing list and associated with the device identifier included in the request, and the second timestamp being for the request; determining a bid adjustment value based on the first timestamp and the second timestamp; obtaining a remarketing bid for the remarketing content item, the remarketing bid specifying an amount a content item provider is willing to pay for distribution of the remarketing content item; and adjusting the remarketing bid based on the bid adjustment value.

Content item auction bidding

Growing community of inventors

Redwood City, CA, United States of America

Ali Nasiri Amini