Google Inc.

Kyle Zaragoza

Yew Jin Lim

Randolph Gregory Brown

James A Kunz

David Muquing Hou

Tao Feng

Nikita Kirnosov

Beidou Wang

Yi Li

Processor(s) of a client device can: analyze one or more features of an electronic resource that is under consideration for solicitation to a user; determine a notification likelihood that the user will access the electronic resource in response to an unsolicited notification of the electronic resource being output to the user; determine a baseline likelihood that the user will access the electronic resource without being solicited; compare the notification likelihood with the baseline likelihood; and cause, based on the comparing, the unsolicited notification to be output to the user. In some implementations, determining the notification likelihood and/or the baseline likelihood is based on applying data associated with the electronic resource as input across a machine learning model to generate output indicative of the notification likelihood and/or the baseline likelihood. In other implementations, determining the notification likelihood and/or the baseline likelihood is based on past behavior or preference(s) of the user.

Modeling lift of metrics for triggering push notifications

Growing community of inventors

East Palo Alto, CA, United States of America

Kyle Zaragoza