Modeling lift of metrics for triggering push notifications

US11574339B1 · kind B1 · utility

Assignee

• Google LLC · US

Inventors

• Yew Jin Lim · Cupertino, US
• James A. Kunz · San Jose, US
• Randolph G. Brown · Palo Alto, US
• Beidou Wang · Mountain View, US
• David Hou · Freehold, US
• Kyle Zaragoza · East Palo Alto, US
• Yi Li · Fremont, US
• Nikita Kirnosov · Foster City, US
• Tao Feng · Santa Clara, US

Key dates

• Filing date: Dec 6, 2019
• Grant date: Feb 7, 2023
• Expiry date: Dec 7, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q50/01
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

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.