Game performance prediction from real-world performance data

US11826657B2 · kind B2 · utility

Assignee

• MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

• Arunabh Verma · Seattle, US
• Rajneil Singh Rana · Kirkland, US
• Seyed Ali Hosseini Khayat · Kirkland, US
• Matthew Dubois · Ayer, US
• Daniel Aaron Dobyns · Snoqualmie, US
• Sebastian Carl Merry · Redmond, US
• Griffin Solimini · Seattle, US
• Shu-Wei Hsu · San Francisco, US
• William Jarrad Bailey · Mercer Island, US
• Timothy John Kiesow · Duvall, US
• Eric Hamilton · Bothell, US
• Kripal Kavi · Seattle, US

Key dates

• Filing date: Mar 9, 2022
• Grant date: Nov 28, 2023
• Expiry date: May 20, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/084
• WIPO field: Furniture, games
• WIPO sector: Other fields

Abstract

In non-limiting examples of the present disclosure, systems, methods, and devices for matching device configurations to games are presented. A set of device configuration tiers may be generated from gameplay telemetry data generated by a plurality of client devices executing a plurality of games. A device configuration for a specific client device may be determined based at least on the specific client device's GUI type. When the specific client device accesses a software game library a determination may be made based on a performance tier corresponding to the device configuration for the specific client device as to whether the specific client device can adequately execute each game. One or more recommendations may be rendered and displayed in the game library based on the determination of whether the specific client device can adequately execute each game.