Matching players for networked gaming applications
US10894215B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 27, 2017 |
| Grant date | Jan 19, 2021 |
| Priority date | — |
| Expiry date | Aug 5, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides for matching users into user groups based on user attributes. A neural network is trained using training data including user data of users in an observed grouping and various outcomes or optimization parameters associated with the observed grouping. The trained neural network is used to process a set of queried players determine a match quality for the queried players with respect to certain outcomes or optimization parameters based at least in part on the user data associated with the users. The match quality is a measure of how optimized a group containing the queried users is with respect to the optimization parameters and can be compared to a threshold. The queried users may be matched into a group if the match quality meets or exceeds the threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.