US 10,894,215 B1Granted

Matching players for networked gaming applications

AssigneeAmazon Technologies, Inc.

InventorsBruce Erwin Brown, Geoffrey Scott Pare, Brian James Schuster, Christopher David Byskal

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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.

Claims19

Dependent claims

A computing system, comprising:

at least one computing device processor;
and
a memory device including instructions that, when executed by the at least one computing device processor, enables the computing system to:
receive training data associated with an observed game session involving a set of players, the training data including i) player attributes associated with the set of players and ii) game outcome parameters associated with the observed game session, including an observed value of an optimization parameter;
train a neural network, using the training data, to determine a match quality of a given set of players with respect to the optimization parameter, the match quality based at least in part on player attributes associated with the given set of players;
receive player attributes associated with a queried set of players;
process the player attributes associated with the queried set of players through the neural network;
determine the match quality of the queried set of players;
and
assign the queried set of players to a multi-player game session based at least in part on the match quality of the queried set of players, satisfying a predetermined threshold value.

7 more elements

A computing system, comprising:

at least one computing device processor;
and
a memory device including instructions that, when executed by the at least one computing device processor, enables the computing system to:
provide a match model trained to determine a match quality of a set of users with respect to an optimization parameter, the match quality based at least in part on user attributes associated with the set of users;
receive user attributes associated with a queried set of users;
process the user attributes associated with the queried set of users through the match model;
determine a match quality of the queried set of users;
and
assign at least a portion of the queried set of users into a user group based at least in part on the match quality of the queried set of users, satisfying a predetermined threshold value.

6 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/635,050Filed 27 Jun 2017
Granted: 19 Jan 2021
Term ends: Not estimatedThe source records don’t support an estimate.

Classification8 codes

A63F 13/795
Involving player-related data, e.g. identities, accounts, preferences or play histories: for finding other players; for building a team; for…
A63F 13/35
Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection…: details…
A63F 13/67
Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or…:…
G06N 3/0499
Architecture, e.g. interconnection topology: feedforward networks