A method and device for matching game players, electronic equipment and storage medium

By training a game battle matchmaking model and utilizing multi-dimensional game data and global matchmaking rationality conditions, the problem of inaccurate positioning in existing ELO score algorithms has been solved, achieving efficient and accurate matchmaking for multiple matches and improving game balance and experience.

CN115738293BActive Publication Date: 2026-05-01NETEASE (HANGZHOU) NETWORK CO LTD
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Patent Information

Application Number
CN202211566094.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-12-07
Publication Date
2026-05-01
Estimated Expiration
2042-12-07

AI Technical Summary

Technical Problem

Existing matchmaking systems based on the ELO rating algorithm only use a single dimension of ELO rating to determine player skill level, resulting in a large skill gap between the two teams after matchmaking, low matchmaking accuracy, and affecting game balance.

Method used

By acquiring game data from multiple players awaiting matchmaking, inputting it into the trained game battle matchmaking model, and matching multiple players according to global matchmaking rationality conditions, the target player team matchmaking results for multiple matches are determined, satisfying the condition of maximizing global benefits.

Benefits of technology

It enables simultaneous matching of multiple matches, ensuring the global optimal matching results and improving global matching accuracy and game balance.

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Abstract

The application relates to the technical field of games, in particular to a game player matching method and device, electronic equipment and a storage medium. The application inputs game data of a plurality of to-be-matched players into a trained game battle matching model, and matches the plurality of to-be-matched players according to a global matching rationality condition, so that a target player team matching result of a plurality of matches that satisfy global maximum profit maximization as a whole can be determined. In this way, the application can not only match a plurality of matches at one time, but also ensure the global optimality of the matching result, so that the purpose of improving the global matching accuracy and the game balance is achieved.
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