| Overview: |
Matchmaking is crucial for the player satisfaction in the online player-versus-player games. Many factors should be considered in a matchmaking system design, such as waiting time in the matchmaking queue, network latency difference, skill gaps, defeat streaks, etc. We present the findings and algorithms of our matchmaking practice in Netease Games, about how to model the effects of those factors and optimize the gross players' utility in the assignment process:nn1. win patterns: the factors that influence the victory in a match, and the algorithms that incorporate those factors during the application of machine learningn2. churn patterns: the factors that influence the players' churn after this matchmaking proposal, and the tricks to optimize the matchmaking processn3. the matchmaking planning algorithms, which is about solving a combinatorial optimization problemn4. the matchmaking Saas practice in Netease Games.
|
