GDC is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Use the GDC 2021 Session Viewer to browse and sort the ever-growing list of sessions by day, time, pass type, topic, and format. All registered attendees will be able to build their personal schedule directly within the event platform, once live early July 2021. All times are listed in Pacific Time.

Find the Right Match: AI Enhanced Matchmaking Practice in Netease Games

Linxia Gong  (PI of Matchmaking R&D at Fuxi AI Lab, Netease)

Date: Thursday, July 22

Time: 4:20pm - 5:20pm

Pass Type: All Access Pass, Core Pass

Topic: Design, Programming

Format: Session

Vault Recording: Video

Audience Level: N/A: I prefer to present live on-site but I am open to delivering a virtual presentation

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:

1. win patterns: the factors that influence the victory in a match, and the algorithms that incorporate those factors during the application of machine learning
2. churn patterns: the factors that influence the players' churn after this matchmaking proposal, and the tricks to optimize the matchmaking process
3. the matchmaking planning algorithms, which is about solving a combinatorial optimization problem
4. the matchmaking Saas practice in Netease Games.

Takeaway

The attendees will learn the win patterns and churn patterns which should be considered in matchmaking process, how to apply AI methods to better depict heroes, players and game modes, and how to optimize the matchmaking process by solving the combinatorial optimization problem. And the attendees will learn how to design and apply a matchmaking Saas.

Intended Audience

Programmers and designers of all experience levels will be interested in applying AI to understand their game environments and players, and will find operationally-efficient ways to optimize the group competition matchmaking process.

Existing AI practitioners will be inspired with the new applications of well understood techniques.