Engagement Optimized Matchmaking

#1

m4

https://web.cs.ucla.edu/~yzsun/papers/WWW17Chen_EOMM

#2

cloudberry

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This is really cool stuff—gonna have to read it in full tomorrow

#3

m4

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It's actually the opposite of cool stuff unfortunately.

Excerpt:

"In this paper, we propose an Engagement Optimized Matchmaking (EOMM) framework that maximizes overall player engagement. We prove that equal-skill based matchmaking is a special case of EOMM on a highly simplified assumption that rarely holds in reality. Our simulation on real data from a popular game made by Electronic Arts,Inc. (EA) supports our theoretical results, showing significant improvement in enhancing player engagement compared to existing matchmaking methods."

Translation:
In free to play games, we need to find a way to keep players coming back because it seems like sbmm doesn't do that. Instead we match people who likely will play games together and the results of those games will keep them coming back.

#4

IonlywatchvcjXD

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Lol I thought your excerpt says there's no such thing as equal skill matchmaking 😂

#5

bees

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Note that this was only tested on 1v1 games and the paper specifically states more testing needs to be done to see if it applies to team-based games. I don't know if that research has been done.

#7

m4

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This paper came out in 2017. The lead developer at xDefiant says most of the industry uses some form of eomm.

https://www.youtube.com/watch?v=WMy9Ytq_cG4

#9

nobody___100

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is this basically losers/winners queue

#6

IonlywatchvcjXD

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Maybe I should justify my time wasted on vlr by doing a research here 😂

#8

nobody___100

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lowkey i should do that
"sentiment analysis on posts from the subhuman and mentally struggling vlr community to determine the real-life personalities and characteristics of users"