How Riot Games Uses Data to Maximize Engagement & Enjoyment

ABOUT THE TALK:
League of legends faces lots of interesting problems in the data space that are unique due to the video game aspect. How do you deploy and train models in a binary video game? How has the data and ML stack changed since the league's inception in 2009? How do you do player-facing ML (Lane detection, feeding detection, etc.) and decision science at this scale?
ABOUT THE SPEAKER:
Ian is a senior software engineer at Riot Games, working on the League Data Central team. Along with his team, Ian ships Machine Learning and Data products to millions of league of legends and tft players including in game recommendations, player behaviour models, and internal decision science to help make the game a better place for all.
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[@lostg6226]

Great video!

[@Dasherist]

9:30 then fire the game designers for LoL, wtf. Running down isnt punished since season 2, but if you type "cancer" onetime or a different "bad word" you get a chat restric into ban, wtf :D and this is coming from a guy who never got banned and I am not toxic but I still want people to freely say WHATEVER THEY WANT