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Machine Learning and Data Mining in Call of Duty

机译:使命召唤中的机器学习和数据挖掘

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Data science is relatively new to the video game industry, but it has quickly emerged as one of the main resources for ensuring game quality. At Activision, we leverage data science to analyze the behavior of our games and our players to improve in-game algorithms and the player experience. We use machine learning and data mining techniques to influence creative decisions and help inform the game design process. We also build analytic services that support the game in real-time; one example is a cheating detection system which is very similar to fraud detection systems used for credit cards and insurance. This talk will focus on our data science work for Call of Duty, one of the bestselling video games in the world.
机译:数据科学在视频游戏行业中相对较新,但它已迅速成为确保游戏质量的主要资源之一。在Activision,我们利用数据科学来分析我们的游戏和玩家的行为,以改善游戏中的算法和玩家体验。我们使用机器学习和数据挖掘技术来影响创意决策并帮助告知游戏设计过程。我们还建立了实时支持游戏的分析服务。一个例子是作弊检测系统,它与用于信用卡和保险的欺诈检测系统非常相似。此次演讲的重点是我们为《使命召唤》所做的数据科学工作,《使命召唤》是世界上最畅销的视频游戏之一。

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