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游戏先行:暴雪娱乐的数据科学

Gameplay First: Data Science at Blizzard Entertainment
课程网址: https://videolectures.net/videos/kdd2016_chemudugunta_data_scienc...  
主讲教师: Chaitanya Chemudugunta
开课单位: KDD 2016研讨会
开课时间: 2016-10-12
课程语种: 英语
中文简介:
暴雪娱乐以游戏玩法为先,以开发《魔兽世界》、《星际争霸》、《暗黑破坏神》、《炉石传说》、《风暴英雄》和《守望先锋》等高级游戏而闻名。每天有数千万玩家登录并与各种游戏功能进行交互,从而产生大量丰富多样的数据流。在本次演讲中,我将概述暴雪的数据科学挑战,并讨论游戏设计领域的两个挑战。具体来说,我将讨论竞技游戏中配对的挑战和解决方案;并讨论如何使用游戏玩法和玩家细分来告知游戏平衡。
课程简介: With a focus on gameplay first, Blizzard Entertainment is known for developing premium games like World of Warcraft, Starcraft, Diablo, Hearthstone, Heroes of the Storm and Overwatch. Tens of millions of players login daily and interact with a variety of game features generating massive amounts of rich and diverse data streams. In this talk, I will provide a general overview of data science challenges at Blizzard and discuss two challenges in the area of game design. Specifically, I will discuss challenges and solutions for matchmaking in competitive games; and discuss how gameplay and player segmentation can be used to inform game balance.
关 键 词: 数据科学; 数据流; 解决方案
课程来源: 视频讲座网
数据采集: 2025-01-07:liyq
最后编审: 2025-01-07:liyq
阅读次数: 12