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微软在线服务中的三个机器学习系统：TrueSkill，AdPredictor和Matchbox
Machine Learning in Microsoft's Online Services: TrueSkill, AdPredictor, and Matchbox |
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| 课程网址: |
http://videolectures.net/ecmlpkdd2010_graepel_mlm/
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| 主讲教师: |
Thore Graepel
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| 开课单位: |
微软公司
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| 开课时间: |
2010-09-29
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| 课程语种: |
英语
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| 中文简介: |
机器学习在微软的在线服务中起着至关重要的作用。在本次演讲中，我将介绍机器学习的三个强大应用。
TrueSkill是Xbox Live的排名和对接系统，可确保在线游戏玩家与同等技能的对手进行平衡和激动人心的比赛。 AdPredictor是用于估算微软搜索引擎Bing中广告和定价点击率（CTR）的系统。 Matchbox是一个大规模的贝叶斯推荐系统，它结合了协同过滤和基于内容推荐的各个方面，它目前用于projectemporia.com网站内的推文推荐。
所有这三个系统的共同之处在于它们基于图形模型和近似贝叶斯推理的技术，也在大规模运行。我将讨论基础模型和算法以及特定于应用程序的见解和发现。如果时间允许，我将展示三个系统的实际运行情况。这是基于与Ralf Herbrich，David Stern，Thomas Borchert，Tom Minka和Joaquin Quiñonero Candela的合作。
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| 课程简介: |
Machine Learning plays a crucial role in Microsoft's online services. In this talk, I will describe three powerful applications of machine learning.
TrueSkill is Xbox Live's Ranking and Matchmaking system and ensures that gamers online have balanced and exciting matches with equally skilled opponents. AdPredictor is the system that estimates click-through rates (CTR) for ad selection and pricing within Microsoft's search engine Bing. Matchbox is a large scale Bayesian recommender system that combines aspects of collaborative filtering and content-based recommendation. It is currently being used for tweet recommendation within projectemporia.com.
All three systems have in common that they are based on techniques from graphical models and approximate Bayesian inference, yet operate at large scale. I will discuss the underlying models and algorithms as well as application-specific insights and findings. Time permitting, I will show the three systems in action. This is based on joint work with Ralf Herbrich, David Stern, Thomas Borchert, Tom Minka, and Joaquin Quiñonero Candela.
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| 关 键 词: |
机器学习; 微软在线服务; 排名对接系统; 广告点击率; 贝叶斯推理
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| 课程来源: |
视频讲座网
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| 最后编审: |
2020-06-08：吴雨秋(课程编辑志愿者)
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| 阅读次数: |
114
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