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重叠的实验基础设施：更多、更好、更快的实验Overlapping Experiment Infrastructure: More, Better, Faster Experimentation |
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| 课程网址: | http://videolectures.net/kdd2010_tang_oei/ |
| 主讲教师: | Diane Tang |
| 开课单位: | 斯坦福大学 |
| 开课时间: | 2010-10-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-visible changes such as modifications to a user interface, but also more subtle changes such as different machine learning algorithms that might affect ranking or content selection. Our insatiable appetite for experimentation has led us to tackle the problems of how to run more experiments, how to run experiments that produce better decisions, and how to run them faster. In this paper, we describe Google's overlapping experiment infrastructure that is a key component to solving these problems. In addition, because an experiment infrastructure alone is insufficient, we also discuss the associated tools and educational processes required to use it effectively. We conclude by describing trends that show the success of this overall experimental environment. While the paper specifically describes the experiment system and experimental processes we have in place at Google, we believe they can be generalized and applied by any entity interested in using experimentation to improve search engines and other web applications. |
| 关 键 词: | 实验; 用户体验; 学习算法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-05-11：cwx |
| 阅读次数: | 232 |