图 书 馆
在Web上计划、运行和分析受控实验Planning, Running, and Analyzing Controlled Experiments on the Web |
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| 课程网址: | http://videolectures.net/kdd09_kohavi_longbotham_pracew/ |
| 主讲教师: | Ron Kohavi; Roger Longbotham |
| 开课单位: | 微软研究 |
| 开课时间: | 2009-09-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The web provides an unprecedented opportunity to evaluate ideas quickly using controlled experiments, also called randomized experiments, A/B tests (and their generalizations), split tests, and MultiVariable Tests (MVT). Controlled experiments embody the best scientific design for establishing a causal relationship between changes and their influence on user-observable behavior. Data Mining and Knowledge Discovery techniques can then be used to analyze the data from such experiments. The tutorial will provide a survey and practical guide to running controlled experiments based on the recently published survey article in the Data Mining and Knowledge Discovery Journal, co-authored with the two of the tutorial co-presenters Controlled Experiments on the Web: Survey and Practical Guide, and based on the book “Always Be Testing” co-authored by the 3rd tutorial co-presenter Always Be Testing: The Complete Guide to Google Website Optimizer. The book includes use of industry tools, such as Google Website Optimizer and recently ranked #2 on Amazon’s sales rank for computers/e-commerce books. The tutorial includes multiple real-world examples of actual controlled experiments (many with surprising results), a review the theory and the statistics used to plan and analyze such experiments, and a discussion of the limitations and pitfalls that might face experimenters. Demos will be shown of some tools that support controlled experiments. |
| 关 键 词: | 受控实验; 快速评估; 统计数据 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-07：chenjy |
| 最后编审: | 2022-12-07：chenjy |
| 阅读次数: | 31 |