图 书 馆
基于因果中介分析的在线A/B测试中直接和间接影响的识别与估计The Identification and Estimation of Direct and Indirect Effects in Online A/B Tests through Causal Mediation Analysis |
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| 课程网址: | http://videolectures.net/kdd2019_yin_hong_identification/ |
| 主讲教师: | Xuan Yin |
| 开课单位: | Etsy公司 |
| 开课时间: | 2020-03-02 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | E-commerce companies have a number of online products, such as organic search, sponsored search, and recommendation modules, to fulfill customer needs. Although each of these products provides a unique opportunity for users to interact with a portion of the overall inventory, they are all similar channels for users and compete for limited time and monetary budgets of users. To optimize users’ overall experiences on an E-commerce platform, instead of understanding and improving different products separately, it is important to gain insights into the evidence that a change in one product would induce users to change their behaviors in others, which may be due to the fact that these products are functionally similar. In this paper, we introduce causal mediation analysis as a formal statistical tool to reveal the underlying causal mechanisms. Existing literature provides little guidance on cases where multiple unmeasured causally-dependent mediators exist, which are common in A/B tests. We seek a novel approach to identify in those scenarios direct and indirect effects of the treatment. In the end, we demonstrate the effectiveness of the proposed method in data from Etsy’s real A/B tests and shed lights on complex relationships between different products. |
| 关 键 词: | 电子商务; 因果中介; 直接作用; 间接作用 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-04-30：zhouxj |
| 最后编审: | 2020-07-09：chenxin |
| 阅读次数: | 52 |