Machine Learning and Causal Inference for Advertising Effectiveness
Author:
Susan Athey, Stanford Graduate School of Business, Stanford University
Abstract:
This talk will review several recent methodological approaches to measuring the effectiveness of treatments, such as advertising campaigns. We will discuss methods for dealing with non-random assignment of advertisements to users, as well as methods for estimating optimal policies for assigning advertising to users.
More on http://www.kdd.org/kdd2017/
KDD2017 Conference is published on http://videolectures.net/
Видео Machine Learning and Causal Inference for Advertising Effectiveness канала KDD2017 video
Susan Athey, Stanford Graduate School of Business, Stanford University
Abstract:
This talk will review several recent methodological approaches to measuring the effectiveness of treatments, such as advertising campaigns. We will discuss methods for dealing with non-random assignment of advertisements to users, as well as methods for estimating optimal policies for assigning advertising to users.
More on http://www.kdd.org/kdd2017/
KDD2017 Conference is published on http://videolectures.net/
Видео Machine Learning and Causal Inference for Advertising Effectiveness канала KDD2017 video
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