Machine Learning and Causal Inference for Advertising Effectiveness

Описание к видео 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/

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