Location: Conferences » The ACM SIGKDD Conference Series - International Conference on Knowledge Discovery & Data Mining » 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Halifax 2017 » KDD 2017 Workshops

Machine Learning and Causal Inference for Advertising Effectiveness

author: Susan Athey, Stanford Graduate School of Business, Stanford University
published: Dec. 1, 2017,   recorded: August 2017,   views: 1506
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Description

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.

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