A Literature Survey and Experimental Evaluation of the State-of-the-Art in Uplift Modeling: A Stepping Stone Toward the Development of Prescriptive Analytics-Reference-Cited by-同舟云学术

A Literature Survey and Experimental Evaluation of the State-of-the-Art in Uplift Modeling: A Stepping Stone Toward the Development of Prescriptive Analytics

Published:2018-03 Issue:1 Volume:6 Page:13-41
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Devriendt Floris¹,Moldovan Darie²,Verbeke Wouter¹

Affiliation:

1. Faculty of Economic and Social Sciences and Solvay Business School, Vrije Universiteit Brussel, Brussels, Belgium.

2. Business Information Systems Department, Babeş-Bolyai University, Cluj-Napoca, Romania.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

http://www.liebertpub.com/doi/pdf/10.1089/big.2017.0104

Reference41 articles.

1. From predictive uplift modeling to prescriptive uplift analytics: A practical approach to treatment optimization while accounting for estimation risk

2. Information Response Models: An Integrated Approach

3. Improving direct mail targeting through customer response modeling

4. SirokerD, KoomenP. A/B testing: The most powerful way to turn clicks into customers. Hoboken, NJ: John Wiley & Sons, 2013.

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