Research

Working Papers

Artem Timoshenko and John R. Hauser (2017), “Identifying Customer Needs from User-Generated Content,” Major Revision, Marketing Science

Duncan Simester, Artem Timoshenko, and Spyros I. Zoumpoulis (2017), “Customizing Marketing Decisions Using Field Experiments,” Major Revision, Management Science 

Duncan Simester, Artem Timoshenko, and Spyros I. Zoumpoulis (2017), “Efficiently Evaluating Targeting Policies Using Field Experiments,” Under Review, Management Science

Theodoros Evgeniou, Duncan Simester, Artem Timoshenko, and Spyros I. Zoumpoulis (2017), “Using Past Responders to Target Non-Responders,” Under Review, Marketing Science

Work In Progress

“Cross-Category Product Choice: A Scalable Deep-Learning Approach,” with Sebastian Gabel

“Leveraging Incomplete Customer Journeys with Deep Neural Models,” with Glen Urban and Paramveer Dhillon

“Optimal Product Design with Deep Learned Visual Features,” with Liu Liu

“Large Scale Coupon Optimization,” with John R. Hauser and Sebastian Gabel

Papers in Proceedings

Artem Timoshenko and John R. Hauser (2016), “Mining and Organizing User-Generated Content to Identify Attributes and Attribute Levels,” Proceedings of the Sawtooth Software Conference, Park City, Utah, September 28-30, 2016