Artem Timoshenko

Kellogg School of Management, Northwestern University

2001 Sheridan Road

Evanston, IL 60208

United States

  • Kellogg School of Management, Northwestern University

SCHOLARLY PAPERS

6

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SSRN CITATIONS
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11

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Scholarly Papers (6)

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1.

Identifying Customer Needs from User-Generated Content

Number of pages: 50 Posted: 14 Jun 2017 Last Revised: 16 Jul 2018
Artem Timoshenko and John R. Hauser
Kellogg School of Management, Northwestern University and MIT Sloan School of Management
Downloads 607 (45,760)
Citation 9

Abstract:

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Customer Needs, Online Reviews, Machine Learning, Voice of the Customer, User-generated Content, Market Research, Text Mining; Deep Learning, Natural Language Processing

2.

Efficiently Evaluating Targeting Policies: Improving Upon Champion vs. Challenger Experiments

INSEAD Working Paper No. 2017/63/DSC
Number of pages: 26 Posted: 12 Aug 2017 Last Revised: 15 May 2019
Duncan Simester, Artem Timoshenko and Spyros Zoumpoulis
Massachusetts Institute of Technology (MIT) - Sloan School of Management, Kellogg School of Management, Northwestern University and INSEAD - Decision Sciences
Downloads 213 (150,400)
Citation 1

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targeting, field experiments, counterfactual policy logging, standard errors

3.

Cross-Category Product Choice: A Scalable Deep-Learning Model

Number of pages: 34 Posted: 21 Jun 2019
Sebastian Gabel and Artem Timoshenko
Humboldt University of Berlin - School of Business and Economics and Kellogg School of Management, Northwestern University
Downloads 147 (208,814)
Citation 5

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Product Choice Model, Neural Networks, Deep Learning, Cross-Category Choice, Retail Analytics

4.

Design and Evaluation of Product Aesthetics: A Human-Machine Hybrid Approach

Number of pages: 37 Posted: 19 Jul 2019
Alex Burnap, John R. Hauser and Artem Timoshenko
MIT Sloan School of Management, MIT Sloan School of Management and Kellogg School of Management, Northwestern University
Downloads 141 (217,144)

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Aesthetics, Generative Adversarial Networks, Generating New Products, Machine Learning, Prelaunch Forecasting, Product Development, Variational Autoencoders.

5.

Soul and Machine (Learning)

NYU Stern School of Business
Number of pages: 19 Posted: 24 Sep 2019
Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun (DK) Lee, Randall A. Lewis, Kanishka Misra, Eric M. Schwartz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Marshall School of Business, University of Southern California, MIT Sloan School of Management, New York University (NYU) - Leonard N. Stern School of Business, Harvard University - Business School (HBS), MIT Sloan School of Management, Duke University, Fuqua School of Business, Carnegie Mellon University - David A. Tepper School of Business, Netflix, University of Michigan, Stephen M. Ross School of Business, University of Michigan, Stephen M. Ross School of Business, Kellogg School of Management, Northwestern University, affiliation not provided to SSRN and University of Washington
Downloads 124 (238,687)

Abstract:

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Machine learning, marketing

6.

Using Past Responders to Target Non-Responders

INSEAD Working Paper No. 2017/61/DSC
Number of pages: 47 Posted: 20 Sep 2017
Theodoros Evgeniou, Duncan Simester, Artem Timoshenko and Spyros Zoumpoulis
INSEAD, Massachusetts Institute of Technology (MIT) - Sloan School of Management, Kellogg School of Management, Northwestern University and INSEAD - Decision Sciences
Downloads 86 (306,294)

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