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Artem Timoshenko
Artem Timoshenko
Assistant Professor of Marketing, Northwestern University
Verified email at kellogg.northwestern.edu
Title
Cited by
Cited by
Year
Identifying Customer Needs from User-Generated Content
A Timoshenko, JR Hauser
Marketing Science 38 (1), 1-20, 2019
2312019
Targeting prospective customers: Robustness of machine-learning methods to typical data challenges
D Simester, A Timoshenko, SI Zoumpoulis
Management Science 66 (6), 2495-2522, 2020
502020
Design and evaluation of product aesthetics: A human-machine hybrid approach
A Burnap, JR Hauser, A Timoshenko
arXiv preprint arXiv:1907.07786, 2019
252019
Efficiently Evaluating Targeting Policies: Improving on Champion vs. Challenger Experiments
D Simester, A Timoshenko, SI Zoumpoulis
Management Science 66 (8), 3412-3424, 2020
222020
Is deep learning a game changer for marketing analytics?
GL Urban, A Timoshenko, PS Dhillon, JR Hauser
Massachusetts Institute of Technology, 2019
192019
Soul and Machine (Learning)
D Proserpio, JR Hauser, X Liu, T Amano, A Burnap, T Guo, DDK Lee, ...
Marketing Letters 31 (4), 393-404, 2020
122020
Product Choice with Large Assortments: A Scalable Deep-Learning Model
S Gabel, A Timoshenko
Management Science 68 (3), 1591-2376, 2022
10*2022
Scaling human effort in idea screening and content evaluation
P Kireyev, A Timoshenko, CL Yang
INSEAD Working Paper, 2020
12020
Transferring Information Between Marketing Campaigns to Improve Targeting Policies
A Timoshenko, M Ibragimov, D Simester, J Parker, A Schoar
2020
Using the Timing of Past Responses in Targeting Models to Address Dilution
T Evgeniou, D Simester, A Timoshenko, SI Zoumpoulis
2020
How do successful scholars get their best research ideas? An exploration
C Cao, X Cao, M Cashman, M Kumar, A Timoshenko, J Yang, S Yu, ...
Marketing Letters 30 (3), 221-232, 2019
2019
Mining and Organizing User-Generated Content to Identify Attributes and Attribute Levels
A Timoshenko, JR Hauser
Proceedings of the Sawtooth Software Conference, 295-314, 2016
2016
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Articles 1–12