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

Burnap, Alex, John R. Hauser, and Artem Timoshenko, MIT Sloan Working Paper 5814-19. Cambridge, MA: MIT Sloan School of Management, July 2019.

"Recommending Products When Consumers Learn their Preference Weights."

Dzyabura, Daria and John R. Hauser. Marketing Science Vol. 38, No. 3 (2019): 417-441. Download Paper.

"Identifying Customer Needs from User-Generated Content."

​Timoshenko, Artem and John R. Hauser. Marketing Science Vol. 38, No. 1 (2019): 1-20. Download Paper.

"Predicting 'Design Gaps' in the Market: Deep Consumer Choice Models under Probabilistic Design Constraints."

Burnap, Alex, and John R. Hauser, MIT Sloan Working Paper 5815-19. Cambridge, MA: MIT Sloan School of Management, January 2019.

"Morphing Theory and Applications."

Liverali, Gui, John R. Hauser, and Glen Urban. In Handbook of Marketing Decision Models, edited by Berend Wierenga, Ralf van der Lans, 531-560. New York, NY: Springer US, 2017.

"Machine Learning Applications for Customer-oriented Recommendation Systems and the Voice of the Customer."

Hauser, John R. Presentation, INFORMS Doctoral Consortium, University of Southern California, Los Angeles, California. June 8, 2017.