Tamar Cohen-Hillel

UBC Sauder

2053 Main Mall

Vancouver, BC V6T 1Z2

Canada

Massachusetts Institute of Technology (MIT) - Operations Research Center

77 Massachusetts Avenue

Bldg. E 40-149

Cambridge, MA 02139

United States

SCHOLARLY PAPERS

4

DOWNLOADS

791

TOTAL CITATIONS

8

Scholarly Papers (4)

1.

Detecting Customer Trends for Optimal Promotion Targeting

Number of pages: 48 Posted: 12 Sep 2018 Last Revised: 13 Aug 2019
University of Michigan, Stephen M. Ross School of Business, Oracle Retail Science, UBC Sauder, Oracle Retail Science and Massachusetts Institute of Technology (MIT) - Sloan School of Management
Downloads 791 (65,444)
Citation 8

Abstract:

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Retail Operations, Demand Modeling, Instrumental Variables, Promotion Optimization, Promotion Targeting, Approximation Algorithms

2.

Capturing Cannibalization and Complementarity Effects in Retail. A Multimodal Deep Learning Approach

Posted: 06 Feb 2024
UBC Sauder, Massachusetts Institute of Technology (MIT), Operations Research Center, Students, Massachusetts Institute of Technology (MIT) - Sloan School of Management and ETH Zürich - Department of Management, Technology, and Economics (D-MTEC)

Abstract:

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cross-item effects, multimodal deep learning

3.

High-Low Promotion Policies for Peak-End Demand Models

Posted: 26 Apr 2019
Tamar Cohen-Hillel, Kiran Panchamgam and Georgia Perakis
UBC Sauder, Oracle Retail Science and Massachusetts Institute of Technology (MIT) - Sloan School of Management

Abstract:

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Pricing Analytics, Promotion Optimization, Polynomial-Time Approximation Scheme

4.

Bounded Memory Peak End Models Can Be Surprisingly Good

Posted: 26 Apr 2019
Tamar Cohen-Hillel, Kiran Panchamgam and Georgia Perakis
UBC Sauder, Oracle Retail Science and Massachusetts Institute of Technology (MIT) - Sloan School of Management

Abstract:

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Demand Models, Data Analytics, Promotion Optimization