Khaled Boughanmi
Assistant Professor of Marketing
Cornell University
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Published & Forthcoming Journal Articles
- Modeling Categorized Consumer Collections with Interlocked Hypergraph Neural Networks,
Khaled Boughanmi, Asim Ansari, and Yang Li.
Journal of Marketing Research, 2025.
- Probabilistic Machine Learning: New Frontiers for Modeling Consumers and their Choices,
Ryan Dew, Nicolas Padilla, Lan E. Luo, Shin Oblander, Asim Ansari, Khaled Boughanmi,
Michael Braun, Fred Feinberg, Jia Liu, Thomas Otter, Longxiu Tian, Yixin Wang, and Mingzhang Yin.
International Journal of Research in Marketing, 2024.
- Dynamics of Musical Success: A Machine Learning Approach for Multimedia Data Fusion,
Khaled Boughanmi and Asim Ansari.
Journal of Marketing Research, 2021. - Lead article.
- Randomized Algorithms for Lexicographic Inference,
Rajeev Kohli, Khaled Boughanmi, and Vikram Kohli.
Operations Research, 2019.
Working Papers & Papers Under Review
- Modeling Dynamic Consumer Preferences from Few-shot Data: A Meta-Learning Approach,
Mingzhang Yin, Khaled Boughanmi, and Anirban Mukherjee. - Invited revision at Journal of Marketing Research.
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From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction
Khaled Boughanmi, Kamel Jedidi, and Nour Jedidi.
- This research was supported by a Cornell Center for Social Sciences grant.
- Featured in:
“AI Can Read the Room Better Than You Think”
(Columbia Business School Research in Brief, 2025).
- Under review at Journal of Marketing.
- A Bayesian Latent-Factor Framework for Causal Decomposition in High-Dimensional Experiments,
Khaled Boughanmi, Raghuram Iyengar, and Young-Hoon Park.
- Weighting Graphs for Causal Inference,
Khaled Boughanmi, Mingzhang Yin, and Sachin Gupta.
- AIM 2025 Conference Awards, Finalist.
- The Role of Typicality in Shaping Perfume Popularity,
Khaled Boughanmi and Kamel Jedidi
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