Khaled Boughanmi
Assistant Professor of Marketing
Cornell University
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Published & Forthcoming Journal Articles
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Modeling Categorized Consumer Collections with Interlocked Hypergraph Neural Networks,
Khaled Boughanmi, Asim Ansari, and Yang Li.
Journal of Marketing Research, 2025.
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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.
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Dynamics of Musical Success: A Machine Learning Approach for Multimedia Data Fusion,
Khaled Boughanmi and Asim Ansari.
Journal of Marketing Research, 2021.
- Lead article.
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Randomized Algorithms for Lexicographic Inference,
Rajeev Kohli, Khaled Boughanmi, and Vikram Kohli.
Operations Research, 2019.
Working Papers
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Modeling Dynamic Consumer Preferences from Few-shot Data: A Meta-Learning Approach,
Mingzhang Yin, Khaled Boughanmi, and Anirban Mukherjee.
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A Bayesian Latent-Factor Framework for Causal Decomposition in High-Dimensional Experiments,
Khaled Boughanmi, Raghuram Iyengar, and Young-Hoon Park.
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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
Columbia Business School Research in Brief, 2025.
Work in Progress
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Weighting Graphs for Causal Inference,
Khaled Boughanmi, Mingzhang Yin, and Sachin Gupta.
- AIM 2025 Conference Awards, Finalist.
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The Role of Typicality in Shaping Perfume Popularity,
Khaled Boughanmi and Kamel Jedidi.
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The Impact of Experiential Store on Customer Purchases,
Khaled Boughanmi, Raghuram Iyengar, and Young-Hoon Park.
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