Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learning

Auriau, V, Aouad, A, Désir, A and Malherbe, E (2024) Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learning. Journal of Open Source Software, 9 (101). p. 6899. ISSN 2475-9066

Abstract

Discrete choice models aim at predicting choice decisions made by individuals from a menu of alternatives, called an assortment. Well-known use cases include predicting a commuter’s choice of transportation mode or a customer’s purchases. Choice models are able to handle assortment variations, when some alternatives become unavailable or when their features change in different contexts. This adaptability to different scenarios allows these models to be used as inputs for optimization problems, including assortment planning or pricing.