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math.OC2024
Two-sided Assortment Optimization: Adaptivity Gaps and Approximation Algorithms
Omar El Housni, Ulysse Hennebelle, Alfredo Torrico
To address efficiency and design challenges in choice-based matching platforms, we introduce a two-sided assortment optimization framework under general choice preferences. The goa…
math.OC2023
Maximum Load Assortment Optimization: Approximation Algorithms and Adaptivity Gaps
Omar El Housni, Marouane Ibn Brahim, Danny Segev
Motivated by modern-day applications such as Attended Home Delivery and Preference-based Group Scheduling, where decision makers wish to steer a large number of customers toward ch…