Problem definition. We study choice modeling and assortment optimization under context effects, where an item’s perceived attractiveness depends on the other items displayed alongside it. Methodology. We study the Contextual Multinomial Logit (CMNL) model, in which each item’s utility adjusts linearly with the presence...
Reza Yousefi Maragheh, Shuai Li, Tian-Cheng Zhao et al.· Manufacturing & Service...· 0 citations
Fashion retrieval often requires satisfying multiple attributes at once, such as category, color, pattern, and demographic. Monolithic embeddings mix these signals into a single vector, making attribute-specific control difficult at retrieval time. Many existing semantic-ID methods provide discrete item codes, but thes...
Najmeh Forouzandehmehr, Topojoy Biswas, Evren Korpeoglu et al.· 0 citations
Findings suggest a practical role for LLMs as validated explanation components rather than primary rankers, with rationale quality evaluated separately from ranking accuracy.
Yanan Cao, A. Dombe, Murali Mohana Krishna Dandu et al.· 0 citations
This study evaluates survival models that predict time-to-repurchase directly, and adopts Exponential AFT for probability-consuming surfaces and Log-Normal for pure ranking, exposing a principled calibration-ranking trade-off within a single AFT family.
Akshay Kekuda, Shreeranjani Srirangamsridharan, Ishan Bhatt et al.· 1 citation
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