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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