Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems

Fashion industry is driven by fashion cycles, in which a fashion item is launched, rises to mainstream appeal and becomes a trend, then diminishes and eventually becomes obsolete. These properties make it critical to incorporate temporal information when adapting a recommendation framework to be emp...

Full description

Saved in:
Bibliographic Details
Main Authors: Aayush Singha Roy, Edoardo D'Amico, Aonghus Lawlor, Neil Hurley
Format: Article
Language:English
Published: LibraryPress@UF 2023-05-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Subjects:
Online Access:https://journals.flvc.org/FLAIRS/article/view/133307
Tags: Add Tag
No Tags, Be the first to tag this record!