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...
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| Main Authors: | Aayush Singha Roy, Edoardo D'Amico, Aonghus Lawlor, Neil Hurley |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2023-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Subjects: | |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/133307 |
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