Aspect-Based Fashion Recommendation With Attention Mechanism
Description:
Article proposes an aspect-based fashion recommendation model with attention mechanism (AFRAM) to predict customer ratings based on online reviews of fashion products. The experiment results demonstrate that AFRAM is more effective in customer rating predictions, as compared to several state-of-the-art fashion recommenders.
Date:
August 3, 2020
Creator:
Xu, Bugao
Item Type:
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Partner:
UNT College of Merchandising, Hospitality and Tourism