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Aspect-Based Fashion Recommendation With Attention Mechanism
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
System:
The UNT Digital Library
Faith in Fat: A Multisite Examination of University Students’ Perceptions of Fat in the Diet
Article examining college students’ perceptions of health among foods with no fat relative to foods with different types of fats (unsaturated and saturated). Findings suggest that college students lack knowledge regarding the vital role played by the type and amount of fats within a healthy diet.
Date:
July 9, 2020
Creator:
Landry, Matthew J.; Olvany, Jasmine M.; Mueller, Megan P.; Chen, Tiffany; Ikeda, Dana; Sinclair, Danielle et al.
System:
The UNT Digital Library