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Disentangling features for fashion recommendation
Online stores have become fundamental for the fashion industry, revolving around
recommendation systems to suggest appropriate items to customers. Such …
recommendation systems to suggest appropriate items to customers. Such …
Transformer-based graph neural networks for outfit generation
F Becattini, FM Teotini… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Suggesting complementary clothing items to compose an outfit is a process of emerging
interest, yet it involves a fine understanding of fashion trends and visual aesthetics. Previous …
interest, yet it involves a fine understanding of fashion trends and visual aesthetics. Previous …
[HTML][HTML] Attribute disentanglement with gradient reversal for interactive fashion retrieval
Interactive fashion search is gaining more and more interest thanks to the rapid diffusion of
online retailers. It allows users to browse fashion items and perform attribute manipulations …
online retailers. It allows users to browse fashion items and perform attribute manipulations …
PLM-IPE: A pixel-landmark mutual enhanced framework for implicit preference estimation
In this paper, we are interested in understanding how customers perceive fashion
recommendations, in particular when observing a proposed combination of garments to …
recommendations, in particular when observing a proposed combination of garments to …
Fashion recommendation based on style and social events
Fashion recommendation is often declined as the task of finding complementary items given
a query garment or retrieving outfits that are suitable for a given user. In this work we …
a query garment or retrieving outfits that are suitable for a given user. In this work we …
Digital image color analysis method to extract fashion color semantics from artworks
M Yum - Multimedia Tools and Applications, 2023 - Springer
Color in artworks is an inspirational source for fashion designers. Product color is a
fundamental design element to stimulate customers' emotional response as designers …
fundamental design element to stimulate customers' emotional response as designers …
Multi-order attributes information fusion via hypergraph matching for popular fashion compatibility analysis
Popular fashion compatibility modeling aims to quantitatively assess the compatibility of a
set of wearable items for everyday pairings and clothing purchases to assist human decision …
set of wearable items for everyday pairings and clothing purchases to assist human decision …
Revolutionizing Fashion Recommendations: A Deep Dive into Deep Learning-based Recommender Systems
Fashion takes center stage in our exploration of cutting-edge recommender systems. This
paper presents an innovative approach to recommender systems for fashion that divides …
paper presents an innovative approach to recommender systems for fashion that divides …
I-mall an effective framework for personalized visits. improving the customer experience in stores
In this paper we present I-MALL, an ICT hardware and software infrastructure that enables
the management of services related to places such as shop** malls, showrooms, and …
the management of services related to places such as shop** malls, showrooms, and …
Memory networks
Memory Networks are models equipped with a storage component where information can
generally be written and successively retrieved for any purpose. Simple forms of memory …
generally be written and successively retrieved for any purpose. Simple forms of memory …