Disentangling features for fashion recommendation

L De Divitiis, F Becattini, C Baecchi… - ACM Transactions on …, 2023 - dl.acm.org
Online stores have become fundamental for the fashion industry, revolving around
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 …

[HTML][HTML] Attribute disentanglement with gradient reversal for interactive fashion retrieval

G Scaramuzzino, F Becattini, A Del Bimbo - Pattern Recognition Letters, 2023 - Elsevier
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 …

PLM-IPE: A pixel-landmark mutual enhanced framework for implicit preference estimation

F Becattini, X Song, C Baecchi, ST Fang… - Proceedings of the 3rd …, 2021 - dl.acm.org
In this paper, we are interested in understanding how customers perceive fashion
recommendations, in particular when observing a proposed combination of garments to …

Fashion recommendation based on style and social events

F Becattini, L De Divitiis, C Baecchi… - Multimedia Tools and …, 2023 - Springer
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 …

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 …

Multi-order attributes information fusion via hypergraph matching for popular fashion compatibility analysis

K Sun, Z Zhao, M Li, GQ Huang - Expert Systems with Applications, 2025 - Elsevier
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 …

Revolutionizing Fashion Recommendations: A Deep Dive into Deep Learning-based Recommender Systems

I Kachbal, S El Abdellaoui, K Arhid - Proceedings of the 7th International …, 2024 - dl.acm.org
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 …

I-mall an effective framework for personalized visits. improving the customer experience in stores

F Becattini, G Becchi, A Ferracani, AD Bimbo… - Proceedings of the 1st …, 2022 - dl.acm.org
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 …

Memory networks

F Becattini, T Uricchio - Proceedings of the 30th ACM International …, 2022 - dl.acm.org
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 …