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 …

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 …

Interactive Garment Recommendation with User in the Loop

F Becattini, X Chen, A Puccia, H Wen, X Song… - ACM Transactions on …, 2024 - dl.acm.org
Recommending fashion items often leverages rich user profiles and makes targeted
suggestions based on past history and previous purchases. In this paper, we work under the …

Fashion Forecasting: Insights into the Latest Advances in Fashion Recommendation Systems

ST Yalla, AL Ragi, M Munaga… - … Conference on Inventive …, 2024 - ieeexplore.ieee.org
Fashion is an ever-evolving industry and plays a significant role in our routine lives.
Nowadays, everyone wants to look fashionable in their outfits. The way one dress is not only …

Research progress of clothing recommendation based on deep learning image processing.

LI Yuan, YU Miao - Wool Textile Journal, 2023 - search.ebscohost.com
In order to further explore ways to improve the accuracy of the clothing recommendation
system and improve users' shop** experience, relevant literature on the current clothing …

Leveraging Fashion Exhibition Events and Social Media Engagement for the Promotion of Nigerian fabric Brands

OS Akinrujomu, MT Adedara - … Research (E. ISSN: 2805-413X)(P …, 2024 - ijojournals.com
This study examines the promotion of Nigerian fabric brands through fashion exhibition
events and social media engagement. Utilizing a mixed-methods research design, the study …