The textile and apparel industries have grown tremendously over the past few years.
Customers no longer have to visit many stores, stand in long queues, or try on garments in …

Fashion recommendation is a key research field in computational fashion research and has
attracted considerable interest in the computer vision, multimedia, and information retrieval …

Outfit Recommendation (OR) in the fashion domain has evolved through two stages: Pre-
defined Outfit Recommendation and Personalized Outfit Composition. However, both stages …

With the rapid development of the Internet and new media, the enormous data from social
media and other public platforms have attracted increasing attention to user behavior …

Explaining stock predictions is generally a difficult task for traditional non-generative deep
learning models, where explanations are limited to visualizing the attention weights on …

Sequential fashion recommendation is of great significance in online fashion shop**,
which accounts for an increasing portion of either fashion retailing or online e-commerce …

Purpose The purpose of this research is to develop a comprehensive model to better
understand competitive dynamics between mobile payment providers in a multi-sided …

Fashion analysis refers to the process of examining and evaluating trends, styles, and
elements within the fashion industry to understand and interpret its current state, generating …

The fashion field is continually expanding and evolving, and social media play a significant
role in sha** current fashion trends through the influence of online personalities, such as …

Abstract We present Visuelle 2.0, the first dataset useful for facing diverse prediction
problems that a fast-fashion company has to manage routinely. Furthermore, we …