The rapid growth of e-commerce has significantly increased the demand for advanced
techniques to address specific tasks in the e-commerce field. In this paper, we present a …

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 …

In recent years, the textile and fashion industries have witnessed an enormous amount of
growth in fast fashion. On e-commerce platforms, where numerous choices are available, an …

With the recent expansion of the applicability of artificial intelligence into the creative realm,
attempts are being made to use AI (artificial intelligence) in the garment development system …

Fashion retail has a large and ever-increasing popularity and relevance, allowing customers
to buy anytime finding the best offers and providing satisfactory experiences in the shops …

The Composed Query-Based Image Retrieval (CQBIR) task aims to precisely obtain the
preserved and modified parts, based on the multi-grained semantics learned from the …

In the recent decades, the online product sentiment analysis is an emerging research topic
that assists the customers to take better decisions on purchasing the products and to …

Data-driven intelligent computational design (DICD) is a research hotspot that emerged
under fast-develo** artificial intelligence. It emphasizes utilizing deep learning algorithms …

Now a day's Artificial intelligence and deep learning techniques recommended critical E-
commerce applications. The human computing, computer aided designs cannot understand …

With the rise of online shop** due to the COVID-19 pandemic, Recommender Systems
have become increasingly important in providing personalized product recommendations …