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 …

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

Purpose The big challenge in apparel recommendation system research is not the
exploration of machine learning technologies in fashion, but to really understand clothes …

ABSTRACT A key obstacle in personalised fashion recommendations is the challenge of
capturing user physical attributes at a large scale, which limits exclusively computational …

随着人们个性化需求的不断增加ꎬ 服装个性化定制已成为时尚发展趋势之一ꎮ
信息技术在推动服装个性化定制发展中扮演着重要的角色ꎬ 可以收集和处理用户的个性化信息 …

Recommendation systems are strategies for predicting an individual's evaluation of an item
or social institution. Books, movies, restaurants, and other products on which people have …

This book gathers outstanding research papers presented at the 5th International Joint
Conference on Advances in Computational Intelligence (IJCACI 2021), held online during …

The online fashion market is growing all the time, and a method that can recognize clothes
can help companies in the clothing sales industry understand the profile of potential buyers …

Text data plays a significant role in understanding and analyzing trends in consumer,
business, and social sectors. For text analysis, there must be a corpus that reflects specific …

Consumers' fashion preferences are influenced by a range of variables including:
demographics, location, personal preferences, social influences, age, gender, season, and …