A review of modern fashion recommender systems

Y Deldjoo, F Nazary, A Ramisa, J Mcauley… - ACM Computing …, 2023 - dl.acm.org
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 …

Influence of Size and Fit on Malaysian Apparel Industry Sustainability: A Scoping Review

Y Wang, N Zakaria - Sustainability, 2024 - mdpi.com
Mass production and global trade have fuelled apparel industry economic growth since the
industrial revolution. Mass production and global trade have also contributed to …

Personalized Fashion Recommendations for Diverse Body Shapes and Local Preferences with Contrastive Multimodal Cross-Attention Network

J Ma, H Sun, D Yang, H Zhang - ACM Transactions on Intelligent …, 2024 - dl.acm.org
Fashion recommendation has become a prominent focus in the realm of online shopping,
with various tasks being explored to enhance the customer experience. Recent research …

Leveraging 4D Golf Apparel Wear Simulation in Online Shopping: A Promising Approach to Minimizing the Carbon Footprint

D Kong, YK Seock, S Marschner, HT Park - Sustainability, 2023 - mdpi.com
As fashion e-commerce grows, the online return rates are running higher than ever before.
Online customers buy the same product in multiple sizes or colors with the intention of …

A new flexible approach to human body sizing

S Ahmadi, JP Curbelo, RJ Spiteri - The Journal of The Textile …, 2023 - Taylor & Francis
A new approach is proposed to develop human body sizing systems that reflect the most
important correlations between anthropometric measurements. The approach is flexible in …

Knowing When You Don't Know in Online Fashion: An Uncertainty-Aware Size Recommendation Framework

H Bahuleyan, J Lasserre, L Lefakis… - Recommender Systems in …, 2022 - Springer
In recent years of online fashion, the availability of large-scale datasets has fueled the
success of data-driven algorithmic products for supporting customers in their journey on …

Fashion recommender systems

S Jaradat, N Dokoohaki, HJC Pampín… - Recommender systems …, 2012 - Springer
The increasing popularity of online fashion and online retail platforms is having a visible
impact on the shopping experience of billions of customers, making millions of products …

Classifying and Predicting The Rating Sentiment of Women's E-commerce Clothing Reviews: A Comparative Study Using SVM, ANN, and BERT Models

I Yabes, N Aryanti, RJ Pradana… - … on Cybernetics and …, 2023 - ieeexplore.ieee.org
Product reviews are crucial for both customers and sellers in determining the quality of
certain products. Alongside the review, the rating is also provided to give insight into the …

[PDF][PDF] Three-Step Volumetric Segmentation for Automated Shoe Fitting

M Leipert, G Herl, J Stebani, S Zabler… - Proc. 12th Conference …, 2022 - researchgate.net
This work presents a three-step segmentation process based on Convolutional Neural
Networks. The task is to identify the different parts of shoes from Computed Tomography …

Investigating Return Behavior in e-commerce: A Data-Driven Study

B Balasubramanian… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Returns pose a significant challenge to the e-commerce industry as they gobble up profits,
jam up operations, and leave a trail of financial woes. The objective of the current study is to …