Knowledge enhanced neural fashion trend forecasting

• Main Authors: MA, Yunshan, DING, Yujuan, YANG, Xun, LIAO, Lizi, WONG, Wai Keung, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Fashion analysis; Fashion trend forecasting; Time series forecasting; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7674; https://ink.library.smu.edu.sg/context/sis_research/article/8677/viewcontent/Knowledge_enhanced_neural_fashion_trend_forecasting.pdf
• Institution: Singapore Management University

Fashion trend forecasting is a crucial task for both academia andindustry. Although some efforts have been devoted to tackling this challenging task, they only studied limited fashion elements with highly seasonal or simple patterns, which could hardly reveal thereal fashion trends. Towards insightf...