Neo-Fashion: A Data-Driven Fashion Trend Forecasting System Using Catwalk Analysis

IF 2.4 4区管理学 Q3 BUSINESS

Clothing and Textiles Research Journal Pub Date : 2021-03-29 DOI:10.1177/0887302X211004299

Li Zhao, Muzhen Li, P. Sun

引用次数: 9

Abstract

Trend forecasting is a challenging and important aspect of the fashion industry. The authors design a novel fashion trend analysis system called “Neo-Fashion,” which provides recommendations to fas...

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新时尚:基于t台分析的数据驱动的时尚趋势预测系统

趋势预测是时尚行业一个具有挑战性和重要的方面。作者设计了一种新颖的时尚趋势分析系统“Neo-Fashion”，该系统可以为时装设计师提供建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clothing and Textiles Research Journal Multiple-

CiteScore

5.30

自引率

5.30%

发文量

期刊介绍： Published quarterly, Clothing & Textiles Research Journal strives to strengthen the research base in clothing and textiles, facilitate scholarly interchange, demonstrate the interdisciplinary nature of the field, and inspire further research. CTRJ publishes articles in the following areas: •Textiles, fiber, and polymer science •Aesthetics and design •Consumer Theories and Behavior •Social and psychological aspects of dress or educational issues •Historic and cultural aspects of dress •International/retailing/merchandising management and industry analysis