鞋履流行色预测数据标签体系构建策略研究  

Research on Construction Strategy of Footwear Fashion Color Prediction Data Labeling System

作　　者：徐成锐 田玉晶[2] XU Chengrui;TIAN Yujing(Shanghai Lida University,Shanghai 201609,China;Donghua University,Shanghai 200051,China)

机构地区：[1]上海立达学院,上海201609 [2]东华大学,上海200051

出　　处：《西部皮革》2024年第2期26-30,共5页West Leather

摘　　要：文章以图片数据为例,梳理了鞋履流行色智能预测的关键指标,包括鞋履的设计元素、品牌分层、流行色生成的影响代表和数据采集路径,结合服装图片元数据标准,建立了鞋履流行色预测数据标签体系和内涵。文章归纳了9项数据标签元素和4项数据描述元素,在数据挖掘生成鞋履流行色的时序中,不仅可以用于爬取数据的描述、管理,还适用于后续数据的选择、清洗等流程,为智能预测提供了依据,并为其他时尚产品品类的相关研究提供了案例参考。This article takes image data as an example to sort out the key indicators for intelligent prediction of footwear fashion colors,including footwear design elements,brand stratification,impact representation of footwear fashion color generation and data collection path,and combines clothing image metadata standards to establish a footwear fashion color prediction data label system and connotation.This article summarizes 9 data label elements and 4 data description elements.In the time sequence of data mining to generate footwear fashion colors,it can not only be used for the description and management of crawled data,but also suitable for subsequent data The selection,cleaning and other processes provide a basis for intelligent prediction and provide case reference for related research on other fashion product categories.

关 键 词：鞋履 流行色预测 数据挖掘 元数据 

分 类 号：TS941.13[轻工技术与工程—服装设计与工程]