[1]赵莉莉,王赛赛,陈敏之*.基于阶梯层次结构模型的合体女衬衫号型推荐方法[J].服装学报,2021,6(05):402-407.
　ZHAO Lili,WANG Saisai,CHEN Minzhi*.Clothing Size Recommendation Method Based on Ladder Hierarchy Model[J].Journal of Clothing Research,2021,6(05):402-407.
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基于阶梯层次结构模型的合体女衬衫号型推荐方法()
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《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第6卷
期数:
2021年05期
页码:
402-407
栏目:
服装信息与工程
出版日期:
2021-10-30

文章信息/Info

Title:
Clothing Size Recommendation Method Based on Ladder Hierarchy Model
作者:
赵莉莉;  王赛赛;  陈敏之*
浙江理工大学 服装学院,浙江 杭州 310018
Author(s):
ZHAO Lili;  WANG Saisai;  CHEN Minzhi*
School of Fashion Design and Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China
分类号:
TS 941.7
文献标志码:
A
摘要:
为了解决网上购买服装时尺码不合适的问题,采用阶梯层次分析法为消费者推荐最优的服装号型。基于衣长、肩宽、领围、袖长等9项服装数据和背长、肩宽、颈围、臂长等9项人体体型数据,建立号型推荐的阶梯层次结构模型。该模型能够分析各因素对合体女衬衫尺码选择的影响,快速实现合体女衬衫号型推荐。模型实例验证结果表明,实验样本对推荐结果整体满意,该模型可有效地为消费者购买合体女衬衫提供服务,为智能化服装号型推荐奠定基础。
Abstract:
To solve the problem of inappropriate clothing sizes purchased online, the analytic hierarchy process is used to recommend the best clothing sizes for consumers. This method is based on nine items of clothing data, such as length, shoulder width, collar circumference, and sleeve length, and nine human body shape data such as back length, total shoulder width, neck circumference, and arm length, to establish a hierarchical structure model of size recommendation. The model can analyze the importance of various factors that affect the size of a fit blouse, and quickly realize the size recommendation of a fit blouse. The effectiveness of the recommendation method is verified by examples. And the results show that all experimental samples show overall satisfaction with the recommendation results, which can effectively improve the intelligent service for consumers to purchase fit blouses, and lay the foundation for intelligent clothing size recommendation.

参考文献/References:

[1] SEO J,NAMW,AMBA G W. Fitissues in ready-to-wear clothing for African-American female college students based on the body shapes[J].International Journal of Fashion Design,Technology and Education,2018,11(2):160-168.
[2] 周捷,李健.灰色关联层次分析在服装号型推荐中的应用[J].毛纺科技,2019,47(6):1-5.
ZHOU Jie,LI Jian. Application of grey relational hiera-rchy analysis in clothing size recommendation[J].Wool Spinning Technology, 2019, 47(6): 1-5.(in Chinese)
[3] 汝吉东,王颖.基于SVM女性服装型号推荐方法研究[J].丝绸,2015,52(6):27-31.
RU Jidong,WANG Ying. Research on the recommendation method of women’s clothing models based on SVM[J].Journal of Silk,2015,52(6):27-31.(in Chinese)
[4] 潘璐. 基于层次分析法的服装推荐专家系统[D].上海:东华大学,2016.
[5] 郑爱花,罗戎蕾,晁霞. 层次分析法在网购服装选择号型中的应用[J].浙江理工大学学报,2009,26(5):687- 690.
ZHENG Aihua,LUO Ronglei,CHAO Xia. Application of analytic hierarchy process in online clothing selection[J].Journal of Zhejiang Sci-Tech University,2009,26(5):687- 690.(in Chinese)
[6] 郑爱花. 基于BP神经网络的服装号型推荐方法研究[D].杭州:浙江理工大学,2010.
[7] ZHANG X S,JIA J,GAO K,et al. Trip outfits advisor:location oriented clothing recommendation[J].IEEE Transactions on Multimedia,2017,19(11):2533- 2544.
[8] 胡丽婷,晏丽霞.基于层次分析法的电商购物平台的综合评价[J].现代营销,2019(11):244-245.
HU Liting,YAN Lixia. Comprehensive evaluation of e-commerce shopping plat form based on analytic hierarchy process[J].Modern Marketing,2019(11):244-245.(in Chinese)
[9] 赵莹,周捷.服装网红店铺中消费者需求分析[J].天津纺织科技,2019(4):5-7.
ZHAO Ying,ZHOU Jie. Analysis of consumer demand in clothing online celebrity shops[J].Tianjin Textile Technology,2019(4):5-7.(in Chinese)
[10] 王若明,魏明. 基于层次分析法的服装产业智能制造影响因素[J].服装学报,2019,4(1):28-32,72.
WANG Ruoming,WEI Ming. Influencing factors of intelligent manufacturing in apparel industry based on analytic hierarchy process[J].Journal of Clothing Research,2019,4(1):28-32,72.(in Chinese)
[11] 洪志国,李炎,范植华,等.层次分析法中高阶平均随机一致性指标(RI)的计算[J].计算机工程与应用,2002,38(12):45- 47,150.
HONG Zhiguo,LI Yan,FAN Zhihua,et al. The calculation of high-order average random consistency index(RI)in the analytic hierarchy process[J].Computer Engin-eering and Applications,2002,38(12):45- 47,150.(in Chinese)
[12] 王建萍,李月丽,喻芳. 基于择近原则的服装号型数字化归档方法[J].纺织学报,2007,28(11):106-110.
WANG Jianping,LI Yueli,YU Fang. Digital filing method of clothing size based on the principle of closeness[J].Journal of Textile Research,2007,28(11):106-110.(in Chinese)
(责任编辑:卢 杰)

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更新日期/Last Update: 2021-10-30