基于RFID的服装零售店顾客服务系统设计
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摘要
本文综合运用数据库管理、自动推荐等技术,从品牌服装零售店的实际需求出发,设计了基于RFID (Radio Frequency Identification)的服装零售店顾客服务系统,进行服装零售店管理,实现顾客服务提升的目的。
该顾客服务系统的设计分为硬件和应用软件两部分。其中,硬件选取QR4401超高频固定式读写器及读写天线,选用LED显示器作为多媒体显示屏,电子标签则采用无源超高频电子标签。软件方面,采用SQL Server管理服装零售店系统的数据,并在Visual Studio平台上使用C#语言开发应用软件,实现标签维护、快速结算、智能试衣室、VIP顾客身份识别与自动推荐功能。
文章首先从零售店的实际需求和功能出发,进行系统的硬件选型和选购,设计了底层数据库系统、系统的软件架构。然后,模拟系统维护人员工作场景,实现标签维护功能；模拟顾客购物结算场景,实现快速结算功能；模拟顾客试衣场景,实现智能试衣室功能；模拟VIP顾客光临场景,实现顾客身份识别与自动迎招。最后,提出一个复合推荐器,在VIP顾客光临时,触发生成个性化的推荐单,提供给顾客,供其在购物时参考。实验结果表明,本文所提出的方法是有效的,推荐单的结果与顾客的喜好基本是吻合的,贴切所有顾客的喜好程度可以达到73%,贴切单个顾客的喜好程度可以达到90%左右。
本文所设计的基于RFID的服装零售店顾客服务系统来源于数字化纺织服装技术教育部工程中心项目,在服装零售店顾客服务系统上做了如下创新：
在VIP会员卡里内嵌RFID电子标签,用于服装零售店的顾客身份识别与自动迎招。
利用识别到的VIP顾客身份信息,创新性地在服装零售店中针对VIP顾客,应用了个性化的自动推荐功能。
提出了一个复合推荐器,通过基于货品的协同过滤算法,获取与顾客历史购买相似度高的货品,加入初始推荐单；通过基于用户的协同过滤算法,获取喜好相近的其他会员顾客,提取其购买记录并加入初始推荐单；通过基于内容的过滤算法,获取初始推荐单中与顾客喜好最相似的货品,生成最终推荐结果,提供给顾客供其在购物时进行参考。
By using database management technology and automatic recommendation technology, a Customer Service System based on Radio Frequency Identification Technology in Apparel Retailing Stores is designed according to actual demand of brand clothing stores, for the purpose of managing apparel retailing stores and improving customer service quality.
The system hardware is made up of QR4401 UHF Fixed Reader, antenna, LED, computer and UHF passive tags. SQL Server is used for the data management of retailing clothing stores. Application software is developed in Visual Studio development platform by using C# language. Applications achieved are:tag maintenance, quick settlement, intelligent fitting rooms, VIP customer identification and automatic recommendation.
First, according to the actual demand of clothing retail stores and its capability, the types of hardware devices are selected and purchased, database system and software architecture are designed. This paper then simulate system maintenance, and realize tag maintenance function; simulate shopping checkout, and realize quick settlement; simulate the scene of customer trying on clothes, and realize intelligent fitting room function; simulate loyalty customers'arrival, and realize customer identification and automatic greetings. Finally, a hybrid recommender is proposed in this paper, it is triggered to generate a personalized buying recommendation list when a loyalty customer who holds a RFID-circuit-embedded VIP card arrives at the store. The experimental results show that the selected recommender items are in consistence with the objective customers'interest, the relevance between the select recommender items and objective customers' consumer preference can fit very well.
The Customer Service System Project based on Radio Frequency Identification Technology in Apparel Retailing Stores is funded by Digital Textile and Apparel Technology Engineering Center, of the Minister of Education. Creative parts in the designed system are as follows:
RFID-circuit embedded VIP cards are engaged to identify VIP customers for their arrivals, hence automatic greeting could be offered to these customers.
Automatic personalized recommendation is creatively applied for VIP customers, by using the indentified identity information of VIP customers.
A hybrid recommender is proposed, which could generate personalized recommender list to the VIP customers. Particularly, using the item-based filter algorithm, the products that have high similarity with those VIP members have bought recently are selected into the initial recommender list; using the user-based filter algorithm, the products that other VIP members who have the same tastes with the objective customer have chosen recently are added into the initial recommender. Finally, contented-based recommender algorithm is engaged to generate the final recommender list.
该顾客服务系统的设计分为硬件和应用软件两部分。其中,硬件选取QR4401超高频固定式读写器及读写天线,选用LED显示器作为多媒体显示屏,电子标签则采用无源超高频电子标签。软件方面,采用SQL Server管理服装零售店系统的数据,并在Visual Studio平台上使用C#语言开发应用软件,实现标签维护、快速结算、智能试衣室、VIP顾客身份识别与自动推荐功能。
文章首先从零售店的实际需求和功能出发,进行系统的硬件选型和选购,设计了底层数据库系统、系统的软件架构。然后,模拟系统维护人员工作场景,实现标签维护功能；模拟顾客购物结算场景,实现快速结算功能；模拟顾客试衣场景,实现智能试衣室功能；模拟VIP顾客光临场景,实现顾客身份识别与自动迎招。最后,提出一个复合推荐器,在VIP顾客光临时,触发生成个性化的推荐单,提供给顾客,供其在购物时参考。实验结果表明,本文所提出的方法是有效的,推荐单的结果与顾客的喜好基本是吻合的,贴切所有顾客的喜好程度可以达到73%,贴切单个顾客的喜好程度可以达到90%左右。
本文所设计的基于RFID的服装零售店顾客服务系统来源于数字化纺织服装技术教育部工程中心项目,在服装零售店顾客服务系统上做了如下创新：
在VIP会员卡里内嵌RFID电子标签,用于服装零售店的顾客身份识别与自动迎招。
利用识别到的VIP顾客身份信息,创新性地在服装零售店中针对VIP顾客,应用了个性化的自动推荐功能。
提出了一个复合推荐器,通过基于货品的协同过滤算法,获取与顾客历史购买相似度高的货品,加入初始推荐单；通过基于用户的协同过滤算法,获取喜好相近的其他会员顾客,提取其购买记录并加入初始推荐单；通过基于内容的过滤算法,获取初始推荐单中与顾客喜好最相似的货品,生成最终推荐结果,提供给顾客供其在购物时进行参考。
By using database management technology and automatic recommendation technology, a Customer Service System based on Radio Frequency Identification Technology in Apparel Retailing Stores is designed according to actual demand of brand clothing stores, for the purpose of managing apparel retailing stores and improving customer service quality.
The system hardware is made up of QR4401 UHF Fixed Reader, antenna, LED, computer and UHF passive tags. SQL Server is used for the data management of retailing clothing stores. Application software is developed in Visual Studio development platform by using C# language. Applications achieved are:tag maintenance, quick settlement, intelligent fitting rooms, VIP customer identification and automatic recommendation.
First, according to the actual demand of clothing retail stores and its capability, the types of hardware devices are selected and purchased, database system and software architecture are designed. This paper then simulate system maintenance, and realize tag maintenance function; simulate shopping checkout, and realize quick settlement; simulate the scene of customer trying on clothes, and realize intelligent fitting room function; simulate loyalty customers'arrival, and realize customer identification and automatic greetings. Finally, a hybrid recommender is proposed in this paper, it is triggered to generate a personalized buying recommendation list when a loyalty customer who holds a RFID-circuit-embedded VIP card arrives at the store. The experimental results show that the selected recommender items are in consistence with the objective customers'interest, the relevance between the select recommender items and objective customers' consumer preference can fit very well.
The Customer Service System Project based on Radio Frequency Identification Technology in Apparel Retailing Stores is funded by Digital Textile and Apparel Technology Engineering Center, of the Minister of Education. Creative parts in the designed system are as follows:
RFID-circuit embedded VIP cards are engaged to identify VIP customers for their arrivals, hence automatic greeting could be offered to these customers.
Automatic personalized recommendation is creatively applied for VIP customers, by using the indentified identity information of VIP customers.
A hybrid recommender is proposed, which could generate personalized recommender list to the VIP customers. Particularly, using the item-based filter algorithm, the products that have high similarity with those VIP members have bought recently are selected into the initial recommender list; using the user-based filter algorithm, the products that other VIP members who have the same tastes with the objective customer have chosen recently are added into the initial recommender. Finally, contented-based recommender algorithm is engaged to generate the final recommender list.
引文
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[24]肖广顺,基于射频识别技术的导游用游客管理器的研制.哈尔滨工业大学硕士学位论文,2009.6,pp.14-15
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[2]Amin Rida, Li Yang, Manos Tentzeris, "RFID-Enabled Sensor Design and Applications",Artech House,2010
[3]莹石,服装企业应用RFID的新概念.中国制衣,2006,
[4]Dennis E.Brown, "RFID Implementation", McGraw-Hill, New York,2007,pp.33-35
[5]Daniel Giusto, Antonio Lera,Giacomo Morabito, "The Internet of Things:20th Tyrrhenian Workshop on Digital Communications",2010
[6]朗为民,大话物联网.人民邮电出版社,2011.1
[7]艾利丹尼森的新视频展示了单品无线射频识别(RFID)如何帮助American Apparel(R)获得99%的库存准确率和14%的销售增长.电脑与电信,2009.7,pp.13
[8]苏建东,国外零售业信息化技术发展动向(下)——移动商务、RFID和商业智能发展动向.信息与电脑,2009.5,pp.34-41
[9]UPM Raflatac,RFID技术在服装行业的应用.物流技术与应用,2009.5,pp.86-87
[10]刘相君,RFID:打造服装业的“黄金时代”.经济与管理.工业经济,2008,pp.38-39
[11]中饰,日本丸井RFID标签百货业应用报告.智能识别,2006.4,pp.51-52
[12]佚名,日本Flandre高级服装店RFID应用案例中饰.智能识别,2007.2,pp.56-57
[13]RFID最新应用5则.数字通信,2007.10,pp.20
[14]IDTechEx, "Benetton apparel, Italy", RFID Knowledgebase, available at:http://rfid. idtechex.com/knowledgebase, accessed at 2010.10
[15]金卡工程编辑部,2007年影响全国RFID行业的十大事件回顾.金卡工程,2008.1,pp26-29
[16]Collins, J., "Marks and Spencer to extend trial to 53 stores", RFID Journal, available at: www.rfidjournal.com/article/articleprint/1412/-1/1, accessed at 2010.10
[17]台湾RFID应用推动办公室网站,瑞典Taracci男装零售商首次采用EPC/RFID系统.RFID中国网,http://application.rfidchina.org/readinfos-37826-135.html, accessedat 2009.09
[18]朗为民,射频识别(RFID)技术原理与应用.北京：机械工业出版社,2006.6
[19]李听,RFID技术助力服装零售.纺织服装周刊,2008,pp.41
[20]童继龙, SAP系统、RFID技术、电子商务在报喜鸟的应用.http://blog.csdn.net/Drate/archive/2008/08/20/2803113.aspx, accessed at 2009.10
[21]王文婉,“衣讯”公司召开RFID项目启动会议.RFID世界网,http://application.rfidchina.org/readinfos-36773-135.html, accessed at 2009.10
[22]卢万铮,天线理论与技术.西安电子科技大学出版社,2005,pp.15-25
[23]Paul Sanghera, Frank Thornton, "How to Cheat at Deploying and Securing RFID", Syngress,2007, pp.57-58
[24]肖广顺,基于射频识别技术的导游用游客管理器的研制.哈尔滨工业大学硕士学位论文,2009.6,pp.14-15
[25]魏文元等,天线原理.国防工业出版社,1985
[26]C#,维基百科,http://zh.wikipedia.org/zh/C%E2%99%AF, accessed at 2010.11
[27]Karli Watson, Christian Nagel著,齐立波,黄静,C#入门经典.北京：清华大学出版社,2008.12
[28]Microsoft Visual Studio,维基百科,http://zh.wikipedia.org/zh/Microsoft_Visual_Studio, accessed at 2010.11
[29]刘建国,周涛,汪秉宏,个性化推荐系统的研究进展.自然科学进展,2009.1,pp.1
[30]Resnick P, Iakovou N, Sushak M, et at, "GroupLens:An open architecture for collaborative filtering of netnews". Proc 1994 Computer Supported Cooperative Work Conf, Chapel Hill,1994, pp.175-186
[31]Hill W, Stead L, Rosenstein M, et al, "Recommending and evaluting choices in a virtual community of use". Proc Conf Human Factors in Computing Systems, Denver,1995, pp.194-201
[32]G.Salton, A.Wong and C.S.A.Yang, "Vector space model for automatic indexing", Communications of the ACM,1975, Vol.18, No.11, pp.613-620
[33]Kazienko P., Adamski M., "AdROSA-Adaptive personalization of web advertising". Information Sciences,2007,177(11), pp.2269-2295
[34]D.Maltz and K.Ehrlich, "Pointing the way:active collaborative filtering", Proceedings of the 1995 ACM Conference.on Human Factors in Computing Systems, New York,1995, pp.202-209
[35]Sarwar B., Karypis G, Konstan J., et al, "Item-based Collaborative filtering recommendation algorithms". Proc 10th Int'l WWW Conf, Hongkong,2001, pp.1-5
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