计算机科学 ›› 2015, Vol. 42 ›› Issue (12): 32-35.

• 第十三届全国软件与应用学术会议 • 上一篇    下一篇

一种面向浏览式购物行为模式的LBS购书移动应用

何远舵,陈之昀,王亚沙   

  1. 北京大学软件与微电子学院 北京100871,北京大学物理学院 北京100871,北京大学北京大学软件工程国家工程研究中心 北京100871
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家重点基础研究发展计划(973)(2011CB302604),国家自然科学基金(61121063,U1201252),国家高技术发展计划(863)(2013AA01A605)资助

Browse-shopping-behavior-pattern-oriented Indoor LBS Mobile Application for Book Shopping

HE Yuan-duo, CHEN Zhi-yun and WANG Ya-sha   

  • Online:2018-11-14 Published:2018-11-14

摘要: 为了提升用户体验,目前涌现了一批辅助购物的移动应用。这些应用为用户补充商品的信息,适用于目标明确的购物行为模式。然而,在现实生活中,还普遍存在没有明确购物目标、将购物作为休闲方式的浏览式购物行为模式。现有应用对此模式支持不足。为此,以书店为应用场景,开发了一种基于室内定位技术的浏览式购物辅助移动应用。此应用后端从书店信息系统和互联网中收集包括书籍摆放位置的各类信息,然后利用关键词提取技术,建立基于位置的关键词库;前端则利用室内定位技术,根据购物者位置向其展示附近书籍概览信息,辅助购物者对附近商品快速认知。案例评估表明,此应用可以提升浏览式购物顾客的购物体验。

关键词: 浏览购物模式,LBS应用,关键词提取,信息展示

Abstract: To enhance shopping experience,a lot of shopping assistant mobile applications are emerging.They can provide supplementary information of a specific commodity,which is helpful for shoppers with clear shopping goals.However,under the browse shopping pattern,where shoppers treat shopping as a kind of relaxation,shoppers don’t have clear shopping goals.Existing applications help little under this shopping pattern.This paper implemented an indoor LBS application orienting browse shopping pattern for book shopping.Its back-end collects all kinds of information of books from both the bookstore information management system and the Internet.Then keyphrase extraction method is used to build a keyphrase database according to the position.The front-end applies indoor positioning technology to display the overview information,which helps shoppers quickly understand the commodities.The evaluation indicates that the application can enhance shoppers’ shopping experience.

Key words: Browse shopping pattern,LBS application,Keyphrase extraction,Information display

[1] Resatsch F,Karpischek S,Sandner U,et al.Mobile sales assistant:NFC for retailers[C]∥Proceedings of the 9th International Conference on Human Computer Interaction with Mobile Devices and Services.ACM,2007:313-316
[2] Resatsch F,Sandner U,Leimeister J M,et al.Do Point of Sale RFID-Based Information Services Make a Difference? Analyzing Consumer Perceptions for Designing Smart Product Information Services in Retail Business[J].Electronic Markets,2008,18(3):216-231
[3] Von Reischach F,Guinard D,Michahelles F,et al.A mobileproduct recommendation system interacting with tagged pro-ducts[C]∥IEEE International Conference on Pervasive Computing and Communications,2009(PerCom 2009).IEEE,2009:1-6
[4] Black D,Clemmensen N J,Skov M B.Supporting the supermarket shopping experience through a context-aware shopping trolley[C]∥Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group:Design:Open.ACM,2009:33-40
[5] Kallehave O,Skov M B,Tiainen N.Persuasion in situ:shopping for healthy food in supermarkets[C]∥Proceedings of PINC 2011 Workshop at CHI.2011
[6] Shekar S,Nair P,Helal A S.iGrocer:a ubiquitous and pervasive smart grocery shopping system[C]∥Proceedings of the 2003 ACM Symposium on Applied Computing.ACM,2003:645-652
[7] Muoz-Organero M,Muoz-Merino P J,Delgado Kloos C.Using bluetooth to implement a pervasive indoor positioning system with minimal requirements at the application level[J].Mobile Information Systems,2012,8(1):73-82
[8] Witten I H,Paynter G W,Frank E,et al.KEA:Practical auto-matic keyphrase extraction[C]∥Proceedings of the fourth ACM conference on Digital libraries.ACM,1999:254-255

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!