Recommender System for Shopping: A Design for Smart Malls

被引:0
|
作者
Shah, Dhvani [1 ]
Philip, Joel [2 ]
Panpatil, Abhijeet [1 ]
Shaikh, Afrid [1 ]
Mishra, Suraj [1 ]
机构
[1] St John Coll Engn & Management, Palghat, India
[2] Univ Coll Engn, Thana, India
关键词
Raspberry Pi; Smart malls; RFID; Location-based; Android application;
D O I
10.1007/978-981-13-1274-8_24
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The population is growing day by day. World is moving towards advanced technologies which makes life easier and hence there is a need of smart city. Such smart city also needs smart malls which deliver the wonderful experience of shopping. Whereas many e-commerce sites give priority to each and every consumer by sending notifications about upcoming offers and sale, about the launch of new products, and predicting and showing a list of items customers may like to buy. Malls are pretty bad at advertising offers and giving personalized experience to customers and make them feel special. Our system will provide a great experience of personalized shopping which will help them to buy the product. Our system will make use of customer's previous purchase record, and current offers going on in the mall. The system will sort best offers that will be most relevant to his/her shopping style. The system will advertise using LCD's and speakers that will come along with it, which will make it much more interactive with customers using Raspberry Pi which will make it a low-cost system. Also when the customer reaches nearby the mall, he will be shown only those products advertises in which he/she would be interested, this will make him/her feel special because of giving preferences to their choices. The user will also get notified by Android app or email, whenever products or offers of their interest that would be launch in the mall. The system will keep customers connected to the mall even if they are working in an office or resting at home or roaming in the mall.
引用
收藏
页码:311 / 318
页数:8
相关论文
共 50 条
  • [21] Today's shopping malls
    Borden, IV, A.R.
    Diemer, H.K.
    Lighting Design and Application: LD and A, 2001, 31 (05)
  • [22] THOMAS-MALL: A Multiagent System for Shopping and Guidance in Malls
    Rodriguez, S.
    Fernandez, A.
    Julian, V.
    Corchado, J. M.
    Ossowski, S.
    Botti, V.
    BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1, 2009, 5517 : 594 - +
  • [23] The restorative potential of shopping malls
    Rosenbaum, Mark S.
    Losada Otalora, Mauricio
    Contreras Ramirez, German
    JOURNAL OF RETAILING AND CONSUMER SERVICES, 2016, 31 : 157 - 165
  • [24] SHOPPING MALLS IN CENTER CITY
    NAIRN, J
    ARCHITECTURAL RECORD, 1978, 163 (03) : 117 - 117
  • [25] Go Malls,Go Shopping!
    Liu Xinwen
    China'sForeignTrade, 2008, (13) : 16 - 17
  • [26] Consuming postcolonial shopping malls
    Varman, Rohit
    Belk, Russell
    JOURNAL OF MARKETING MANAGEMENT, 2012, 28 (1-2) : 62 - 84
  • [27] Marketplace icons: shopping malls
    Warnaby, Gary
    Medway, Dominic
    CONSUMPTION MARKETS & CULTURE, 2018, 21 (03) : 275 - 282
  • [28] A Novel Recommender System for Healthy Grocery Shopping
    Bodike, Yadagiri
    Heu, David
    Kadari, Bhavishya
    Kiser, Brandon
    Pirouz, Matin
    ADVANCES IN INFORMATION AND COMMUNICATION, VOL 2, 2020, 1130 : 133 - 146
  • [29] A novel mobile recommender system for indoor shopping
    Fang, Bing
    Liao, Shaoyi
    Xu, Kaiquan
    Cheng, Hao
    Zhu, Chen
    Chen, Huaping
    EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (15) : 11992 - 12000
  • [30] What Attracts You to Shopping Malls?: The Relationship Between Perceived Shopping Value and Shopping Orientation on Purchase Intention at Shopping Malls in Suburban Areas
    Park, Seolwoo
    CELEBRATING AMERICA'S PASTIMES: BASEBALL, HOT DOGS, APPLE PIE AND MARKETING?, 2016, : 663 - 669