Abstract
In recent years, there has been considerable research interest in social computing and radio frequency identification (RFID) technology. In this paper, we present a Smart Shopping System to provide customers with a smart shopping experience with the help of social vectors and RFID technology. Social vectors provide a systematic and mathematical way to define and quantify social relationships between any entities, while RFID technology allows any object to be easily tracked and identified in an indoor environment. The Smart Shopping System identifies the location of customers using RFID technology and finds similar customers using social vectors with the purpose of providing product recommendations and sending customized marketing messages such as mobile advertisements or e-coupons to customers; smart phones as soon as the customers come into a shop or are near to the shop. Other innovative functionalities include receiving real-time product reviews from similar customers who have just visited the same shops, and exchanging e-coupons or product information using NFC technology.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013 |
| Publisher | Newswood Limited |
| Pages | 239-244 |
| Number of pages | 6 |
| Volume | 2202 |
| ISBN (Print) | 9789881925183 |
| Publication status | Published - 1 Jan 2013 |
| Event | International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013 - Kowloon, Hong Kong Duration: 13 Mar 2013 → 15 Mar 2013 |
Conference
| Conference | International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013 |
|---|---|
| Country/Territory | Hong Kong |
| City | Kowloon |
| Period | 13/03/13 → 15/03/13 |
Keywords
- Product recommendation
- RFID
- Social computing
- Social vectors
ASJC Scopus subject areas
- Computer Science (miscellaneous)