Ben Zhang, Kaifei Chen, Yun Cheng, Chieh-Jan Mike Liang, Xiaofan Jiang, and Feng Zhao
We present the design, implementation, and evaluation of Location-log – a mobile phone and cloud based system that brings the benefits of online shopping to the physical world. By utilizing magnetic-based proximity detection technology, Location-log is able to obtain the physical proximity relationships between customers and shops in a reliable and convenient manner. Building on top of this data, Location-log performs data analysis and creates visualizations to provide benefits to both customers and shop owners. Customers carrying smartphones attached with a small dongle can receive targeted advertisements and enjoy many other location-based services while shop owners are able to obtain statistics about customer behavior and react in real-time. We evaluate our system by deploying Location-log in a real food court inside a busy shopping center over multiple days. Results show that Location-log is effective in providing online shopping benefits – customers can receive accurate targeted advertisement based on their visiting histories and current locations while customer behavior statistics and visualizations provide greater insights for the owners.
|Published in||International Workshop on Mobile Sensing (co-located with IPSN)|
|Publisher||ACM – Association for Computing Machinery|
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