Location-log: Bringing Online Shopping Benefits to the Physical World with Magnetic-based Proximity Detection

Ben Zhang, Kaifei Chen, Yun Cheng, Chieh-Jan Mike Liang, Xiaofan Jiang, and Feng Zhao

Abstract

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.

Details

Publication typeInproceedings
Published inInternational Workshop on Mobile Sensing
PublisherACM – Association for Computing Machinery
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