ShopMiner: Mining customer shopping behavior in physical clothing stores with passive RFIDs
Shopping behavior data are of great importance to understand the effectiveness of marketing and merchandising efforts. Online clothing stores are capable capturing customer shopping behavior by analyzing the click stream and customer shopping carts. Retailers with physical clothing stores, however,...
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sg-smu-ink.sis_research-57522020-01-16T10:36:40Z ShopMiner: Mining customer shopping behavior in physical clothing stores with passive RFIDs SHANGGUAN, Longfei ZHOU, Zimu ZHENG, Xiaolong YANG, Lei LIU, Yunhao HAN, Jinsong Shopping behavior data are of great importance to understand the effectiveness of marketing and merchandising efforts. Online clothing stores are capable capturing customer shopping behavior by analyzing the click stream and customer shopping carts. Retailers with physical clothing stores, however, still lack effective methods to identify comprehensive shopping behaviors. In this paper, we show that backscatter signals of passive RFID tags can be exploited to detect and record how customers browse stores, which items of clothes they pay attention to, and which items of clothes they usually match with. The intuition is that the phase readings of tags attached on desired items will demonstrate distinct yet stable patterns in the time-series when customers look at, pick up or turn over desired items. We design ShopMiner, a framework that harnesses these unique spatial-temporal correlations of time-series phase readings to detect comprehensive shopping behaviors. We have implemented a prototype of ShopMiner with a COTS RFID reader and four antennas, and tested its effectiveness in two typical indoor environments. Empirical studies from twoweek shopping-like data show that ShopMiner could achieve high accuracy and efficiency in customer shopping behavior identification. 2015-11-04T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4749 info:doi/10.1145/2809695.2809710 https://ink.library.smu.edu.sg/context/sis_research/article/5752/viewcontent/shopminer_sensys15.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Shopping behavior RFID Backscatter communication Digital Communications and Networking OS and Networks |
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Shopping behavior RFID Backscatter communication Digital Communications and Networking OS and Networks SHANGGUAN, Longfei ZHOU, Zimu ZHENG, Xiaolong YANG, Lei LIU, Yunhao HAN, Jinsong ShopMiner: Mining customer shopping behavior in physical clothing stores with passive RFIDs |
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Shopping behavior data are of great importance to understand the effectiveness of marketing and merchandising efforts. Online clothing stores are capable capturing customer shopping behavior by analyzing the click stream and customer shopping carts. Retailers with physical clothing stores, however, still lack effective methods to identify comprehensive shopping behaviors. In this paper, we show that backscatter signals of passive RFID tags can be exploited to detect and record how customers browse stores, which items of clothes they pay attention to, and which items of clothes they usually match with. The intuition is that the phase readings of tags attached on desired items will demonstrate distinct yet stable patterns in the time-series when customers look at, pick up or turn over desired items. We design ShopMiner, a framework that harnesses these unique spatial-temporal correlations of time-series phase readings to detect comprehensive shopping behaviors. We have implemented a prototype of ShopMiner with a COTS RFID reader and four antennas, and tested its effectiveness in two typical indoor environments. Empirical studies from twoweek shopping-like data show that ShopMiner could achieve high accuracy and efficiency in customer shopping behavior identification. |
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text |
author |
SHANGGUAN, Longfei ZHOU, Zimu ZHENG, Xiaolong YANG, Lei LIU, Yunhao HAN, Jinsong |
author_facet |
SHANGGUAN, Longfei ZHOU, Zimu ZHENG, Xiaolong YANG, Lei LIU, Yunhao HAN, Jinsong |
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SHANGGUAN, Longfei |
title |
ShopMiner: Mining customer shopping behavior in physical clothing stores with passive RFIDs |
title_short |
ShopMiner: Mining customer shopping behavior in physical clothing stores with passive RFIDs |
title_full |
ShopMiner: Mining customer shopping behavior in physical clothing stores with passive RFIDs |
title_fullStr |
ShopMiner: Mining customer shopping behavior in physical clothing stores with passive RFIDs |
title_full_unstemmed |
ShopMiner: Mining customer shopping behavior in physical clothing stores with passive RFIDs |
title_sort |
shopminer: mining customer shopping behavior in physical clothing stores with passive rfids |
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Institutional Knowledge at Singapore Management University |
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2015 |
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https://ink.library.smu.edu.sg/sis_research/4749 https://ink.library.smu.edu.sg/context/sis_research/article/5752/viewcontent/shopminer_sensys15.pdf |
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