作者
Longfei Shangguan, Zimu Zhou, Xiaolong Zheng, Lei Yang, Yunhao Liu, Jinsong Han
发表日期
2015/11/1
图书
Proceedings of the 13th ACM conference on embedded networked sensor systems
页码范围
113-125
简介
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 …
学术搜索中的文章
L Shangguan, Z Zhou, X Zheng, L Yang, Y Liu, J Han - Proceedings of the 13th ACM conference on …, 2015
Z Zhou, L Shangguan, X Zheng, L Yang, Y Liu - IEEE/ACM transactions on networking, 2017