TY - GEN
T1 - Visual analysis of retailing store location selection
AU - Li, Kelin
AU - Li, Yi Na
AU - Yin, Hong
AU - Hu, Yanpeng
AU - Ye, Peng
AU - Wang, Changbo
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/9/20
Y1 - 2019/9/20
N2 - An appropriate location of the retailing store is vital for achieving business success. However, a huge amount of complex information needs to be considered in location selection, such as customer flow, the business environment, and current business performance. Unlike traditional location recommendation method on account of statistical sampling, we establish a model of business-district attractiveness based on customer flow and provide a method of data-driven visual comparisons. In addition, we build an interactive visual analysis system with a user-friendly interface for an interactive visual query about complex business and environment information. Our system can help users select retailing store location, support interactive visual queries, and display rich information to facilitate manager in decision-making.
AB - An appropriate location of the retailing store is vital for achieving business success. However, a huge amount of complex information needs to be considered in location selection, such as customer flow, the business environment, and current business performance. Unlike traditional location recommendation method on account of statistical sampling, we establish a model of business-district attractiveness based on customer flow and provide a method of data-driven visual comparisons. In addition, we build an interactive visual analysis system with a user-friendly interface for an interactive visual query about complex business and environment information. Our system can help users select retailing store location, support interactive visual queries, and display rich information to facilitate manager in decision-making.
KW - Attractiveness model
KW - Customer flow
KW - Location recommendation
KW - Visual analysis system
UR - https://www.scopus.com/pages/publications/85076809769
U2 - 10.1145/3356422.3356429
DO - 10.1145/3356422.3356429
M3 - 会议稿件
AN - SCOPUS:85076809769
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019
PB - Association for Computing Machinery
T2 - 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019
Y2 - 20 September 2019 through 22 September 2019
ER -