Abstract
In this paper, we proposed an improved CMPSI (Consumer Moving Path Similarity Index) algorithm to apply the consumer characteristics of shopping malls and beacon data. The proposed algorithm is a standardized index for defining the standardized similarity considering shopping route and stay time in each beacon area and combining them with similarity considering the definition. The improved CMPSI proposed in this paper is expected to be used as important information for marketing activities to increase profit by combining with consumer purchase information by using beacon service and to apply to other major offline shopping mall area.
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CITATION STYLE
Kim, M. B., Jung, S. W., Chi, Y. D., & Gim, G. Y. (2018). A study on improvement of algorithm for measuring similarity of consumer movement paths in shopping mall. International Journal of Advanced Science and Technology, 116, 49–58. https://doi.org/10.14257/ijast.2018.116.05
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