Extraction of Behavioral Features Based on Customers’ Point Use History

KENJI TANAKA, KUMADA SHU, SHEN-MING GU, JING ZHANG

Abstract


To analyze features of customers’ point use behavior, we define and classify a unit based on five feature values to extract the behavioral features. Our results will contribute to the construction of a customer-specific measurement system through visualizing time-series transitions of customer point use behavior

Keywords


ID-POS Data, Point, UnitText


DOI
10.12783/dtetr/icicr2019/30609

Refbacks

  • There are currently no refbacks.