Analysis of event visitor behavior and emotions in service space using real-world big data and probabilistic models

Abstract

In the strategy of shopping complexs, it is important to know customers. In this resarch, we collected the action history of the event held in one of shopping complexs by using ID wristbands. We report the analysis results of the obtained data using PLSA and Bayesian network, and also consider application of this system.