Host: The Japanese Society for Artificial Intelligence
Name : 34th Annual Conference, 2020
Number : 34
Location : Online
Date : June 09, 2020 - June 12, 2020
In this work, we analyze the consumer behavior in Marunouchi area and the promotion activities on social network service (SNS). This analysis is expected to be used for valuable applications such as finding potential customers, targeting customers, proposing more effective promotion, and attracting more people. In the analysis, we used the properly anonymized purchase history data and extracted the customers' purchase patterns which shows the inherent features in Marunouchi area. In addition, we used the information of the SNS promotion activities. By analyzing the profiles of the SNS users who follow the promotion account, we got the clues to inferred potential customers. As a result, beneficial implications for more effective promotion are shown.