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 paper, we construct a prediction model and analyze factors for repurchase in single-item-regular-mail-order (SIRMO). SIRMO is new sales model, hence there are few previous researches for analysis of SIRMO. We use LightGBM as our prediction model and it shows improvement of especially accuracy and precision for baseline. We also find characteristic factors of repurchase in SIRMO by using a logistic regression model.