Learning from Double Positive and Unlabeled Data for Potential-Customer Identification

Masahiro Kato, Yuki Ikeda, Kentaro Baba +2

In this study, we propose a method for identifying potential customers in targeted marketing by applying learning from positive and unlabeled data (PU learning). We consider a scen…