Presentation information


Oral presentation

General Session » [General Session] 2. Machine Learning

[4A2] [General Session] 2. Machine Learning

Fri. Jun 8, 2018 2:00 PM - 3:40 PM Room A (4F Emerald Hall)

座長:菊田 遥平(クックパッド株式会社)

3:20 PM - 3:40 PM

[4A2-05] Newcomers churn prediction by the event sequence on social networking service

〇Koya Sato1, Mizuki Oka1, Kazuhiko Kato1 (1. Tsukuba University)

Keywords:Churn prediction, Deep Learning, SNS

To be sustainable the social networking service, newcomer churn prediction is an important task. Previous churn prediction models use handcrafted and service-specific features. Therefore, it is difficult to apply developed the model to other similar social networking services. To solve this, we propose new deep learning method that doesn't depend on specific service.