2018年度人工知能学会全国大会(第32回)

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一般セッション » [一般セッション] 2.機械学習

[4A2] 機械学習-深層学習(6)

2018年6月8日(金) 14:00 〜 15:40 A会場 (4F エメラルドホール)

座長:菊田 遥平(クックパッド株式会社)

15:20 〜 15:40

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

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

キーワード: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.