主催: The Japanese Society for Artificial Intelligence
会議名: 2018年度人工知能学会全国大会(第32回)
回次: 32
開催地: 鹿児島県鹿児島市 城山ホテル鹿児島
開催日: 2018/06/05 - 2018/06/08
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.