Newcomers churn prediction by the event sequence on social networking service
-
- SATO Koya
- Tsukuba University
-
- OKA Mizuki
- Tsukuba University
-
- KATO Kazuhiko
- Tsukuba University
Description
<p>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.</p>
Journal
-
- Proceedings of the Annual Conference of JSAI
-
Proceedings of the Annual Conference of JSAI JSAI2018 (0), 4A205-4A205, 2018
The Japanese Society for Artificial Intelligence
- Tweet
Details 詳細情報について
-
- CRID
- 1390282763075058176
-
- NII Article ID
- 130007424792
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed