Newcomers churn prediction by the event sequence on social networking service
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- SATO Koya
- Tsukuba University
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- OKA Mizuki
- Tsukuba University
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- KATO Kazuhiko
- Tsukuba University
説明
<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>
収録刊行物
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- 人工知能学会全国大会論文集
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人工知能学会全国大会論文集 JSAI2018 (0), 4A205-4A205, 2018
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390282763075058176
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- NII論文ID
- 130007424792
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可