I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social ApplicationEI

摘要

As online platforms are striving to get more users, a critical challenge is user churn, which is especially concerning for new users. In this paper, by taking the anonymous large-scale real-world data from Snapchat as an example, we develop ClusChurn , a systematic two-step framework for interpretable new user clustering and churn prediction, based on the intuition that proper user clustering can help understand and predict user churn. Therefore, ClusChurn firstly groups new users into interpretable typical clusters, based on their ac...更多
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KDD, pp. 914-922, 2018.

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