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DataFunTalk
DataFunTalk
Jan 2, 2022 · Fundamentals

Survival Analysis for User Churn: Concepts, Data Preparation, and Quantitative Modeling

This article introduces survival analysis, explains how to model user churn by defining purchase and cancellation times as birth and death events, describes data formatting, presents descriptive Kaplan‑Meier results, and shows how Cox regression quantifies the impact of factors such as membership and activity on user survival.

Cox regressiondata analysisstatistical modeling
0 likes · 7 min read
Survival Analysis for User Churn: Concepts, Data Preparation, and Quantitative Modeling
DataFunTalk
DataFunTalk
Dec 22, 2021 · Artificial Intelligence

Applying Survival Analysis to User Activity Modeling: Concepts, Methods, and the KwaiSurvival Deep‑Learning Framework

This article explains why traditional DAU metrics are insufficient, introduces survival analysis fundamentals and key functions, demonstrates how Kaplan‑Meier curves can characterize user activity, and presents KwaiSurvival—a deep‑learning‑based survival modeling suite with DeepSurv, DeepHit and N‑MTLR models—for practical user‑engagement and churn‑prevention use cases.

Cox regressionKM curveKwaiSurvival
0 likes · 15 min read
Applying Survival Analysis to User Activity Modeling: Concepts, Methods, and the KwaiSurvival Deep‑Learning Framework