In this paper, I present churn prediction techniques that have been released so far. Churn prediction is used in the fields of Internet services, games, insurance, and management. However, since it has been used intensively to increase the predictability of various industry/academic fields, there is a big difference in its definition and utilization. In this paper, I collected the definitions of churn used in the fields of business administration, marketing, IT, telecommunications, newspapers, insurance and psychology, and described their differences. Based on this, I classified and explained churn loss, feature engineering, and prediction models. Our study can be used to select the definition of churn and its associated models suitable for the service field that researchers are most interested in by integrating fragmented churn studies in industry/academic fields.
翻译:在本文中,我介绍了迄今为止已经公布的粗野预测技术,Curn预测用于互联网服务、游戏、保险和管理等领域,然而,由于大量使用这些技术来提高各种行业/学科领域的可预测性,因此在定义和利用方面有很大差异。在本文中,我收集了商业管理、营销、信息技术、电信、报纸、保险和心理学领域使用的粗野定义,并描述了这些定义的差异。基于这一点,我对粗野损失、特征工程和预测模型进行了分类和解释。我们的研究可以用来选择适合服务领域(研究人员最感兴趣的是将零碎的分类研究纳入工业/学科领域)的粗野及其相关模型。