인공지능 기반 고객 이탈 예측 기술 동향 및 발전방향

다국어 초록 (Multilingual Abstract)

Customer churn prediction has emerged as a pivotal strategy for survival in the fiercely competitive markets of major companies in developed countries. With the growth and spread of big data technology, companies have access to vast and diverse customer data. Additionally, the rapid growth of machine learning technologies has enabled companies to leverage big data in a significantly more effective and systematic way to address customer churn. In this study, we analyzed churn prediction technologies used in various business fields, such as marketing, IT, telecommunications, finance, and games. Based on this, for companies to apply practical churn prediction modeling in terms of business, we have suggested future directions for technical factors that need to be considered, from labeling to inference performance indicators of models actually served.