E-commerce risk control labeling refers to labeling user data in e-commerce websites or applications to determine whether these users meet specific risk standards or behavior patterns so that the e-commerce website or application can Take appropriate measures for risk control. According to relevant public information queries, e-commerce risk control annotation is usually completed by professional annotators or teams, using machine learning and artificial intelligence algorithms to determine the characteristics and attributes in user data. These annotated data will be used for training and optimization. Risk control model to identify high-risk users, behaviors and transactions, and take appropriate measures to protect them.