营销保护

依托集团体系业务积累的数据，构建数据算法底座，基于海量样本、机器学习等技术的泛互场景C端风控评分产品，营销保护针对线上营销活动场景，识别活动参与人的“薅羊毛”风险

Built on data accumulated from the group's systematic business operations, this dataset establishes a data-algorithm infrastructure and supports a consumer-facing risk control scoring product for general Internet scenarios. Developed using technologies such as massive sample training and machine learning, the product features a marketing protection module targeting online marketing campaign scenarios to identify the risk of promotional abuse (colloquially referred to as "sheep-shearing") among event participants.

搜集汇总

背景与挑战

背景概述

该数据集是一款基于集团业务积累的海量样本与机器学习技术构建的C端风控评分产品，专门用于线上营销活动场景，识别并防范‘薅羊毛’等风险行为。数据主题为市场经营/营销数据，来源行业为金融，覆盖全国，每日动态更新，存储规模达500 TB，提供实时风控评分服务。