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

Based on the data accumulated via the group's systematic business practices, this solution builds a data algorithm foundation. Leveraging technologies such as massive sample datasets and machine learning, it delivers consumer-side risk control scoring products for general Internet scenarios, alongside marketing protection services for online marketing campaign scenarios to identify the risk of fraudulent promotional exploitation (commonly referred to as "薅羊毛" in Chinese contexts) by event participants.

搜集汇总

背景与挑战

背景概述

该数据集是一个针对线上营销活动场景的风控评分产品，主要用于识别活动参与人的'薅羊毛'风险。数据集每日更新，覆盖全国，存储大小为500 TB，底层数据维度丰富，适用于金融服务领域的营销风控需求。