银融智能风控服务

基于合规数据源及业务经验打造，基于用户支付行为、消费行为等维度借助人工智能和深度学习领域的模型算法，采用多层模型级联技术，针对业务场景提炼特征变量，对各类互联网、银行及金融业务风险场景下对风险评估要求，结合人脸识别、身份认证、欺诈识别等多种技术和方案，快速准确进行场景各环节中的风险评估及把控。This dataset is built on compliant data sources and business experience. It leverages model algorithms from the fields of artificial intelligence and deep learning across dimensions including user payment behavior and consumption behavior, adopts multi-layer model cascading technology, extracts feature variables tailored to business scenarios to meet risk assessment requirements in various Internet, banking and financial business risk scenarios, and combines multiple technologies and solutions such as face recognition, identity authentication and fraud detection to quickly and accurately conduct risk assessment and control in all links of target scenarios.

搜集汇总

背景与挑战

背景概述

该数据集通过分析用户支付和消费行为等维度，运用人工智能及深度学习技术进行风险评估，适用于互联网、银行等金融场景的风控需求，整合了人脸识别、欺诈识别等多种技术方案。