畅数通用户出行偏好画像模型评分

基于隐私计算、联邦学习等技术，为网约车、定制化出行服务营销需求客户提供精准营销偏好和决策支持等应用场景下提供用户画像分析和联合建模服务。通过隐私计算平台节点部署和调用，对接多数据源融合建模。同时提供用户标签自定义、数据动态更新、算法联合建模等服务。Based on technologies including privacy computing and federated learning, this dataset provides user profile analysis and joint modeling services for customers with marketing requirements for ride-hailing and customized travel services, to support precise marketing preference judgment and decision-making in relevant application scenarios. It enables multi-data source fusion modeling through the deployment and invocation of privacy computing platform nodes. Additionally, it offers services such as custom user tag configuration, dynamic data updating, and algorithmic joint modeling.