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, covering application scenarios such as precise marketing preference analysis and decision support. It enables multi-data source fusion modeling through the deployment and invocation of privacy computing platform nodes to connect with diverse data sources. Additionally, it offers services including user tag customization, dynamic data updating, and collaborative algorithm modeling.

搜集汇总

背景与挑战

背景概述

该数据集基于隐私计算和联邦学习技术，专注于用户出行偏好画像模型评分，旨在为网约车和定制化出行服务提供精准营销和决策支持。它通过对接多数据源进行融合建模，支持用户标签自定义、数据动态更新和算法联合建模，覆盖全国范围，每日更新，数据存储达7TB，底层维度为10，适用于通信行业的出行偏好分析和营销场景。