畅数通用户职业画像模型评分

基于隐私计算、联邦学习等技术，为客户提供用户职业画像分析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 service provides user profile analysis and joint modeling services for customers in application scenarios such as user career portrait analysis and decision support. Through the deployment and invocation of privacy computing platform nodes, it connects with multiple data sources to conduct integrated modeling. Additionally, it offers services such as user tag customization, dynamic data update, and joint algorithmic 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，为用户职业画像分析和决策支持提供多数据源融合建模服务，支持标签自定义和数据动态更新。数据集聚焦于通信行业的电信数据，覆盖全国范围，每日更新，数据存储规模达7 TB，底层维度为10，适用于大数据分析场景。