畅数通社交软件用户偏好画像模型评分

基于隐私计算、联邦学习等技术，为社交软件存量用户分析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。

Leveraging technologies including privacy computing and federated learning, this dataset offers user portrait analysis and joint modeling services for customers in need of existing user analysis for social software, supporting application scenarios such as precise marketing preference analysis and decision-making support. It enables integrated modeling across multiple data sources through the deployment and invocation of privacy computing platform nodes. In addition, it provides services including user tag customization, dynamic data update, and algorithmic joint modeling.

搜集汇总

背景与挑战

背景概述

该数据集是一个基于隐私计算和联邦学习技术的用户偏好画像模型评分服务，专为社交软件存量用户分析设计，旨在通过多数据源融合建模提供精准营销偏好和决策支持。它覆盖全国范围，每日动态更新，数据存储量达7 TB，主要应用于通信行业的精准营销场景，支持用户标签自定义和算法联合建模等功能。