畅数通黑产用户识别模型评分

基于隐私计算、联邦学习等技术，为黑产识别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 such as privacy computing and federated learning, this dataset provides user profile analysis and joint modeling services for customers with black industry identification needs in application scenarios including precise marketing preference analysis and decision support. By deploying and invoking nodes on the privacy computing platform, it enables integrated modeling by connecting multiple data sources. Additionally, it offers services such as user tag customization, dynamic data updating, and algorithm-based joint modeling.

搜集汇总

背景与挑战

背景概述

该数据集名为'畅数通黑产用户识别模型评分'，专注于通过隐私计算和联邦学习技术，为黑产识别需求提供用户画像分析和联合建模服务。它基于通信数据，每日动态更新，数据存储达7 TB，覆盖全国范围，支持多数据源融合建模和自定义标签，适用于精准营销和决策支持等应用场景。