Understanding Customer Data Platforms (CDP): Why They’re Needed and How to Build One

The article explains what a Customer Data Platform (CDP) is, why businesses need it to overcome fragmented multi‑channel data, enable fine‑grained operations and data‑driven growth, and outlines the key steps for building a CDP, including data collection, OneID unification, tagging, lifecycle management, and marketing execution.

CDPData IntegrationUser Tagging

0 likes · 10 min read

Understanding Customer Data Platforms (CDP): Why They’re Needed and How to Build One

DataFunTalk

Sep 17, 2020 · Big Data

Design and Implementation of a Scalable User Tag Production Platform

The article explains how a flexible, high‑performance user‑tagging system is built on a batch‑stream integrated architecture using big‑data technologies such as Impala, HDFS, and Flink to support both offline and real‑time label generation for precise marketing, product improvement, and operational analytics.

Big DataFlinkImpala

0 likes · 15 min read

Design and Implementation of a Scalable User Tag Production Platform

Java Architect Essentials

Aug 23, 2020 · Industry Insights

Inside 今日头条's Recommendation Engine: Architecture, Features, and Evaluation

This article provides a comprehensive technical overview of 今日头条's recommendation system, covering its three-dimensional feature model, algorithm choices, real‑time training pipeline, recall strategies, content analysis, user tagging, evaluation methods, and content‑safety mechanisms.

A/B testingContent SafetyHierarchical Classification

0 likes · 20 min read

Inside 今日头条's Recommendation Engine: Architecture, Features, and Evaluation

Liangxu Linux

Mar 9, 2020 · Artificial Intelligence

Inside ByteDance’s Recommendation Engine: How TikTok Delivers Billions of Personalized Feeds

ByteDance’s recommendation system models user satisfaction as a function of content, user, and context features, employing diverse algorithms—from logistic regression to deep learning—while leveraging real‑time training, hierarchical text classification, dynamic user tagging, rigorous A/B testing, and multi‑layer content safety checks to deliver personalized feeds at massive scale.

Content SafetyReal-time TrainingRecommendation Systems

0 likes · 19 min read

Inside ByteDance’s Recommendation Engine: How TikTok Delivers Billions of Personalized Feeds