Tagged articles
10 articles
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Baidu Tech Salon
Baidu Tech Salon
Nov 20, 2024 · Big Data

Optimizing Multi‑Dimensional User Count Computation in Feed Using Data Tagging

By deduplicating logs and assigning compact numeric tags to each user‑dimension combination, the data‑tagging method replaces costly lateral‑view expansions with a user‑level aggregation, cutting shuffle volume from terabytes to gigabytes and reducing runtime from 49 minutes to 14 minutes, enabling scalable multi‑dimensional user‑count analysis for Baidu Feed.

HiveSQL Optimizationdata tagging
0 likes · 14 min read
Optimizing Multi‑Dimensional User Count Computation in Feed Using Data Tagging
Baidu Geek Talk
Baidu Geek Talk
Nov 18, 2024 · Big Data

Optimizing Multi-Dimensional User Count Statistics in Big Data Computing: A Data Tagging Approach

By replacing exponential row expansion with a data‑tagging strategy that encodes dimension combinations and aggregates at the user level, the authors cut Baidu Feed’s multi‑dimensional user‑count computation time from 49 to 14 minutes and shuffle size from 16 TB to 800 GB, enabling scalable analysis across dozens of dimensions for billions of daily users.

Big Data OptimizationHive SQLdata tagging
0 likes · 12 min read
Optimizing Multi-Dimensional User Count Statistics in Big Data Computing: A Data Tagging Approach
360 Tech Engineering
360 Tech Engineering
Jun 2, 2023 · Big Data

Overcoming Challenges in User Profiling: A Big Data‑Driven Framework for Precise Marketing

The article outlines how a unified, big‑data‑based user profiling platform addresses traditional data silos, high costs, and limited functionality by standardizing tags, integrating Spark and RHadoop processing, and enabling a closed‑loop marketing workflow that improves accuracy and operational efficiency.

Big DataData IntegrationMarketing Automation
0 likes · 7 min read
Overcoming Challenges in User Profiling: A Big Data‑Driven Framework for Precise Marketing
DataFunTalk
DataFunTalk
Dec 18, 2022 · Big Data

Application of Data Tags and Metrics in the Financial Industry

The article explains the concepts, classifications, construction methods, and practical usage of data tags and metrics in the financial sector, illustrating how to build indicator and label systems and how to apply them effectively for refined customer operations and business management.

Financial IndustryIndicator Systemdata tagging
0 likes · 13 min read
Application of Data Tags and Metrics in the Financial Industry
DataFunTalk
DataFunTalk
Jan 30, 2022 · Fundamentals

Understanding and Building User Profiles: Definitions, Dimensions, Tagging, and Business Applications

This article explains the concept of user profiling, outlines common dimensions and tag structures, discusses its importance in marketing, finance and product design, and provides a step‑by‑step methodology for constructing, modeling, and applying user profiles in real‑world scenarios.

Customer Segmentationartificial intelligencedata tagging
0 likes · 24 min read
Understanding and Building User Profiles: Definitions, Dimensions, Tagging, and Business Applications
Big Data Technology & Architecture
Big Data Technology & Architecture
Dec 1, 2021 · Big Data

Building a Complete Retail Industry Tagging System for Data‑Driven Operations

This article explains how D‑E‑Commerce designed and implemented a comprehensive retail‑industry tag taxonomy and data‑asset framework to enable data‑driven operations and personalized recommendations, detailing the architecture, backend and frontend tag structures, and their practical application in marketing and analytics.

Retaildata taggingpersonalization
0 likes · 7 min read
Building a Complete Retail Industry Tagging System for Data‑Driven Operations
Big Data Technology & Architecture
Big Data Technology & Architecture
Jun 10, 2021 · Big Data

User Profiling: Concepts, Tag Classification, Tag‑System Construction, Applications and Implementation Steps

This article provides a comprehensive overview of user profiling, covering its definition, the five‑dimensional framework (goal, method, organization, standards, validation), various tag classifications, tag‑system architecture, modeling techniques, practical applications such as precise marketing and product innovation, and a step‑by‑step guide for building a profiling system using big‑data and AI methods.

Big DataCustomer Segmentationdata tagging
0 likes · 24 min read
User Profiling: Concepts, Tag Classification, Tag‑System Construction, Applications and Implementation Steps
Big Data Technology & Architecture
Big Data Technology & Architecture
Jun 27, 2020 · Big Data

Comprehensive Guide to User Profiling: Concepts, Data Sources, Tagging System, Architecture, and Implementation

This article provides an in‑depth overview of user profiling, covering its definition, objectives, data dimensions, tagging taxonomy, technical architecture, data processing pipelines using Hadoop, Spark, Hive, MongoDB and MySQL, as well as practical challenges and best‑practice steps for building scalable profiling systems.

customer analyticsdata taggingmachine learning
0 likes · 18 min read
Comprehensive Guide to User Profiling: Concepts, Data Sources, Tagging System, Architecture, and Implementation
HomeTech
HomeTech
May 7, 2020 · Big Data

Construction and Evaluation of User Profiles: Identification, Tagging, Storage, and Quality Assessment

This article explains how to build user profiles by distinguishing persona from profile, describing the evolution of ID‑mapping techniques, designing a multi‑layer tag system, implementing statistical, interest, and model tags, storing the data in Hive, HBase, Codis and Elasticsearch, and finally evaluating profile timeliness, coverage and accuracy.

Big Datadata storagedata tagging
0 likes · 11 min read
Construction and Evaluation of User Profiles: Identification, Tagging, Storage, and Quality Assessment
Big Data and Microservices
Big Data and Microservices
Aug 23, 2018 · Industry Insights

How to Build Effective User Profiles for Precise Marketing and Risk Control

This article explains what user profiling is, why it matters for large‑scale enterprises, and how to design a data‑driven profiling system—including data sources, business modeling, tag taxonomy, and practical applications such as targeted marketing, risk assessment, user research, personalized services, and strategic decision‑making.

data taggingmarketing analyticsrisk management
0 likes · 12 min read
How to Build Effective User Profiles for Precise Marketing and Risk Control