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NetEase LeiHuo UX Big Data Technology

The NetEase LeiHuo UX Data Team creates practical data‑modeling solutions for gaming, offering comprehensive analysis and insights to enhance user experience and enable precise marketing for development and operations. This account shares industry trends and cutting‑edge data knowledge with students and data professionals, aiming to advance the ecosystem together with enthusiasts.

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Latest from NetEase LeiHuo UX Big Data Technology

37 recent articles

NetEase LeiHuo UX Big Data Technology

Jun 16, 2022 · Artificial Intelligence

Collaborative Filtering Basics, Variants, and Tricks for Game Fashion Recommendation

An in‑depth overview of collaborative filtering, covering basic item‑based and user‑based methods, their limitations, advanced tricks such as IUF correction, popularity suppression, sliding‑window behavior sequencing, and a concrete implementation for game fashion recommendation, illustrating how to use CF as a baseline in early‑stage product development.

AIBaselinecollaborative filtering

0 likes · 9 min read

Collaborative Filtering Basics, Variants, and Tricks for Game Fashion Recommendation

NetEase LeiHuo UX Big Data Technology

May 23, 2022 · Fundamentals

Understanding Causality: Philosophical Foundations, Causal Networks, and Simpson’s Paradox

The article explores the concept of causality from philosophical definitions and INUS conditions to statistical approaches like Granger causality, introduces causal network structures (chain, fork, collider), and demonstrates their use in resolving Simpson’s paradox through epidemiological and medical examples.

causal networkscausalityepidemiology

0 likes · 12 min read

Understanding Causality: Philosophical Foundations, Causal Networks, and Simpson’s Paradox

NetEase LeiHuo UX Big Data Technology

May 9, 2022 · Information Security

Data Masking (Data Desensitization) Strategies and Techniques

In the era of big data, protecting sensitive information through static and dynamic data masking techniques—such as nullification, randomization, substitution, symmetric encryption, averaging, and offset—ensures data security while preserving usability for development, testing, and analytics.

Data SecurityDynamic Maskingdata masking

0 likes · 8 min read

Data Masking (Data Desensitization) Strategies and Techniques

NetEase LeiHuo UX Big Data Technology

Apr 20, 2022 · R&D Management

Scrum Framework Overview and Its Application in Game Development

This article explains the Scrum framework—its core concepts, roles, ceremonies, and iterative process—and discusses how game development teams can adopt Scrum and Scrum of Scrums to improve efficiency, manage change, and deliver valuable products.

agilegame developmentproject management

0 likes · 10 min read

Scrum Framework Overview and Its Application in Game Development

NetEase LeiHuo UX Big Data Technology

Mar 29, 2022 · Frontend Development

Evolution of npm: From Nested v1/v2 to Flat v3 and Lock‑file v5

This article examines the development of npm, describing its early nested dependency model in v1/v2, the flat‑dependency approach introduced in v3, and the package‑lock enhancements of v5, while highlighting the advantages and new challenges each version brought to Node.js package management.

Versioningdependency managementfrontend

0 likes · 7 min read

Evolution of npm: From Nested v1/v2 to Flat v3 and Lock‑file v5

NetEase LeiHuo UX Big Data Technology

Mar 23, 2022 · Databases

Overview of Database Architecture, Storage Engines, and Data Layouts

This article explains the core components of database systems, including their client‑server architecture, query processing, storage engine modules, classification by storage media (memory vs. disk), and the differences between row‑oriented and column‑oriented data layouts, concluding with future topics to explore.

Column LayoutRow LayoutStorage Engine

0 likes · 8 min read

Overview of Database Architecture, Storage Engines, and Data Layouts

NetEase LeiHuo UX Big Data Technology

Mar 17, 2022 · Frontend Development

Introduction to Playwright: Features, Testing Pyramid, and Quick‑Start Guide

This article introduces Microsoft’s open‑source Playwright framework, outlines its cross‑platform, cross‑browser, and multi‑language capabilities, explains the testing pyramid model, and provides a step‑by‑step quick‑start tutorial with configuration and sample TypeScript test scripts for end‑to‑end web testing.

PlaywrightTypeScripte2e

0 likes · 7 min read

Introduction to Playwright: Features, Testing Pyramid, and Quick‑Start Guide

NetEase LeiHuo UX Big Data Technology

Mar 11, 2022 · Databases

SQL Language Categories, Backup & Recovery Types, and MySQL Backup Methods with Flashback Recovery

This article explains the four SQL language categories (DDL, DML, DCL, TCL), various backup and recovery types, common MySQL backup methods, and flashback recovery techniques, providing detailed guidance and tool comparisons for database administrators.

BackupDMLFlashback

0 likes · 8 min read

SQL Language Categories, Backup & Recovery Types, and MySQL Backup Methods with Flashback Recovery

NetEase LeiHuo UX Big Data Technology

Mar 7, 2022 · Frontend Development

Web Animation Techniques: CSS Frame, Tween, JavaScript, SVG, and Canvas

Web animation enhances user experience by providing visual feedback and dynamic content, and this article surveys common frontend animation methods—including CSS frame and tween animations, JavaScript style manipulation, SVG animations, and Canvas/WebGL techniques—detailing their implementations, use cases, and performance considerations.

CSSCanvasFrontend Development

0 likes · 9 min read

Web Animation Techniques: CSS Frame, Tween, JavaScript, SVG, and Canvas

NetEase LeiHuo UX Big Data Technology

Feb 26, 2022 · Fundamentals

Applying DMAIC and the Five‑Layer UX Model to Data Product Design

The article explains how the DMAIC framework from Six Sigma and the five‑layer user‑experience model can be combined to guide the definition, measurement, analysis, improvement, and control of data products, especially in gaming contexts, emphasizing systematic design, visualization, and iterative refinement.

Data Product DesignSix Sigmadata mining

0 likes · 8 min read

Applying DMAIC and the Five‑Layer UX Model to Data Product Design