Author

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.

Articles

Likes

112

Views

Comments

Latest from NetEase LeiHuo UX Big Data Technology

37 recent articles

NetEase LeiHuo UX Big Data Technology

Sep 20, 2022 · Product Management

Repurchase Strategy in Game Item Recommendation: Scenarios, Challenges, and Implementation

The article examines repurchase strategies for game item recommendations, analyzing various recommendation scenarios, their specific challenges, item classification based on purchase density and repurchase rates, and practical guidelines for applying the strategy across permanent shop, limited‑time gift packs, and refreshable recommendations.

Product ManagementRecommendationStrategy

0 likes · 11 min read

Repurchase Strategy in Game Item Recommendation: Scenarios, Challenges, and Implementation

NetEase LeiHuo UX Big Data Technology

Sep 5, 2022 · Artificial Intelligence

Feature Engineering in Game Data: Types, Missing Value and Outlier Handling

This article explains how feature engineering in game data involves classifying structured and unstructured, quantitative and qualitative features, and details practical methods for handling missing values and outliers to improve machine‑learning model performance.

data preprocessingfeature engineeringgame data

0 likes · 9 min read

Feature Engineering in Game Data: Types, Missing Value and Outlier Handling

NetEase LeiHuo UX Big Data Technology

Aug 18, 2022 · Product Management

Applying MVP Methodology to Game Recommendation Systems

This article explains the Minimum Viable Product (MVP) concept, contrasts it with traditional waterfall development, and demonstrates how MVP can be used in game recommendation business to reduce risk, accelerate feedback loops, and enable agile iterative improvements.

MVPagile developmentiterative improvement

0 likes · 6 min read

Applying MVP Methodology to Game Recommendation Systems

NetEase LeiHuo UX Big Data Technology

Aug 11, 2022 · Artificial Intelligence

Multimodal Models: Research Directions and a Practical Case of Game Frame‑Rate Prediction

This article introduces the concept of modality, outlines the five research branches of multimodal models, and presents a concrete case where multimodal deep‑learning techniques are applied to predict and improve game frame rates using both static and temporal features.

AIfeature fusionframe rate prediction

0 likes · 9 min read

Multimodal Models: Research Directions and a Practical Case of Game Frame‑Rate Prediction

NetEase LeiHuo UX Big Data Technology

Aug 3, 2022 · Big Data

Understanding Spark Streaming Checkpoint Mechanism for Real‑Time Feature Computation

The article explains how Spark Streaming's checkpoint mechanism works, detailing the four-step process—from setting the checkpoint directory to writing RDD data and finalizing the checkpoint—highlighting its role in ensuring fault‑tolerant, fast recovery for real‑time recommendation feature pipelines.

Big DataFault ToleranceSpark Streaming

0 likes · 7 min read

Understanding Spark Streaming Checkpoint Mechanism for Real‑Time Feature Computation

NetEase LeiHuo UX Big Data Technology

Jul 27, 2022 · Game Development

Online Game Data Visualization: Key Metrics, Methods, and Tools

This article explains how massive online game user data can be turned into insightful visualizations by distinguishing in‑game and out‑of‑game contexts, focusing on core metrics such as activity, retention, and payment, and recommending suitable chart types and web‑based visualization tools.

EChartsMetricsheatmap

0 likes · 10 min read

Online Game Data Visualization: Key Metrics, Methods, and Tools

NetEase LeiHuo UX Big Data Technology

Jul 20, 2022 · Game Development

Correlation vs Causation in Game Design: How to Avoid Misleading Data Interpretations

The article explains how spurious correlations can mislead game designers and product managers, illustrates the difference between correlation and causation with real‑world examples, and offers practical methods such as focusing on passive variables, ensuring hard stratification, and using behavior‑chain matching to draw more reliable conclusions.

AB testingcausationcorrelation

0 likes · 9 min read

Correlation vs Causation in Game Design: How to Avoid Misleading Data Interpretations

NetEase LeiHuo UX Big Data Technology

Jul 14, 2022 · Artificial Intelligence

Evolution of Real‑Time Game Recommendation System at NetEase Leihuo

The article reviews the development of NetEase Leihuo's game recommendation system, covering the shift from offline batch recommendation to real‑time feature engineering and online inference, detailing architecture design, practical experiences, performance optimizations, and future directions such as real‑time training.

AIGame IndustryPerformance Optimization

0 likes · 8 min read

Evolution of Real‑Time Game Recommendation System at NetEase Leihuo

NetEase LeiHuo UX Big Data Technology

Jul 3, 2022 · Fundamentals

Why Some Design Patterns Should Be Forgotten When Using Python

This article explains why traditional object‑oriented design patterns such as Strategy, Factory Method, Singleton, and Iterator often become unnecessary or overly complex in Python, illustrating with concise code examples how Python’s first‑class functions, dynamic typing, and built‑in constructs can replace them for clearer, more maintainable solutions.

Design PatternsFactory MethodIterator

0 likes · 12 min read

Why Some Design Patterns Should Be Forgotten When Using Python

NetEase LeiHuo UX Big Data Technology

Jun 30, 2022 · Artificial Intelligence

Personalized Recommendation of Game Cosmetic Items: From Popularity to Latent Factor Models

The article explores how to recommend visually appealing game cosmetics—such as character outfits and weapon skins—by transforming subjective notions of beauty into objective features using popularity heuristics, tag‑based labeling, and latent factor models to predict player preferences.

Recommender Systemsgame cosmeticslatent factor model

0 likes · 8 min read

Personalized Recommendation of Game Cosmetic Items: From Popularity to Latent Factor Models