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NetEase LeiHuo UX Big Data Technology
NetEase LeiHuo UX Big Data Technology
Jun 21, 2024 · Game Development

Data-Driven Causal Analysis Methods for Game Updates When A/B Testing Is Not Feasible

When large‑scale A/B testing is impractical for high‑traffic, socially intensive games, developers can rely on methods such as Difference‑in‑Differences, hypothesis proportion analysis, and differential‑ratio comparison to infer the causal impact of content updates on key performance metrics.

Data AnalysisDifference-in-DifferencesGame development
0 likes · 7 min read
Data-Driven Causal Analysis Methods for Game Updates When A/B Testing Is Not Feasible
Tencent Cloud Developer
Tencent Cloud Developer
May 29, 2024 · Artificial Intelligence

Distributed Network Embedding Algorithm for Billion‑Scale Graph Data in Tencent Games

Tencent’s Game Social Algorithm Team presents a Spark‑based distributed network embedding framework that recursively partitions hundred‑billion‑edge game graphs into manageable subgraphs, runs node2vec locally, and fuses results, enabling efficient link prediction and node classification across multiple games within hours.

Sparkbig-datadistributed computing
0 likes · 7 min read
Distributed Network Embedding Algorithm for Billion‑Scale Graph Data in Tencent Games
DataFunTalk
DataFunTalk
Aug 3, 2023 · Game Development

Applying A/B Testing to Drive Growth in Tencent Overseas Games

This article explains how Tencent leverages A/B testing across its overseas games, detailing market differences, experimental methodology, multi‑cloud platform compliance, data architecture, and case studies that illustrate how targeted experiments improve user onboarding, gameplay settings, and email‑based re‑engagement.

A/B testingdata pipelinesexperiment design
0 likes · 12 min read
Applying A/B Testing to Drive Growth in Tencent Overseas Games
vivo Internet Technology
vivo Internet Technology
Aug 2, 2023 · Game Development

Pre‑Experiment User Stratification Model for Improving AB Test Uniformity in Vivo Game Center

The paper introduces a pre‑user stratification model that uses covariate‑balancing algorithms to create separate strata for distribution and revenue metrics, ensuring equal user allocation in Vivo game‑center AB tests, which reduces metric variance, improves gray‑release effectiveness, and saves significant investigation effort.

AB testingData Analysisexperiment design
0 likes · 14 min read
Pre‑Experiment User Stratification Model for Improving AB Test Uniformity in Vivo Game Center
vivo Internet Technology
vivo Internet Technology
Jun 21, 2023 · Game Development

Post‑Darwin Method for Game Business Effect Evaluation Using Stratified Sampling

The paper presents the ‘Post‑Darwin’ evaluation framework, which uses stratified sampling to compare participants and non‑participants across uniform payment layers, overcoming uneven user distributions and the lack of viable A/B tests in game‑business effect analysis, and demonstrates its effectiveness through real‑world promotional and reservation case studies.

Data Analysisbusiness metricseffect evaluation
0 likes · 13 min read
Post‑Darwin Method for Game Business Effect Evaluation Using Stratified Sampling
DataFunTalk
DataFunTalk
Nov 12, 2022 · Artificial Intelligence

Causal Inference Methods for Large‑Scale Game Analytics: Distributed Propensity Score Matching, Robust Double‑Robust Estimation, and Panel DID

This article introduces causal inference methodologies tailored for game scenarios, discusses the challenges of offline inference on massive data, and presents three distributed solutions—low‑complexity propensity‑score matching, robust double‑robust estimation, and panel difference‑in‑differences—along with their implementation details and performance insights.

causal inferencedistributed computingdouble robust estimation
0 likes · 12 min read
Causal Inference Methods for Large‑Scale Game Analytics: Distributed Propensity Score Matching, Robust Double‑Robust Estimation, and Panel DID
Python Programming Learning Circle
Python Programming Learning Circle
Aug 17, 2022 · Big Data

Game Industry User Data Analysis: Registration Distribution, Payment Metrics, and Consumption Patterns

This article presents a comprehensive Python-based analysis of a large game dataset (2.29 million records, 109 fields), covering user registration trends, payment rates, ARPU/ARPPU calculations, level‑based spending behavior, and consumption patterns of resources and acceleration items, with visualizations and actionable conclusions.

Data VisualizationPythonbig-data
0 likes · 11 min read
Game Industry User Data Analysis: Registration Distribution, Payment Metrics, and Consumption Patterns
vivo Internet Technology
vivo Internet Technology
Aug 3, 2022 · Backend Development

Design and Implementation of a Redis‑Based Pseudo Message Queue for Game Behavior Data

The Vivo Internet Server team built a Redis‑based pseudo‑message queue that uses per‑game fixed‑length lists, a global game set, and Lua scripts for atomic batch production and consumption, satisfying 128‑behavior batch limits, three‑minute timeliness, and high‑throughput (≈10 k QPS) requirements.

LuaMessage QueueRedis
0 likes · 13 min read
Design and Implementation of a Redis‑Based Pseudo Message Queue for Game Behavior Data
NetEase LeiHuo UX Big Data Technology
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.

Data VisualizationEChartsgame analytics
0 likes · 10 min read
Online Game Data Visualization: Key Metrics, Methods, and Tools
DataFunTalk
DataFunTalk
Jun 29, 2022 · Big Data

Migrating a Game Data Platform to StarRocks: Architecture, Performance Gains, and Operational Benefits

This article describes how the gaming company Boke City rebuilt its comprehensive data service platform by replacing a CDH‑based Impala solution with StarRocks, detailing the architectural changes, performance benchmark results, and the resulting improvements in query speed, real‑time data updates, and operational simplicity.

OLAPStarRocksbig-data
0 likes · 14 min read
Migrating a Game Data Platform to StarRocks: Architecture, Performance Gains, and Operational Benefits
DataFunTalk
DataFunTalk
May 10, 2022 · Artificial Intelligence

Experimental Science and Causal Inference Forum – Sessions Overview at DataFun Summit 2022

The DataFun Summit 2022 features an Experimental Science and Causal Inference forum where leading data scientists from Didi, Tencent, Google, ByteDance, and others present deep technical talks on causal inference methods, A/B testing, game operations, and advertising experiments, offering practical insights and audience takeaways.

A/B testingadvertisingcausal inference
0 likes · 10 min read
Experimental Science and Causal Inference Forum – Sessions Overview at DataFun Summit 2022
NetEase LeiHuo UX Big Data Technology
NetEase LeiHuo UX Big Data Technology
Jan 20, 2022 · Big Data

Netease Thunderfire UX Big Data Technology: An Overview of Game Data Practices and Insights

The article introduces Netease Thunderfire UX's big data team and its multidisciplinary approach to game user experience, covering topics such as mathematics, engineering, product practice, AI, visualization, platform development, data analysis, and tool creation for game data professionals.

AIData EngineeringMachine Learning
0 likes · 11 min read
Netease Thunderfire UX Big Data Technology: An Overview of Game Data Practices and Insights
DataFunSummit
DataFunSummit
Dec 13, 2021 · Big Data

Tencent Game Big Data Analysis Engine: Architecture, Practices, and Future Directions

This article presents the design, implementation, and operational experience of Tencent's game big‑data analysis platform, covering its background, the offline, online, and real‑time multi‑dimensional analysis engines, practical use cases, performance optimizations, and future roadmap.

Data EngineeringReal-time ProcessingTencent
0 likes · 14 min read
Tencent Game Big Data Analysis Engine: Architecture, Practices, and Future Directions
DataFunTalk
DataFunTalk
Nov 24, 2021 · Big Data

Tencent Game Big Data Analysis Engine: Architecture, Practices, and Future Plans

This article presents Tencent's game big‑data analysis platform, detailing its background, the architecture of the iData engine—including offline multi‑dimensional analysis (TGMars), online portrait analysis (TGFace), and real‑time multi‑dimensional analysis (TGDruid)—application scenarios, performance insights, and future ecosystem and open‑source plans.

Data EngineeringOLAPTencent
0 likes · 15 min read
Tencent Game Big Data Analysis Engine: Architecture, Practices, and Future Plans
Tencent Tech
Tencent Tech
Sep 10, 2021 · Big Data

How Sohu Changyou Migrated 1 PB of Game Data to the Cloud Without Downtime

This article details how Sohu Changyou’s data team, together with Tencent Cloud engineers, planned and executed a seamless migration of over one petabyte of game data to Elastic MapReduce, Elasticsearch Service and Oceanus, achieving zero service impact and dramatically improving analytics performance.

EMRImpalaTencent Cloud
0 likes · 9 min read
How Sohu Changyou Migrated 1 PB of Game Data to the Cloud Without Downtime
DataFunTalk
DataFunTalk
Apr 3, 2021 · Big Data

Building a Real-Time Data Computing Platform for Tencent Games: Practices and Architecture

This article describes Tencent Games' end‑to‑end real‑time data platform, covering its construction background, the unified OneData development framework, the OneFun data‑service API layer, micro‑service and ServiceMesh management, and the operational benefits achieved through automation, standardization, and scalability.

Flinkbig-datagame analytics
0 likes · 14 min read
Building a Real-Time Data Computing Platform for Tencent Games: Practices and Architecture