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Kuaishou Tech
Kuaishou Tech
Apr 24, 2026 · Artificial Intelligence

ICLR 2026: Kuaishou Tech Team’s Cutting‑Edge AI Research Highlights

This article reviews eight Kuaishou‑authored papers accepted at ICLR 2026, summarizing their problem statements, novel methods such as front‑door causal attribution, visual table retrieval, denoising rerankers, difficulty‑adaptive reasoning, diffusion code infilling, generative ordinal regression, multimodal video retrieval, e‑commerce dialogue benchmarks, and a new LLM creativity evaluator, together with reported experimental gains.

Artificial IntelligenceCausal AttributionDiffusion Models
0 likes · 19 min read
ICLR 2026: Kuaishou Tech Team’s Cutting‑Edge AI Research Highlights
SpringMeng
SpringMeng
Dec 24, 2025 · Information Security

Technical Breakdown of Why Kuaishou Was Hacked

Within a 60‑90 minute window on Dec 22, hackers breached Kuaishou’s systems, exploiting nighttime staffing fatigue, high‑privilege token leaks, AI moderation tricks, direct video uploads, massive account overload, and microservice architecture flaws, highlighting critical security gaps for large platforms.

AI moderation evasionContainer SecurityKuaishou
0 likes · 4 min read
Technical Breakdown of Why Kuaishou Was Hacked
DataFunTalk
DataFunTalk
Nov 9, 2025 · Big Data

How Kuaishou E‑Commerce Built a Data‑Driven Metric System to Boost Operations

This article explores Kuashou's e‑commerce data metric system, detailing why a metric framework is essential, the business context, the challenges faced across data production, querying and usage, and the practical solutions implemented to improve decision‑making and operational efficiency.

Data ProductKuaishoudata metrics
0 likes · 5 min read
How Kuaishou E‑Commerce Built a Data‑Driven Metric System to Boost Operations
DataFunTalk
DataFunTalk
Nov 1, 2025 · Big Data

How Kuaishou E‑Commerce Built a Data Metric System to Power Decision‑Making

The article examines Kuaishou’s e‑commerce data metric system, detailing why a metric framework is essential, how it was built, the product practice, management methods, and the challenges faced by data product managers, engineers, and operators across production, querying, and usage stages.

Big DataData ProductKuaishou
0 likes · 6 min read
How Kuaishou E‑Commerce Built a Data Metric System to Power Decision‑Making
DataFunTalk
DataFunTalk
Oct 31, 2025 · Big Data

How Kuaishou E‑Commerce Built a Data Metric System to Power Decision‑Making

This article explores Kuaishou e‑commerce's journey in constructing a comprehensive data metric system, detailing its business context, the necessity of metrics, challenges faced by data product managers and engineers, practical implementation steps, management practices, and a concluding Q&A.

Big DataKuaishoudata metrics
0 likes · 6 min read
How Kuaishou E‑Commerce Built a Data Metric System to Power Decision‑Making
DataFunTalk
DataFunTalk
Oct 27, 2025 · Big Data

How Kuaishou E‑Commerce Built a Powerful Data Metric System

This article examines Kuaishou's e‑commerce data metric system, explaining why such a framework is essential, how it was constructed, the practical product implementation, management practices, and lessons learned, while also addressing common data production, query, and usage challenges faced by product and engineering teams.

Data ProductKuaishoudata metrics
0 likes · 6 min read
How Kuaishou E‑Commerce Built a Powerful Data Metric System
DataFunTalk
DataFunTalk
Oct 26, 2025 · Big Data

How Kuaishou E‑Commerce Built a Data Metric System to Drive Growth

This article explores Kuaishou E‑Commerce’s journey in constructing a comprehensive data metric system, detailing its business context, the necessity of metrics, challenges across data production, querying and usage, practical implementation steps, management practices, and a concluding Q&A.

Data GovernanceKuaishoudata metrics
0 likes · 6 min read
How Kuaishou E‑Commerce Built a Data Metric System to Drive Growth
DataFunSummit
DataFunSummit
Oct 12, 2025 · Artificial Intelligence

How Kuaishou Uses Large Models to Supercharge Ad Targeting with COPE and LEARN

This article reviews Kuaishou's two‑year exploration of multimodal large‑model techniques for advertising, outlining challenges in content‑domain ad estimation, the COPE unified product representation framework, and the LEARN LLM knowledge‑transfer approach that together improve ad system performance.

AdvertisingKuaishouLLM
0 likes · 6 min read
How Kuaishou Uses Large Models to Supercharge Ad Targeting with COPE and LEARN
DataFunSummit
DataFunSummit
Oct 10, 2025 · Artificial Intelligence

How Kuaishou Boosted Ad Performance with Multimodal Large Models

This article reviews Kuaishou's two‑year exploration of large‑model techniques in advertising, outlining challenges in content‑domain ad estimation, introducing the COPE unified content representation framework and the LEARN LLM knowledge‑transfer approach, and showing how these innovations delivered tangible business gains.

AIAdvertisingKnowledge Transfer
0 likes · 5 min read
How Kuaishou Boosted Ad Performance with Multimodal Large Models
DataFunSummit
DataFunSummit
Oct 9, 2025 · Artificial Intelligence

How Kuaishou Boosted Ad Performance with Multimodal Large Models: COPE & LEARN

This article reviews Kuaishou's two‑year exploration of multimodal large‑model techniques for advertising, detailing challenges of fragmented user behavior, the COPE unified product representation framework, and the LEARN LLM knowledge‑transfer approach that together delivered measurable business gains.

AIAdvertisingKnowledge Transfer
0 likes · 6 min read
How Kuaishou Boosted Ad Performance with Multimodal Large Models: COPE & LEARN
DataFunSummit
DataFunSummit
Oct 8, 2025 · Artificial Intelligence

How Kuaishou Boosted Ad Performance with Multimodal LLMs and the COPE Framework

This article reviews Kuaishou’s two‑year exploration of large‑model techniques in advertising, detailing the content‑domain estimation challenges, how multimodal and LLM approaches improve full‑domain behavior utilization and external knowledge integration, and introducing the COPE product‑content representation framework and the LEARN LLM knowledge‑transfer system.

AdvertisingKuaishouLLM
0 likes · 7 min read
How Kuaishou Boosted Ad Performance with Multimodal LLMs and the COPE Framework
DataFunSummit
DataFunSummit
Sep 30, 2025 · Artificial Intelligence

How Kuaishou Boosted Ad Performance with Multimodal LLMs: COPE & LEARN Frameworks

Over the past two years, Kuaishou has leveraged multimodal large‑model techniques to overcome sparse advertising data, integrating full‑domain user behavior and external knowledge via the COPE unified product representation framework and the LEARN LLM knowledge‑transfer system, achieving measurable business gains.

KuaishouLLMMultimodal
0 likes · 6 min read
How Kuaishou Boosted Ad Performance with Multimodal LLMs: COPE & LEARN Frameworks
DataFunTalk
DataFunTalk
Sep 22, 2025 · Big Data

How Kuaishou Scales Intelligent BI: Insights from Its Data Platform

This article outlines Kuaishou's Data Platform team's mission to boost data‑driven decision making through advanced compute engines, high‑performance services, and AI‑enhanced BI, detailing its architecture, challenges, solutions, and future outlook for large‑scale intelligent analytics.

AIAnalyticsBI
0 likes · 6 min read
How Kuaishou Scales Intelligent BI: Insights from Its Data Platform
DataFunTalk
DataFunTalk
Sep 19, 2025 · Big Data

How Kuaishou’s Data Platform Powers Intelligent BI with AI and Big Data

This article outlines how Kuaishou’s Data Platform Department enhances decision‑making efficiency by building advanced compute engines and high‑performance services, detailing the platform’s architecture, challenges of intelligent BI, AI‑driven solutions, and the end‑to‑end BI workflow from data ingestion to analysis.

AnalyticsArtificial IntelligenceBI
0 likes · 5 min read
How Kuaishou’s Data Platform Powers Intelligent BI with AI and Big Data
Kuaishou Tech
Kuaishou Tech
Jul 16, 2025 · Artificial Intelligence

How KuaiMM Conversation Revolutionizes Multimodal Dialogue on Short‑Video Platforms

The KuaiMM Conversation project introduces a multimodal large‑model‑driven dialogue system for Kuaishou, featuring the world‑first short‑video mixed‑dialogue dataset, a Chain‑of‑Thought interaction framework, and large‑scale industrial deployments that dramatically improve live‑stream comments and intelligent customer service.

Chain-of-ThoughtDatasetKuaishou
0 likes · 11 min read
How KuaiMM Conversation Revolutionizes Multimodal Dialogue on Short‑Video Platforms
Kuaishou Large Model
Kuaishou Large Model
Jun 20, 2025 · Artificial Intelligence

How OneRec Revolutionizes Short-Video Recommendations with End-to-End Generative AI

OneRec, an end-to-end generative recommendation system from Kuaishou, uses an encoder-decoder architecture, reward-based preference alignment, and reinforcement learning to dramatically improve video recommendation efficiency, boosting user engagement and reducing operational costs while achieving scaling-law performance comparable to large language models.

KuaishouReinforcement Learningefficiency
0 likes · 18 min read
How OneRec Revolutionizes Short-Video Recommendations with End-to-End Generative AI
Kuaishou Tech
Kuaishou Tech
Jun 20, 2025 · Artificial Intelligence

How OneRec Redefines Recommendation with End‑to‑End Generative Modeling and RL Alignment

The OneRec system from Kuaishou replaces traditional cascade recommendation pipelines with an encoder‑decoder architecture, leverages reward‑based preference alignment via reinforcement learning, achieves ten‑fold FLOPs gains, cuts operational costs by 90%, and delivers significant user‑engagement improvements across short‑video and local‑service scenarios.

Generative ModelingKuaishouOneRec
0 likes · 17 min read
How OneRec Redefines Recommendation with End‑to‑End Generative Modeling and RL Alignment
Kuaishou Tech
Kuaishou Tech
Jun 10, 2025 · Artificial Intelligence

Top 12 Cutting-Edge Video Generation Papers from Kuaishou at CVPR 2025

The article highlights CVPR 2025’s acceptance statistics and showcases twelve cutting‑edge video‑generation papers from Kuaishou, spanning datasets, quality assessment, style control, scaling laws, 4D simulation, interleaved image‑text data, vision‑language acceleration, high‑fidelity avatars, patch‑wise super‑resolution, narrative‑driven benchmarks, sketch‑based editing, and spatio‑temporal diffusion, each with links and abstracts.

CVPR2025Computer VisionKuaishou
0 likes · 20 min read
Top 12 Cutting-Edge Video Generation Papers from Kuaishou at CVPR 2025
Kuaishou Tech
Kuaishou Tech
May 28, 2025 · Databases

Optimizing Kuaishou's Photo Object Storage: Reducing Size and Boosting Cache Hit Rate

This article details how Kuaishou dramatically cut storage costs and improved cache efficiency for its core Photo data object by cleaning up redundant JSON fields, applying selective serialization, and performing large‑scale data cleaning, achieving a 25% size reduction, a 2% cache‑hit increase, and multi‑hundred‑TB savings.

Cache Hit RateKuaishouPhoto Object
0 likes · 20 min read
Optimizing Kuaishou's Photo Object Storage: Reducing Size and Boosting Cache Hit Rate
Kuaishou Frontend Engineering
Kuaishou Frontend Engineering
Feb 25, 2025 · Frontend Development

Kuaishou Mini‑Program Simulator: 3× Faster After Performance Optimizations

Facing slow startup and low first‑contentful‑paint rates, Kuaishou’s development team overhauled the mini‑program simulator by consolidating its dual‑process architecture, introducing container caching, implementing on‑demand compilation, and refining debugger interactions, ultimately boosting instant‑open rates from 18% to 64% and reducing FCP P90 from 4.4 s to 1.9 s.

KuaishouMini ProgramSimulator
0 likes · 12 min read
Kuaishou Mini‑Program Simulator: 3× Faster After Performance Optimizations
Kuaishou Tech
Kuaishou Tech
Jan 17, 2025 · Artificial Intelligence

Kuaishou Achieves 7 Papers Accepted at AAAI 2025

Kuaishou has achieved a significant milestone with 7 papers accepted at AAAI 2025, covering diverse AI research areas including video processing, recommendation systems, and image restoration, demonstrating the company's strong research capabilities in artificial intelligence.

AAAI 2025Artificial IntelligenceImage Restoration
0 likes · 10 min read
Kuaishou Achieves 7 Papers Accepted at AAAI 2025
Kuaishou Tech
Kuaishou Tech
Dec 17, 2024 · Artificial Intelligence

NeurIPS 2024 Auto‑Bidding in Large‑Scale Auctions: Kuaishou Team Wins Both General and AIGB Tracks

The NeurIPS 2024 Auto‑Bidding competition attracted over 15,000 submissions and 1,500 teams, featuring two tracks—General and AI‑Generated Bidding—where Kuaishou’s commercial algorithm team secured first place in both by leveraging reinforcement‑learning‑based online exploration and a decision‑transformer‑driven generative approach, achieving more than a 5% lift in ad revenue.

AdvertisingGenerative ModelsKuaishou
0 likes · 13 min read
NeurIPS 2024 Auto‑Bidding in Large‑Scale Auctions: Kuaishou Team Wins Both General and AIGB Tracks
Kuaishou Tech
Kuaishou Tech
Dec 11, 2024 · Frontend Development

Performance Governance and Optimization of Kuaishou Commercial Frontend Pages

This article presents a comprehensive analysis of page performance issues across Kuaishou's commercial front‑end projects, outlines the challenges of unified governance, B‑end experience measurement, and C‑end web‑native integration, and details the systematic optimization strategies and measurable results that significantly improved user experience and business metrics.

KuaishouMetricsWeb
0 likes · 23 min read
Performance Governance and Optimization of Kuaishou Commercial Frontend Pages
DataFunSummit
DataFunSummit
Dec 8, 2024 · Artificial Intelligence

Intelligent Business Intelligence at Kuaishou: Architecture, Challenges, and Solutions

This article presents Kuaishou's data platform and BI system, describing its evolution from traditional reporting to AI‑driven intelligent analytics, the challenges of diverse user needs and data quality, and the controllable, trustworthy, and feasible solutions that enable large‑scale smart BI deployment.

Artificial IntelligenceBIBig Data
0 likes · 14 min read
Intelligent Business Intelligence at Kuaishou: Architecture, Challenges, and Solutions
Kuaishou Tech
Kuaishou Tech
Nov 30, 2024 · Artificial Intelligence

Kuaishou and Tsinghua University Win First Prize in Qian Weichang Chinese Information Processing Award for Content Recommendation Technology

Kuaishou and Tsinghua University were honored with the first‑place Qian Weichang Chinese Information Processing Science and Technology Award for their collaborative content recommendation project, which achieved international‑level innovations in explainable recommendation, bias correction, and edge intelligence, and has been applied widely in Kuaishou's platform and top academic conferences.

Artificial IntelligenceFairnessKuaishou
0 likes · 5 min read
Kuaishou and Tsinghua University Win First Prize in Qian Weichang Chinese Information Processing Award for Content Recommendation Technology
Kuaishou Tech
Kuaishou Tech
Nov 27, 2024 · Artificial Intelligence

AI‑Driven User Experience Optimization in Kuaishou E‑commerce: Evolution, Practices, and Future Outlook

This article examines how Kuaishou’s e‑commerce platform leverages AI to analyze and improve B‑side user experience, detailing current challenges, the CPS metric model, a self‑built intelligent inspection platform, workflow automation, and future prospects for AI‑driven UX optimization.

AIIntelligent InspectionKuaishou
0 likes · 17 min read
AI‑Driven User Experience Optimization in Kuaishou E‑commerce: Evolution, Practices, and Future Outlook
DataFunSummit
DataFunSummit
Nov 25, 2024 · Big Data

Kuaishou Big Data Analytics Practices Driven by NoETL

This article presents Kuaishou's big‑data analytics system, describing its current capabilities, the pain points of traditional ETL workflows, the NoETL concept, the implementation of a metric‑center platform, and practical features such as custom fields, automated modeling and acceleration, followed by future plans and a Q&A session.

Automated ModelingBig DataCustom Fields
0 likes · 20 min read
Kuaishou Big Data Analytics Practices Driven by NoETL
DataFunSummit
DataFunSummit
Oct 26, 2024 · Big Data

Kuaishou Metric Middle Platform: Design, Architecture, and Practices

This article presents Kuaishou's metric middle platform, detailing its background, design principles, architecture, metric management, data modeling, unified analysis language OAX, federated query engine OCTO, acceleration strategies, and future directions, illustrating how it improves data quality, development efficiency, and analytical capabilities at scale.

AnalyticsBig DataData Platform
0 likes · 64 min read
Kuaishou Metric Middle Platform: Design, Architecture, and Practices
Kuaishou Tech
Kuaishou Tech
Jul 31, 2024 · Artificial Intelligence

Kuaishou Showcases AI‑Driven Multimedia Innovations at China Multimedia 2024

At the China Multimedia 2024 conference in Yinchuan, Kuaishou presented its latest AI‑driven large‑model technologies—including text‑to‑image, text‑to‑video, and audio models—alongside advances in intelligent video coding, a new research‑fund initiative, and recent industry awards.

AIKuaishouMultimedia
0 likes · 5 min read
Kuaishou Showcases AI‑Driven Multimedia Innovations at China Multimedia 2024
DataFunTalk
DataFunTalk
Jul 27, 2024 · Big Data

Design and Implementation of Kuaishou's Metric Middle Platform

This article presents Kuaishou's metric middle platform, detailing its background, design principles, metric management and service architecture, including headless BI concepts, unified analysis language OAX, query engine OCTO, data modeling layers, acceleration strategies, and future directions toward intelligence and high performance.

Big DataHeadless BIKuaishou
0 likes · 19 min read
Design and Implementation of Kuaishou's Metric Middle Platform
Big Data Technology & Architecture
Big Data Technology & Architecture
Jul 1, 2024 · Big Data

Applying Data Lake (Hudi) at Kuaishou: Architecture Evolution, Use Cases, and Practice

This article details Kuashou's journey of adopting the Hudi data lake, covering business challenges, migration from Hive to Hudi, architectural redesign, promotion strategy, real‑world use cases such as CDC sync and batch‑stream integration, and key lessons learned for large‑scale data engineering.

Big Data ArchitectureHudiKuaishou
0 likes · 11 min read
Applying Data Lake (Hudi) at Kuaishou: Architecture Evolution, Use Cases, and Practice
Kuaishou Tech
Kuaishou Tech
Jun 11, 2024 · Artificial Intelligence

Kuaishou at CVPR 2024: Invitation, Schedule, and Selected Papers

Kuaishou invites attendees to its CVPR 2024 presence in Seattle, featuring an elite dinner, booth talks, tech talks, and a showcase of eight accepted papers covering video quality assessment, image generation, and multimodal AI, with detailed schedules, authors, and presentation locations, plus recruitment opportunities.

CVPRKuaishou
0 likes · 8 min read
Kuaishou at CVPR 2024: Invitation, Schedule, and Selected Papers
Kuaishou Tech
Kuaishou Tech
May 20, 2024 · Artificial Intelligence

Kuaishou’s AI XiaoKuai: Technical Innovations Behind the Consumer‑Entertainment Assistant

The article reviews the evolution of large‑model technology, details Kuaishou’s self‑developed “Kuaishou Yi” model architecture, data pipeline, evaluation benchmarks, and explains how the AI XiaoKuai assistant achieves multimodal, personable interactions while also announcing related recruitment opportunities.

AI AssistantDialogue SystemsKuaishou
0 likes · 10 min read
Kuaishou’s AI XiaoKuai: Technical Innovations Behind the Consumer‑Entertainment Assistant
Kuaishou Frontend Engineering
Kuaishou Frontend Engineering
May 15, 2024 · Mobile Development

Why iOS App Storage Size Mismatches System Settings and How Kuaishou Fixed It

This article investigates why the storage size shown inside iOS apps often differs from the total size displayed in the iPhone Settings, analyzes four main causes—including app bundle size, binary vs decimal units, measurement scope, and cache path handling—and demonstrates how Kuaishou aligned its storage reporting with the system through experiments and code changes.

KuaishouMobile Developmentfile system
0 likes · 13 min read
Why iOS App Storage Size Mismatches System Settings and How Kuaishou Fixed It
DataFunSummit
DataFunSummit
May 8, 2024 · Artificial Intelligence

Kuaishou’s Practices for Large‑Scale Model Data Processing and Storage

This article shares Kuaishou’s real‑time, massive‑scale model data processing pipeline, covering model scenarios, recommendation workflow complexity, large‑scale data storage, streaming joins, feature computation, NVM‑based storage solutions, strong consistency mechanisms, and future outlook for AI recommendation systems.

AIKuaishouNVM storage
0 likes · 16 min read
Kuaishou’s Practices for Large‑Scale Model Data Processing and Storage
DataFunTalk
DataFunTalk
Apr 18, 2024 · Information Security

Kuaishou Big Data Security Platform: Architecture, Governance, and Practices

This article details Kuaishou's large‑scale data security platform, covering its background, architectural layers, authentication and permission models, full‑link audit, data classification and protection mechanisms, operational results, future road‑maps, and a Q&A session on practical challenges.

Kuaishouauditbig data security
0 likes · 14 min read
Kuaishou Big Data Security Platform: Architecture, Governance, and Practices
DataFunTalk
DataFunTalk
Mar 30, 2024 · Artificial Intelligence

Reinforcement Learning and Multi‑Task Recommendation: Two‑Stage Constrained Actor‑Critic and Multi‑Task RL Approaches at Kuaishou

This talk presents Kuaishou's research on combining reinforcement learning with multi‑task recommendation, detailing a two‑stage constrained actor‑critic method for short‑video ranking, a multi‑task RL framework, experimental results on offline and online systems, and practical Q&A insights.

KuaishouReinforcement Learningactor-critic
0 likes · 18 min read
Reinforcement Learning and Multi‑Task Recommendation: Two‑Stage Constrained Actor‑Critic and Multi‑Task RL Approaches at Kuaishou
DataFunSummit
DataFunSummit
Mar 21, 2024 · Big Data

Kuaishou Analytics Service 3.0: Architecture, Evolution, and Practice

This article presents Kuaishou's end‑to‑end analytics platform, detailing the evolution from the early tool‑based stage through Service 1.0 and 2.0 to the unified Service 3.0 architecture, its unified analysis and query engines, data acceleration techniques, performance gains, and future intelligent analytics roadmap.

KuaishouUnified Engineanalytics platform
0 likes · 16 min read
Kuaishou Analytics Service 3.0: Architecture, Evolution, and Practice
Kuaishou Tech
Kuaishou Tech
Mar 9, 2024 · Artificial Intelligence

Kuaishou Launches Future High-Tech Video Intelligence Innovation Center Showcasing AI, Codec, and Transmission Advances

On March 1, Kuaishou hosted the launch of the Future High-Tech Video Intelligence Innovation Center in Beijing, highlighting collaborations with leading universities, breakthroughs in video codecs, a new transmission protocol, 6DoF video, digital humans, and large AI models that aim to drive industry-wide digital and intelligent transformation.

Innovation CenterKuaishouVideo AI
0 likes · 10 min read
Kuaishou Launches Future High-Tech Video Intelligence Innovation Center Showcasing AI, Codec, and Transmission Advances
DataFunSummit
DataFunSummit
Feb 16, 2024 · Artificial Intelligence

Design and Application of Kuaishou's Dragonfly Strategy Engine Framework

This article explains how Kuaishou tackled the growing complexity of its recommendation system by developing the Dragonfly strategy engine framework, detailing the challenges, architectural abstractions, DSL-based workflow composition, data handling, ecosystem tools, and future development plans.

Backend ArchitectureDSLKuaishou
0 likes · 19 min read
Design and Application of Kuaishou's Dragonfly Strategy Engine Framework
DataFunTalk
DataFunTalk
Feb 7, 2024 · Big Data

Kuaishou's Practices for Large‑Scale Model Data Processing, Real‑Time Feature Handling, and Storage

This article presents Kuaishou's end‑to‑end engineering solutions for handling massive, real‑time recommendation model data, covering scenario description, complex business pipelines, trillion‑parameter model storage, high‑throughput processing with Flink and NVM, and future directions for cloud‑native scalability.

KuaishouNVM storagelarge-scale models
0 likes · 15 min read
Kuaishou's Practices for Large‑Scale Model Data Processing, Real‑Time Feature Handling, and Storage
DataFunTalk
DataFunTalk
Feb 4, 2024 · Artificial Intelligence

Applying Causal Inference Techniques to Short‑Video Recommendation at Kuaishou

This article presents how causal inference methods are applied to Kuaishou’s single‑column short‑video recommendation, covering the platform’s recommendation scenario, model representations, duration bias mitigation, viewing‑time prediction techniques such as D2Q and TPM, experimental results, and future research directions.

Kuaishoucausal inferenceduration bias
0 likes · 19 min read
Applying Causal Inference Techniques to Short‑Video Recommendation at Kuaishou
Sohu Tech Products
Sohu Tech Products
Dec 20, 2023 · Backend Development

Design and Application of the Dragonfly Strategy Engine Framework at Kuaishou

Kuaishou’s Dragonfly framework replaces tightly‑coupled C++ recommendation code with a Python‑centric DSL that compiles to high‑performance JSON, offering DAG‑based operators, schema‑free dataframes, and a full ecosystem of debugging, tracing, and governance tools, dramatically cutting code volume while enabling fast, scalable scenario development.

Backend ArchitectureDSLData Abstraction
0 likes · 20 min read
Design and Application of the Dragonfly Strategy Engine Framework at Kuaishou
DataFunTalk
DataFunTalk
Dec 16, 2023 · Backend Development

Designing and Applying the Dragonfly Strategy Engine at Kuaishou to Tackle Complex Recommendation System Challenges

This article describes how Kuaishou built the Dragonfly strategy engine framework—covering problem analysis, architecture design, DSL-based workflow orchestration, process and data abstractions, ecosystem tools, and future plans—to solve the scalability, coupling, and maintenance issues of its rapidly expanding recommendation services.

Backend ArchitectureDSLDragonfly
0 likes · 18 min read
Designing and Applying the Dragonfly Strategy Engine at Kuaishou to Tackle Complex Recommendation System Challenges
DataFunSummit
DataFunSummit
Nov 24, 2023 · Artificial Intelligence

Cold-Start Content Recommendation Practices at Kuaishou

This article describes Kuaishou's approach to cold-start content recommendation, outlining the problems addressed, challenges in modeling sparse new videos, and solutions including graph neural networks, I2U retrieval, TDM hierarchical retrieval, bias correction, and future research directions.

Bias CorrectionGraph Neural NetworkKuaishou
0 likes · 19 min read
Cold-Start Content Recommendation Practices at Kuaishou
Kuaishou Tech
Kuaishou Tech
Nov 21, 2023 · Artificial Intelligence

Kuaishou Academic Forum on Cutting-Edge Short Video Recommendation Algorithms (Nov 23, 2023)

The Kuaishou Academic Forum held on November 23 in Beijing presented cutting‑edge research on short‑video recommendation algorithms, featuring talks on reinforcement learning, user interest modeling, graph neural networks, and a comprehensive recommender‑system simulator, while also offering registration details and a brief company overview.

KuaishouReinforcement Learningacademic forum
0 likes · 5 min read
Kuaishou Academic Forum on Cutting-Edge Short Video Recommendation Algorithms (Nov 23, 2023)
DataFunSummit
DataFunSummit
Oct 28, 2023 · Artificial Intelligence

Kuaishou 3D Digital Human Live Streaming and Interactive Solution

The presentation outlines Kuaishou’s end‑to‑end 3D digital‑human live‑streaming and virtual‑world interaction solution, detailing the KMIP PaaS platform, KVS software, SDK integrations, cloud rendering architecture, AI‑driven asset management, motion‑capture techniques, real‑world deployments and future growth prospects.

3D digital humanAIKMIP
0 likes · 19 min read
Kuaishou 3D Digital Human Live Streaming and Interactive Solution
Laravel Tech Community
Laravel Tech Community
Oct 26, 2023 · Cloud Native

How Kuaishou Scales Live E‑commerce Flash Sales with an Elastic Container Cloud and Hybrid Cloud Architecture

To handle billions of daily users and massive flash‑sale spikes in its live‑ecommerce streams, Kuaishou built a large‑scale elastic container cloud, integrated with Alibaba Cloud in a hybrid‑cloud setup, employing load balancing, caching, message queues, rate‑limiting, and intelligent resource scheduling to achieve million‑request‑per‑second throughput and high availability.

KuaishouLive E‑commerceelastic container cloud
0 likes · 8 min read
How Kuaishou Scales Live E‑commerce Flash Sales with an Elastic Container Cloud and Hybrid Cloud Architecture
Kuaishou Tech
Kuaishou Tech
Oct 25, 2023 · Cloud Computing

Kuaishou’s Hybrid Cloud Architecture for High‑Concurrency Live‑Ecommerce Flash Sales

The article describes how Kuaishou handles massive live‑streaming flash‑sale traffic by employing a distributed system, elastic Docker‑based container cloud, and a hybrid IDC‑Alibaba Cloud architecture that automatically scales resources to sustain millions of requests per second with high availability.

KuaishouLive E‑commercecontainer cloud
0 likes · 7 min read
Kuaishou’s Hybrid Cloud Architecture for High‑Concurrency Live‑Ecommerce Flash Sales
Kuaishou Tech
Kuaishou Tech
Oct 16, 2023 · Artificial Intelligence

Top 5 CIKM 2023 Papers on Recommender Systems, Search & Datasets

The article highlights five CIKM 2023 papers covering a lightweight model‑compression framework for recommender systems, a query‑dominant user‑interest network for large‑scale search ranking, a causal watch‑time labeling approach for short‑video recommendation, implicit negative‑feedback optimization for short‑video feeds, and the KuaiSAR unified search‑and‑recommendation dataset, each with download links, author lists, and key findings.

DatasetKuaishoumodel compression
0 likes · 12 min read
Top 5 CIKM 2023 Papers on Recommender Systems, Search & Datasets
DataFunTalk
DataFunTalk
Oct 11, 2023 · Artificial Intelligence

Kuaishou Content Cold-Start Recommendation: Challenges, Modeling Solutions, and Future Directions

This article presents Kuaishou's approach to solving the content cold-start problem by analyzing its impact on video growth, detailing the challenges of sparse and biased training data, and describing a suite of graph‑neural‑network, I2U/U2I, TDM, and debiasing techniques that improve early video exposure and long‑term ecosystem health.

Graph Neural NetworkI2UKuaishou
0 likes · 18 min read
Kuaishou Content Cold-Start Recommendation: Challenges, Modeling Solutions, and Future Directions
Kuaishou Tech
Kuaishou Tech
Apr 22, 2023 · Artificial Intelligence

Reinforcement Learning for User Retention (RLUR) in Short Video Recommendation Systems

This paper presents RLUR, a reinforcement‑learning algorithm that models user‑retention optimization as an infinite‑horizon request‑based Markov Decision Process, addressing uncertainty, bias, and delayed reward challenges to directly improve retention, DAU, and engagement in short‑video recommendation platforms.

KuaishouRLURReinforcement Learning
0 likes · 8 min read
Reinforcement Learning for User Retention (RLUR) in Short Video Recommendation Systems
DataFunSummit
DataFunSummit
Mar 24, 2023 · Big Data

Kuaishou Metric Middle Platform: Development Journey, Architecture, and Practices

This article summarizes the Kuaishou Data Platform’s metric middle‑platform sharing from the 2022 DataFun forum, detailing its three‑year evolution, key concepts, architectural design, implementation challenges, and practical lessons for building an enterprise‑grade metric platform that unifies data definition, production, and consumption across the company.

AnalyticsKuaishoumetric governance
0 likes · 20 min read
Kuaishou Metric Middle Platform: Development Journey, Architecture, and Practices
DataFunSummit
DataFunSummit
Mar 18, 2023 · Big Data

Kuaishou Metric Middle Platform: Architecture, Standardization, and Core Technologies

This article presents Kuaishou's metric middle platform, detailing its three‑year evolution, unified semantic layer design, metric standardization workflow, core technologies such as Headless BI, automated modeling, and a unified metric service, and outlines future directions and a Q&A session.

Automated ModelingData StandardizationHeadless BI
0 likes · 18 min read
Kuaishou Metric Middle Platform: Architecture, Standardization, and Core Technologies
Kuaishou Tech
Kuaishou Tech
Feb 10, 2023 · Artificial Intelligence

Seven Kuaishou Papers Accepted at WWW 2023 on Reinforcement Learning and Recommendation Systems

On January 25, Kuaishou’s community science team announced that seven of its papers were accepted at the ACM Web Conference 2023 (WWW’23), covering reinforcement‑learning‑based user retention, constrained actor‑critic recommendation, divide‑and‑conquer embedding retrieval, causal embedding with contrastive learning, latent action space exploration, dual‑interest factorization attention, and multi‑task reinforcement learning for recommendation.

AIKuaishouReinforcement Learning
0 likes · 17 min read
Seven Kuaishou Papers Accepted at WWW 2023 on Reinforcement Learning and Recommendation Systems
Kuaishou Big Data
Kuaishou Big Data
Feb 3, 2023 · Big Data

Inside Kuaishou’s Company‑Wide Metric Platform: Architecture, Lessons & Best Practices

This article details Kuaishou’s three‑year evolution of its metric middle platform, covering the data infrastructure, key challenges of data inconsistency and low analysis efficiency, the enterprise‑level OneMetric solution, architectural design, development phases, practical lessons, system implementation, and real‑world applications.

Big DataKuaishoudata engineering
0 likes · 23 min read
Inside Kuaishou’s Company‑Wide Metric Platform: Architecture, Lessons & Best Practices
Kuaishou Tech
Kuaishou Tech
Jan 17, 2023 · Cloud Native

Kuaishou Container Cloud Platform Enhances Image Distribution with Dragonfly and Nydus

Kuaishou's container cloud platform tackled the challenge of large‑scale, stable image distribution by integrating Dragonfly and its Nydus subproject, achieving over 70% bandwidth relief, 90% pull‑time reduction, and seamless migration to containerd, thereby supporting billions of monthly users with high efficiency.

DragonflyImage DistributionKuaishou
0 likes · 7 min read
Kuaishou Container Cloud Platform Enhances Image Distribution with Dragonfly and Nydus
DataFunTalk
DataFunTalk
Dec 4, 2022 · Artificial Intelligence

Kuaishou Virtual World Interaction Platform (KMIP): Technical Overview, Architecture, and Application Cases

This article presents a comprehensive technical overview of Kuaishou's Virtual World Interaction Platform (KMIP), detailing its background, platform and software solutions—including KVS and KFC—its layered architecture, key features, real‑world case studies, and future outlook for immersive virtual interactions.

AIKuaishouVirtual World
0 likes · 12 min read
Kuaishou Virtual World Interaction Platform (KMIP): Technical Overview, Architecture, and Application Cases
DataFunTalk
DataFunTalk
Oct 29, 2022 · Artificial Intelligence

Uplift Modeling: Quantifying Heterogeneous Treatment Effects at Kuaishou

This article introduces Kuaishou's exploration of uplift modeling for estimating heterogeneous treatment effects, discusses practical challenges such as continuous treatment variables and statistical inference for nonlinear models, presents a dual‑neural‑network solution with evaluation metrics, and showcases applications in fan growth and push notifications.

Dual Neural NetworkKuaishoucontinuous treatment
0 likes · 14 min read
Uplift Modeling: Quantifying Heterogeneous Treatment Effects at Kuaishou
Kuaishou Large Model
Kuaishou Large Model
Sep 30, 2022 · Artificial Intelligence

Virtual Digital Humans: Trends, Challenges, and the Future of AI Avatars

The article explores the rapid evolution of virtual digital humans, highlighting recent innovations, industry applications like Kuaishou's V‑Star program, academic research breakthroughs, and the technical and commercial challenges that must be overcome for these AI‑driven avatars to become mainstream.

AIAR/VRKuaishou
0 likes · 8 min read
Virtual Digital Humans: Trends, Challenges, and the Future of AI Avatars
DataFunSummit
DataFunSummit
Sep 12, 2022 · Artificial Intelligence

Graph Network Data in Trend‑Driven Video Production on Kuaishou: Concepts, Applications, and Frequency Illusion

This article explains the fundamentals of graph networks, their use in Kuaishou’s short‑video ecosystem for community detection, trend‑driven content creation, and causal inference, and describes how key network nodes and frequency‑illusion effects are leveraged to boost user engagement and content virality.

Kuaishoucausal inferencefrequency illusion
0 likes · 14 min read
Graph Network Data in Trend‑Driven Video Production on Kuaishou: Concepts, Applications, and Frequency Illusion
DataFunTalk
DataFunTalk
Jul 5, 2022 · Artificial Intelligence

Identifying Viral Short‑Video Content on Kuaishou: Models, Features, and Engineering Framework

This article explains how Kuaishou detects and predicts viral short‑video素材 by defining content types, outlining essential viral elements, describing a two‑stage coarse‑recall and fine‑ranking model that combines speed‑based features, Gaussian mixture modeling, and a lightweight DNN, and showcases real‑world case studies and Q&A.

Kuaishoumachine learningrecommendation system
0 likes · 14 min read
Identifying Viral Short‑Video Content on Kuaishou: Models, Features, and Engineering Framework
ITPUB
ITPUB
Jun 27, 2022 · Big Data

How Kuaishou Guarantees Real‑Time Data Warehouse Performance at Billion‑Scale Events

This article details Kuaishou's real‑time data warehouse architecture, the business challenges of massive traffic and diverse requirements, and the forward‑ and reverse‑assurance strategies—including lifecycle standards, monitoring, fault‑injection testing, and a Spring Festival case study—that together ensure high stability, low latency, and sub‑0.5% accuracy for billion‑scale streaming workloads.

Fault InjectionFlink streamingKuaishou
0 likes · 22 min read
How Kuaishou Guarantees Real‑Time Data Warehouse Performance at Billion‑Scale Events
Kuaishou Large Model
Kuaishou Large Model
May 27, 2022 · Mobile Development

How Kuaishou Optimizes Mobile AI Effects with Dynamic Device Grading

To ensure consistent user experience across the wide range of Android and iOS devices, Kuaishou’s Y‑tech team designed a dynamic model‑grading framework that evaluates CPU, GPU, NPU, memory and other hardware metrics, then dispatches appropriately sized AI effect models and configurations in real time.

AndroidKuaishouMobile AI
0 likes · 12 min read
How Kuaishou Optimizes Mobile AI Effects with Dynamic Device Grading
DataFunSummit
DataFunSummit
May 26, 2022 · Artificial Intelligence

Exploring Contrastive Learning in Kuaishou Recommendation Systems

This article presents a comprehensive overview of how contrastive learning can alleviate data sparsity and distribution bias in recommendation systems, detailing its theoretical advantages, recent research progress in computer vision and NLP, and a multi‑task self‑supervised framework applied to Kuaishou's short‑video ranking pipeline with significant offline and online performance gains.

AIKuaishoubias mitigation
0 likes · 21 min read
Exploring Contrastive Learning in Kuaishou Recommendation Systems
Kuaishou Tech
Kuaishou Tech
Apr 21, 2022 · Artificial Intelligence

BodyDance: Kuaishou Y‑Tech’s One‑Shot Human Motion Transfer Technology

BodyDance is Kuaishou Y‑Tech’s self‑developed human motion transfer system that converts a single static portrait into a dancing video using 3D pose reconstruction, semantic parsing, and style‑based generation, achieving high‑quality results without online finetuning and outperforming existing methods in realism, hand fidelity, and speed.

3D pose reconstructionKuaishouhuman motion transfer
0 likes · 9 min read
BodyDance: Kuaishou Y‑Tech’s One‑Shot Human Motion Transfer Technology
DataFunTalk
DataFunTalk
Apr 12, 2022 · Big Data

Kuaishou Big Data Task Scheduling System: Architecture, Challenges, and Key Technologies

This article presents Kuaishou's large‑scale big‑data task scheduling system, describing its evolution from Airflow to the self‑developed Kwaiflow, the performance and reliability challenges of handling hundreds of thousands of tasks, and the design decisions that achieve low latency, high availability, and strong open capabilities.

Distributed SystemsKuaishouKwaiflow
0 likes · 22 min read
Kuaishou Big Data Task Scheduling System: Architecture, Challenges, and Key Technologies
Kuaishou Tech
Kuaishou Tech
Apr 11, 2022 · Artificial Intelligence

Kuaishou's Custom Video Matting Solution: Interactive Object Segmentation for Mobile Creators

Kuaishou's audio‑video technology team presents a self‑developed custom video matting system that combines foreground, interactive, and video object segmentation to let creators extract arbitrary subjects without green screens, featuring adaptive cropping, multi‑stage training, and deployment across Android and iOS devices.

Computer VisionDeep LearningKuaishou
0 likes · 15 min read
Kuaishou's Custom Video Matting Solution: Interactive Object Segmentation for Mobile Creators
DataFunSummit
DataFunSummit
Apr 2, 2022 · Artificial Intelligence

Graph-Based I2I Recall for Short Video Recommendation at Kuaishou

This article presents Kuaishou's graph‑based item‑to‑item (I2I) recall pipeline for short‑video recommendation, detailing the business challenges, pipeline architecture, optimization techniques such as similarity‑measure tricks, graph structure learning, edge‑weight learning, and future research directions.

AIEmbeddingGraph Neural Network
0 likes · 16 min read
Graph-Based I2I Recall for Short Video Recommendation at Kuaishou
Kuaishou Tech
Kuaishou Tech
Mar 23, 2022 · Artificial Intelligence

Graph-Based I2I Recall for Short Video Recommendation at Kuaishou

This article explains how Kuaishou leverages graph neural networks for item‑to‑item (I2I) recall in short‑video recommendation, detailing the system background, pipeline architecture, optimization techniques such as similarity measurement, graph structure learning, edge‑weight learning, and future research directions.

AIEmbeddingI2I recall
0 likes · 17 min read
Graph-Based I2I Recall for Short Video Recommendation at Kuaishou
DataFunTalk
DataFunTalk
Mar 21, 2022 · Artificial Intelligence

Graph-Based I2I Recall for Short Video Recommendation at Kuaishou

This article presents Kuaishou's graph‑based item‑to‑item (I2I) recall pipeline for short‑video recommendation, detailing the business challenges, the advantages of graph neural networks, the system architecture, optimization techniques such as similarity metric refinement, graph structure learning, edge‑weight learning, and future research directions.

I2I recallKuaishoumachine learning
0 likes · 16 min read
Graph-Based I2I Recall for Short Video Recommendation at Kuaishou
DataFunSummit
DataFunSummit
Mar 12, 2022 · Artificial Intelligence

Evolution of Re‑ranking Techniques in Kuaishou Short‑Video Recommendation System

This article details Kuaishou's short‑video recommendation pipeline, explaining the challenges of large‑scale sequencing, the development of sequence re‑ranking, multi‑content mixing, on‑device re‑ranking, and reinforcement‑learning‑based strategies, and demonstrates how these innovations improve user engagement and business metrics.

KuaishouReinforcement Learningmulti-content mixing
0 likes · 15 min read
Evolution of Re‑ranking Techniques in Kuaishou Short‑Video Recommendation System
Kuaishou Tech
Kuaishou Tech
Mar 11, 2022 · Artificial Intelligence

High‑Precision Low‑Latency Intelligent Danmu Blocking Solution for Kuaishou Video

The Kuaishou audio‑video team designed a high‑precision, low‑latency intelligent danmu‑blocking system that uses advanced image‑segmentation and temporal‑stability techniques to generate accurate masks, improve scene robustness, eliminate mask delay, and enhance user experience across diverse video content.

AIKuaishoudanmu blocking
0 likes · 10 min read
High‑Precision Low‑Latency Intelligent Danmu Blocking Solution for Kuaishou Video
DataFunSummit
DataFunSummit
Mar 10, 2022 · Artificial Intelligence

Applying Causal Inference to Debias Recommendation Systems at Kuaishou

This talk explores how causal inference techniques are used to identify and mitigate various biases in Kuaishou's recommendation pipeline, covering background theory, recent research advances, practical implementations for popularity and video completion debiasing, and reflections on challenges and future directions.

AIKuaishoubias debiasing
0 likes · 19 min read
Applying Causal Inference to Debias Recommendation Systems at Kuaishou
Kuaishou Large Model
Kuaishou Large Model
Mar 4, 2022 · Artificial Intelligence

How Adaptive 3D Face Cutout Transforms Kuaishou’s AR Effects

This article explains the adaptive 3D face cutout technology behind Kuaishou's "3D Zoom Face" effect, detailing its problem‑solving approach, implementation workflow, camera‑control optimizations, and how it expands creative possibilities while lowering production costs for both creators and users.

3D renderingAR effectsComputer Vision
0 likes · 16 min read
How Adaptive 3D Face Cutout Transforms Kuaishou’s AR Effects
Kuaishou Tech
Kuaishou Tech
Feb 24, 2022 · Artificial Intelligence

Causal Inference for Bias Mitigation in Kuaishou Recommendation Systems

This article presents a comprehensive overview of how causal inference techniques are applied to identify and correct various biases in Kuaishou's recommendation pipeline, covering background theory, recent research, practical implementations such as popularity debias, causal embedding decoupling, and video completion‑rate debias, along with experimental results and future challenges.

EmbeddingKuaishoubias mitigation
0 likes · 19 min read
Causal Inference for Bias Mitigation in Kuaishou Recommendation Systems
DataFunTalk
DataFunTalk
Feb 21, 2022 · Artificial Intelligence

Causal Inference for Bias Mitigation in Kuaishou Recommendation Systems

This talk explains how recommendation bias arises from popularity and position effects, introduces causal inference concepts and three inference levels, reviews recent research such as DICE and Huawei’s causal embedding, and details Kuaishou’s practical applications—including popularity debias, causal representation decoupling, and video completion‑rate debias—along with experimental results and future challenges.

Kuaishoubias mitigationmachine learning
0 likes · 20 min read
Causal Inference for Bias Mitigation in Kuaishou Recommendation Systems
DataFunTalk
DataFunTalk
Feb 13, 2022 · Big Data

How Kuaishou Built a Standardized Data Governance Evaluation System

This article outlines Kuaishou’s approach to establishing a standardized data governance evaluation framework, detailing the challenges of large‑scale data management, the design of assessment metrics across model, quality, and cost dimensions, and the practical strategies and operational mechanisms used to improve data asset health and business value.

Big DataEvaluation FrameworkKuaishou
0 likes · 21 min read
How Kuaishou Built a Standardized Data Governance Evaluation System
DataFunTalk
DataFunTalk
Feb 10, 2022 · Artificial Intelligence

Evolution of Re‑ranking Techniques in Kuaishou Short‑Video Recommendation System

This article details the technical evolution of Kuaishou's short‑video recommendation pipeline, focusing on sequence re‑ranking, multi‑content mixing, and on‑device re‑ranking, and explains how transformer‑based models, generator‑evaluator frameworks, and reinforcement‑learning strategies are employed to maximize overall sequence value, user engagement, and revenue.

KuaishouReinforcement LearningSequence Modeling
0 likes · 15 min read
Evolution of Re‑ranking Techniques in Kuaishou Short‑Video Recommendation System
Kuaishou Tech
Kuaishou Tech
Feb 9, 2022 · Mobile Development

Kuaishou Mobile Mixed Reality System: Architecture, Algorithms, and Applications

This article presents Kuaishou's mobile mixed reality (MR) system, detailing its integration of deep learning, SLAM, and scene reconstruction for real‑time spatial computing, the design of a monocular depth‑estimation model, a lightweight 3D rendering engine, and its deployment across iOS and Android devices with various user‑facing effects.

Computer VisionDepth estimationKuaishou
0 likes · 16 min read
Kuaishou Mobile Mixed Reality System: Architecture, Algorithms, and Applications
Kuaishou Tech
Kuaishou Tech
Feb 7, 2022 · Artificial Intelligence

Kuaishou Audio Team Wins ICASSP 2022 AEC Challenge Runner‑up and Publishes Two Deep Noise Suppression Papers

The Kuaishou audio team achieved a world‑runner‑up in the ICASSP 2022 Acoustic Echo Cancellation Challenge and had two deep noise suppression papers accepted, showcasing a hybrid traditional‑signal‑processing and deep‑learning system that excels in echo removal, noise reduction, and speech recognition across multiple real‑time communication scenarios.

Acoustic Echo CancellationArtificial IntelligenceDeep Noise Suppression
0 likes · 7 min read
Kuaishou Audio Team Wins ICASSP 2022 AEC Challenge Runner‑up and Publishes Two Deep Noise Suppression Papers
Kuaishou Tech
Kuaishou Tech
Jan 27, 2022 · Artificial Intelligence

Kuaishou’s Self‑Developed Green‑Screen Matting Algorithm and Its Deployment in Kuaiying, Live Companion, and Cloud Editing

This article explains the principles, challenges, and implementation details of Kuaishou’s proprietary green‑screen matting algorithm, covering fine‑detail handling, color‑spill reduction, green‑reflection removal, and its real‑time deployment across mobile video‑editing and live‑streaming products.

Computer VisionKuaishouReal-time Processing
0 likes · 13 min read
Kuaishou’s Self‑Developed Green‑Screen Matting Algorithm and Its Deployment in Kuaiying, Live Companion, and Cloud Editing
Kuaishou Big Data
Kuaishou Big Data
Nov 26, 2021 · Big Data

How Kuaishou Built a Standardized Data Governance Evaluation System

This article explains Kuaishou's comprehensive approach to data governance, detailing the background challenges, a standardized evaluation framework, practical solutions for model, quality, and cost issues, scoring strategies, operational mechanisms, measurable benefits, and future plans for continuous improvement.

Cost OptimizationKuaishou
0 likes · 23 min read
How Kuaishou Built a Standardized Data Governance Evaluation System
Kuaishou Tech
Kuaishou Tech
Nov 26, 2021 · Artificial Intelligence

Kuaishou’s Special Short‑Video Transcoding Tier for Jackie Chan: Technical Overview and Quality Enhancements

Kuaishou’s audio‑video team built a dedicated high‑quality transcoding tier for Jackie Chan’s debut on the platform, deploying AI‑driven analysis, enhancement and compression techniques to deliver ultra‑clear short videos while keeping cost and latency low, and describing the end‑to‑end processing pipeline and trigger mechanisms.

AI AlgorithmsKuaishouVideo Transcoding
0 likes · 8 min read
Kuaishou’s Special Short‑Video Transcoding Tier for Jackie Chan: Technical Overview and Quality Enhancements
Kuaishou Audio & Video Technology
Kuaishou Audio & Video Technology
Nov 25, 2021 · Backend Development

How Kuaishou Delivered Ultra‑HD Video for Jackie Chan’s Short‑Video Debut

Kuashou’s audio‑video team built a custom short‑video transcoding tier that combines AI‑driven enhancement, aggressive compression and a specialized delivery strategy to meet billions of viewers’ high‑quality expectations for Jackie Chan’s debut, showcasing rapid cross‑team collaboration and advanced video processing techniques.

Backend EngineeringKuaishouVideo Transcoding
0 likes · 8 min read
How Kuaishou Delivered Ultra‑HD Video for Jackie Chan’s Short‑Video Debut
Kuaishou Big Data
Kuaishou Big Data
Oct 28, 2021 · Big Data

How Kuaishou Cut Object Storage Costs by 50% with LRC Erasure Coding

Kuaishou reduced half of its massive object storage expenses by redesigning its architecture to use HBase indexing, HDFS large‑file storage, MemoryCache, and a cross‑IDC LRC erasure‑coding warm layer that maintains disaster‑recovery while dynamically moving data from hot to warm to cold tiers.

Big DataKuaishouLRC
0 likes · 12 min read
How Kuaishou Cut Object Storage Costs by 50% with LRC Erasure Coding
Kuaishou Tech
Kuaishou Tech
Oct 28, 2021 · Artificial Intelligence

Kuaishou Showcases Multimedia Research at ACM MM2021 and Announces Strategic Collaboration with CCF‑MM Committee

At ACM MM2021 in Chengdu, Kuaishou presented two accepted papers on recommendation and outfit compatibility, won the Grand Challenge with its DAP congestion‑control system, and forged a strategic partnership with the CCF‑MM committee to deepen multimedia research collaboration across academia and industry.

ACM MM2021AI researchKuaishou
0 likes · 8 min read
Kuaishou Showcases Multimedia Research at ACM MM2021 and Announces Strategic Collaboration with CCF‑MM Committee
Java Architect Essentials
Java Architect Essentials
Sep 21, 2021 · Big Data

Interview on Kuaishou's Billion‑Scale Big Data Architecture Evolution and Practices

The interview with Kuaishou senior architect Zhao Jianbo details the three‑phase evolution of its trillion‑scale big data platform, covering foundational Hadoop services, real‑time and OLAP extensions, deep customizations, Spring Festival Gala challenges, scheduling innovations, Hadoop usage, and the relationship between big data and cloud architectures.

Big DataFlinkHadoop
0 likes · 19 min read
Interview on Kuaishou's Billion‑Scale Big Data Architecture Evolution and Practices
Kuaishou Audio & Video Technology
Kuaishou Audio & Video Technology
Sep 10, 2021 · Artificial Intelligence

How Kuaishou Boosts Short‑Video Quality with AI‑Driven Encoding and Enhancement

This article explores Kuaishou’s server‑side video pipeline, detailing why videos are re‑encoded, how AI‑based enhancement (De‑Art, SR, Deblur) and perceptual encoding techniques (CAQ, CARDO) improve subjective quality, reduce bitrate, and lower processing costs, while presenting algorithmic logic and real‑world results.

AI enhancementKuaishouencoding optimization
0 likes · 8 min read
How Kuaishou Boosts Short‑Video Quality with AI‑Driven Encoding and Enhancement
DataFunTalk
DataFunTalk
Sep 8, 2021 · Product Management

Building Effective Data Metric Systems: Theory, Methodology, and Kuaishou Spring Festival Case Study

This article explains why a robust data metric system is essential for business decision‑making, defines the characteristics of a good metric system, introduces the OSM framework for constructing such systems, and illustrates the approach with Kuaishou's Spring Festival campaign, highlighting practical outcomes and lessons learned.

Business AnalyticsKuaishouOSM framework
0 likes · 21 min read
Building Effective Data Metric Systems: Theory, Methodology, and Kuaishou Spring Festival Case Study
DataFunSummit
DataFunSummit
Sep 5, 2021 · Artificial Intelligence

Causal Inference and Experiment Design in Kuaishou Live Streaming: Methods and Case Studies

This article explains how Kuaishou applies causal inference frameworks, such as Rubin's potential outcomes and Pearl's causal graphs, together with machine‑learning techniques like double‑machine learning, causal forests, and meta‑learners to evaluate product features, recommendation strategies, and user behavior under complex network effects in live streaming.

A/B testingKuaishoucausal inference
0 likes · 14 min read
Causal Inference and Experiment Design in Kuaishou Live Streaming: Methods and Case Studies