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iQIYI Technical Product Team

The technical product team of iQIYI

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Latest from iQIYI Technical Product Team

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iQIYI Technical Product Team

Mar 8, 2024 · Big Data

Smooth Migration from Hive to Iceberg Data Lake at iQIYI: Architecture, Techniques, and Performance Evaluation

iQIYI migrated hundreds of petabytes of Hive tables to Apache Iceberg using dual‑write, in‑place, and CTAS strategies, combined with partition pruning, Bloom filters, and Trino/Alluxio optimizations, achieving up to 40% lower query latency, simplified pipelines, and faster, cost‑effective data lake operations.

HiveIcebergMigration

0 likes · 20 min read

Smooth Migration from Hive to Iceberg Data Lake at iQIYI: Architecture, Techniques, and Performance Evaluation

iQIYI Technical Product Team

Mar 1, 2024 · Artificial Intelligence

Advertising Data Characteristics and Sparse Large‑Model Practices at iQIYI

iQIYI’s ad ranking system replaces static, hash‑based embeddings with TFRA dynamic embeddings to efficiently handle massive sparse ID features, eliminates collisions and I/O bottlenecks, isolates memory during hot model swaps, enabling billion‑parameter models that boost revenue by 4.3 % while planning adaptive embedding sizes for future improvements.

AI recommendationAdvertisingSparse Embedding

0 likes · 10 min read

Advertising Data Characteristics and Sparse Large‑Model Practices at iQIYI

iQIYI Technical Product Team

Feb 8, 2024 · Mobile Development

Image Format Optimization and Deployment Practices at iQIYI: From JPG to AVIF

iQIYI optimized its app’s visual experience by progressively replacing JPG with WebP, HEIC, and finally AVIF—using a caplist‑driven CDN, self‑developed decoders and on‑demand production pipelines—to cut image sizes, reduce CDN bandwidth by over 30 % and maintain quality across static, transparent and animated assets.

AVIFCDNHEIC

0 likes · 19 min read

Image Format Optimization and Deployment Practices at iQIYI: From JPG to AVIF

iQIYI Technical Product Team

Feb 7, 2024 · Backend Development

Optimization of TV Streaming Service Architecture and Performance

The article describes how redesigning a TV streaming service from a single to a dual‑service architecture, leveraging Android Binder, optimized protocol startup, adaptive networking, and session‑based monitoring dramatically boosted stability above 99%, protocol success over 98.5%, and issue‑resolution efficiency via systematic batch analysis and A/B testing.

Android ServiceBackend DevelopmentIssue Resolution

0 likes · 11 min read

Optimization of TV Streaming Service Architecture and Performance

iQIYI Technical Product Team

Feb 2, 2024 · Information Security

iQIYI’s Proactive Compliance Risk Management Platform and Full‑Lifecycle Privacy Protection Solution Recognized as Outstanding Cases by MIIT

iQIYI's proactive compliance risk disposal platform and full‑lifecycle privacy protection scheme were recognized by MIIT as outstanding cases, showcasing engineering‑driven privacy integration across product development, release, and operation, improving compliance rates, reducing risks, and enhancing user experience while setting industry standards.

ComplianceData SecurityiQIYI

0 likes · 8 min read

iQIYI’s Proactive Compliance Risk Management Platform and Full‑Lifecycle Privacy Protection Solution Recognized as Outstanding Cases by MIIT

iQIYI Technical Product Team

Jan 19, 2024 · Backend Development

Design and Optimization of Distributed and Local Shared Variables for Strategy Engine Services

By introducing distributed and local shared variables that propagate user profiles via trace context and cache parallel requests, the iQIYI strategy engine cuts redundant DMP calls, reduces traffic up to 25%, lowers P99 latency by nearly 50%, and achieves a 90% cost saving compared to step‑function micro‑services.

CachingService MeshTraceability

0 likes · 19 min read

Design and Optimization of Distributed and Local Shared Variables for Strategy Engine Services

iQIYI Technical Product Team

Dec 29, 2023 · Frontend Development

Performance Optimization of H5 Pages on TV Devices: Challenges, Solutions, and Results

To address fragmented TV OS versions, low‑end hardware, and SDK fragmentation, the Kiwi App team defined unified performance metrics and applied optimizations—resource merging, server‑side rendering, offline caching, HTTP/2 networking, parallel loading, WebView pre‑heating, and page pre‑rendering—cutting average H5 load time from over five seconds to about two seconds and increasing conversion and payment success rates, with plans to keep loads under two seconds.

SSRTV DevicesWeb Performance

0 likes · 13 min read

Performance Optimization of H5 Pages on TV Devices: Challenges, Solutions, and Results

iQIYI Technical Product Team

Nov 24, 2023 · Frontend Development

Performance and Experience Optimization of H5 Special Topic Pages in Mobile App WebView

By implementing offline caching of libraries, template pre‑rendering, native player embedding, split‑screen loading, API slimming, WebP image delivery, and UI tweaks such as title‑bar customization, hide‑nav flags, pull‑to‑refresh, early background color and placeholder optimization, the H5 special‑topic pages in the mobile app WebView achieve up to 60 % faster first‑screen loads, dramatically lower network usage, and a smoother, more immersive user experience.

FrontendH5Mobile

0 likes · 10 min read

Performance and Experience Optimization of H5 Special Topic Pages in Mobile App WebView

iQIYI Technical Product Team

Nov 17, 2023 · Big Data

Mixed Workload Co-location of Big Data and Online Services at iQIYI: Design, Implementation, and Results

iQIYI’s mixed‑workload system colocates Spark/Hive big‑data jobs with online video services by running YARN NodeManagers inside Kubernetes, using an Elastic YARN Operator, Koordinator‑driven CPU oversubscription, and remote shuffle, boosting online CPU utilization from ~9 % to over 40 % and saving tens of millions of RMB annually.

Big DataCloud NativeKubernetes

0 likes · 19 min read

Mixed Workload Co-location of Big Data and Online Services at iQIYI: Design, Implementation, and Results

iQIYI Technical Product Team

Oct 20, 2023 · Artificial Intelligence

Evolution of Effectiveness Advertising Bidding Strategies: From Single to Adaptive Dual Bidding

The article traces the evolution of effectiveness‑advertising bidding—from simple single‑goal bids to weighted, Pareto‑optimal, and finally adaptive dual‑bidding models that integrate deep‑conversion estimators and a non‑linear control function, enabling platforms to balance shallow cost compliance with deep‑level outcomes such as retention and ROI.

Ad TechAdvertisingbidding

0 likes · 11 min read

Evolution of Effectiveness Advertising Bidding Strategies: From Single to Adaptive Dual Bidding