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iQIYI Technical Product Team
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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
iQIYI Technical Product Team
Oct 24, 2024 · Big Data

iQIYI Multi-AZ Unified Scheduling Architecture for Big Data

iQIYI’s Multi‑AZ unified scheduling architecture combines a unified storage layer (QBFS), an abstracted compute scheduler (QBCS), and a federated metadata service (Waggle Dance) to seamlessly route data and jobs across availability zones, cut storage costs up to 65 %, reduce overall big‑data workload expenses by more than 35 %, and lay the groundwork for future hybrid‑cloud expansion.

Compute SchedulingUnified Storagebig data
0 likes · 15 min read
iQIYI Multi-AZ Unified Scheduling Architecture for Big Data
iQIYI Technical Product Team
iQIYI Technical Product Team
Oct 10, 2024 · Artificial Intelligence

Online Deep Learning (ODL) for Real‑Time Advertising Effectiveness: Challenges and Solutions

iQIYI’s minute‑level online deep‑learning framework overcomes stability, timeliness, compatibility, delayed feedback, catastrophic forgetting, and i.i.d. constraints through high‑availability pipelines, TensorFlow Example serialization, rapid P2P model distribution, flexible scheduling, disaster‑recovery rollbacks, PU‑loss adjustment, and knowledge‑distillation, delivering a 6.2% revenue boost.

AdvertisingCTR predictionModel Serving
0 likes · 9 min read
Online Deep Learning (ODL) for Real‑Time Advertising Effectiveness: Challenges and Solutions
iQIYI Technical Product Team
iQIYI Technical Product Team
Sep 26, 2024 · Artificial Intelligence

AI-Powered Search in iQIYI: Techniques, Architecture, and Implementation

iQIYI’s AI‑powered search expands beyond title‑only queries by handling fuzzy role, plot, star, award, and semantic searches, using Chain‑of‑Thought‑generated TIPS, Retrieval‑Augmented Generation with sophisticated indexing, chunking, embedding, reranking, and prompt‑engineering to deliver personalized, accurate video recommendations that boost user engagement.

AI searchEmbeddingQuery Guidance
0 likes · 15 min read
AI-Powered Search in iQIYI: Techniques, Architecture, and Implementation
iQIYI Technical Product Team
iQIYI Technical Product Team
Sep 19, 2024 · Information Security

01 Background Introduction

The article introduces the concept of an egress gateway, explains why iQIYI’s member‑cooperation services require a unified outbound gateway to handle IP‑whitelisting and external access, critiques the limitations of an Nginx proxy, and describes adopting APISIX with security, traffic‑control plugins and a UI‑driven URL translation layer.

APISIXegress gatewaysecurity
0 likes · 13 min read
01 Background Introduction
iQIYI Technical Product Team
iQIYI Technical Product Team
Sep 12, 2024 · Artificial Intelligence

Intelligent Compute Allocation in Advertising: Value Quantification, Elastic Elimination, and Dynamic Optimization

iQIYI’s ad engine team introduced an intelligent compute allocation system that quantifies traffic value and unified compute cost, uses elastic elimination and a dynamic allocation framework to maximize revenue under fixed compute limits, delivering over 30% inventory growth, modest consumption rise, and near‑perfect availability.

OptimizationPID controldynamic allocation
0 likes · 11 min read
Intelligent Compute Allocation in Advertising: Value Quantification, Elastic Elimination, and Dynamic Optimization
iQIYI Technical Product Team
iQIYI Technical Product Team
Aug 30, 2024 · Mobile Development

Enhancing Hotfixes for QiYiGuo TV Using Robust and Plugin Mechanisms

To improve QiYiGuo TV’s rapid issue resolution, the team adopted Robust as the core hot‑fix engine and extended it with KRobust to handle reflection, Kotlin methods, enum‑switch mapping, and native‑library swaps, while building an automated deployment platform that now achieves over 95% fix rate and reduces average repair time from three days to under 24 hours across hundreds of channel APKs.

AndroidHotfixKotlin
0 likes · 16 min read
Enhancing Hotfixes for QiYiGuo TV Using Robust and Plugin Mechanisms
iQIYI Technical Product Team
iQIYI Technical Product Team
Jul 26, 2024 · Artificial Intelligence

Optimizing Advertising Feature Evaluation Process with the Opal Machine Learning Platform

By migrating iQIYI’s advertising feature‑evaluation workflow to the Opal machine‑learning platform, the team replaced a manual, engineer‑heavy process with a unified, automated pipeline that cut evaluation cycles from five days to 1.5 days, tripling iteration speed while lowering barriers and improving consistency for future feature optimization.

Feature EvaluationModel OptimizationOpal Platform
0 likes · 6 min read
Optimizing Advertising Feature Evaluation Process with the Opal Machine Learning Platform
iQIYI Technical Product Team
iQIYI Technical Product Team
Jul 5, 2024 · Big Data

RiskFactor: An Integrated Real‑Time and Offline Feature Platform for Risk Control

RiskFactor unifies iQIYI’s legacy real‑time and offline feature platforms onto Opal’s DAG‑plus‑SQL engine, accelerating feature production fifteen‑fold, cutting latency from hours to minutes, streamlining development, lowering costs, and delivering more reliable, versioned risk‑control capabilities against sophisticated online threats.

DAGReal-time Streamingbig data
0 likes · 14 min read
RiskFactor: An Integrated Real‑Time and Offline Feature Platform for Risk Control
iQIYI Technical Product Team
iQIYI Technical Product Team
Jun 28, 2024 · Artificial Intelligence

Feature Center Overview in iQIYI's Opal Machine Learning Platform

The Feature Center in iQIYI’s Opal platform centralizes feature creation, storage, and real‑time access through a drag‑and‑drop DAG workflow and DSL‑driven transformations, handling massive QPS and low‑latency demands while enabling fast business iteration, cross‑team reuse, and monitoring for advertising, recommendation, and risk‑control applications.

Opaldata pipelinereal-time features
0 likes · 13 min read
Feature Center Overview in iQIYI's Opal Machine Learning Platform