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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.

Intelligent ComputeOptimizationPID control

0 likes · 11 min read

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

DataFunSummit

Mar 5, 2024 · Artificial Intelligence

AI-Driven Intelligent Management and Regulation of Mold Temperature in Smart Manufacturing

This article explores how artificial intelligence, computer vision, and control algorithms are applied to smart manufacturing for intelligent mold temperature detection, cooling flow regulation, and full‑process system alerts, presenting a detailed solution architecture, key technologies, and a real‑world case study.

AIIndustrial AutomationMold Temperature Control

0 likes · 11 min read

AI-Driven Intelligent Management and Regulation of Mold Temperature in Smart Manufacturing

Zhuanzhuan Tech

Sep 8, 2022 · Artificial Intelligence

OCPC Advertising Bidding Strategy: Problem Modeling, Linear Programming Solution, and PID Control

This article presents a comprehensive study of the OCPC advertising bidding product, detailing its business logic, system architecture, linear programming formulation, solution methods using GLPK and Gurobi, parameter analysis, PID feedback control, and both offline and online deployment processes.

Linear ProgrammingOCPCOptimization

0 likes · 11 min read

OCPC Advertising Bidding Strategy: Problem Modeling, Linear Programming Solution, and PID Control

NetEase Yanxuan Technology Product Team

Apr 24, 2022 · Operations

Traffic Distribution and Allocation: Non‑Intervention vs. Intervention, Objectives, and Technical Solutions

The article compares non‑intervention (natural) traffic, where models autonomously maximize UV, with intervention (allocation) traffic that fine‑tunes re‑ranking to meet short‑term business goals, outlines objectives of balancing immediate profit and long‑term value, and presents two technical solutions—an ML‑plus‑OR integer‑programming model and a PID‑based control loop—for real‑time traffic allocation.

OptimizationPID controlReal-time Decision

0 likes · 9 min read

Traffic Distribution and Allocation: Non‑Intervention vs. Intervention, Objectives, and Technical Solutions

DataFunSummit

Jan 24, 2022 · Artificial Intelligence

Understanding oCPX: Intelligent Bidding, Calibration, and the Future of Computational Advertising

The article explains the origins, two‑stage mechanism, mathematical models, PID‑based calibration, and strategic implications of oCPX—an intelligent bidding solution that aims to align deep‑conversion pricing with platform revenue while highlighting its challenges and future direction in computational advertising.

PID controlad techbid optimization

0 likes · 31 min read

Understanding oCPX: Intelligent Bidding, Calibration, and the Future of Computational Advertising

58 Tech

Jul 8, 2020 · Artificial Intelligence

Budget Pacing Techniques and Their Application in 58.com Advertising Platform

This article introduces mainstream budget‑pacing methods for cost‑per‑click online ads, describes the 58.com business scenarios, details the pacing algorithm—including bid modification, probabilistic throttling, and reinforcement‑learning approaches—explains system design with PID control, and presents online experimental results and future directions.

PID controlad techbudget allocation

0 likes · 14 min read

Budget Pacing Techniques and Their Application in 58.com Advertising Platform

Architect

Jan 16, 2016 · Artificial Intelligence

Real‑Time Computing System for Alibaba Search: Architecture, Online Learning, and Strategy Optimization

The article presents Alibaba's real‑time computing platform for search, detailing its micro‑ and macro‑level architectures, online learning frameworks, point‑wise and pair‑wise ranking models, bandit‑based strategy optimization, and PID‑controlled traffic regulation, and reports significant performance gains during the Double‑11 shopping festival.

Big DataPID controlbandit learning

0 likes · 22 min read