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DataFunTalk
DataFunTalk
Dec 21, 2022 · Artificial Intelligence

A Comprehensive Overview of Computational Advertising: Architecture, Deep‑Learning Evolution, and Future Directions

This article provides a thorough examination of computational advertising, covering the oCPM pricing model as a superset, classic system architecture, the evolution of core modules such as ad ranking, pacing, bidding, federated learning, calibration, and conversion‑delay handling, and concludes with career advice for algorithm engineers.

CalibrationDeep LearningFederated Learning
0 likes · 29 min read
A Comprehensive Overview of Computational Advertising: Architecture, Deep‑Learning Evolution, and Future Directions
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Dec 15, 2022 · Artificial Intelligence

Cross‑Scene Intelligent Advertising on Xiaohongshu: Algorithms for Keyword Selection, Targeting, Budget Allocation and Multi‑Constrained Bidding

Xiaohongshu’s All‑Site Smart投 platform unifies cross‑scene advertising by using AI‑driven keyword extraction, graph‑based user modeling, OCR‑enhanced sparse‑ad handling, learning‑to‑rank targeting, dynamic budget reallocation, and a primal‑dual linear‑programming bidding engine that jointly optimizes ROI under multiple constraints.

Advertisingbiddingbudget optimization
0 likes · 12 min read
Cross‑Scene Intelligent Advertising on Xiaohongshu: Algorithms for Keyword Selection, Targeting, Budget Allocation and Multi‑Constrained Bidding
DataFunSummit
DataFunSummit
Jan 1, 2022 · Artificial Intelligence

Intelligent Advertising Delivery System: Budget‑Constrained Bidding, Multi‑Constraint Bidding, Sequential Allocation, and Multi‑Channel Optimization

This article systematically introduces Alibaba's advertising intelligence platform, covering the evolution from simple CPM/CPC models to advanced budget‑constrained, multi‑constraint, and sequential bidding strategies, multi‑channel optimization, and reinforcement‑learning‑based solutions that jointly maximize advertiser ROI and platform revenue.

Multi‑Channelbudget optimizationmachine learning
0 likes · 34 min read
Intelligent Advertising Delivery System: Budget‑Constrained Bidding, Multi‑Constraint Bidding, Sequential Allocation, and Multi‑Channel Optimization
DataFunSummit
DataFunSummit
Jul 24, 2021 · Artificial Intelligence

Alibaba 1688 User Growth, Full‑Chain Growth System, and Deep‑Learning Applications in Search and Promotion

This article presents a comprehensive overview of Alibaba 1688's user‑growth strategy, detailing lifecycle segmentation, budget‑constrained installation optimization, intelligent red‑packet allocation, smart push mechanisms, information‑flow advertising, and the deep‑learning‑driven search pipeline that together power the platform's growth engine.

Recommendation Systemsbudget optimizatione‑commerce
0 likes · 20 min read
Alibaba 1688 User Growth, Full‑Chain Growth System, and Deep‑Learning Applications in Search and Promotion
DataFunTalk
DataFunTalk
Aug 15, 2020 · Artificial Intelligence

Dynamic Knapsack Optimization for Multi‑Channel Sequential Advertising Using Long‑Term Value

The article presents a novel multi‑channel sequential advertising framework that models budget‑constrained GMV optimization as a dynamic knapsack problem, introduces a long‑term value‑based RL solution (MSBCB), and validates its superiority through extensive offline and online experiments showing up to 10% ROI improvement.

Advertisingbudget optimizationdynamic knapsack
0 likes · 16 min read
Dynamic Knapsack Optimization for Multi‑Channel Sequential Advertising Using Long‑Term Value
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 24, 2020 · Artificial Intelligence

How Reinforcement Learning Can Supercharge New Media Marketing Strategies

This article examines the limitations of traditional new media marketing, explains reinforcement learning fundamentals, and presents a six‑step technical solution—including problem modeling, algorithm selection, action, state, reward design, and model training—that uses RL to optimize budget allocation and achieve over 35% improvement in campaign effectiveness while reducing costs.

AIbudget optimizationdigital advertising
0 likes · 20 min read
How Reinforcement Learning Can Supercharge New Media Marketing Strategies
Hulu Beijing
Hulu Beijing
Apr 11, 2019 · Artificial Intelligence

Optimizing Real-Time Ad Bidding with Reinforcement Learning: A Deep Dive

This article explains how real‑time bidding works in computational advertising, defines the budget‑constrained bidding problem, models it with reinforcement learning, and presents a deep‑network implementation together with visual analysis and key references.

AdvertisingDeep Learningbudget optimization
0 likes · 6 min read
Optimizing Real-Time Ad Bidding with Reinforcement Learning: A Deep Dive