budget optimization

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.

Federated Learningad rankingbudget optimization

0 likes · 29 min read

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

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

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-Channeladvertisingbudget optimization

0 likes · 34 min read

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

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

Ctrip Technology

Nov 5, 2020 · Operations

Applying PID Control Algorithm for Advertising Cost Control in Real-Time Bidding Systems

This article explains how the classic PID feedback control algorithm can be adapted to regulate advertising bidding costs, describing its theory, component effects, practical implementation in a real‑time ad‑exchange, simulation experiments, and the resulting improvements in budget adherence and cost stability.

AlgorithmPIDReal-Time Bidding

0 likes · 13 min read

Applying PID Control Algorithm for Advertising Cost Control in Real-Time Bidding Systems

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