Advertising Targeting: From Glory to Sunset – Technical Reflections and Future Directions

This article reviews the evolution of advertising targeting technology, recounts its historical impact, analyzes the underlying machine‑learning models—from early Python classifiers to XGBoost‑Spark, DNN, and attention‑based wide‑deep systems—and discusses why the technique is now waning while outlining possible future integrations with large‑scale recall and cost‑aware optimization.

CTRmachine learningtargeting

0 likes · 26 min read

Advertising Targeting: From Glory to Sunset – Technical Reflections and Future Directions

NetEase Yanxuan Technology Product Team

Aug 22, 2022 · Industry Insights

How We Built a Transparent, Explainable Traffic Allocation System for E‑Commerce

This article details the design and implementation of a transparent, explainable traffic‑decision system for an e‑commerce platform, covering background challenges, directional principles, selection and targeting methods, PV value estimation, allocation algorithms, and the supporting data‑engineering and visualization infrastructure.

PV estimationalgorithmic fairnessexplainable AI

0 likes · 22 min read

How We Built a Transparent, Explainable Traffic Allocation System for E‑Commerce

DataFunTalk

Jul 17, 2022 · Artificial Intelligence

Evolution of OPPO Commercial Advertising Targeting: From Differentiated to Intelligent to Untargeted Practices

This article details OPPO's commercial advertising targeting evolution, covering the background and logic, the multi‑layer targeting system and data modeling, automated intelligent targeting methods, the shift to untargeted crowd recall, and future considerations for ad‑targeting technology.

AdvertisingOPPOmachine learning

0 likes · 13 min read

Evolution of OPPO Commercial Advertising Targeting: From Differentiated to Intelligent to Untargeted Practices

DataFunSummit

May 2, 2022 · Artificial Intelligence

Balancing ROI in Computational Advertising: Multi‑Party Game Theory and the Role of Information Asymmetry

The article examines computational advertising as a multi‑party game where advertisers and platforms continuously adjust pricing models—from CPM to oCPX—to balance ROI, emphasizing that the core commercial driver is exploiting information asymmetry through data‑driven targeting and algorithmic optimization.

Digital MarketingROIad pricing models

0 likes · 13 min read

Balancing ROI in Computational Advertising: Multi‑Party Game Theory and the Role of Information Asymmetry

JD Tech

Apr 30, 2021 · Artificial Intelligence

Smart DMP: A Next‑Generation Intelligent Targeting System for E‑commerce Advertising

This article reviews the limitations of traditional DMP and AI‑driven intelligent targeting in e‑commerce, introduces JD.com's Smart DMP framework that combines merchant intent with high‑relevance modeling, and presents experimental results showing over 15% CTR improvement and widespread merchant adoption.

AIAdvertisingSmart DMP

0 likes · 9 min read

Smart DMP: A Next‑Generation Intelligent Targeting System for E‑commerce Advertising