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.