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.