• Praveen Gujar
• Sriram Panyam

Abstract : The revolution in digital advertising, spearheaded by predictive ad targeting, marks a significant leap in how businesses engage with current and future buyers. Central to this transformation is the deployment of machine learning (ML) models on cloud platforms, which has significantly enhanced the precision and efficiency of ad targeting. This comprehensive exploration delves into the sequential processes involved in employing ML models for predictive ad targeting, covering data collection, preprocessing, model training, evaluation, deployment, and the overarching necessity for ethical considerations and bias mitigation at each stage. The paper aims to foreground the critical importance of fostering fairness, transparency, and respect for user privacy in leveraging advanced predictive technologies within the advertising domain.

Predictive Ad Targeting, Machine Learning, Cloud Computing, Bias Mitigation, Ethical AI, Personalization, Data Privacy

"Predictive Ad Targeting Powered by Machine Learning Models in the Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.g179-g185, April-2024, Available :http://www.jetir.org/papers/JETIR2404619.pdf

"Predictive Ad Targeting Powered by Machine Learning Models in the Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppg179-g185, April-2024, Available at : http://www.jetir.org/papers/JETIR2404619.pdf