Ads Ranking Evolution at Pinterest - From Logistic Regression to Deep Learning
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the evolution of ads ranking at Pinterest in this 53-minute podcast episode featuring Aayush Mudgal, Senior Machine Learning Engineer. Gain insights into the transition from traditional logistic regressions to deep learning-based transformer models, incorporating sequential signals, multi-task learning, and transfer learning. Discover the challenges faced and lessons learned in scaling ads ranking using innovative machine learning algorithms and platform advancements. Learn about the importance of continuous innovation, data transformation, monitoring, and pipeline optimization in large-scale recommendation systems. Understand the complexities of migrating to new technologies, optimizing model complexity, and balancing performance with cost considerations in the context of Pinterest's ads marketplace.