Machine Learning in Ads Ranking | Oleg Tishutin | ML Software Engineer at Meta
Unlocking Personalized Ads with Machine Learning - Learn the business impact of tailored ads and the essence of supervised ML. Explore solutions like logistic regression using hashing tricks & FTRL optimization, Gradient Boosted Decision Trees, and cutting-edge Neural Networks with embeddings, as showcased by industry giants like Google, Twitter, Meta, etc. Extra insights delve into production needs: multi-stage ranking, distributed model infrastructure, continuous improvement, experimentation, and robust monitoring.
What you'll learn from this talk:
• Online Ads Delivery and Business Impact.
• Historical Solution - Log Regression.
• Neural Network-Based Production Solutions.
• Additional Production Infrastructure and ML Challenges.
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