Machine Learning in Ads Ranking

About the talk

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.

This talk will cover

  • Online Ads Delivery and Business Impact
  • Historical Solution - Log Regression
  • Neural Network-Based Production Solutions
  • Additional Production Infrastructure and ML Challenges
Programming & Development

About the speaker

Oleg Tishutin

Oleg is a Machine Learning engineer with ~10 years experience in Ads Ranking.

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Discussion 

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