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Yelp Ad Targeting at Scale with Apache Spark - Inaz Alaei-Novin and Joe Malicki

1,914 views · Published 8 June 2017 · 30:18 · Indexed 20 October 2026

Channel: Databricks · 2017 · Science & Technology

"From training billions of ad impressions to scaling gradient boosted trees with more than three million nodes, Ad Targeting at Yelp uses Apache Spark in many stages of its large-scale machine learning pipeline.

This session will explore examples of how Yelp employed and tweaked Spark to support big data feature engineering, visualizations and machine learning model training, evaluation and diagnostics. You'll also hear about the challenges in building and deploying such a large-scale intelligent system in a production environment.

Session hashtag: #SFml7"

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Yelp Ad Targeting at Scale with Apache Spark - Inaz Alaei-Novin and Joe Malicki

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