Scaling Gradient Boosted Trees for CTR Prediction - Part I
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Niloy Gupta, Software Engineer - Machine Learning
- Jan 9, 2018
Building a Distributed Machine Learning Pipeline As a part of Yelp’s mission to connect people with great local businesses, we help businesses reach potential customers through advertising and organic search results. The goal of Yelp’s advertising platform is to show relevant businesses to users without compromising their experience with the product. In order to do so, we’ve built a click-through-rate (CTR) prediction model that determines whether or not to serve ads from a particular advertiser. The predicted CTR determines how relevant the business is to the user’s intention and how much would need to be bid to beat a competitor...