~/talk

Iron: Keyword Grouping Model for Text Ads Bidding in Paid Search

Talkat MLconf 2016 Seattle · on Friday, 2016-05-20· [machine-learning]
name:Suxin Guo
links:none on file
slides:none on file

Iron trains a Gradient Boosting Machine on eBay search features, paid-search performance and Google feedback to predict per-keyword conversion rates, then computes expected value using predicted CR and price and groups keywords by that value; group-level bids are set and adjusted with a market-feedback auction algorithm called Brutus. Deployed A/B test holds cost steady while revenue rises, delivering about a 27% ROI uplift versus category-only grouping.

AI-written summary · about

  1. 0:00Introduction
  2. 0:19How Google Paid Search works
  3. 3:30Keyword Bidding Process
  4. 4:24Algorithm Structure
  5. 4:59Pipeline
  6. 6:22Results
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