Learning to Rank in Solr: Presented by Michael Nilsson & Diego Ceccarelli, Bloomberg LP This document summarizes Bloomberg's use of machine learning for search ranking within their Solr implementation. It discusses how they process 8 million searches per day and need machine learning to automatically tune rankings over time as their index grows to 400 million documents. They use a Learning to Rank