All posts from: April 2016

Building a Large-Scale Machine Learning Pipeline for Job Recommendations

Posted on by Preetha Appan

(Editor’s note: This post was originally published on oreilly.com.) With 200 million unique visitors every month, Indeed relies on a recommendation engine that processes billions of input signals every day — resulting in more external online hires than any other source. To create this recommendation engine, we started with a minimum viable product (MVP) built with Apache […]

Read the full article »