All posts from:April 2016

Building a Large-Scale Machine Learning Pipeline for Job Recommendations

(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 […]

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