In my first machine learning course as an undergrad, I built a recommender system. Using a dataset from a social music website, I created a model to predict whether a given user would like a given artist. I was thrilled when initial experiments showed that for 99% of the points in my dataset, I gave […]
All posts categorized in: Machine Learning
Friendly Machine Learning
At Indeed, machine learning is key to our mission of helping people get jobs. Machine learning lets us collect, sort, and analyze millions of job postings a day. In this post, we’ll describe our open-source Java wrapper for a particularly useful machine learning library, and we’ll explain how you can benefit from our work. Challenges […]
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 […]
- 1
- 2current