Recommendation systems are among the most popular applications of
machine learning. The idea is to predict whether a customer would like a
certain item: a product, a movie, or a song. Scale is a key concern for
recommendation systems, since computational complexity increases with
the size of a company’s customer base. In this blog post, we discuss how
Spark MLlib enables building recommendation .....[More]
