George Yarish at #ScalaUA - Building ​a ​recommender system with matrix factorization

George Yarish explains how to build a collaborative filtering recommender system using Scala, Apache Spark, and the Alternating Least Squares algorithm.

George Yarish at #ScalaUA - Building a ​recommender system with matrix factorization Online retailers are always fighting to bring more traffic to their websites, so they have begun to provide more services to make as many sales as possible. With recommendation systems and Big Data techniques, companies will be able to apply users information and behavior so they can provide more efficient targeted services. This talk presents a solution that we in Grid Dynamics were able to deliver to one of our customers. The Scala and Spark application incorporates a collaborative filtering approach and Alternating Least Squares algorithm, a very well-known and widely-used algorithm among many world marketing internet leaders. Follow ScalaUA Conference on Twitter: twitter.com/@ScalaUA_Conf