An introduction to two recommendation engine architectures and solutions. We will use a simple movie recommender to compare and contrast the Machine Learning solution (using Sprark) and the GraphDB solution (using Neo4j). The session will serve as an overview of the recommendation use case and the underlying technologies. It will also include a brief live demo of each solution.
I'm a principle and lead engineer at DataSlice. We focus on big data solutions.