Introduction
A recommendation engine is a system that tries to suggest relevant items to users. These could be movies (e.g Netflix), products (e.g Amazon), flights (e.g Skyscanner), etc. Recommendation engines have become a key component in today’s online-first world and if engineered properly, they can help significantly increase revenue for commercial applications.
Although many different approaches exist to building a recommendation engine, in this tutorial we will be focusing on one of the most widely used ones, collaborative filtering. We will be using a movie dataset to build a simple movie recommender system leveraging Memgraph and Cypher.