A recommendation engine is a system that predicts the preference or rating that a user would give to an item. The system selects relevant items for the users based on their behavior and the knowledge it has about them. Nowadays, recommendation systems are used in many online services. They help users by selecting the stuff they might be interested in from the vast amount of available data that is irrelevant to them. Offering good recommendations enhances user engagement. E-commerce sites also benefit from offering relevant product recommendations by increasing their average sale.
We are going to create a simple, yet powerful, recommendation engine that suggests products that are usually bought together. We will suggest products based on historical sales, thus identifying products that are usually bought together. We are going to suggest complementary...