When someone asks where machine learning is broadly applied in an industrial context, recommender systems is a typical answer. Indeed, these systems are ubiquitous, and we rely on them a lot. Amazon is maybe the best example of an e-commerce site that utilizes many types of recommender systems to enhance users’ experience and help them quickly find what they are looking for. Spotify, whose domain is music, is another good example. Despite heavy usage of machine learning, recommender systems differ in two crucial ways from classically trained ML systems:
Besides basic content, they try to ...
