Recommendation Systems case studies

Recommendation systems are systems developed to suggest relevant items to users (text to read, movies to watch, products to buy, or something else depending on industry). The purpose of a recommendation system is to suggest the relevant items to users and help them identify what they are looking for to save a lot of time. They're extremely important in some industries as they can generate a large amount of income when they are efficient or also be a way to stand out significantly from competitors. To provide relevant choices for users, there are such categories of methods: collaborative filters, content-based method, and a classification model.