What is a Recommendation System?

Anyone who has used Spotify or shopped at Amazon will recognize a recommendation system: It’s an information filtering system that predicts what a user might want to hear or see based on choice patterns provided by the user.

A recommendation system is a type of information filtering system that predicts the preferences or ratings that a user would give to a particular item, such as a product, movie, or article. Its primary goal is to suggest relevant items to users based on their historical interactions, preferences, or similarities with other users. Recommendation systems are widely used in various online platforms, including e-commerce websites, streaming services, social media platforms, and content websites, to personalize user experiences, increase engagement, and facilitate decision-making processes. There are several types of recommendation systems, including collaborative filtering, content-based filtering, and hybrid approaches, each utilizing different techniques to generate recommendations.