Recommendation Systems in Healthcare

Abstract

Recommender systems are a subclass of information filtering systems which is broadly used to find the right products or services for the right consumers. In the era of ‘Big Data’, recommender systems are of great importance as they are used to solve the information overload in many areas of people’s lives (e-commerce/e-shopping, e-library, movies, TV programs, prescriptions, health recommendations, news, cooking, and more). In their simplest form, recommender systems create a personalized list of predictions that are ranked based on the user’s history, preference, solution/domain constraints, and other factors.