Recommender systems are designed to suggest items like products, news articles, videos or social media connections to users based on their preferences and behavior. Researchers study the design of these systems to determine how to best predict a user's rating or preference for an item based on their profile and opinions of similar items. The goal is to develop algorithms that can filter through large datasets and provide personalized recommendations to users.