Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business and are used in a wide variety of industries, ranging from entertainment and social networking to information technology, tourism, education, agriculture, healthcare, manufacturing, and retail. dives into the theoretical underpinnings of these systems and looks at how this theory is applied and implemented in actual systems.