Microsoft Azure Machine Learning x Udacity -- Lesson 5 Notes

The aim of a recommender system is to recommend one or more items to users of the system, e.g. A user might be a person, a group of persons, or another entity with item preferences. Content-base Recommender: makes use of features for both users and items. Users can be described by properties such as age or gender. Items can be described by properties such as the author or the manufacturer. Typical examples of content-based recommendation systems can be found on social matchmaking sites.