Recommender systems, as the name suggests, recommend content to users. Examples include what to watch next on Netflix, made for you playlists on Spotify, your feed on any social media platform, etc. They are one of the most common--and most complex, sophisticated and data intensive--applications deployed right now. The [Recommender Systems Lab](https://www.that-recsys-lab.net/) at CU Boulder, led by Professor Robin Burke, focuses on development of recommender systems and particularly on the [[algorithmic fairness]] of recommender systems.