In this talk, I'll be discussing a few key differences between recommending music and recommending movies or TV shows, and how these differences can lead to vastly different designs, approaches, and algorithms to find the best possible recommendation for a user. On the other hand, I'll also discuss some common challenges and some of our recent research on these topics, such as better understanding the impact of a recommendation, enable better offline metrics, or optimizing for longer-term outcomes. Most importantly, I'll try to leave a lot of time for questions and discussions.