These external tools let students explore recommendation ideas (no login required).
What to do: Visit one or both of the linked tools. Enter a few artists you enjoy and explore the recommendations the system returns. Try artists from very different genres and see how the maps change.
Think about: How might the tool be deciding what is "similar"? Recommendation algorithms often rely on collaborative filtering or embedding-based similarity — techniques closely related to the distributed representations discussed in the textbook.