Maps and Recommendation Engines

Many of these are both creative and technical marvels.

Every Noise at Once
Every Noise at Once is an ongoing attempt at an algorithmically-generated, readability-adjusted scatter-plot of the musical genre-space, based on data tracked and analyzed for 3,816 genre-shaped distinctions by Spotify as of 2020-01-14. The calibration is fuzzy, but in general down is more organic, up is more mechanical and electric; left is denser and more atmospheric, right is spikier and bouncier. [Editor’s Note: Everything at this site is mind-boggling. seems to be the blog of the person who developed the site, Glenn McDonald.]

BB King (Photo: Eyellgeteven)

Gnod is kind of a search engine for music you don’t know about. It will ask you what music you like and then think about what you might like too. When I set Gnod online its database was completely empty. Now it contains hundreds of thousands of bands and quite some knowledge about who likes what. And Gnod learns more every day. Enjoy!

Music-Map identifies music relationships. For instance, typing in The Grateful Dead generates a group of circles with the band in the middle. That circle connects to Phish, Jefferson Airplane and a large number of related bands and performers. Clicking on any of those generates its own map. The downside is that the engine seems to throw too wide a net. For instance, one of the bands connecting to The Grateful Dead is Pink Floyd. What do the two have in common except the fact their genres and level of fame?

Music Roamer
Typing The Grateful Dead into Microroamer generates a circle connecting to Jerry Garcia, The Allman Brothers, The New Riders of the Purple Sage, Phish, The String Cheese Incident, moe., Bob Weir and The Jerry Garcia Band. It seems that this is out of date and incomplete (Where are RatDog and Dead & Company?).

TasteDive is a recommendation engine that helps you explore your taste! Create an account for a better discovery experience. Once signed in, you receive better, personalized recommendations for similar music, movies, TV shows, books, authors, games, and podcasts, based on what you like. You can build a taste profile, find people with shared interests, and keep up with their lists and discoveries.