Sketch for an idea for a hack day at Last.fm. The theme is “user profiles”. I’m working on a project with Mark Levy, who leads the Music Information Retrieval team, to chart the mood of a user’s listening over time using new audio analysis tagging. We will be testing it on the team first!
I call it MOODmongr
The results
In general, the moods were pretty even across the year’s listening of my test group; my team mates. This was largely due to the fact that we all have varied music tastes and use radio steams and playlists for variety. However there were a few spikes and points of interest:
