We just presented yesterday at ISMIR a tutorial about Linked Data for music-related
information. More information on the tutorial is available on the
tutorial website, and
the slides are also
available.

In particular, we had two sets of slides
dealing with the relationship between music recommendation and
linked data. As this is something we're investigating within the
NoTube project, I thought I
would write up a bit more about it.

Let's focus on artist to artist recommendation for now. If we
look at last.fm for recommendations
for New Order, here is what we get.

Similarly, using the Echonest
API for similar artists, we get back an
ordered list of artists similar to New Order, including

Orchestral Manoeuvres in the Dark,
Depeche Mode, etc.

Now, let's play word associations for a few bands and musical
genres. My colleague Michael Smethurst took the
Sex Pistols, Acid House and

Public Enemy, and draw the following associations:

We can see that among the different terms in these diagrams,
some refer to people, to TV programmes, to fashion styles, to
drugs, to music