I'm going to do a group presentation this is going to last eight minutes.
I want to do a quick, quick, quick overview presents a new features that we've been working
on and to present to you where we want to go and how actually to prepare some limitation
to build music recommendations and music discovery features.
So Fengwa is a nogeo streaming software, what you can listen to music, extracts, build
playlists, actually our implementation of activity group support audio metadata, so we share
the audio metadata between activity group, we created a bunch of new activity objects, so
if you want to build a nogeo federation software, we reach out so we can share the same
protocol like object definitions, we also use RSS and we have some centralized services that
allows us to have a consistent database to avoid duplicates, because if two users
upload the same track but in different files it's hard to be sure it's the same track,
so we use music brain to have a unique ID to be sure they're actually speaking about the same
music, we also use internet archive as a centralized service to get cover of hearts, so we've
been funding by NLNet, we've been developing new features, mainly use the follows with
listening playlists and favorite tracks activities, so these also are new activity group
objects and as far as I know nobody else owns the federation use and we've been creating a link
with listen brains, it's also a centralized service that allows to get your listenings and your
favorite from other services like YouTube, but if I whatever sort of party services you want to use
so we are like creating a bridge between governments and activity group if you want to
we could probably have built a scrubler, so tools that record the listening activity
as a decentralized services, but it was very interesting to have also listening in one place to
build the recommendation systems because it requires to do statistical relationships between
listening, so you need the more listenings you have, the more data you have, the more
accurate the recommendations are, so this is where we want to build, build proper
music recommendation and music discovery systems, so you have two ways to do that as I said,
we have a lot of ways to do that, but mainly you can use user listings or you can use music
metadata mainly general metadata, about general, we would like to use, we would pay the music
brains to build a collective knowledge about types specifically general, general is very subjective
so you need to debate to create them and also what would be very interesting is to have a general
taxonomy, so for example if you have a general German based general you want to listen to all
the self categories, so you need to know that I don't know the step is a subject of German based
which is a subject of the and this is very hard to do and we didn't find any way to build this
on using decentralized technology, so I guess using Wikipedia and this kind of collective tools
it's also nice, what there's also other things we could do is we could pay the
for example they have a list of artists that are considered as a fashion, so we could create
ban list with that without having to do all the moderation work and the fact checking we could
rely on as this kind of project, so for as I said we rely on centralized services it's a
little bit strange for an activity pub project but we didn't find any solutions that was easily
implementable, so if you have any idea feel free to reach out, also there's been some people
willing to use think well to allow artists to get money and sadly think well it's not a music
distributor, it could be nice to have this kind of institution because it could allow us to
also have an income and a strong economic model but we have nobody on the team knowing how
we project these music industry works, so about that also if you have knowledge or if you
have ideas of how this could work, feel free to reach out, and of course I'll interrupt
and to have a reliability is a political fight not only a protocol, sometimes we get lost and
only implementing protocols and well we don't have the power of Spotify, so it's not a Spotify
alternative yet and I don't think it will be okay thanks if you have any ideas about how to build
decentralized recommendation systems and if you want to implement audio federation feel free to reach out
we will probably work on an activity pub feature proposal for audio object next year and we will
also probably try to work with a fitted test project to enhance federation with other projects
so yeah that's it