lucifer: I worked out some things last night that we keep forgetting....
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aerozol
Ooh the '87 one is cool too
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aerozol
Wish I'd come up with the receipt. Maybe I can come up with it later 😂
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mayhem
MTF has great design sense in general, but sticking matthew in bright light and taking his picture up close? WHY???
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aerozol
#moody
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mayhem
#toodumbtounderstandlightingbasics
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mayhem
this happened when I gave a talk for them too.
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CatQuest
huh that recipt thing is kinda fun
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CatQuest
:D
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mayhem
aerozol: if you reinvent the ticketbot, please use a background image that shows some paper grain.
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mayhem
the crinkles are a great idea, but on perfect white background, it falls a bit short.
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CatQuest
imagine it with an askii sort of lb logo infront
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aerozol
Ooh that's cool. Unfortunately I don't know if we can copy that one without it being bloody obvious
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CatQuest
oh! what about warez info file looking?
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CatQuest
you know those with the big ascii logo an "we blah blah an then something similar to this recipt but bodging the titles toexklude some letters, make some letters int onumbers (l33t) and z's instead of s's..
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mayhem
or maybe we contact them and see if they are interested in making an LB version.
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atj
you can always ask them if it's ok
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CatQuest
just an idea i had
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aerozol
I still reckon look at opening up the 'explore' section, the community out there is doing so much
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aerozol
Endless cool things
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aerozol
Warez one is cool too. Someone has to make a little song that plays!
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CatQuest
oh. also an anecdote about date in hover on: I had some releases a couple days ago, was adding them, it said "released 6 years ago" etc.. "ugh thought I, I have to idk, math or something, and when going to copy the text / seeing if there ewas any button or something, then, and only then discovering that there was a hover with the actual date (badly done.)
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CatQuest
then? I had to remember the date (repeating the numbers to myself (17, 08, 09)), as I entered them into mb.
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CatQuest
in conclusion ,it would have been 30 times easier if I could have just copied a line of text to pasteinto mb, or even just seend a date and write it in mb while looking
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CatQuest
aerozol: yea? you liked my warez idea? :D
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aerozol
Yeah cool as
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CatQuest
:D
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CatQuest
oh. lol what about the obvious? superman scroling text
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aerozol
I could mock these up all day (but I won't cause I've already spent a lot of time on that)
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CatQuest
superman/starwars/
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CatQuest
iirc they both had that
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CatQuest
aaw
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aerozol
When we do video ones that would be cool
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CatQuest
nah. just gif
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aerozol
Ok, I gotta go to bed, and this is very distracting/fun hah. Have a great day all!
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CatQuest
or just a still with the 10 ones there like a page
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CatQuest
heh :D i forgot it's late there
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CatQuest
happy november to you
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mayhem
natta aerozol
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CatQuest
it's already the 1s right? it'll be the 2 soon for you
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lucifer
mayhem: oh. which things?
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mayhem
a classic machine learning mistake -- it didn't trigger for me because what we're doing doesn't quite strike me as machine learning, but I guess it does. We never limited the input from any one user.
2. (this might be tricky) is to get a top X users and their individual listen counts that contribute to each entity-entity pair.
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mayhem
so for 2, we would see: MBID0, MBID1, score, score_hist: {'user1": 1, "user2":76, "user3": 4 }
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mayhem
so that we can see which users contribute to the questionable rec.
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mayhem
this would seriously balloon the dataset, I totally get that.
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mayhem
but if we can implement this, we should delete all data sets and then re-run something like session_based_days_730_session_400_threshold_5_limit_200 which clearly exhibits the problem.
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mayhem
BUT, realistically speaking, we may not need to do #2 if #1 drastically improves the results.
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lucifer
mayhem: for 2, yeah even if you get the top contributor for each pair, it'll be ~10M rows easily. will add 1. we do this for sitewide stats already, so that 1 user's listens do not dominate the entire site's artist/release/recording stats.
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mayhem
exactly, agreed 100%.
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mayhem
so, lets start with the #1 and then removing matches from the same artist credit.
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lucifer
chinmay: sure sounds good to update those actions.
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mayhem
then start over and nuke all the datasets and I'll start generating new ones.
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mayhem
and I will actually code the troi patch to compare the matches against spotify audio features so I can run automated tests against data sets.
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lucifer
sounds good
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CatQuest
boo that also seems like recomendations will all be too "narrow" too dough.. :/
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CatQuest
dough?
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CatQuest
though
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CatQuest
∂ough
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CatQuest
damn where is that thorn whench you need it
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Freso
Compose key + t + h → þ
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Freso
Compose key + T + H → Þ
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Freso
Compose key is great 🥰
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atj
galactic0205: best to repeat your question in this channel as it is where the developers hang out
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galactic0205
Hey everyone this is Prajwal Uday from Bangalore, India.
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galactic0205
as a brief introduction of myself, I work on ML and NLP-related projects and have been researching algorithms and topics based on them.
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galactic0205
So my query is, are there any projects related to Machine Learning to which I can contribute to? I'll be grateful if someone helps me out.
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galactic0205
Thank you.
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mayhem
hi galactic0205
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mayhem
we don't do much NLP stuff, but we do do some machine learning using Spark and some homegrown stuff that may or may not qualify for "machine learning"
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mayhem
(we're using machine learning concepts, but only SQL, so can it be machine learning? lol)
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atj
I think Postgres will achieve sentience in a few years
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galactic0205
oh that's alright
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mayhem
we're currently engaging in a project where were are trying to use the stream of listens for a user and trying to derive how individual recordings might relate to each other.
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mayhem
atj: in lucifer's hands, it will.
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mayhem
galactic0205: there is a project that I would like someone to do. its a nice and isolated project that doesn't depend on a lot of stuff.
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mayhem
namely, inferring genres.
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galactic0205
that sounds great
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mayhem
MusicBrainz has a few million genres. but we have 24M or so tracks.
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mayhem
so the genre coverage is really not very good at all. not good enough to use for recommendations.
