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Oh man... I haven't been able to find any recommendation algorithms that recommended songs I liked even 1% of. Spotify's is a trash fire. Last.fm's wasn't great

Oh man... I haven't been able to find any recommendation algorithms that recommended songs I liked even 1% of. Spotify's is a trash fire. Last.fm's wasn't great. Pandora is okay. I am very interested in this project, but the setup instructions are... long. Not hard if you're good with computers, but long. Hopefully it'll be worth the hassle, but please try to make it easier to install somehow?

jacobobryant 7y ago
Yes, definitely! I'm working on mobile apps right now which will be super easy to use, and then I'll likely come back and improve the desktop app. The current app was optimized for development time, just so I could get a prototype working at least for my own use as quickly as possible.
- StavrosK 7y ago
  Oh, if it's a prototype, then that's understandable. Disregard, I will beta-test and report back!
  - jacobobryant 7y ago
    Thanks!
- StavrosK 7y ago
  I think you need to add a step to install libspotify-dev on Ubuntu, mopidy-spotify-web from your repo wouldn't install for me unless I installed that first.
  - jacobobryant 7y ago
    Oh, good to know! I'll update the docs. I'm on arch linux so I wasn't aware. Should've spun up a VM to test it first or something.
  - jacobobryant 7y ago
    Also, did you already install `mopidy-spotify` (https://github.com/mopidy/mopidy-spotify#installation https://github.com/mopidy/mopidy-spotify#installation) already? I think that package is supposed to have all the needed dependencies, maybe it's out of date.
    - StavrosK 7y ago
      Yes I did, alas.
heyplanet 7y ago
Have you tried Gnoosic (http://www.gnoosic.com http://www.gnoosic.com)? That is the one that works best for me.
- jacobobryant 7y ago
  I'm thinking of incorporating gnoosic (or something similar--haven't looked yet to see if they have an API) into Lagukan for recommending new artists. Mainly my work has focused on re-recommending songs you already know.
- StavrosK 7y ago
  No, I didn't know about it, thank you!
davidjnelson 7y ago
Have you tried putting 100 songs you really like that are in similar sub genres into a new playlist in Spotify, then playing the last song and letting it generate new suggestions from there? Kind of a weird hack, but I’ve been getting good results from it that have improved my #2 daily list selections a lot. Pandora’s concept of a music genome is quite fascinating too. For whatever reason the repeat rate gets too high though, even if you seed it with multiple songs.
- StavrosK 7y ago
  Unfortunately I like a little bit of everything, so I don't have 100 songs I like in the same genre. I have 1000 songs from wildly different genres, so I'm very hard to generate suggestions for.
  - davidjnelson 7y ago
    Ah. You might get some benefit even doing 10 song playlists and letting them run after the last song, with ml driving the song selection. This has worked well for me personally. Might be worth experimenting with.
scarejunba 7y ago
When I use the "Start Radio" function on a song in Google Music it often leads to good stuff.
winternett 7y ago
It would probably be better if these sites found a way to compile songs from DJ mix tracklists and then scan for the highest quality audio from sites like YouTube and Spotify and then stream entire mix tracklists by genre as individual tunes, that way matching songs within music genres would be more properly targeted genre-wise. I fear a future where AI picks all the music because what I like to hear usually is never what I hear on streaming cues. Licensing within the music industry is the #1 enemy of getting good music cue suggestions across all music artists though, as many streaming providers can't just access any song they want to, because the agreements to play on each service are so limited and segmented.

jacobobryant 7y ago

Yes, definitely! I'm working on mobile apps right now which will be super easy to use, and then I'll likely come back and improve the desktop app. The current app was optimized for development time, just so I could get a prototype working at least for my own use as quickly as possible.

StavrosK 7y ago
Oh, if it's a prototype, then that's understandable. Disregard, I will beta-test and report back!
- jacobobryant 7y ago
  Thanks!
StavrosK 7y ago
I think you need to add a step to install libspotify-dev on Ubuntu, mopidy-spotify-web from your repo wouldn't install for me unless I installed that first.
- jacobobryant 7y ago
  Oh, good to know! I'll update the docs. I'm on arch linux so I wasn't aware. Should've spun up a VM to test it first or something.
- jacobobryant 7y ago
  Also, did you already install `mopidy-spotify` (https://github.com/mopidy/mopidy-spotify#installation https://github.com/mopidy/mopidy-spotify#installation) already? I think that package is supposed to have all the needed dependencies, maybe it's out of date.
  - StavrosK 7y ago
    Yes I did, alas.

heyplanet 7y ago

Have you tried Gnoosic (http://www.gnoosic.com http://www.gnoosic.com)? That is the one that works best for me.

jacobobryant 7y ago
I'm thinking of incorporating gnoosic (or something similar--haven't looked yet to see if they have an API) into Lagukan for recommending new artists. Mainly my work has focused on re-recommending songs you already know.
StavrosK 7y ago
No, I didn't know about it, thank you!

davidjnelson 7y ago

Have you tried putting 100 songs you really like that are in similar sub genres into a new playlist in Spotify, then playing the last song and letting it generate new suggestions from there? Kind of a weird hack, but I’ve been getting good results from it that have improved my #2 daily list selections a lot. Pandora’s concept of a music genome is quite fascinating too. For whatever reason the repeat rate gets too high though, even if you seed it with multiple songs.

StavrosK 7y ago
Unfortunately I like a little bit of everything, so I don't have 100 songs I like in the same genre. I have 1000 songs from wildly different genres, so I'm very hard to generate suggestions for.
- davidjnelson 7y ago
  Ah. You might get some benefit even doing 10 song playlists and letting them run after the last song, with ml driving the song selection. This has worked well for me personally. Might be worth experimenting with.

scarejunba 7y ago

When I use the "Start Radio" function on a song in Google Music it often leads to good stuff.

winternett 7y ago

It would probably be better if these sites found a way to compile songs from DJ mix tracklists and then scan for the highest quality audio from sites like YouTube and Spotify and then stream entire mix tracklists by genre as individual tunes, that way matching songs within music genres would be more properly targeted genre-wise. I fear a future where AI picks all the music because what I like to hear usually is never what I hear on streaming cues. Licensing within the music industry is the #1 enemy of getting good music cue suggestions across all music artists though, as many streaming providers can't just access any song they want to, because the agreements to play on each service are so limited and segmented.