I like pop music with effects and very dynamic female voices

[Axo1989]

yes, I have spotify, but I get lost, I'm 60 years old now, I'm looking for directions here to understand where to start

You've had a few suggestions, did you go from there to see what any algorithms your initial listening triggers do for you?

 

[musica]

How can I make these algorithms work faster and more accurately?

 

[Jimbob54]

How can I make these algorithms work faster and more accurately?

Like /favourite more and listen more . Like artists , albums etc . Listen to the various mixes they give you .

 

[Killingbeans]

How can I make these algorithms work faster and more accurately?

Like @Jimbob54 says, listen to the stuff you like repeatedly and from start to finish, and skip the stuff you don't like.

Maybe send a Christmas bonus to the programmers

 

[threni]

How can I make these algorithms work faster and more accurately?

Port them to assembly language.

:q!

 

[Axo1989]

How can I make these algorithms work faster and more accurately?

With Apple Music, I recall there was a favourite sub/genres selection on first use/setup.

After that it's just listening, You can accelerate the process by tagging favourite songs/albums and "suggest less" for things you don't like. I didn't listen to the various mixes offered for years, just used the 'x fans also like' and 'more like' offerings, as well as 'similar artists' that appears once you select a particular artist, and so on to discover new stuff to try. Also, reviews and new releases on music mags like Pitchfork etc.

Recently I've used some of the mixes (ie algorithm-generated playlists based on my listening history) with various modifiers like 'heavy rotation' 'chill' 'favourites' 'new music' and so on.

I don't know the specifics for Spotify (I'm not a fan, they pay artists less than anyone else, and instead spend large sums supporting retrograde activities that are outside scope for discussion here) but I imagine similar stuff, and there are some hints from users here already, so try those.

 

[Jimbob54]

With Apple Music, I recall there was a favourite sub/genres selection on first use/setup.

After that it's just listening, You can accelerate the process by tagging favourite songs/albums and "suggest less" for things you don't like. I didn't listen to the various mixes offered for years, just used the 'x fans also like' and 'more like' offerings, as well as 'similar artists' that appears once you select a particular artist, and so on to discover new stuff to try. Also, reviews and new releases on music mags like Pitchfork etc.

Recently I've used some of the mixes (algorithm-generated playlists based on my listening history, with various modifiers like 'heavy rotation' 'chill' 'favourites' 'new music' and so on.

I don't know the specifics for Spotify (I'm not a fan, they pay artists less than anyone else, and instead spend large sums supporting retrograde activities that are outside scope for discussion here) but I imagine similar stuff, and there are some hints from users here already, so try those.

Think Spotify has a similar set up. Do yes , musica , favourite whole artists , albums that you like. Spotify loves to classify into genres so add / favourite their playlists and mixes that has stuff you like.

It will never be perfect but better than just asking a few hundred random people on the internet to suggest stuff they like (but you might hate ). But there is no substitute for listening and learning what your tastes are .

Sites like Allmusic are good for providing reviews and suggestions too .

Find a music review site that reviews the kind of music you like too .

 

[musica]

I can't easily find similar albums and songs on spotify, how do I search?

 

[Jimbob54]

I can't easily find similar albums and songs on spotify, how do I search?

Literally the home page .

 

[Jimbob54]

Just to check @musica , you have signed up for a premium account (even if only a trial )?

I'm not sure you get the algorithms with the free version .

 

[napfkuchen]

Dolby ATMOS for Apple Music is stunning. Definitely not everything to my actual taste in music, but the effects alone are a great experience:

 

[Axo1989]

It will never be perfect but better than just asking a few hundred random people on the internet to suggest stuff they like (but you might hate ). But there is no substitute for listening and learning what your tastes are ...

Good point (and I went straight for a track they might hate, because opposites often help to crystallise things).

To repeat the suggestion for the OP, for example my Apple Music reacts quickly when I play new things, throwing up a row of similar artists/albums and adjusting categories for the various sub-genre feeds several times a day (as well as gradually adjusting the broader mixes). Again assuming Spotify does things similarly, how is it going for you (the OP) when you play a new thing or three? Can you see anything going on, in terms of it starting to work for you?

 

[beeface]

Spotify’s algo is a bit hit and miss imo. My weekly discovery playlists are ok, but the track radio playlists are awful these days - relies too much on stuff you already used to. It used to be a decent way of finding new music

 

[Jimbob54]

Spotify’s algo is a bit hit and miss imo. My weekly discovery playlists are ok, but the track radio playlists are awful these days - relies too much on stuff you already used to. It used to be a decent way of finding new music

Sure isn't perfect . I've tried most streaming services and none are . But for OP discovery and exploration purposes it would have to be Spotify, tidal or Apple. Amazon isn't quite there and qobuz doesn't really do any algorithm stuff.

 

[Roland68]

of which ones I like these
Joan Osborne, 4 Non-Blondes, Melissa Manchester, Laura Branigan, Marina and the Diamonds,
Christine and the Queen, Haim, Your Smith, Miss Li and Gwen bStefani.
how should I move, how do I search and what?

Sounds to me like you're looking for something like Captain Jack.
Captain Jack, The Mission, Spotify

 

[JohnnyAudio]

I like pop music with effects and very dynamic female voices,
help me find it
thanks

Tan Wei Wei

 

[Leon74]

Spotify’s algo is a bit hit and miss imo. My weekly discovery playlists are ok, but the track radio playlists are awful these days - relies too much on stuff you already used to. It used to be a decent way of finding new music

Maybe try Deezer, its Flow is really good if you train it. And you can choose between hearing more songs you already liked or discovering more new songs.