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Spotify has done this in innovative ways, marrying user habits like playlist creation with crowd-sourced behaviours to create personalised playlist suggestions.
While it has worked with labels to "power-seed" new artists' tracks in playlists programmed by its editorial team, that will not expand to the new personalised playlist.
They follow the debut in July 2015 of Discover Weekly, a personalised playlist for every Spotify user based on their listening habits, which is updated every Monday.
This will suit plenty of people just fine, but if you cherish the moments where a friend says "I've never heard of [band X]" and five minutes of dragging-and-dropping later you're pinging them a personalised playlist... it's still possible on Apple Music, but it could be easier.
These have included testing out a "Jump In" on-demand feature for free users; and launching a machine-learning based DailyMix; as well as a personalised playlist feature for new music on top of its already popular playlists, which now number 2 billion.
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Spotify's Discover Weekly, Daily Mix and Release Radar functionality, which create personalised playlists based on the users' previous activity, have been well-received by the userbase, but Amazon is hoping that its own success in shopping recommendations will transfer over.
Playlist for Life helps similar sufferers by loading personalised musical memories on to an iPod to be played to them by families or carers.
Frequently, they are personalised.
Many offer personalised homepages.
"It has got personalised.
Conditionality will be personalised.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com