Not really meant for self hosting, but have you looked at listenbrainz? The software and data is open and it’s not a commercial service.
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How would these recommendations be generated. Will you host for loads of people or just sit there with your single datapoint?
That's a fair point that I had not considered -- it's a shortcoming in the premise of my inquiry. I wonder if it's possible, if at all, to create any recommendation service that doesn't compromise on user privacy. It may not be, as it would require a user's history, which, given enough entries, can be used to identify them.
Its possible with anonymous data. But you do need other user's data. So it would need to somehow be not just self-hostee but also federated. With lots of dsts from other servers
The issue, I think, is that having access to a user's entire listening history could very well be used to identify that user -- one's full listening history is likely to be rather unique.
I've used libre.fm before but it seems the project is not active anymore.
You'll need some kind of database if you want recommendations... Listenbrainz's data is open, so you might find some self-hosted service that uses that database and local history for recomendations, but... why not just contributing your scrobbles to that awesome project?
They do require an email for signup, but IMO they are trustworthy and you can just use some anonymous email if it's important to you to really stay anonymous.