Comment by ale
1 hour ago
Man i love last.fm even though it's been technically superseded (for most people) by Spotify's recommendation features. It just fit so well in the zeitgeist of 2000's indie scene, microblogs, early social media.
1 hour ago
Man i love last.fm even though it's been technically superseded (for most people) by Spotify's recommendation features. It just fit so well in the zeitgeist of 2000's indie scene, microblogs, early social media.
I just think it's beautiful that I can see all the music I've listened to since 2005 (back when it was still called Audioscrobbler, before the Last.fm rename). And I never stopped scrobbling in all that time!
I love these kinds of stats and being able to see how my taste has changed across more than 20 years, since I was a teenager.
I do miss the old community forums they had integrated back in the day, though.
As a long-time user, I do enjoy seeing how my tastes have changed over the years and which artists and albums I play the most. I also tend to agree that the Last.fm recommendation engine was perfectly fine for my use case compared to the algo that Spotify uses now. https://www.last.fm/user/wyclif
I just remembered that I met one of my best friends to this day through Last.fm. It was 2009 or so, and you could leave messages on concert pages.
I posted asking if anyone wanted to go with me since I didn't want to go alone, and she sent me a message.
Good times.
I don't think the recommendation engines behind Spotify, Youtube Music, etc compare to the recommendations I got from last.fm over the years. The algorithmic ones seem to have a bunch of issues that bug me as a long time music listener and someone with a large music library.
- their memory is short as hell so you can listen to something for a while, stop and then it'll suggest it to you later as something to "discover"
- they are way too biased towards recently listened music and will replay things over and over if you're not actively managing your queues.
- because they're so based on what you have listened to (recently) they suggest things that are extremely obvious music no one is "discovering"
- they suggest the "top" songs from artists, albums, etc, it's very hard to get it to play a "deep cut"
- if you have a large library you'll inevitably hit playlist song limits and other things silently. Each service handles this differently, Youtube Music seemingly kicks things out of my library or liked playlists each time I add something else.
I've literally just gotten in the habit of never using the autoplay features and just starting whole albums from start to finish again because the algorithms annoy me so much. Youtube Music has been getting worse about it too where now it often ignores the music you chose to start a playlist and starts playing things you've listened to recently regardless of it doesn't match the genre/vibe at all.
I switched to Apple Music to save some money and I find the curation and the recommendations to be significantly better than Spotify.
I'm 90% sure that music labels pay to "put their thumbs on the scales" with these recommendation algorithms in order to push their "hot" artists. I wonder how many of these problems are a result of that.
We can never know for sure if this is or isn't the case, so our only hope for stuff we can be confident isn't this way is with foss / self host able solutions
I've felt a serious reduction in quality of recommendations from spotify the past couple years. Maybe I'll try last.fm
More than a feeling.
Pretty much all the machine learning recommendation engines that emerged in the Netflix era were doomed to collapse under their own weight over time for non-mainstream users because the some limited number of mainstream modes dominate as most statistically "optimal" across the total user pool. These algorithms are best in the early days, when they're still exploring the content space for good novel fits but eventually get trapped into deep, boring grooves that work really well for tons of non-discriminating users with similar tastes.
Separately, in real commercial terms, they're all fundamentally poisoned by business model objectives of highlighting cheap content or servicing partnership/advertising deals, etc. And that problem also becomes more and more prominent as the companies running them grow and become more influential and as they need to squeeze harder and harder for revenue growth.
It was basically just a long, winding, wildly expensive road back to broadcast radio programming.
It was a good run for a while, but we're long due for a new model.
The sad thing is that before Spotify bought the Echo Nest[1], they had hosted some of the coolest discovery demos for non-mainstream (in my case ambient/IDM) where you would feed it a youtube video URL and it would make a really compelling radio playlist based off it. i found so many artists i still listen to today by just sticking a video in there in the morning and coming back to the tab when something incredible popped up.
When Spotify bought TEN i considered moving my listening over, but the radio button we ended up with in Spotify and Youtube Music are huge disappointments in comparison, so corporatist and flattened to 1.5 dimensions, I always wondered how the magic was lost.
Bandcamp's feed (especially once you trick the UI in to showing you how to follow tags) is usually interesting to leave running but limited in its own way by the artist pool lacking mainstream tentpoles to jump off of.
[1]: https://en.wikipedia.org/wiki/The_Echo_Nest
I use it with Spotify to track my listens and sort by artist, album and the like. It definitely still has value, even for Spotify users!
Yep, member since May 21 2005 here, still scrobbling with Spotify. Don't think I've ever used any of the radio features on the site, really; even back in the 00s all I used were the WinAmp/Foobar plug-ins.
I would argue it’s still unparalleled for recommendations