Spotify's recommendation system is much better than youtube's (at least for me). I frequently "joke" that it is one of the few applications of ML that actively make my life as a consumer better.
Having been following Spotify's "Discover Weekly" for several years now, I'm actually really impressed how it manages to blend my long-term taste with recent moods. If I've been listening to one type of music for 1 or 2 weeks, there will be a noticeable uptick of it in the recommendations, while still mixing in less recent tastes.
I have no non-english songs in any of my playlists and when they show up on discover weekly i flag them.
I would think that recommending me Spanish/Russian music when my entire collection is english should flag a problem with the system?
Yet week after week at least one song on discover weekly is in some foreign language.
It is a bit hard to listen to/enjoy music when you cant understand a single word.
Sure they had "gangnam style" but that was really a more a "one off".
> I certainly would not want it too.
I'd love to know if the majority feel this way.
given there are countless articles such as this: https://community.spotify.com/t5/Desktop-Windows/How-to-get-...
i would think most find this annoying?
When I was young we (in all the kids my age) listened to plenty of of English music even though we didn't understand anything. And let's not even talk about the plenty of examples of songs in English where even native speakers don't understand the majority of the lyrics.
Put things in perspective for me - we really live in a bubble here. I guess Spotify could help reinforce that if that’s what the market wants.
But anecdotally, I only speak English and I listen to lots of Finnish, Swedish, German, and Norwegian music.
I don't know if Spotify just started recommending this stuff based on the few metal bands I knew from those places, but it started recommending other genres too and I really like lots of it. Not sure how I'd find this music otherwise, actually.
But besides that, great music does not need to spell it out to convey meaning and emotion.
If the appreciation of a foreign song keeps growing, I will eventually look up a few translations. Their mixed interpretation usually only enhances an already enjoyable experience.
https://community.spotify.com/t5/Accounts/How-do-I-delete-my...
https://community.spotify.com/t5/FAQs/What-is-Private-Sessio...
I did consider creating another "gym-only" user on our Family plan, but Spotify should really have a way to create named contexts for the one user. e.g. commute, gym, run, working from home, on a plane, etc.
But that is too complicated!
i said 'usually' .
Which is weird in case of Apple Music because Apple knows exactly if I am sleeping, running or driving a car - just from reading my watch.
You say that, but I attended a conference with Spotify- they are specifically working on that problem now.
Time of day aware recommendations is something YouTube seems to have had for years. It always knows what to give me up top based on if I'm sitting down for dinner or lunch or if I'm looking for an audiobook for bed etc
Why isn't late evening before sleep good for heavy metal? I listen to the same music I listen to all day before sleep if I had music on.
The music I listen too doesn't change no matter where I am or the time of the day.
1) aren't doing the sensor fusion we all think they are, out of inability to access the data.
2) the models (and therefore modelers) aren't good enough to use the data they have correctly.
> Row row row your boat doesn't mix well with Anthrax
I'm not so sure about that. Have you heard Koяn's Shoots and Ladders?We listen to a lot of Disney music, etc in the living room on my account, but I've never had that type of thing show up in my Discover Weekly or any of the Daily Mix playlists.
I will be very displeased if/when it does happen though.... Discover Weekly is a major reason I've paid Spotify for so long.
Algorithms cannot be left running totally when sponsored ads can be purchased on the fly by content creators and musicians unless a site is lying to ad buyers about ad effectiveness.
I have two children, myself. I just installed second account on an old phone which has no SIM card in it, it has all the kids playlists and I don't have to worry about them getting recommended any of my 90s thrash metal. :)
(and I am back to caring for my own mp3 collection again and use spotify only for rare and new stuff)
Come on, guys, I'd expect better from HN than complaining about features which already exist.
https://community.spotify.com/t5/FAQs/What-is-Private-Sessio...
I've had the opposite experience with Spotify - I'd say my discovery of new music has withered to almost nil since switching when Google Music shifted to YouTube.
The algorithm just churns stuff I've already listened to, or suggests artists with (consistently) two songs that feel like Spotify's own fake artists - session musicians generated to capture royalties in-house.
Is this something you have any references for? It sounds super interesting, like shadow kitchens for music.
It is cryptically called "hide activity" in my translation of Spotify.
Anything suggested on the front page is either songs i already have in my liked songs or completely out of place. And the songs that i've already liked are from a few specific genres and artists, which seem completely random.
A few examples:
* Ratatat and Röyksopp both are in my top 5 of all time according to Spotify's own stats, yet I never got any suggestion about E.VAX, Kunzite, or Röyksopp's releases (their Lost Tapes playlist and their latest album, released about 4 months ago).
* the 'recommended for today' section is regularly filled with random synthwave when it's a genre i barely ever listen to, and a lot of 'electronica/trance/organica/deep house/whatever you want to call it', which i don't really listen to either (at least this kind of electro music).
* still, the worst offender has to be podcasts. I have zero interest in podcasts, have never clicked on any and likely never will, yet it's always the first thing on the app homepage, just below 'recently played'.
I've tried to use the browsing categories but these are most of the time just as poor, they only contain a few playlists and the latest big releases of the genre.
Highly subjective, but i'm tired of personalized suggestions & feeds. Just because I watched or listened to something does not mean I want more of it. And imho 'just use a no history session' or 'click not interested' do not solve the problem, especially since the argument in favor of recommendations seems to be that it is 'more convenient for the user'.
Why can't I just browse instead? Spotify has a very extensive way of categorizing songs based on multiple characteristics (https://developer.spotify.com/documentation/web-api/referenc...), so why can't I just use that when searching for new music, directly in the normal app?
Podcasts are so heavily pushed by Spotify because they're trying to make themselves the centralized one stop shop for your audio consumption. They didn't pay Joe Rogan millions for no reason.
As a man under thirty, I see the JRE logo on the front page of my Spotify at least five or six times a month. I have no interest in listening to podcasts on Spotify. I very much dislike Joe Rogan. I hit the option to not request it to me again, and yet there it is.
They're not recommendations based on your taste. They're a mix of just enough of your taste so that you trust and buy-in, mixed with whatever flavor of the week the recommendation engine would love to sell you.
I hear this all the time but Spotify just plays stuff I've listened to. It's not a discovery service for me, it just plays the hits.
I'm wondering if that's just what it is and everyone likes it because it's playing stuff they already like for twelve tracks and then one new song.
Last.fm used to be good discovery service until it went downhill years ago, there should be services willing to take that niche
I've heard reports of this happening but for well over a year, YouTube was still recommending relatively high quality videos to me that went along with my interests.
Until last week.
Somehow, somewhere along the line I must have clicked on some sort of "influencer" video. Now all I see are hundreds of hyper Minecraft videos, "I filled my house with 1 million packing peanuts" videos, etc. I have tried manually searching for some of the topics that interest me again, but these influencer-type videos still overrule whatever I try to manually teach it.
I don't know what happened, but it has ruined it for me.
I can vaguely see why YouTube is pushing right-wing conspiracy videos on me, but Minecraft? Mr. Beast? I’ve blocked perhaps two or three dozen of these channels. Take the hint, YouTube.
I put the word independent in air quotes because they all have near-identical looking title cards with the similar fonts, some variant of the phrasing "The collapse has begun!", and the same-ish content. Different presenters, different channels, same message. Over and over. And over.
Reminds me of the "This is Extremely Dangerous to Our Democracy" clip that edited together dozens of apparently independent local news channels saying the same script, verbatim.[2]
You've got to wonder if there's someone with deep pockets trying to influence public opinion on China? Or is it just the same thing as the "local" news channels, where a bunch of YouTubers have been "bought" by a corporation that send them material to read?
I would love to know if anyone on Hacker News knows something about this kind of thing...
[1] In case you're interested: https://www.youtube.com/results?search_query=stoic+finance
...and some copy-cats clips I recommend opening in a private tab unless you want to be inundated with even more clones:
https://www.youtube.com/watch?v=6slQLbT_fNY
https://www.youtube.com/watch?v=0-tLenP5NA4
https://www.youtube.com/watch?v=iDVNag9Pq7s
https://www.youtube.com/watch?v=4JEdz1eA2vQ
[2] Entertaining and terrifying: https://www.youtube.com/watch?v=ZggCipbiHwE
Either China has to indefinitely grow at 10%+ per year (it's becoming obvious that's not going to happen), or the Yuan or Chinese home prices (~50% of Chinese wealth) are massively overvalued.
These are the least likely options.
The most likely case is that the channels are all copying each other. Even if they were all put out by a couple content farms, it's extremely unlikely that the content farms care about anything else but making money. The only thing they likely care about is that people watch videos like those.
People trying to make easy money is, by far, more common on YouTube.
[0] as an aside, I only just made the connection that 'feed' is likely an abbreviation of 'newsfeed' but also brings a strong and stark connotation that I'm livestock to be fed
The saying "power corrupts" applies to this circumstance perfectly.
Spotify manipulates recommendations to what makes them the most money, not necessarily what is best for user satisfaction. They do it just enough to prevent users from cancelling their subscriptions as well (usually).
I was once a heavy user of Pandora, I am now a heavy user of Spotify, and I'm considering switching back. I think you're right.
But, having experienced both services at the peak of their quality, I think "stronglikedan" is correct, that Pandora has a greater ability (in addition to a greater desire) to analyze the way that music sounds.
>That's why I thought this story was about recommendation systems recommending either only narrowly what you already know, and finding something new is not really well supported or not better than random, or that one outlier can skew your recommendations for a long time.
This kind of problem is exactly why we are building alternative YouTube recommendations. Search a channel to find more channels making similar content:
Click on icons in the lists to go to that channel's list. You can "surf" along that way to discover new content.
One can only handle so much Cotton Eye Joe and Black Betty...
With respect to news, these systems are driving polarization in politics.
Happens to me a lot on Youtube too - you watch just one thing - and now your recommendations are full of things like that one thing. Or Facebook/Youtube, somehow: I watched a single video on Youtube about Viking sword fighting and suddenly my people recommendations on Facebook were at least 20% militaria fans, always visible from the profile picture already. It finally stopped but it took well over half a year.
That's why I thought this story was about recommendation systems recommending either only narrowly what you already know, and finding something new is not really well supported or not better than random, or that one outlier can skew your recommendations for a long time. Worst is there is no way to tell the system "stop recommending me this kind of stuff" at least for the second problem, no manual way to make adjustments for the user.