Yahoo! Music Personalization Primer + Pandora, Last.fm, Soundflavor
Posted by tbeaupre, February 10, 2006 at 6:02 pm, in YMusicBlog General, Yahoo! Music Unlimited. 24 CommentsYahoo! Music has been offering personalized music recommendations to music-lovers for more than 6 years.
Recently there has been a fair amount of buzz over some new music recommendation offerings, and we thought we’d share our thoughts on these products as well as our own, and ask for your thoughts in return.
First, in case you’re not famliar, let’s start with an overview of some of the music personalization that Yahoo! Music provides. In 1999, LAUNCHcast hit the scene, offering each user the ability to customize a station based on his/her favorite genres, artists, albums, and songs. As the music plays on LAUNCHcast you can rate it, and your ratings will teach LAUNCHcast more about what you like (or don’t like), so it can recommend similar music as well as help other fans find music they’ll like (in the same way Amazon shows “people who bought this also bought”). LAUNCHcast Plus enables folks to create Moods that focus their station on particular genres and discovery levels. On My Station page, you can see I have have some moods for discovering Adult Alternative (that I haven’t yet rated) and Groove music (focused on electronica, jazz, and blues). If you haven’t created a station yet, get started here. It only takes a minute.
Soon after LAUNCHcast radio, we introduced similar functionality for music videos and added fan radio stations, where you can listen to a stream centered around songs liked by fans of a particular artist. Just search for your favorite artist, go to the artist page and look for the “Fan Station”. While fan stations are not personalized based on your individual ratings, they are based on aggregated listener preference ratings, of which we’ve collected over 6 billion (!) to date. See below for a comparison of the music our “Fan Stations” plays compared to the competition.
In late 2004, Yahoo! Music acquired MusicMatch, which offers quite the complement of personalization options, including implicit personalization based on the music you play (no rating required) and AutoDJ, which enables listeners to create highly customized similarity and criteria-based playlists with just a few clicks. We are working hard to integrate these great MusicMatch features into Yahoo! Music so we can offer you the best of both worlds all in one place.
This past year, we expanded our personalization features by showing artist, album, song, and new release recommendations within the Yahoo! Music Engine and through the Yahoo! New Music Alert, the only service offering personalized new music recommendations via email, SMS, and/or IM each week. This means that while iTunes and other folks are forcing Barry Manilow and Destiny’s Child down everyone’s throats on their homepage and in their blast emails, you could be getting your own personalized notifications of new releases by your favorite artists that only you care about in email and on your personalized Yahoo! Music Engine homepage. I got notified of Watashi Wa’s new album, based on my LAUNCHcast ratings, while Ian was notified about Jello Biafra and The Melvins and Michael was notified of The Presets. We also brought back the ability to browse members with similar music tastes (In Yahoo! Music Engine, go to My Music Profile -> Browse Similar Members), based on your ratings. We leveraged our similarities data to bring you similarity-based playlists centered around artists or songs, accessible from the artist and song pages in Yahoo! Music Engine.
It’s challenging to build a system that delivers tens of millions of music fans exactly the music they like, including music they might not know they’ll like. We’ve spent a good bit of time tweaking the algorithms over the years to minimize the amount of effort our users have to put in, and also appeal to the users that want the maximum amount of control possible. Our personalization aims to provide the perfect mix based on a variety of data sources, including similarities, genre categorization, editorial input, your ratings, what’s popular, what your influencers like and what you’ve heard recently. We feel we’ve made a good bit of progress over the years, but there’s always room for improvement, and we’d love your feedback.

We’d also like to hear your thoughts on the other personalized music offerings out there. Some that have caught our attention lately include Pandora, Last.fm, and Soundflavor.
Pandora offers similarity playlists based on one or more artists or songs (similar to our fan radio stations). However, unlike our fan radio stations, which are built from the music an artist’s fans rate highly, Pandora’s come from a database built by music experts who have painstakingly attempted to classify music based on attributes like instrumentation, melody, orchestration, and rhythm. My experience with Pandora is that it tends to promote music more obscure than LAUNCHcast fan radio. And while they do let you provide feedback on the station for each song that plays, it does not appear that you can customize your station beyond specifying the seed artists and songs (for example, by rating music on a scale or saying “never play again”). Pandora’s flash player is pretty nice looking, with convenient preset access and nice album art. However, it lacks links to additional information like music videos, biographies, reviews, news, similarities, and discographies (aside from shopping). Overall, I found the Pandora experience to be a bit novelty, appealing to hard-core music afficionados who really want to dig deep into obscure music. See below for an example recommendations face-off, where I thought Pandora’s recommendations were a little off-target.
Soundflavor is another site that showcases recommendations based on expert tagging, from a company called Siren Systems. Some of their more interesting features include song and playlist similarities/recommendations (like Pandora, based on the attributes of songs, as opposed to listener tastes). I’ve found these recommendations to be decent, especially at the song-level, but they haven’t completely wow’d me. How about you? Have you found examples where Soundflavor’s attribute-based similarities blow away the taste-based similarities that Yahoo! Music offers?
I’ve been reporting my plays in LAUNCHcast and Yahoo! Music Engine to Last.fm via their Audioscrobbler plug-ins. You can check out my profile here. It’s been interesting to watch what I play most, and it’s helped us think about how implicit personalization based on plays might factor into personalization. For example, during the holidays, I checked out some Michael Bublé and a holiday CD by the Carpenters. I was a little alarmed to see those artists go to near the top of my Top artists lists. I definitely wouldn’t want those artists as inputs into my personalization, as I was only in discovery mode when I listened to them. I recently checked out my personal Last.fm station, and it was pretty decent. Their customization is pretty straightforward, with simple “love it, skip it, ban it” (hmm, wonder where they got those ideas from!
) It’s too bad they don’t offer the customized radio for free (Yahoo! Music does). Like Yahoo!, Last.fm also offers neighbor browsing and similarities. Overall, I’ve found their charts and similarities to be rather popularity-skewed. Radiohead and The Postal Service seem to show up everywhere. I especially like Last.fm’s journal recommendations which directs you to community posts that mention your favorite artists. This sort of functionality has been on our internal wishlist for a number of years, and it’s nice to see last.fm making it happen.
Here are some results of a test we did comparing the results of Yahoo! Music LAUNCHcast Fan Radio to Pandora to Last.fm Artist Fan Radio for Black Eyed Peas. We’ve highlighted results in red that we think are not-so-great recommendations for Black Eyed Peas fans. What do you think?

Here at Yahoo! Music, we’ve tried hard to lead the music personalization space, and we’ve been thrilled that tens of millions have customized a LAUNCHcast station and/or used Yahoo! Music Engine recommendations. Of course, we’d love to offer all of the features outlined above, but our resources are limited and we have had to pick and choose what to focus on. As we look ahead to 2006, we’d love to hear what features you think would be most valuable to you and the broad music audience. Would you rather us focus on improving the quality of the existing recommendations or add new types of recommendations (like recommended music videos, playlists, etc.)? What’s working for you in LAUNCHcast and your Yahoo! Music Engine recommendations? What isn’t? Share your experiences with us (via comments on this post or via our yme-feedback and launchcast feedback groups) so we can improve personalization to meet your needs. After all, it’s our mission to provide the best “music that listens to you”.
Todd Beaupré
Director, Personalization
Yahoo! Music
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Todd, clearly what’s needed here is a robot music recommendations recommendation robot. Thanks for being a lesser, albeit human, proxy in a pinch, but I’ll wait for the upgrade.
Rob
Comment by roblord — February 10, 2006 #
I first started using launchCast about two years ago. It wasn’t more than a week before I wanted to upgrade my account. Since then, I have purchased at least 15 albums because of launchCast’s recommendations that I never would have without the service. I think that’s saying something. I have enjoyed the service so much over the past 2 years, but I can’t enjoy it anymore.
In November I switched to Mac. I know you are probably sick of hearing it by now, but in order to keep this service popular, in my opinion, it needs to be able to run on several browsers, which also means several operating systems. I knew getting a Mac that I would loose the ability to listen to launchCast, and it was actually a major hesitation in my decision to make the switch.
I also see launchCast as a gateway. This free personalized radio service was so good it got me to pay for it monthly, and because I was allready paying for that, I didn’t mind upping the subscription a few bucks when the Yahoo Music Unlimited started. I went from a $0/month customer to a $7/month customer just because of launchCast. I know that’s not a lot, but by supporting multiple browsers I really think you’re missing out on a big market of people who love music and are willing to pay for it.
If there are any improvements in launchCast at all, I think that Firefox support should be at the top of the list, anything else is useless to a lot of people.
Thanks for listening, sorry to write a novel,
Mark
Comment by mhusson — February 10, 2006 #
As a music fan, I’d like to point to a couple of then/now experiences I’ve had with Yahoo! Music’s recommendations:
THEN: When I was in high school (graduated 1990, just to put it on the time continuum for your) I used to beg my mom to drive me from Goshen to South Bend, Indiana to go to Trax records and buy Maximum Rock N Roll Magazine. Then I’d go home, read the reviews, have my mom write checks, and order albums like the first OpIvy and Isocracy 7″s and The Victim’s Family’s “Things I Hate To Admit”.
NOW: I open Yahoo! Music Engine from anywhere in the world and it tells me there’s a new Jello Biafra and The Melvins album in the same place on the page that iTunes would have showed me some lame “iTunes becomes eclectic” bullshit.
THEN: In college I ordered all the Can (amazing German experimental rock) CDs from some european online store that was only available via telnet. They were $30 each, plus international shipping and a three week wait.
NOW: When the Can albums came available in Y! Music Unlimited, there they were on the home page, saying, “HEY COME LISTEN TO ME!”
It’s hard to deny the difference in experience an accessibility this creates. Not to needlessly evoke The Long Tail meme, but clearly items in the tail not only become much easier to find, but it also becomes much more likely that they’ll find you, and with much less effort.
Robby, you’re right that this is merely a best guess and a proxy for the human approach. Clearly we believe in the human sharing approach, note the Email/IM/Link buttons on every album page, and the ability to do the same thing with playlists.
But remember that these recommendations *are* created with human input. We aren’t recommending bands that “sound like” Radiohead to Radiohead fans. As a Radiohead fan that would be the *last* thing I’d want, some lame sound-alike. We are, however, recommended Beck to Radiohead fans. Even though they sound nothing alike, we can easily recognize the tendency of those fan bases to overlap.
Finally (talk about writing a novel), I really haven’t found that Pandora recommends much obscure stuff as you (and Steve Clark) have argued. I put in Bob Dylan and got a station with Donovan, Townes Van Zandt, Springsteen, Bob Seger, The Doors, and CCR. Nothing too obscure there. In fact I’d say Springsteen, Seger, The Doors, and CCR are borderline bad matches for what I’d expect from a Dylan station. Even if it had been playing Dave Von Ronk and Ramblin’ Jack Elliot I’d have given it a pass.
Also, I think it’s incredibly ironic that Pandora has gotten all this “Web 2.0″ buzz when IT DOESN’T LEVERAGE THE POWER OF THE NETWORK. A bunch of monkeys at keyboards classifying music is about as closed a system as you can get.
ian
Comment by iancr — February 11, 2006 #
I’ve been using all three services for varying lengths of time and love them all [especially the communities and groups in last.fm (formerly audioscrobbler)like it so much I subscribed for a paid account and it got better]. I’ve only recently started using Pandora. It seems okay. I need more time to develop an opinion though. Launchcast has always rocked with the expansion of genres in Plus and its wicked cool rating system. The new features which link to YME are gresat too.
Big thumbs up to Ian for his customer support and taste in groups like The Can.
Comment by enoch — February 11, 2006 #
One feature that would be nice is to build a playlist within YME based on several songs (i.e. up to 10?) to help target the selections as opposed to the feature that builds a playlist from just one song. Also – it would be nice to “Wall off” the play-list ratings (if one wanted to) to not affect the overall profile…Also on the moods in LaunchCast – does not seem you can create a playlist from a “Mood” station – just from the primary? Perhaps I am missing the “how to” here….Overall the YME is better than any other engine I have used.
Comment by EB_Baller — February 11, 2006 #
Very interesting post, thanks. My only reservation is how fair and robust your “Black Eyed Peas test” is. There’s one issue about how replicable your judgements of ‘not-so-great recommendations for Black Eyed Peas fans’ would be among other experts. But secondly, and I think more importantly, there’s the question of whether doing a test based on just one band name (rather than an extended listening session) is properly representative.
I think you could argue that a good personalisation engine would start off by making a broad set of recommendations in order to avoid making too rigid and blinkered assumptions about a listener based on limited evidence. A more rigorous and interesting test of a recommendation engine might be how well it responds to extended ‘training’, and whether it gets into all the corners of someone’s musical taste, rather than just the middle of the room.
Comment by davidjennings — February 12, 2006 #
Ian,
Huh? Don’t front for robots. And your arguments entirely miss my fundamental point.
“But remember that these recommendations *are* created with human input.”
Yeah, remembered. Absurdly arbitrary inputs human; aburdly arbitrary outputs robot.
“We aren’t recommending bands that “sound like” Radiohead to Radiohead fans.”
First, don’t associate “we” btwn humans and robots, besmirching both.
Secondly, you’re wrong, sounds-like definitely enters the decision matrix at the human or robot level, but that’s moot.
Lastly, my point remains that a robot music recommendation makes as much sense as robot music recommendation recommendation robot, that is, that only human (and I use the term loosely wrt Todd) perception avers a difference — no effective secondary robot might exist.
To engage my point, argue that music affinity is deterministic, not indeterministic. You’ll lose. Argue that there is an intrinsic, universal human response and cultural sinew propagated by, say, Bowie’s Low. That’d be excruciating.
Launchcast is doomed. Pandora is doomed. Robot music recommendations and the hard AI swamp from which it crept is doomed. Stop hurting music.
Webjay shall soundly trounce Launchcast and none too soon. Go Lucas go.
Comment by roblord — February 13, 2006 #
Rob,
I like this argument as much now as I did at Pac Dining Car more than two years ago. It’s academic and looking for absolutes rather than useful solutions in the short-term. To say algorithm-generated recommendations and affinities are useless is to say that my THEN/NOW examples provided no value to my music experience (which would be fun-hating horseshit and you know it). It’s to say that “people who bought also bought” provides no value on Amazon (ditto).
Sure, sounds-like is a factor in the human input, but I’m amazed how good the recommendations can be when it’s hardly possible. Check the album recommendations for Alice Coltrane’s “Journey in Satchidananda” or recommended artists for Captain Beefheart. You telling me there’s a lot of “sounds-alike” there?
You act like the argument is *instead* of human-to-human sharing. Amazon has algorithmic recommendations AND list-mania. Should they remove the recommendations? That’s what you’re arguing, no?
Clearly we’re in agreement on Webjay’s value.
ian
Comment by iancr — February 13, 2006 #
I think all of these services are valuable. The only question is which are the most valuable?
Some despise “robot recommendations”, as I do, but I’m far from your average music consumer. My dad on the other hand LOVES Launchcast. He doesn’t know a lot about music and wants to click once to start the music and forget it.
Many fall into this category.
Pandora isn’t that great when compared to Launchcast recommendations. But it rocks when you enter a song name. Try entering an obscure song you love and seeing what it kicks back. I have only done this twice, but was impressed with the results. Not because I found new bands, but because I could hear the similarities in songs across genres. Pandora can tie moods and instrumentations together well, as long as the initial song is not that complicated.
Now, if I could enter a producer, sideman, instrument, time signature, key, chord progression, subject, situation, etc and have it kick back the best songs with the parameters I set you’ve got something.
SELECT song
FROM YMU
WHERE genre = funk or soul
AND year = 1977
AND quality > 8
AND subject = girls
AND guitar_effect = wahwah
Comment by Robert of the Radish — February 13, 2006 #
I have heard a couple comments about the bake-off not being valid because I’ve only compared one artist. I actually compared quite a few artists, and only included one primarily due to space considerations. I invite you all to check out other artists and post your comparisons. I found Yahoo! Music’s fan stations to be more compelling than the others’, but I would like to know what you think as well.
Comment by tbeaupre — February 13, 2006 #
Great post Todd. To me, Last.fm and Soundflavor are social networking sites that are built around music. Sure they recommend music, but that’s a by-product, not the primary focus. Pandora is far more interesting to me. It’s all about recommending music. The results are often too obscure for my tastes, but it’s an interesting service. What makes YME/LC+ perfect for me is that my rating effort leads to music discovery. I hear things, I rate them, YME learns from that, and sends me new music I usually like. The more you can tie LC’s ratings with MusicMatch’s music discovery engine, the happier I’ll be.
I’d love to see MM’s AutoDJ make it to YME. Or at least let me create a Similar Artist Playlist from the artist page AND the More Mainstream/More Obscure pages (for that artist). The playlist generator that made it in the new release for device syncing gives me hope AutoDJ will come soon…
Comment by buchananmb — February 14, 2006 #
Ian,
I’m not suggesting robots are useless; I’m insisting they are pernicious. The traditional radio model at least joined people in herded mediocrity. Robotcasts are reductivistic, arbitrary dead-end singularities. Robotcasts hurts music in ways broadcast and muzak couldn’t attempt to achieve.
b0th4t3r4l!f3,
r0b
Comment by roblord — February 14, 2006 #
The Yahoo! Music Blog Rocks…
I’ve recently realized that the Yahoo! Music Blog is my new favorite Yahoo blog–official or not. As noted by DJ Alchemy: This isn’t the way we are used to billion-dollar corporations talking to their customers. In these and other examples, Yahoo emb…
Trackback by Jeremy Zawodny's blog — February 14, 2006 #
Rob,
“The traditional radio model at least joined people in herded mediocrity.” You seem to be implying that traditional radio mediocrity is better that what we offer? Based on what value?
LAUNCHcast and recommendations leverage herds for their advantages, but do not reduce everyone’s experience to the lowest common denominator. They enable more diversified herds, each of which is more tuned to its members’ tastes than the traditional radio model.
Care to provide any evidence to support your theory that our recommendations and customized radio are described accurately by ANY of the $2 words you used?
* pernicious (causing great harm; destructive… of what?)
* reductivisitic (minimizing… our product does not focus on a few characteristics, but millions of music fans’ opinions, which are far from simplistic)
* arbitrary (seems like a filler adjective)
* dead-end (based on comments I’ve seen from many users, LAUNCHcast broadens music horizons both in terms of consumptions and relationships with other music fans. personally, the best man at my wedding was someone I met through LAUNCHcast 6 years ago because we shared music interest in an obscure artist. he’s still a great friend, and we would not have met through broadcast radio)
* singular (while there is individual control, recommendations are largely based on opinions of users with tastes in common)
Also, recommendation systems are not predicated on affinities being deterministic or music generating a universally singular response. One person can like a certain peanut butter and boysenberry jelly sandwich because of the chunky peanut butter. Another person can like it for the raspberry jelly. A good recommendation system can deduce chunky peanut butter tastes from boysenberry jelly tastes, and use that knowledge to recommend great foods that might taste nothing like either, but are nonetheless delicious to you and your idiosyncratic human art-loving herd.
Comment by tbeaupre — February 14, 2006 #
OK here’s a seed I’d like to plant.
OpenTaste.org.
End-users want to be able to move their personalization and behavior patterns between systems.
I’ll leave it up to you nerds to figure out how to do it – but let’s not let these ‘tastes’ be used as a form of lock-in!
Comment by marccanter — February 14, 2006 #
[...] One particularly interesting post is on various personalization systems. [...]
Pingback by Marc’s Voice » Blog Archive » Yahoo Music Blog — February 14, 2006 #
I’ve not tried Yahoo Music but Jeremy’s blog post about you guys got me interested. I buy more music a month than is probably good for me and I’ve tried Pandora and Last.fm both for sources of new music.
You know what those two services have over Yahoo Music? They work on my Mac and with Firefox.
I would really truly like to try your stations – they look Great. But I can’t.
Drop the MS Monopoly nonsense and gain some more customers (we’ve already proven we have open wallets – we bought a Mac, didn’t we?).
Comment by danielcole — February 15, 2006 #
Having used Pandora some, I agree, it is pretty much novelty only. While it is nice to run into some obscure artists, I’ve found that you constantly have to add in new songs and artists to your station or you end up with the exact same sound over and over.
I’m serious. It’s a total dead end for someone with eclectic tastes like mine. Even after I based my station on a rock song, a rap song, a trance song, and throw in maybe Hootie and the Blow Fish for a few suprises, within a week I ended up with 10 drum-and-bass songs in a row. Who’s running this thing?
LaunchCAST has much more leniency especially with it’s moods. Sometimes I’m good for anything, other times, like during Calc homework, I need a something more ambient and electronic.
I love Y!ME so far. It has it’s kinks, but every other program in the world goes through the same. I’m gonna hang out with you guys for a while and watch what comes out.
Also, one feature I really would like to see you guys adopt: I would love it if I could with a simple click snatch the first 10 or 20 songs off of my recomended list and drop it into my MP3 player. Right now, I list all songs, drag the first 20-ish to a playlist, then drag the playlist to my MP3 player. I could do the automatic synch, but I’m still manually working with my playlists. Not a big deal, but it would really rock.
Comment by krinderlin — February 15, 2006 #
Thanks Todd — this posting was very timely for me, as I’ve been going Last FM crazy the past couple of weeks (http://www.last.fm/user/indiesoc). A long-time Launchcast listener, I’ve been intrigued by the options that Last FM presents. First, it is much easier to set up new “stations” via the tag process. To sample new artists, just pick 15 that are available in the database and . . . you’re off (with subscription)! It is also a great way to explore less popular genres, such as psychedelic pop, krautrock, or post-rock, via (free) global tag radio. These genres and many others simply have no presence on Launch. Last FM has 2 other advantages worth mentioning: the free service allows unlimited skips (unlike Pandora and Launch), and access to music from the Beatles and Beastie Boys.
I’ve also gone back to Pandora, and, taking Robert’s suggestion, entered a song title, with some pretty great results. I’m well versed in obscure bands, yet Pandora gave me artists I had never heard of that were also, in fact, similar to the song I had entered. I understand Pandora/Music Genome Project is a song-based recommendation system, so it might be that it works better when you enter a song rather than an artist. The obvious downside of Pandora is the user’s lack of control, including not knowing what is in the database.
While both Last and Pandora have done a better job than Launch of introducing me to new music in the recent past, this has a lot to do with the fact that they provide, for me, untapped databases of music. I would still recommend Launch as THE place to start exploring for newbies. But, I do wish it were easier to find the hidden gems in the Launch database. The algorithm prioritizes new releases, but most everything else has to be searched out artist by artist. Fan stations are useless, since they play the most popular songs in the artist’s given genre and little else. (I was going to include my rant about the Zombies fan station here, but I’ll spare you the gory details.)
In the end, I’m glad all of these sites exist. As far as music discovery options are concerned, I say the more, the merrier!
Comment by indiesoc — February 15, 2006 #
Discover New Music…
Inspired by the latest entry at Yahoo! Music Blog, I registered at Last.fm and started feeding my playlist information to them via the AudioScrobbler iTunes plugin. My profile there is slowly building and I am looking forward to checking out what their…
Trackback by Andrei Zmievski — February 17, 2006 #
You know, I finally started using last.fm just before I read this post after coming over from Jeremy Zawodny’s site. So I figure hey, I should give Yahoo! a chance, right? But because I finally collected enough taste to switch to a Mac last year, you know how this story ends. Shame and heartbreak, baby. Why must this be?
P.S. What, I’m supposed to use Netscape Navigator 4? Hi-ho, I’m surfing Arpanet! Sure, I guess I could download it from Decrepit Browser Depot, but then I could also turn on the radio.
Comment by zachbaker — March 4, 2006 #
[...] Play It! A recent post at the Y! Music Blog got me thinking about music recommendation software like LAUNCHcast, Pandora and Last.fm. I definitely think they have their value, but I still feel recommendations by real people are superior. These services are great for folks without a lot of time or knowledge and are also good tools for playlisters to augment their work. Let me know what you think? This playlist features songs recommended by Pandora as sounding like “Glōsōli” by Sigur Ros. I had to disregard a bunch of dogs by Chicago, Celine Dion and Peter Cetera to come up with this list. [...]
Pingback by » Sounds Like “Glōsōli” by Sigur Ros - Yahoo! Radish — May 8, 2006 #
[...] Sounds Like “Glōsōli” by Sigur Ros Play It! A recent post at the Y! Music Blog got me thinking about music recommendation software like LAUNCHcast, Pandora and Last.fm. I definitely think they have their value, but I still feel recommendations by real people are superior. These services are great for folks without a lot of time or knowledge and are also good tools for playlisters to augment their work. Let me know what you think? This playlist features songs recommended by Pandora as sounding like “Glōsōli” by Sigur Ros. I disregarded a bunch of dogs by Chicago, Celine Dion and Peter Cetera to come up with this list. [...]
Pingback by » Sounds Like “Glōsōli” by Sigur Ros - The Rhapsody Radish - Music Playlist Archive — January 25, 2007 #
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