Comments on: Mufin Opens Automated Music Recommendation Engine To The Public

By: Mufin Incorporates Powerful Recommendation Engine Into New Native Music Player

Mufin Incorporates Powerful Recommendation Engine Into New Native Music Player — Fri, 27 Feb 2009 18:00:52 +0000

[...] at the moment, but Mac users can still try out the recommendation technology at Mufin.com, which launched to the public in [...]

By: theyurinator

theyurinator — Sun, 30 Nov 2008 22:45:35 +0000

Might work well with main stream music but it’s results with electronic music were horrible

By: Mufin Music Recommendation Engine Finds Tunes You’ll Like - Softsaurus.org

Mufin Music Recommendation Engine Finds Tunes You’ll Like - Softsaurus.org — Mon, 24 Nov 2008 19:01:04 +0000

[...] New music discovery search engine Mufin finds music you’ll like by analyzing songs for similarities. We’ve seen several tools offering similar results from these sort of “audio fingerprints,” but according to tech blog TechCrunch, Mufin’s analysis actually works really well. Apart from the basic search engine available on their homepage, Mufin also offers different software and widgets to integrate the app with other music tools—including Facebook and MySpace apps, a Windows-only iTunes add-on (that sort of challenges the sometimes off-the-mark Genius tool), and a Windows-only Music Finder. Mufin is created by the Fraunhofer Institute—the people who brought us the venerated and time-tested MP3 compression algorithm, so it’s definitely got some cred going in. If you give any of Mufin’s new offerings a try, let’s hear how it works for you in the comments. Mufin [via TechCrunch] [...]

By: Mufin Opens Automated Music Recommendation Engine To The Public at PRADA

Mufin Opens Automated Music Recommendation Engine To The Public at PRADA — Sun, 23 Nov 2008 01:32:13 +0000

[...] 轉自TechCrunch [...]

By: McColley.net » Blog Archive » Mufin Music Recommendation Engine Finds Tunes You’ll Like [Music]

Fri, 21 Nov 2008 18:58:55 +0000

[...] About us Mufin Music Recommendation Engine Finds Tunes You’ll Like [Music] Thursday, November 20th, 2008 @ 7:00 pm | Author: admin New music discovery search engine Mufin finds music you’ll like by analyzing songs for similarities. We’ve seen several tools offering similar results from these sort of “audio fingerprints,” but according to tech blog TechCrunch, Mufin’s analysis actually works really well. Apart from the basic search engine available on their homepage, Mufin also offers different software and widgets to integrate the app with other music tools—including Facebook and MySpace apps, a Windows-only iTunes add-on (that sort of challenges the sometimes off-the-mark Genius tool), and a Windows-only Music Finder. Mufin is created by the Fraunhofer Institute—the people who brought us the venerated and time-tested MP3 compression algorithm, so it’s definitely got some cred going in. If you give any of Mufin’s new offerings a try, let’s hear how it works for you in the comments. Mufin [via TechCrunch] [...]

By: maryrosecook

maryrosecook — Fri, 21 Nov 2008 09:49:28 +0000

@Yasser and @pedalpete I’m Mary, the author of http://theperceptron.com Thanks so much for the kind words about the site. Let me know if you have any suggestions for improvements.

By: Yasser

Yasser — Fri, 21 Nov 2008 03:54:53 +0000

I came across the same site too, and i was impressed! Was gonna comment on it but i guess u beat me to it.

Oh btw
Check out http://www.jobstaxi.com
New Jobs. CauseForce. Strands. Carbine Studios. NCsoft.

By: elvirs

elvirs — Thu, 20 Nov 2008 22:53:37 +0000

sorry, just found out the option for discovering similar songs.

By: elvirs

elvirs — Thu, 20 Nov 2008 22:49:01 +0000

I saearch Enya as artist and it lists all Enya’s songs but I wanted to discover other artists like Enya.

By: The 5 Senses: Why Stop at Vision? | ENLIGHTEN3D

The 5 Senses: Why Stop at Vision? | ENLIGHTEN3D — Thu, 20 Nov 2008 22:07:43 +0000

[...] the early reviews of this site seem to be not entirely positive, the folks over at mufin already have my respect for taking a stab at a truly complex problem. [...]

By: Josh

Josh — Thu, 20 Nov 2008 21:24:10 +0000

Why do we “JUST” have to rely on each other? Undoubtedly some Computer Audition techniques (the science of audio understanding by machines) can be used to improve the meta-data and human recommendation system, it’s just a matter of how much and in what way.

With some sort of thumbs-up/thumbs-down system, they could add some machine learning techniques to improve the system over time. Anyways, don’t give up on the potential of a whole field of research just because this presentation of it doesn’t meet your expectations.

By: MariusV

MariusV — Thu, 20 Nov 2008 20:52:59 +0000

I just tried their service on a few artists/songs and it seems to me, as others already pointed out, that, actually, it doesn’t work very well. Most of the queries turned out the same apologies: “Sorry, no tracks similar to * available”.

I am a last.fm user and I believe that, until we will see the first AI (which might be sooner than we think: http://ventureb...tive-computing/ ), this is as good as it gets in the matter of similar music (and other arts) discovery , we just have to rely on each other

Cheers!

By: F

Thu, 20 Nov 2008 20:00:57 +0000

MongoMusic was acquired by Microsoft a long time ago.

By: MP3 Inventors Take On Pandora With Music Recommendation Engine

MP3 Inventors Take On Pandora With Music Recommendation Engine — Thu, 20 Nov 2008 19:32:57 +0000

[...] TechCrunch is high on Mufin, a new service that opens to the public today. Developed by the folks who invented and patented the ever-present MP3 file, the site aims to help you find music you like via “digital fingerprinting technology.” That means the system actually “listens” to music , analyzing dozens of song characteristics, including tempo and sound density.You can use the site without registering; just enter a band or song name. Free sign up will allow you to: [...]

By: Thursday Tech Round-up (Stories worth a damn) : tinyComb

Thursday Tech Round-up (Stories worth a damn) : tinyComb — Thu, 20 Nov 2008 19:20:56 +0000

[...] Muffin, an automated music reccomendation site that actually works launches [...]

By: bob

bob — Thu, 20 Nov 2008 18:42:32 +0000

anyone remember the mongomusic guys? that stuff was by far the best algorithm based recommendation system ever. did not require any history or metadata. i wonder what happened to those people?

By: HmmConvenient

HmmConvenient — Thu, 20 Nov 2008 18:28:46 +0000

Remember theFilter? What happened to those guys?

By: cease

cease — Thu, 20 Nov 2008 18:27:37 +0000

@Glenn Agree 100%, this is a giant FAIL, site is not good. What am I going to do with previews and second the few songs I searched it brought up the same song several times , or songs that were not very good.

By: Glenn

Glenn — Thu, 20 Nov 2008 17:41:55 +0000

I’ve spent a bit of time with this, and I think it fails miserably. I don’t discover any new music through its suggestions, and most are off the mark anyway.

By: m

Thu, 20 Nov 2008 17:26:47 +0000

Well that really narrows it down doesn’t it. You’ve only asked for music from the entire world!

By: Alex

Alex — Thu, 20 Nov 2008 17:21:36 +0000

I wish they’d play full versions of songs rather than just previews, though that would probably be….illegal…for now at least

Found some good Daft Punk sound-a-likes

By: Eric Dewhirst

Eric Dewhirst — Thu, 20 Nov 2008 16:50:15 +0000

I like it – it is not perfect but it is useful. I tried to trip it up with stuff like Rage Against the Machine, Black Sabbath, Lou Reed and yeah they had some weird matches but you can weed through the wrong stuff and find stuff you have not seen in a while.

The UI is super intuitive and you get enough of a snippet of the song to see if you like it. I really like the simplicity of it all – you don’t have to be really thinking about it and you can come across new music that fits into what you like. It is not hard for me to see myself wasting some time on it and then buying the “similar track” using their iTunes link.

Cheers
Eric

By: shamia

shamia — Thu, 20 Nov 2008 16:45:18 +0000

Oh I really really hope Microsoft buys these guys. With all you can eat music subscription on Zune and a killer recommendation engine powered with mixview, it would be an unbeatable combination.

By: Michael Bleigh

Michael Bleigh — Thu, 20 Nov 2008 16:44:15 +0000

I tried three different artists/songs that I wanted more music like and not a one of them turned up any results. This isn’t exactly out-there stuff either (Ben Folds, Postal Service). Perhaps it’s just luck of the draw, but I won’t be coming back any time soon.

By: Raj

Raj — Thu, 20 Nov 2008 16:25:11 +0000

I wasn’t impressed. Some of the results are laughable actually.

They need to be more transparent about why specific similar tracks are displayed. Maybe a visualization that illustrates the similarities, etc?