Suhit Gupta
07-17-2007, 05:00 PM
<div class='os_post_top_link'><a href='http://www.mufin.com/sign-in' target='_blank'>http://www.mufin.com/sign-in</a><br /><br /></div><i>"You've never heard your music this way before: Mufin MusicFinder from MAGIX is the first MP3 Manager in the world that knows what you want to listen to before you do! Mufin analyzes the song's sound and creates an entire collection with a click – for songs that perfectly match the track: Experience the music on your hard disk, on your MP3 player or on the Internet in a whole new dimension. Dive into an exciting music network and look forward to a new type of music experience without any annoying searching or sorting."</i><br /><br /><img src="http://www.digitalmediathoughts.com/images/musicfinder.jpg" /><br /><br />Here is a great example of how collaborative filtering can be used to help consumers tremendously. Amazon perfected it many years ago and now it looks like Muffin is applying it to the music field. It looks like Muffin has a number of music recognition algorithms in place. And then, after doing clique analysis (i.e. what groups of users like the same time of music) they seem to recommend music to users. Of course, I think it is a little bold of them to say that they can almost predict what the listener would want to listen to (the mention of adjusting based on mood is implied in a couple of cases) but I haven't tried the product out yet - downloading as I write this - so I might be eating my words shortly.