Somehow, I think this would be less satisfying and productive than recommendations already available, culled from a much larger database by a far more sophisticated and subtle analytical process! For instance, communities like Audioscrobbler, to which my listening history is automatically uploaded by a plug-in in my mp3 client, will show me music I haven’t yet heard that listeners with similar taste listen to. (I love it that by dragging a slider I can control how obscure or popular the recommendations will be, too.)

Several of the artists on the recommendation list I know to be on the mark, in that I have heard of them and gotten the sense they are up my musical alley, although I have not yet had a chance to listen to them. Several others are names I had yet to discover, precisely the purpose of the recommendation system. I am open to your assessments of them (am I going to like Neutral Milk Hotel? Built to Spill? Destroyer, which sounds like the name a heavy metal band would choose for themselves?) or any other recommendations you might have, based on your appraisal of whom I listen to, by the way…

The only problem I find with Audioscrobbler is that I download alot of music from mp3blogs to try it out, which thus will appear to Audioscrobbler as part of my listening habits although not necessarily stuff that I end up liking. To counteract that, I sometimes keep iTunes playing my playlist of highest-rated favorites even when I am away from the computer to exert a corrective influence on my Audioscrobbler statistics. Weird, huh?