StumbleUpon
Another site that is moving in the direction of giving you what you like based upon past behavior or selections is StumbleUpon.com.
StumbleUpon uses collaborative filtering, which is just a geeky way of saying it figures out what you like, and delivers it to you, based on what other people like. Amazon.com does a similar thing with book recommendations. On StumbleUpon, as people rate videos, the ratings go into a database. Then, as you rate videos, the service will know what you like and don’t like, and which users have similar taste. It continually refines that information to serve up videos that it believes will match the stuff you like.
“You can stumble, rate and review, and it’s constantly learning and getting you better videos,” said David Feller, the vice president of marketing.