I discovered Repustate.com here on HN and played with it some time ago. Although I believe it only works by giving it a URL and it extracts various types of semantic data from it.
I've long considered using bayesian classification to mark feeds for like/dislike so the system can learn what I like, but from what I hear, the amount of text in the feed may not be sufficient to classify properly. I have previously looked at http://uclassify.com that provides such a web-service that classifies text based on various criteria. I also remember signing up for an actual rss reader web-service that planned to use bayesian classification to learn your likings a couple of years, but they never released -- I don't recall the site name right now.
Is this a personal project or something for JackBe (I notice you work there).
Be mindful that many have tried to build this kind of system and there are a lot of pitfuls outside of just the technology - such as explicit ranking versis implicit/gestures (although I notice you are a UX designer, so you may be thinking of interface issues already).
I've got some experience in this area if you are interesting in connecting - my email is in my profile.
http://www.repustate.com