Using Bayesian Analysis to Filter Hacker News To Your Preferences

Very cool post on code to use bayesian analysis to filter Hacker News for your preferences. My comment:

Very cool. It would be nice if you could include data on users that up-voted the story. My guess is you don't have access to that data though. But if you did I would think that could be a very useful test. Even getting things like if these 2 or 3 people liked it super big bonus points... And even learning, either bozos that like stupid stuff or spammers so that if it learns big up-votes from those people is a negative (not a positive). At the very beginning of using Reddit I thought they were doing that kind of stuff when displaying the home page. I thought my preferences were being stored so that it could judge what I would like (not just to bump that story up). It would be cool if Reddit and/or HN could at least let us say add this person to my recommended list (and then highlight all stories those people up-vote).