A Bayes net is a graph structure whose nodes are terms or concepts with attached truth values or probabilities, and whose links are conditional probabilities.

i’m experiencing the value of bayesian networks for information filtering. while the obvious spam filtering is nice, there is much more to it. pretty soon the lines will be rather blurred between serendipity and info glut.
as matt griffith puts it:

My problem is information overload. I’m much more interested in seeing the same thing for RSS. Instead of blocking stuff I don’t want I want it to highlight the stuff I might want. I’ve been out of the loop lately because I can’t keep up with all of the feeds I would like to monitor. I need help.

highly agreed. my blogroll is growing, and time is always short. i’m inclined to think that with a better data set, automated metadata will go much farther. encouraging to see that some EU money is spent on this.

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