I’ve just update mine and Christine’s sites to WordPress 2.0 – no change to you on this end, but the admin interface is much cleaner and prettier.
The other thing I was thinking, as I whacked out all my spam comments, is a modified Bayesian filter to capture spam. In many of my spam comments, I noticed that they contain either a bunch of random nouns or the same ones repeated over and over. What if a spam filter could look at the relevance of topics to each other and determine if the comment fit or was truly random? Say, read in a large corpus as training text and build a topic map of concepts from that, then evaluate a comment against the topic map to determine the degree of relevance between the nouns in the comment.
{ 2 comments… read them below or add one }
It appears that you may want to use an additional spam filter along with the Bayseian filter to capture spam.
Glad to see Coffeecorner entry. It is alive! BPC has returned also. Life is good!
PS – Templates for both are fine!