There has
been a bit of recent discussion about the fact that
as JavaBlogs grows it is changing, with a few problems with what some people see as
low quality posts.

Gerard has outlined the four main methods of making
a community scale, but I would like to suggest a fifth. IMO, I believe that automatted text categorisation can increase the
size a community can scale to without requiring non-software intervention.

I've done some
experimentation with using text analysis algorithms
for simple match/non-match categorisation. I believe something as simple as Bayesian classification for blog posts can go some way
to improving the quality of links on the “Hot List”.

Today's Java.Blogs posts

Ultimatly, I think that some of the more advanced text categoriation algorithms
might be even more useful. For instance, Google News manages to categorise its stories fairly well, and I believe they do most
of that automatically. NewsInEssence categorises news into “clusters” atomatically.
A quick look on citeseer shows plenty of
algorithms around, and I'm pretty sure the author of Classifier4J
might be interested in implementing at least one.