Hi monks, I am currently working on a search engine and now i would like to add some learning capabilities, so that it can learn from the users likes and dislikes.

I studied some books/documentation and on CPAN i found the following modules, but i'm still unsure which way is the right.
- AI::Categorizer
- Mail::SpamAssassin
- Algorithm::NaiveBayes

I know there are lots of possibilities(Bayes, KNN, Decision Trees...), the most popular at the moment seems Naive Bayes.

What would you use and why?

Some hints for good documentation or Perl examples i may have missed would be nice too.

Edited by castaway, fixed closing </a> tags

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