[htdig-dev] Bayesian Algorithm Part II

[Tod T. <tt...@ch...>]

At a helpful list member's prompting, it might help if I present the reason for
my original post.

My original query was intended to see if anybody was looking into implementing
this into htdig.  We've just gone through a pretty extensive vendor selection
process to find the 'best' search engine to couple with an internal knowledge
management initiative.

A common marketing thread for a number of the vendors was the utilization of the
'bayesian algorithm'.  I have to admit that those products tended to outperform
the others, particularly when it came to language specific searches.  It was
almost as if the search could understand the concept behind the request, not
just the words.  That's when I began to wonder if anybody in the htdig
development community had looked into implementing 'bayesian' searching, or if
htdig could do 'it', hence my vague post.

My theory was that most new market trends (worth paying attention to) are
usually already, or quickly will be, reflected in the open source development
community.  I suspected this might be the case with htdig too.  Given the
individual response that I got there is at least some interest so by elaborating
a little on my original post maybe I can learn more.  Comments?

Thanks - Tod