Ok that makes perfect sense.
"What I did was use a combination of the two running the indexed terms
through " - I initially read this as you used your current index and use
the terms from that to buildup your dictionary.
--
View this message in context:
http://lucene.472066.n3.nabble.com/Au
We base the auto-suggest on popular searches. Our site logs the search
terms in a database and a simple query can give us a summary counting
the number of times the search was entered and the number of results
it returned, similar to the criteria used in the lucid imagination
article you cite. Each
Thanks for the reply Michael. Ill definitely try that out and let you know
how it goes. Your solution sounds similar to the one I've read here:
http://www.lucidimagination.com/blog/2009/09/08/auto-suggest-from-popular-queries-using-edgengrams/
There are some good comments in there too.
I think
Blargy,
I've been experimenting with this myself for a work project. What I
did was use a combination of the two running the indexed terms through
the Shingle factory and then through the edge n-gram filter. I did
this in order to be able to match terms like :
.net asp c#
asp .net c#
c# asp .net
