I'd start by doing some research on the question rather than asking for a
solution..
What your asking for can be considered 'Federated Search'
http://en.wikipedia.org/wiki/Federated_search

And it can be conceived in as many ways as you have document types. Any
answer will probably end up
customized and weighted by your document silo value, usually companies
weight those by business rules
rather than head down the path of federated search, as it's just quicker and
cheaper, and you can accomplish more.
e.g
Medication = score *2  (as higher advertising incentives)
Diseases = score
Books = score * 0.75  ( thousands of books, which nobody buys etc..)

You might also want to try consolidating your data into 1 schema, and
consider layering or collapsing results
based on type.

P

On Fri, Apr 17, 2009 at 10:39 AM, theDude_2 <aornst...@webmd.net> wrote:

>
> (bump) - any thoughts?
> ----
>
>
>
> theDude_2 wrote:
> >
> > hi!
> >
> > I am trying to do something a little unique...
> >
> > I have a 90k text documents that I am trying to search
> > Search A: indexes and searches the documents using regular relevancy
> > search
> > Search B: indexes and searches the documents using a smaller subset of
> > "key" words that I have chosen
> >
> > This gives me 2 seperate scores: Score A, and Score B...
> >
> > I am trying to show the top 10 results of the scores combined so....
> >
> > FinalScoretextDoc = (scoreA_of_td1 * 0.5) * (scoreB_of_td1 * 0.5)
> >
> > While it seems straightforward, I do not want to calculate the scores of
> > all the documents outside of lucene.  How can I integrate this better
> into
> > the lucene search engine?  Is this possible to do by any simple means?
> >
> > Thanks guys + gals!
> >
> >
>
> --
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