Another option might be to have the auto-suggest test ONLY against article 
titles and return a list only of article titles, even though the search 
might cover body content and other things as well.  Would at least reduce 
the overhead of the auto-suggest while at the same time returning 
specifically relevant options in the list.

----------------------------------------

From: "Wil Genovese" <[email protected]>
Sent: Thursday, May 20, 2010 2:26 PM
To: "cf-talk" <[email protected]>
Subject: Re: In theory - site search and auto-suggest

Just a wild thought.

Why not use a Nouns list (there are many publicly available) and then use 
that to determine keywords in the news releases.  You can remove 
duplicates, but you could also include a rank systems for each noun found 
in the new article.  +1 for every time the noun is in the news release and 
+1 if it is in the title.  I think with some experimenting and tweaking you 
could make a pretty good system for searching.

Just a thought?

Wil Genovese

One man with courage makes a majority.
-Andrew Jackson

A fine is a tax for doing wrong. A tax is a fine for doing well. 

On May 20, 2010, at 1:11 PM, Les Mizzell wrote:

> 
>> You didn't mention the database.  I know Microsoft SQL Server has a 
nifty
>> text search capability built in. 
> 
> Don't have a problem setting up the search itself. I've got it worked 
> out using either just CF code, or letting SQL handle part of it.
> 
> The concern is the "auto-suggest" part. I'm searching large news 
> releases. I just don't see a way to put every word in there (minus 
> common terms) into any sort of list to use for the auto-suggest.
> 
> My recommendation back to the client is that have them enter in up to 10 

> "search keywords" for each article they enter and build the list from 
> those. Unless somebody has a better idea....
> 
> 
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