I actually thought of using search for right combination of suggestions but I feared of performance degrade. I'll look at levenshtein.

Thanks

From: Dan Quaroni <[EMAIL PROTECTED]>
Reply-To: Lucene Users List <[EMAIL PROTECTED]>
To: 'sam s ' <[EMAIL PROTECTED]>
Subject: RE: Context-based suggestions with spell check
Date: Thu, 20 Nov 2003 19:22:51 -0500

I would also suggest 'intend' as a possible correction.

There are a decent number of algorithms out there for distance between to
words.  Check out levenshtein for that.

In terms of context based corrections, you could do a search for the word
combined with the word in front of it and the word behind it.

"I just bought an inted motherboard"

Then you do a search for "an inter", "an intel", etc and "inter
motherboard", "intel motherboard", etc and count the number of hits you get
for each one and rank your suggestions accordingly.


-----Original Message----- From: sam s To: [EMAIL PROTECTED] Sent: 11/20/03 7:07 PM Subject: Context-based suggestions with spell check

Hi,

I am thinking to give spell check functionality to the search. I am
trying
to achieve two things to complement search.

1. Spell check where dictionary will be composed of all text I am
creating
search index. This looks simple with some spell check implementation.

2. The problem I am facing is how do I suggest right suggestion to a
wrong
word accompanied with other word. For example when user enters search
term
'inted' spell check returns suggestions inter, intel and intek. Now
problem
is when user searches 'inted motherboard' how do I decide that user is
searching for 'intel motherboard'? Where there are some items contain
text
'intel motherboard'. How do I make context-based suggestions? Does
anybody
any simple algorithm for this.
I know this is not related to lucene but thought may get some help from
community. Suggestions are appreciated.

Thanks in advance,
Sam

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