Re: Description Search

2003-10-18 Thread Kevin Pfeiffer
In article <[EMAIL PROTECTED]>, Paul D. Kraus wrote: > Ok this could work but then I would need to know before hand what words > are important and which ones arent. We carry over 40 thousand products > having to do with orthotics, prosthetics, ect. Unless I misunderstood > you. Thanks agian! Thi

Re: Description Search

2003-10-17 Thread Rob Dixon
Kevin Old wrote: > > Also, for example purposes, say the item you want to match on is a > "Black Kettle" and your description is "Black Kettle", but their > description is "BLK KTTL". Would there be occurrences like this? > Damn. You mean I could have bought my prosthetic black kettle more cheapl

Re: Description Search

2003-10-17 Thread Kevin Old
On Fri, 2003-10-17 at 09:04, Paul D. Kraus wrote: > Ok here is the scenioro I have two price lists that contain itemcode > description cost list The important two are itemcode and description. > One is our list the other is the price list of our major competitior. Of > course they use differ

RE: Description Search

2003-10-17 Thread Marcos . Rebelo
-Original Message- From: Paul D. Kraus [mailto:[EMAIL PROTECTED] Sent: Friday, October 17, 2003 3:32 PM To: [EMAIL PROTECTED] Subject: Re: Description Search On Fri, 17 Oct 2003 15:24:09 +0200, <[EMAIL PROTECTED]> wrote: > This seems my University project. > > Some

Re: Description Search

2003-10-17 Thread Paul D. Kraus
On Fri, 17 Oct 2003 15:24:09 +0200, <[EMAIL PROTECTED]> wrote: This seems my University project. Some years ago I did something more or less similar. Insted of removing some words, I would just rate witch word. For instance count each word in your description and give a coeficient to it like 1 /

RE: Description Search

2003-10-17 Thread Marcos . Rebelo
This seems my University project. Some years ago I did something more or less similar. Insted of removing some words, I would just rate witch word. For instance count each word in your description and give a coeficient to it like 1 / (count * count). After for similarities you can consider to sum