RE: Re: Matching and Scoring with multiple fields - Mailing list pgsql-sql

From Tim Johnson
Subject RE: Re: Matching and Scoring with multiple fields
Date
Msg-id NBBBLHOPPPPCHCIABAFGOENLCMAA.tim@celestialdesign.co.uk
Whole thread Raw
In response to Re: Re: Matching and Scoring with multiple fields  (Oliver Mueschke <o@mueschke.de>)
List pgsql-sql
Thanks to all of you that replied. I think Oliver's idea (which is pretty
close to Stephan's) will probably do the trick I think.

I will maybe look in the future to add the ability to allow users to weight
fields with more priority. So customers could number the top five most
important fields and then pick how they feel. I still worry about the
results being skewed by extreme data in certain fields but I guess there's
no way around that.

Thanks again.

Tim Johnson,
-- http://www.theinkfactory.co.uk

-----Original Message-----
From: Oliver Mueschke [mailto:o@mueschke.de]
Sent: 10 July 2000 21:15
To: pgsql-sql@postgresql.org
Cc: tim@lincolnshirenow.com
Subject: Re: [SQL] Re: Matching and Scoring with multiple fields


I'm not sure, but it seems you could calculate a column like:   SELECT a,b,c,...,
abs(<feel_a>-a)+abs(<feel_b>-b)+abs(<feel_c>-c)+...AS weight   FROM t   ORDER BY weight
 

This way the closest matches would come first.

On Mon, Jul 10, 2000 at 07:56:08PM +0100, Tim Johnson wrote:
> I have a problem. Ok I'll rephrase that, a challenge.
>
> I have a table like this:
>
> a,b,c,d,e,f,g,h
> ---------------
> 2,5,3,4,4,5,2,2
> 1,1,1,1,1,1,1,1
> 5,5,5,5,5,5,5,5
> 3,3,2,4,5,1,1,3
> 1,1,5,5,5,5,1,4
> 1,5,5,5,4,4,2,1
> 5,5,5,5,1,1,1,1
> 1,1,1,1,5,5,5,5
> (rows 8)
>
> a to h are of type int.
>
>
> I want to take input values which relate to this table say:
> how do you feel about a:
> how do you feel about b:
> how do you feel about c:
> ...
>
> and the answers will be 1 to 5.
>
> Now I want to take those answers for my incoming a to h and scan down the
> table pulling out the closest matches from best to worst. There will be
> about 2000 rows in the final table and I will LIMIT the rows in blocks of
10
> or so.



pgsql-sql by date:

Previous
From: Henry Lafleur
Date:
Subject: RE: join if there, blank if not
Next
From: "Gerhard Dieringer"
Date:
Subject: Antw: RE: join if there, blank if not