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Date: Tue, 20 Jul 2010 11:14:23 +0100
Message-ID: <AANLkTiny5hVvxs3BCLPai4L7l79J2i6Li2Qn7C7MXX_g@mail.gmail.com>
Subject: Re: Beginner question
From: Bilgin Ibryam <bibryam@gmail.com>
To: solr-user@lucene.apache.org
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Thanks for the answers guys.

So I assume that storing entity each field in as a separate index field is
correct, since they will get different scoring.

Is it possible to use dismax query parser using solrJ, since this is how I'm
going to access solr?


On Tue, Jul 20, 2010 at 10:46 AM, MitchK <mitch91@web.de> wrote:

>
> Here you can find params and their meanings for the dismax-handler.
> You may not find anything in the wiki by searching for a parser ;).
>
> Link:  http://wiki.apache.org/solr/DisMaxRequestHandler Wiki:
> DisMaxRequestHandler
>
> Kind regards
> - Mitch
>
>
>
> Erik Hatcher-4 wrote:
> >
> > Consider using the dismax query parser instead.  It has more
> > sophisticated capability to spread user queries across multiple fields
> > with different weightings.
> >
> >       Erik
> >
> > On Jul 20, 2010, at 4:34 AM, Bilgin Ibryam wrote:
> >
> >> Hi all,
> >>
> >> I have two simple questions:
> >>
> >> I have an Item entity with id, name, category and description
> >> fields. The
> >> main requirements is to be able to search in all the fields with the
> >> same
> >> string and different priority per field, so matches in name appear
> >> before
> >> category matches, and they appear before description field matches
> >> in the
> >> result list.
> >>
> >> 1. I think to create an index having the same fields, because each
> >> field
> >> needs different priority during searching.
> >>
> >> 2. And then do the search with a query like this:
> >> name:search_string^1.3 OR categpry:search_string^1.2 OR
> >> description:search_string^1.1
> >>
> >> Is this the right approach to model the index and search query?
> >>
> >> Thanks in advance.
> >> Bilgin
> >
> >
> >
> --
> View this message in context:
> http://lucene.472066.n3.nabble.com/Beginner-question-tp980695p980819.html
> Sent from the Solr - User mailing list archive at Nabble.com.
>

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