Hi all .
I have a issue with solr scoring.
How solr scoring treat ?
I mean is it linearly?
Yes the term was getting tokenized as 15. And Norms are not ignored.
Thank you for helping understand the issue.
On Mon, Nov 9, 2015 at 6:07 AM, Alessandro Benedetti
wrote:
> I quote Emir and I would like to ask if the Norms are ignored or not.
> If they are not ignored and 15 is one of the se
I quote Emir and I would like to ask if the Norms are ignored or not.
If they are not ignored and 15 is one of the search tokens, I can expect an
high score for a doc containing "15" because the Norm value will be quite
high ( as the field contains basically exactly the query term).
Cheers
On 9
To get answer for why 15, you can use field analysis for index/query and
see that "15%" is probably tokenized and as both 15 and 15%.
Emir
On 06.11.2015 20:22, Erick Erickson wrote:
I'm not sure what the question your asking is. You say
that you have debugged the query and the score for 15 is
You might paste your URL into http://splainer.io and it will explain your
results ranking to you in a perhaps more helpful way
-Doug
On Fri, Nov 6, 2015 at 2:04 PM, Brian Narsi wrote:
> I have a situation where.
>
> User search query
>
> q=15%
>
> Solr results contain several documents that are
I'm not sure what the question your asking is. You say
that you have debugged the query and the score for 15 is
higher than the ones below it. What's surprising about that?
Are you saying you don't understand how the score is
calculated? Or the output when adding &debug=true
is inconsistent or wha
I have a situation where.
User search query
q=15%
Solr results contain several documents that are
15%
15%
15%
15%
15 (why?)
15%
15%
I have debugged the query and can see that the score for 15 is higher than
the ones below it.
Why is that? Where can I read in detail about how the scoring is be
r was a different amount (.75pt, for instance). I
> know
> > >> I'm
> > >> > no
> > >> > > > expert, but I was thinking my analyzer was a bit better than
> that
> > :p
> > >> > > >
> > >> > > > --
> >
IN 47713
> >> > > >
> >> > > > On Mon, May 18, 2015 at 2:18 PM, Doug Turnbull <
> >> > > > dturnb...@opensourceconnections.com > wrote:
> >> > > >
> >> > > > > > The maxScore is 772 when I remove the
> > > > hurts the rest of them / the cumulative score,
>> > > > >
>> > > > > This depends a lot on how you're searching over these fields. Is
>> > this a
>> > > > > (e)dismax query? Or a lucene query? So
; > Adding/removing a field could impact query normalization.
> > > > >
> > > > > By removing a field, you also likely remove a boolean clause. By
> > > removing
> > > > > the clause, there's less of a chance the coordinating
Turnbull **| *Search Relevance Consultant | OpenSource
> > Connections,
> > > > LLC | 240.476.9983 | http://www.opensourceconnections.com
> > > > Author: Relevant Search <http://manning.com/turnbull> from Manning
> > > > Publications
> > > &g
m/turnbull> from Manning
> > > Publications
> > > This e-mail and all contents, including attachments, is considered to
> be
> > > Company Confidential unless explicitly stated otherwise, regardless
> > > of whether attachments are marked as such.
> > &g
e:
> >
> > > Background:
> > > I'm using Solr as a mechanism for search for users, but before even
> > getting
> > > to that point as a means of intelligent inference more or less. Product
> > > data comes in and we're hoping to match it to the corre
gt; the manufacturer's name, the product number, and the product description.
> > All of these items are coming from a previous purchaser so we have to
> > account for manufacturer name variations, miskeying of product numbers,
> and
> > variances of descriptions. The maxS
escription.
>> All of these items are coming from a previous purchaser so we have to
>> account for manufacturer name variations, miskeying of product numbers,
>> and
>> variances of descriptions. The maxScore is 772 when I remove the
>> description.
>>
>> My
manufacturer's name, the product number, and the product description.
> All of these items are coming from a previous purchaser so we have to
> account for manufacturer name variations, miskeying of product numbers, and
> variances of descriptions. The maxScore is 772 when
ct numbers, and
variances of descriptions. The maxScore is 772 when I remove the
description.
My initial question is regarding relevancy scoring (
https://wiki.apache.org/solr/SolrRelevancyFAQ). I get that many of the
description's tokens will be found throughout the other documents, thus
keeping the
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