Hi, an update: I've found another alternative while reading the valuable
post written by Doug.
In short, I should split the field "title" in two fields: title_notf and
title_phrase.
title_notf is without term frequency (with omitTermFreqAndPositions=true)
for matching queries and title_phrase with
Yep, that makes sense.
And given that an omitTermFreq parameter does not exist, if I use
omitTermFreqAndPositions then phrase queries won't work.
So it seems there are no chances, the only way is write own similarity
class.
On Thu, Nov 29, 2018 at 4:15 PM Alexandre Rafalovitch
wrote:
> You are t
You are trying to use this in the field list, but the documentation
only talks about this being valid in the query clause itself. Which
perhaps makes it a bit less useful for your case, but does not look
like a bug.
Regards,
Alex.
On Thu, 29 Nov 2018 at 10:06, Vincenzo D'Amore wrote:
>
> Hi th
Hi thanks for your prompt reply :)
I thought the constant score should be the easiest way, unexpectedly when I
tried to specify constant score in qf field an exception has been raised.
So I've configured the constant score into solrconfig.xml file :
combiField
edis
I think the similarity way (setting k1 to 0) or a constant score query are
probably the best ways. Omitting term freqs and position will also remove
positions meaning phrase queries won’t work.
This blog article might be useful for your use case. I discuss a similar
prob.
https://opensourceconnec
Perhaps constant score would be useful here:
http://lucene.apache.org/solr/guide/7_5/the-standard-query-parser.html#constant-score-with
Also, all the options like omitTermFreqAndPositions are described
here:
http://lucene.apache.org/solr/guide/7_5/field-type-definitions-and-properties.html#field-
Hi all,
I have a relevancy problem, I suppose to know a solution for this problem
but I would like to know if in your experience there is a better one.
For example I have two documents which have the "termA" in their field
"title", the former has the "termA" repeated more times but the latter has
