Hi David, omitNorms="true" will cause additional performance gains too. https://wiki.apache.org/solr/SolrPerformanceFactors#indexed_fields
To globally disable length norm, one can create a custom similarity and register it as a default similarity though. On Tuesday, April 8, 2014 2:59 PM, David Santamauro <david.santama...@gmail.com> wrote: Is there any general setting that removes this "punishment" or must omitNorms=false be part of every field definition? On 4/8/2014 7:04 AM, Ahmet Arslan wrote: > Hi, > > length normal is computed for every document at index time. I think it is > 1/sqrt(number of terms). Please see section 6. norm(t,d) at > > https://lucene.apache.org/core/4_7_0/core/org/apache/lucene/search/similarities/TFIDFSimilarity.html > > > If you don't care about length normalisation, you can set omitNorms=true in > field declarations. http://wiki.apache.org/solr/SchemaXml#Common_field_options > > > > On Tuesday, April 8, 2014 1:57 PM, John Nielsen <j...@mcb.dk> wrote: > Hi, > > I couldn't find any occurrence of SpanFirstQuery in either the schema.xml > or solrconfig.xml files. > > This is the query i used with debug=results. > http://pastebin.com/bWzUkjKz > > And here is the answer. > http://pastebin.com/nCXFcuky > > I am not sure what I am supposed to be looking for. > > > > On Tue, Apr 8, 2014 at 11:34 AM, Markus Jelsma > <markus.jel...@openindex.io>wrote: > >> Hi - the thing you describe is possible when your set up uses >> SpanFirstQuery. But to be sure what's going on you should post the debug >> output. >> >> -----Original message----- >>> From:John Nielsen <j...@mcb.dk> >>> Sent: Tuesday 8th April 2014 11:03 >>> To: solr-user@lucene.apache.org >>> Subject: Strange relevance scoring >>> >>> Hi, >>> >>> We are seeing a strange phenomenon with our Solr setup which I have been >>> unable to answer. >>> >>> My Google-fu is clearly not up to the task, so I am trying here. >>> >>> It appears that if i do a freetext search for a single word, say >> "modellering" >>> on a text field, the scoring is massively boosted if the first word of >> the >>> text field is a hit. >>> >>> For instance if there is only one occurrence of the word "modellering" in >>> the text field and that occurrence is the first word of the text, then >> that >>> document gets a higher relevancy than if the word "modelling" occurs 5 >>> times in the text and the first word of the text is any other word. >>> >>> Is this normal behavior? Is special attention paid to the first word in a >>> text field? I would think that the latter case would get the highest >> score. >>> >>> >>> -- >>> Med venlig hilsen / Best regards >>> >>> *John Nielsen* >>> Programmer >>> >>> >>> >>> *MCB A/S* >>> Enghaven 15 >>> DK-7500 Holstebro >>> >>> Kundeservice: +45 9610 2824 >>> p...@mcb.dk >>> www.mcb.dk > >>> >> > > >
