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From Erik Hatcher <erik.hatc...@gmail.com>
Subject Re: Phrase Query only forward direction
Date Mon, 12 Jun 2017 12:14:38 GMT
Using ps=5 causes the phrase matching to be unordered matching.   You’ll have to set ps=0,
if using edismax, to get exact order phrase matches.

	Erik


> On Jun 12, 2017, at 1:09 AM, Aman Deep Singh <amandeep.cool99@gmail.com> wrote:
> 
> Hi,
> I'm using a phrase query ,but it was applying the phrase boost to the query
> where terms are in reverse order also ,which i don't want.Is their any way
> to avoid the phrase boost for reverse order and apply boost only in case of
> terms are in same sequence
> 
> Solr version 6.5.1
> 
> e.g.
> http://localhost:8983/solr/l4_collection/select?debugQuery=on&defType=edismax&fl=score,nameSearch&indent=on&mm=100%25&pf=nameSearch&q=12345%20masitha&qf=nameSearch&wt=xml&ps=5
> 
> 
> while my document has value masitha 12345
> 
> in the debug query it is applying boost as
> 23.28365 = sum of:
> 15.112219 = sum of:
> 9.669338 = weight(nameSearch:12345 in 0) [SchemaSimilarity], result of:
> 9.669338 = score(doc=0,freq=1.0 = termFreq=1.0
> ), product of:
> 7.6397386 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq
> + 0.5)) from:
> 2.0 = docFreq
> 5197.0 = docCount
> 1.2656635 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b
> * fieldLength / avgFieldLength)) from:
> 1.0 = termFreq=1.0
> 1.2 = parameter k1
> 0.75 = parameter b
> 5.2576485 = avgFieldLength
> 2.56 = fieldLength
> 5.44288 = weight(nameSearch:masitha in 0) [SchemaSimilarity], result of:
> 5.44288 = score(doc=0,freq=1.0 = termFreq=1.0
> ), product of:
> 4.3004165 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq
> + 0.5)) from:
> 70.0 = docFreq
> 5197.0 = docCount
> 1.2656635 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b
> * fieldLength / avgFieldLength)) from:
> 1.0 = termFreq=1.0
> 1.2 = parameter k1
> 0.75 = parameter b
> 5.2576485 = avgFieldLength
> 2.56 = fieldLength
> 8.171431 = weight(*nameSearch:"12345 masitha"~5 *in 0) [SchemaSimilarity],
> result of:
> 8.171431 = score(doc=0,freq=0.33333334 = phraseFreq=0.33333334
> ), product of:
> 11.940155 = idf(), sum of:
> 7.6397386 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq
> + 0.5)) from:
> 2.0 = docFreq
> 5197.0 = docCount
> 4.3004165 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq
> + 0.5)) from:
> 70.0 = docFreq
> 5197.0 = docCount
> 0.6843655 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b
> * fieldLength / avgFieldLength)) from:
> 0.33333334 = phraseFreq=0.33333334
> 1.2 = parameter k1
> 0.75 = parameter b
> 5.2576485 = avgFieldLength
> 2.56 = fieldLength
> 
> Thanks,
> Aman Deep Singh


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