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From Aman Deep Singh <amandeep.coo...@gmail.com>
Subject Phrase Query only forward direction
Date Mon, 12 Jun 2017 05:09:01 GMT
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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