boost(index) is the index-time boost, the optional boost that you can
specify when adding a document to the index, such as:
<add>
<doc boost="2.5">
<field name="employeeId">05991</field>
<field name="office" boost="2.0">Bridgewater</field>
</doc>
</add>
The index-time boost is multiplied by the length normalization factor which
gives a higher score for shorter documents.
Note that fieldNorm(lenghNorm *boost(index)) is reduced from a float to a
SINGLE BYTE, so it can be tricky to work with.
For gory details, see:
http://lucene.apache.org/core/4_0_0/core/org/apache/lucene/search/similarities/TFIDFSimilarity.html
-- Jack Krupansky
-----Original Message-----
From: Sangeetha
Sent: Friday, December 14, 2012 1:36 AM
To: solr-user@lucene.apache.org
Subject: Re: score calculation
Using Toms reply i have got most of the terms,
The following is my understanding of a single doc score,
5.528805 = (MATCH) sum of: (sum of scores = 0.08775589 + 5.441049)
0.08775589 = (MATCH) weight(text:sachin in 286) [DefaultSimilarity], result
of:
0.08775589 = score(doc=286,freq=2.0 = termFreq=2.0 ), product of: * (
fieldweight*queryweight)*
0.06781097 = queryWeight, product of:
5.856543 = idf(docFreq=18, maxDocs=2443)
0.011578668 = queryNorm - not used for scoring
1.2941253 = fieldWeight in 286, product of: ( tf*idf*fieldNorm)
1.4142135 = tf(freq=2.0), with freq of: 2.0 = termFreq=2.0
5.856543 = idf(docFreq=18, maxDocs=2443)
0.15625 = fieldNorm(doc=286)
5.441049 = (MATCH) weight(type_s:video^10.0 in 286) [DefaultSimilarity],
result of:
5.441049 = score(doc=286,freq=1.0 = termFreq=1.0 ), product of: (
fieldweight*queryweight)
0.793726 = queryWeight, product of:
10.0 = boost
6.855072 = idf(docFreq=6, maxDocs=2443)
0.011578668 = queryNorm
6.855072 = fieldWeight in 286, product of: ( tf*idf*fieldNorm)
1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0
6.855072 = idf(docFreq=6, maxDocs=2443)
1.0 = fieldNorm(doc=286)
But still i am not clear of fieldNorm(lenghNorm *boost(index) - how to get
boost(index)
and how queryWeight is calculated
Thanks,
Sangeetha
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