score-explaination.txt

5.9198895 = max of:
  
  5.8995476 = weight(post_title:istio in 3) [PerFieldSimilarity], result of:
    5.8995476 = score(doc=3,freq=1.0 = termFreq=1.0), product of:
      3.0 = boost
      1.6739764 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:
        1.0 = docFreq
        7.0 = docCount
      1.1747572 = 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
        11.0 = avgFieldLength
        7.0 = fieldLength
  
  5.9198895 = weight(post_excerpt:istio in 3) [PerFieldSimilarity], result of:
    5.9198895 = score(doc=3,freq=1.0 = termFreq=1.0), product of:
      3.0 = boost
      1.6739764 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:
        1.0 = docFreq
        7.0 = docCount
      1.1788079 = 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
        12.714286 = avgFieldLength
        8.0 = fieldLength
  
  3.3479528 = weight(terms.post_tag.name:istio in 3) [PerFieldSimilarity], result of:
    3.3479528 = score(doc=3,freq=1.0 = termFreq=1.0), product of:
      2.0 = boost
      1.6739764 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:
        1.0 = docFreq
        7.0 = docCount
      1.0 = 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
        16.0 = avgFieldLength
        16.0 = fieldLength
  
  2.52272 = weight(post_content:istio in 3) [PerFieldSimilarity], result of:
    2.52272 = score(doc=3,freq=100.0 = termFreq=100.0), product of:
      1.1631508 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:
        2.0 = docFreq
        7.0 = docCount
      2.1688676 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength / avgFieldLength)) from:
        100.0 = termFreq=100.0
        1.2 = parameter k1
        0.75 = parameter b
        2251.1428 = avgFieldLength
        2840.0 = fieldLength