SOLR Search - differentiate equal scoring results by date

When pages inside the wiki have the same scoring in solr, the date is not seen as a differentiator so that the most recent results appear on top.

1. Create a page abc
2. Wait for a couple of minutes
3. Create another page abc in another location
4. Perform a search with abc as term and with the debugger in place

   http://localhost:8080/xwiki/bin/view/Main/Search?text=abc&f_type=DOCUMENT&f_locale=en&f_locale=&r=1&debug=true
   

You will see the listed results, with the most recent created below the older one. Their scores are equal as seen here:

• Main abc

  37.50109 = max of:
    0.13647377 = weight(spaces:abc in 13) [SchemaSimilarity], result of:
      0.13647377 = score(doc=13,freq=1.0 = termFreq=1.0
  ), product of:
        0.016 = boost
        7.780052 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:
          2.0 = docFreq
          5980.0 = docCount
        1.0963436 = 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
          1.2735786 = avgFieldLength
          1.0 = fieldLength
    37.50109 = max of:
      37.50109 = weight(title_en:abc in 13) [SchemaSimilarity], result of:
        37.50109 = score(doc=13,freq=1.0 = termFreq=1.0
  ), product of:
          10.0 = boost
          3.346389 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:
            2.0 = docFreq
            70.0 = docCount
          1.1206435 = 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
            1.3571428 = avgFieldLength
            1.0 = fieldLength
  

----------------------

• Sandbox abc

  37.50109 = max of:
    0.08808337 = weight(spaces:abc in 1) [SchemaSimilarity], result of:
      0.08808337 = score(doc=1,freq=1.0 = termFreq=1.0
  ), product of:
        0.016 = boost
        7.780052 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:
          2.0 = docFreq
          5980.0 = docCount
        0.70760584 = 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
          1.2735786 = avgFieldLength
          2.56 = fieldLength
    37.50109 = max of:
      37.50109 = weight(title_en:abc in 1) [SchemaSimilarity], result of:
        37.50109 = score(doc=1,freq=1.0 = termFreq=1.0
  ), product of:
          10.0 = boost
          3.346389 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:
            2.0 = docFreq
            70.0 = docCount
          1.1206435 = 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
            1.3571428 = avgFieldLength
            1.0 = fieldLength
  

Equal scoring is a rare case in the standard search, however on simplified versions which look (for eg) just in document titles, this situation may occur often.