I further tried to understand the results I see since the idf value is
smaller higher boost is not helping. Can we ensure that idf value should
not impact the ordering.
<str name="/news/info/2018/02/news_info_20180207_00">
73690.7 = sum of:
73690.7 = weight(pageID:5d368d4f-0c16-11e8-a4e0-067beceeb88f in 36)
[SchemaSimilarity], result of:
73690.7 = score(doc=36,freq=1.0 = termFreq=1.0
), product of:
13501.0 = boost
5.458166 = idf, computed as log(1 + (docCount - docFreq + 0.5) /
(docFreq + 0.5)) from:
1.0 = docFreq
351.0 = docCount
1.0 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1) from:
1.0 = termFreq=1.0
1.2 = parameter k1
0.0 = parameter b (norms omitted for field)
</str>
<str name="/news/event/2018/02/news_event_20180206_01">
69267.71 = sum of:
69267.71 = weight(pageID:f05a7d41-0b19-11e8-8f16-067beceeb88f in 2)
[SchemaSimilarity], result of:
69267.71 = score(doc=2,freq=1.0 = termFreq=1.0
), product of:
14001.0 = boost
4.9473405 = idf, computed as log(1 + (docCount - docFreq + 0.5) /
(docFreq + 0.5)) from:
2.0 = docFreq
351.0 = docCount
1.0 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1) from:
1.0 = termFreq=1.0
1.2 = parameter k1
0.0 = parameter b (norms omitted for field)
</str>
On Sat, Feb 10, 2018 at 10:58 AM, Anupam Bhattacharya <anupam...@gmail.com>
wrote:
> For me the SOLR sort was working fine with boost increments of 1. But
> after some recent changes to do atomic updates to existing SOLR document
> now when I try to get ordered results I get it in improper order. I have
> tried to keep large difference in the boosting values between individual
> terms but its very inconsistent.
>
> Below is the query with debugQuery=on.
>
> {
> "responseHeader":{
> "status":0,
> "QTime":19,
> "params":{
> "q":"pageID:(\"254eead5-0c17-11e8-a4e0-067beceeb88f\"^14501 OR
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> \"5d368d4f-0c16-11e8-a4e0-067beceeb88f\"^13501 OR
> \"ebcdc438-0702-11e8-9ea1-068a0dc6bc8f\"^13001 OR
> \"f\r\n72e001a-0c1a-11e8-a4e0-067beceeb88f\"^12501 OR
> \"dd73b9b6-0c17-11e8-a4e0-067beceeb88f\"^12001 OR
> \"bbd40922-0c8c-11e8-9b48-067beceeb88f\"^11501 OR
> \"d00791e9-0c1a-11e8-a4e0-067beceeb88f\"^11001 OR
> \"fbe95d\r\nb9-0bf8-11e8-a5c6-067beceeb88f\"^10501 OR
> \"8778980f-0d8c-11e8-b7a8-067beceeb88f\"^10001 OR
> \"e48e4073-02a4-11e8-a9a6-068a0dc6bc8f\"^9501 OR
> \"3b91f3ab-00ed-11e8-ac1d-067beceeb88f\"^9001 OR
> \"e878f0a7-0d98\r\n-11e8-916e-067beceeb88f\"^8501 OR
> \"beca0178-0bf6-11e8-a5c6-067beceeb88f\"^8001 OR
> \"864a7dee-01e4-11e8-80b0-067beceeb88f\"^7501 OR
> \"70b34ec1-ff38-11e7-b9c9-067beceeb88f\"^7001 OR
> \"ddd51847-0d8d-11e8-b7a\r\n8-067beceeb88f\"^6501 OR
> \"ad8d954d-000a-11e8-92a3-067beceeb88f\"^6001 OR
> \"93f24713-0ae4-11e8-866d-068a0dc6bc8f\"^5501 OR
> \"87033dd0-ff37-11e7-b9c9-067beceeb88f\"^5001 OR
> \"65b079c8-0c19-11e8-a4e0-067bece\r\neb88f\"^4501 OR
> \"9c5f0007-0c18-11e8-a4e0-067beceeb88f\"^4001 OR
> \"0a5796d5-0d7f-11e8-bf64-067beceeb88f\"^3501 OR
> \"b3800b06-0104-11e8-99f2-067beceeb88f\"^3001 OR
> \"9ed6136c-058c-11e8-8951-067beceeb88f\"^25\r\n01 OR
> \"af34b7a5-0102-11e8-99f2-067beceeb88f\"^2001 OR
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> \"1aed96f2-0b44-11e8-94a2-067beceeb88f\"^501 OR
> \"51d\r\n42489-0049-11e8-8628-067beceeb88f\"^1)\r\n",
> "sort=score desc":"",
> "fl":"pageID,score",
> "rows":"100",
> "debugQuery":"on"}},
> "response":{"numFound":24,"start":0,"maxScore":79148.87,"docs":[
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> "score":79148.87},
> {
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> "score":73690.7},
> {
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> {
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> {
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> {
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> {
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> {
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> {
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> {
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> {
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> {
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> "score":21838.123},
> {
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> \"d00791e9-0c1a-11e8-a4e0-067beceeb88f\"^11001 OR
> \"fbe95d\r\nb9-0bf8-11e8-a5c6-067beceeb88f\"^10501 OR
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> "explain":{
> "/movies/pv/2018/02/movies_pv_20180210_00":"\n79148.87 = sum of:\n
> 79148.87 = weight(pageID:254eead5-0c17-11e8-a4e0-067beceeb88f in 45)
> [SchemaSimilarity], result of:\n 79148.87 = score(doc=45,freq=1.0 =
> termFreq=1.0\n), product of:\n 14501.0 = boost\n 5.458166 = idf,
> computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5))
> from:\n 1.0 = docFreq\n 351.0 = docCount\n 1.0 = tfNorm,
> computed as (freq * (k1 + 1)) / (freq + k1) from:\n 1.0 =
> termFreq=1.0\n 1.2 = parameter k1\n 0.0 = parameter b (norms
> omitted for field)\n",
> "/news/info/2018/02/news_info_20180207_00":"\n73690.7 = sum of:\n
> 73690.7 = weight(pageID:5d368d4f-0c16-11e8-a4e0-067beceeb88f in 36)
> [SchemaSimilarity], result of:\n 73690.7 = score(doc=36,freq=1.0 =
> termFreq=1.0\n), product of:\n 13501.0 = boost\n 5.458166 = idf,
> computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5))
> from:\n 1.0 = docFreq\n 351.0 = docCount\n 1.0 = tfNorm,
> computed as (freq * (k1 + 1)) / (freq + k1) from:\n 1.0 =
> termFreq=1.0\n 1.2 = parameter k1\n 0.0 = parameter b (norms
> omitted for field)\n",
> "/news/event/2018/02/news_event_20180206_01":"\n69267.71 = sum
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> computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5))
> from:\n 2.0 = docFreq\n 351.0 = docCount\n 1.0 = tfNorm,
> computed as (freq * (k1 + 1)) / (freq + k1) from:\n 1.0 =
> termFreq=1.0\n 1.2 = parameter k1\n 0.0 = parameter b (norms
> omitted for field)\n",
> "/movies/product/2018/02/movies_product_20180208_00":"\n65503.453 =
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> "QParser":"LuceneQParser",
> "timing":{
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>
>
> --
> Thanks & Regards
> Anupam Bhattacharya
>
>
--
Thanks & Regards
Anupam Bhattacharya
