How can I normalize Lucene scores?





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I want to normalize the Lucene scores between specific numbers



For example, a query returns the following scores...



0.35773993
0.15979238
0.15305749
0.14774998
0.14689445


And another query returns



2.32223993
1.55979222
1.14705711
0.12773933
0.10689411


How can I normalize the scores?










share|improve this question


















  • 3





    What's your goal with normalization of the scores? Normalization across queries doesn't really make sense (but there's a norm factor in the scoring formula that at least introduces a part for that). Since the last query is different from the first one, the scores returned isn't comparable (i.e. the numeric value doesn't mean any specific).

    – MatsLindh
    Nov 23 '18 at 20:48











  • Because I want to see which query is more relevant to the documents..

    – Noran
    Nov 23 '18 at 21:19











  • But those numbers won't really tell you that - how do you define that a query is more relevant to documents? If it's just the one giving the highest score (since normalizing wouldn't change that, seeing as that would scale the scores within [0, 1] for [0, max] instead), just pick that one. But that number doesn't really tell you that a query is more relevant (.. which would mean exactly what?) to the document.

    – MatsLindh
    Nov 23 '18 at 21:31


















1















I want to normalize the Lucene scores between specific numbers



For example, a query returns the following scores...



0.35773993
0.15979238
0.15305749
0.14774998
0.14689445


And another query returns



2.32223993
1.55979222
1.14705711
0.12773933
0.10689411


How can I normalize the scores?










share|improve this question


















  • 3





    What's your goal with normalization of the scores? Normalization across queries doesn't really make sense (but there's a norm factor in the scoring formula that at least introduces a part for that). Since the last query is different from the first one, the scores returned isn't comparable (i.e. the numeric value doesn't mean any specific).

    – MatsLindh
    Nov 23 '18 at 20:48











  • Because I want to see which query is more relevant to the documents..

    – Noran
    Nov 23 '18 at 21:19











  • But those numbers won't really tell you that - how do you define that a query is more relevant to documents? If it's just the one giving the highest score (since normalizing wouldn't change that, seeing as that would scale the scores within [0, 1] for [0, max] instead), just pick that one. But that number doesn't really tell you that a query is more relevant (.. which would mean exactly what?) to the document.

    – MatsLindh
    Nov 23 '18 at 21:31














1












1








1








I want to normalize the Lucene scores between specific numbers



For example, a query returns the following scores...



0.35773993
0.15979238
0.15305749
0.14774998
0.14689445


And another query returns



2.32223993
1.55979222
1.14705711
0.12773933
0.10689411


How can I normalize the scores?










share|improve this question














I want to normalize the Lucene scores between specific numbers



For example, a query returns the following scores...



0.35773993
0.15979238
0.15305749
0.14774998
0.14689445


And another query returns



2.32223993
1.55979222
1.14705711
0.12773933
0.10689411


How can I normalize the scores?







java apache solr lucene






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 23 '18 at 20:45









NoranNoran

249110




249110








  • 3





    What's your goal with normalization of the scores? Normalization across queries doesn't really make sense (but there's a norm factor in the scoring formula that at least introduces a part for that). Since the last query is different from the first one, the scores returned isn't comparable (i.e. the numeric value doesn't mean any specific).

    – MatsLindh
    Nov 23 '18 at 20:48











  • Because I want to see which query is more relevant to the documents..

    – Noran
    Nov 23 '18 at 21:19











  • But those numbers won't really tell you that - how do you define that a query is more relevant to documents? If it's just the one giving the highest score (since normalizing wouldn't change that, seeing as that would scale the scores within [0, 1] for [0, max] instead), just pick that one. But that number doesn't really tell you that a query is more relevant (.. which would mean exactly what?) to the document.

    – MatsLindh
    Nov 23 '18 at 21:31














  • 3





    What's your goal with normalization of the scores? Normalization across queries doesn't really make sense (but there's a norm factor in the scoring formula that at least introduces a part for that). Since the last query is different from the first one, the scores returned isn't comparable (i.e. the numeric value doesn't mean any specific).

    – MatsLindh
    Nov 23 '18 at 20:48











  • Because I want to see which query is more relevant to the documents..

    – Noran
    Nov 23 '18 at 21:19











  • But those numbers won't really tell you that - how do you define that a query is more relevant to documents? If it's just the one giving the highest score (since normalizing wouldn't change that, seeing as that would scale the scores within [0, 1] for [0, max] instead), just pick that one. But that number doesn't really tell you that a query is more relevant (.. which would mean exactly what?) to the document.

    – MatsLindh
    Nov 23 '18 at 21:31








3




3





What's your goal with normalization of the scores? Normalization across queries doesn't really make sense (but there's a norm factor in the scoring formula that at least introduces a part for that). Since the last query is different from the first one, the scores returned isn't comparable (i.e. the numeric value doesn't mean any specific).

– MatsLindh
Nov 23 '18 at 20:48





What's your goal with normalization of the scores? Normalization across queries doesn't really make sense (but there's a norm factor in the scoring formula that at least introduces a part for that). Since the last query is different from the first one, the scores returned isn't comparable (i.e. the numeric value doesn't mean any specific).

– MatsLindh
Nov 23 '18 at 20:48













Because I want to see which query is more relevant to the documents..

– Noran
Nov 23 '18 at 21:19





Because I want to see which query is more relevant to the documents..

– Noran
Nov 23 '18 at 21:19













But those numbers won't really tell you that - how do you define that a query is more relevant to documents? If it's just the one giving the highest score (since normalizing wouldn't change that, seeing as that would scale the scores within [0, 1] for [0, max] instead), just pick that one. But that number doesn't really tell you that a query is more relevant (.. which would mean exactly what?) to the document.

– MatsLindh
Nov 23 '18 at 21:31





But those numbers won't really tell you that - how do you define that a query is more relevant to documents? If it's just the one giving the highest score (since normalizing wouldn't change that, seeing as that would scale the scores within [0, 1] for [0, max] instead), just pick that one. But that number doesn't really tell you that a query is more relevant (.. which would mean exactly what?) to the document.

– MatsLindh
Nov 23 '18 at 21:31












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