honeymoose
/
OpenSearch
mirror of https://github.com/honeymoose/OpenSearch.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

[doc] explain avg in function_score better (#19154) 

* [doc] explain avg in function_score better
This commit is contained in:
Britta Weber 2016-06-30 11:52:53 +02:00 committed by GitHub
parent 1ad3d2251f
commit 57a734e641
1 changed files with 8 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
docs/reference/query-dsl/function-score-query.asciidoc
View File

@ -83,9 +83,16 @@ First, each document is scored by the defined functions. The parameter
`max`:: maximum score is used
`min`:: minimum score is used
Because scores can be on different scales (for example, between 0 and 1 for decay functions but arbitrary for `field_value_factor`) and also because sometimes a different impact of functions on the score is desirable, the score of each function can be adjusted with a user defined `weight` (). The `weight` can be defined per function in the `functions` array (example above) and is multiplied with the score computed by the respective function.
Because scores can be on different scales (for example, between 0 and 1 for decay functions but arbitrary for `field_value_factor`) and also
because sometimes a different impact of functions on the score is desirable, the score of each function can be adjusted with a user defined
`weight`. The `weight` can be defined per function in the `functions` array (example above) and is multiplied with the score computed by
the respective function.
If weight is given without any other function declaration, `weight` acts as a function that simply returns the `weight`.
In case `score_mode` is set to `avg` the individual scores will be combined by a **weighted** average.
For example, if two functions return score 1 and 2 and their respective weights are 3 and 4, then their scores will be combined as
`(1*3+2*4)/(3+4)` and **not** `(1*3+2*4)/2`.
The new score can be restricted to not exceed a certain limit by setting
the `max_boost` parameter. The default for `max_boost` is FLT_MAX.