Trained Ranking Function: Difference between revisions
Jump to navigation
Jump to search
m (Text replacement - "---- == Refe" to "---- == Refe") |
m (Text replacement - ". ----" to ". ----") |
||
Line 9: | Line 9: | ||
** [[Heuristic Ranking Function]]. | ** [[Heuristic Ranking Function]]. | ||
* <B>See:</B> [[Ranking Algorithm]], [[Partial Order]], [[Ordinal Function]], [[Ranking Model Learning Algorithm]]. | * <B>See:</B> [[Ranking Algorithm]], [[Partial Order]], [[Ordinal Function]], [[Ranking Model Learning Algorithm]]. | ||
---- | ---- | ||
---- | ---- |
Latest revision as of 02:48, 24 September 2021
A trained ranking function is a ranking function structure that is a trained model.
- AKA: Learned Ranking Model.
- Context:
- It can range from being an Trained Integer-Valued Ranking Function to being a Trained Real-Valued Ranking Function.
- It can be an output of a Ranking Function Training Task (solved by a ranking function training system).
- Example(s):
- …
- Counter-Example(s):
- See: Ranking Algorithm, Partial Order, Ordinal Function, Ranking Model Learning Algorithm.