Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
learning to rank algorithm
|
| gptkbp:application |
information retrieval
web search |
| gptkbp:basedOn |
gptkb:AdaBoost
|
| gptkbp:citation |
high
|
| gptkbp:combines |
weak rankers
|
| gptkbp:developedBy |
Hang Li
Jun Xu |
| https://www.w3.org/2000/01/rdf-schema#label |
AdaRank
|
| gptkbp:input |
feature vectors
|
| gptkbp:language |
Java (implementations available)
Python (implementations available) |
| gptkbp:notableFor |
boosting-based approach
directly optimizing ranking measures |
| gptkbp:openSource |
gptkb:RankLib
scikit-learn-contrib |
| gptkbp:optimizationObjective |
ranking performance measure
|
| gptkbp:output |
ranking function
|
| gptkbp:publishedIn |
gptkb:SIGIR_2007
|
| gptkbp:relatedTo |
gptkb:RankBoost
gptkb:RankNet gptkb:LambdaMART |
| gptkbp:usedIn |
search engines
recommender systems |
| gptkbp:uses |
weak rankers
|
| gptkbp:bfsParent |
gptkb:Learning_to_Rank
|
| gptkbp:bfsLayer |
7
|