|
gptkbp:instanceOf
|
gptkb:learning_to_rank_algorithm
gptkb:model
|
|
gptkbp:basedOn
|
gptkb:LambdaRank
gptkb:MART
|
|
gptkbp:developedBy
|
gptkb:Christopher_J.C._Burges
Erin Renshaw
Tal Shaked
|
|
gptkbp:field
|
gptkb:machine_learning
data science
information retrieval
|
|
gptkbp:input
|
feature vectors
|
|
gptkbp:introducedIn
|
2010
|
|
gptkbp:lossFunction
|
listwise loss
pairwise loss
|
|
gptkbp:notableFor
|
state-of-the-art ranking performance
|
|
gptkbp:openSource
|
gptkb:CatBoost
gptkb:LightGBM
gptkb:XGBoost
gptkb:scikit-learn
|
|
gptkbp:optimizedFor
|
gradient boosting
|
|
gptkbp:output
|
ranking scores
|
|
gptkbp:parentAlgorithm
|
gptkb:LambdaRank
gptkb:MART
|
|
gptkbp:publishedIn
|
Microsoft Research Technical Report
|
|
gptkbp:relatedTo
|
gptkb:RankNet
gptkb:CatBoost
gptkb:LightGBM
gptkb:XGBoost
gptkb:LambdaRank
gptkb:MART
|
|
gptkbp:supportsAlgorithm
|
gradient boosted decision trees
|
|
gptkbp:usedFor
|
gptkb:list
information retrieval
search engines
|
|
gptkbp:bfsParent
|
gptkb:Learning_to_Rank
|
|
gptkbp:bfsLayer
|
7
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
LambdaMART
|