C# Class MappingItemPrediction, MML-KDD

Zeno Gantner Lucas Drumond Christoph Freudenthaler Steffen Rendle Lars Schmidt-Thieme Learning Attribute-to-Feature Mappings for Cold-start Recommendations IEEE International Conference on Data Mining (ICDM 2010) Sydney, Australia 2010

Afficher le fichier Open project: zenogantner/MML-KDD

Méthodes publiques

Méthode	Description
Main ( string args ) : void

Private Methods

Méthode	Description
DisplayDataStats ( ) : void
DisplayResults ( double>.Dictionary result ) : void
EvaluateRecommender ( BPRMF_Mapping recommender, IPosOnlyFeedback test_data, IPosOnlyFeedback train_data ) : TimeSpan
Usage ( int exit_code ) : void
Usage ( string message ) : void

Method Details

Main() public static méthode

public static Main ( string args ) : void
args	string
Résultat	void