C# Class MyMediaLite.RatingPrediction.NewKNN

kNN-based rating predictors (not working yet)

The method is described in section 2.2 of Yehuda Koren Factor in the Neighbors: Scalable and Accurate Collaborative Filtering Transactions on Knowledge Discovery from Data (TKDD), 2009 This recommender does NOT support incremental updates. ItemRecommendation.KNN

Inheritance: UserItemBaseline

Afficher le fichier Open project: zenogantner/MML-KDD

Méthodes publiques

Méthode	Description
LoadModel ( string filename ) : void
NewKNN ( ) : System	Constructor
Predict ( int user_id, int item_id ) : double	Predict the rating of a given user for a given item If the user or the item are not known to the recommender, a suitable average rating is returned. To avoid this behavior for unknown entities, use CanPredict() to check before.
SaveModel ( string filename ) : void
ToString ( ) : string
Train ( ) : void

Private Methods

Méthode	Description
CreateSimilarityMatrix ( string typename ) : void

Method Details

LoadModel() public méthode

public LoadModel ( string filename ) : void
filename	string
Résultat	void

NewKNN() public méthode

Constructor

public NewKNN ( ) : System
Résultat	System

Predict() public méthode

Predict the rating of a given user for a given item

If the user or the item are not known to the recommender, a suitable average rating is returned. To avoid this behavior for unknown entities, use CanPredict() to check before.

public Predict ( int user_id, int item_id ) : double
user_id	int	the user ID
item_id	int	the item ID
Résultat	double

SaveModel() public méthode

public SaveModel ( string filename ) : void
filename	string
Résultat	void

ToString() public méthode

public ToString ( ) : string
Résultat	string

Train() public méthode

public Train ( ) : void
Résultat	void