C# Class MyMediaLite.RatingPrediction.FactorWiseMatrixFactorization

Matrix factorization with factor-wise learning

Robert Bell, Yehuda Koren, Chris Volinsky: Modeling Relationships at Multiple Scales to Improve Accuracy of Large Recommender Systems, ACM Int. Conference on Knowledge Discovery and Data Mining (KDD'07), 2007. This recommender does NOT support incremental updates.

Inheritance: RatingPredictor, IIterativeModel

Mostra file Open project: zenogantner/MML-KDD

Public Methods

Method	Description
ComputeFit ( ) : double
FactorWiseMatrixFactorization ( ) : System	Default constructor
Iterate ( ) : void
LoadModel ( string filename ) : void
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, the global effects prediction is returned. To avoid this behavior for unknown entities, use CanPredict() to check before.
SaveModel ( string filename ) : void
ToString ( ) : string
Train ( ) : void

Method Details

ComputeFit() public method

public ComputeFit ( ) : double
return	double

FactorWiseMatrixFactorization() public method

Default constructor

public FactorWiseMatrixFactorization ( ) : System
return	System

Iterate() public method

public Iterate ( ) : void
return	void

LoadModel() public method

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

Predict() public method

Predict the rating of a given user for a given item

If the user or the item are not known to the recommender, the global effects prediction 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
return	double

SaveModel() public method

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

ToString() public method

public ToString ( ) : string
return	string

Train() public method

public Train ( ) : void
return	void