C# Class MyMediaLite.ItemRecommendation.WRMF

Weighted matrix factorization method proposed by Hu et al. and Pan et al.

We use the fast learning method proposed by Hu et al. (alternating least squares, ALS), and we use a global parameter to give observed values higher weights.

Literature: Y. Hu, Y. Koren, C. Volinsky: Collaborative filtering for implicit feedback datasets. ICDM 2008. http://research.yahoo.net/files/HuKorenVolinsky-ICDM08.pdf R. Pan, Y. Zhou, B. Cao, N. N. Liu, R. M. Lukose, M. Scholz, Q. Yang: One-class collaborative filtering, ICDM 2008. http://www.hpl.hp.com/techreports/2008/HPL-2008-48R1.pdf

This recommender does NOT support incremental updates.

Inheritance: MF

Afficher le fichier Open project: zenogantner/MML-KDD Class Usage Examples

Méthodes publiques

Méthode	Description
ComputeFit ( ) : double
Iterate ( ) : void
ToString ( ) : string

Méthodes protégées

Méthode	Description
Optimize ( IBooleanMatrix data, Matrix W, Matrix H ) : void	Optimizes the specified data

Method Details

ComputeFit() public méthode

public ComputeFit ( ) : double
Résultat	double

Iterate() public méthode

public Iterate ( ) : void
Résultat	void

Optimize() protected méthode

Optimizes the specified data

protected Optimize ( IBooleanMatrix data, Matrix W, Matrix H ) : void
data	IBooleanMatrix	data
W	Matrix	W
H	Matrix	H
Résultat	void

ToString() public méthode

public ToString ( ) : string
Résultat	string