C# Class MyMediaLite.AttrToFactor.MF_ItemMapping

biased MF with item mapping learned by regularized least-squares regression

Inheritance: MF_Mapping, IItemAttributeAwareRecommender

Protected Properties

Property	Type	Description
data_item	MyMediaLite.DataType.SparseBooleanMatrix
factor_bias	double[]
item_attributes	MyMediaLite.DataType.SparseBooleanMatrix
random	System.Random

Method	Description
IterateMapping ( ) : void	Perform one iteration of the mapping learning process
LearnAttributeToFactorMapping ( ) : void
Predict ( int user_id, int item_id ) : double
ToString ( ) : string

Method	Description
ComputeMappingFit ( ) : double[]	Compute the fit of the mapping
MapToLatentFactorSpace ( int item_id ) : double[]	map to latent factor space
SampleItem ( ) : int	Samples an item for the mapping training. Only items that are associated with at least one user are taken into account.

Compute the fit of the mapping

protected ComputeMappingFit ( ) : double[]
return	double[]

Perform one iteration of the mapping learning process

public IterateMapping ( ) : void
return	void

public LearnAttributeToFactorMapping ( ) : void
return	void

map to latent factor space

protected MapToLatentFactorSpace ( int item_id ) : double[]
item_id	int
return	double[]

public Predict ( int user_id, int item_id ) : double
user_id	int
item_id	int
return	double

Samples an item for the mapping training. Only items that are associated with at least one user are taken into account.

protected SampleItem ( ) : int
return	int

public ToString ( ) : string
return	string

Who has rated what? item-wise

protected SparseBooleanMatrix,MyMediaLite.DataType data_item
return	MyMediaLite.DataType.SparseBooleanMatrix

array to store the bias for each mapping

protected double[] factor_bias
return	double[]

The matrix storing the item attributes

protected SparseBooleanMatrix,MyMediaLite.DataType item_attributes
return	MyMediaLite.DataType.SparseBooleanMatrix

random number generator

protected Random,System random
return	System.Random