es.uam.eps.ir.ranksys.mf

Class Factorizer<U,I>

java.lang.Object

es.uam.eps.ir.ranksys.mf.Factorizer<U,I>

Type Parameters:

U - type of the users

I - type of the items

Direct Known Subclasses:

ALSFactorizer, PLSAFactorizer

public abstract class Factorizer<U,I>
extends Object

Factorizer. Abstract class for matrix factorization algorithms.

Author:

Saúl Vargas (saul.vargas@uam.es)

Constructor Summary

Constructors

Constructor and Description
Factorizer()

Method Summary

Modifier and Type	Method and Description
abstract double	error(Factorization<U,I> factorization, FastPreferenceData<U,I> data) Global loss of the factorization.
abstract void	factorize(Factorization<U,I> factorization, FastPreferenceData<U,I> data) Calculates the factorization by using a previously generate matrix factorization.
abstract Factorization<U,I>	factorize(int K, FastPreferenceData<U,I> data) Creates and calculates a factorization.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Factorizer

public Factorizer()

Method Detail

error

public abstract double error(Factorization<U,I> factorization,
                             FastPreferenceData<U,I> data)

Global loss of the factorization.

Parameters:

factorization - matrix factorization

data - preference data

Returns:

the global loss

factorize

public abstract Factorization<U,I> factorize(int K,
                                             FastPreferenceData<U,I> data)

Creates and calculates a factorization.

Parameters:

K - size of the latent feature space.

data - preference data

Returns:

a matrix factorization

factorize

public abstract void factorize(Factorization<U,I> factorization,
                               FastPreferenceData<U,I> data)

Calculates the factorization by using a previously generate matrix factorization.

Parameters:

factorization - matrix factorization

data - preference data