Package es.upm.etsisi.cf4j.recommender.neural

Class NCCF

java.lang.Object

es.upm.etsisi.cf4j.recommender.Recommender

es.upm.etsisi.cf4j.recommender.neural.NCCF

public class NCCF
extends Recommender

Implements short method of Bobadilla, J., Ortega, F., Gutiérrez, A., & Alonso, S. (2020). Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems. International Journal of Interactive Multimedia & Artificial Intelligence, 6(1).

Field Summary

Fields inherited from class es.upm.etsisi.cf4j.recommender.Recommender

datamodel

Constructor Summary

Constructors

Constructor	Description
NCCF(DataModel datamodel, int numEpochs)	Model constructor
NCCF(DataModel datamodel, int numEpochs, long seed)	Model constructor
NCCF(DataModel datamodel, Map<String,Object> params)	Model constructor from a Map containing the model's hyper-parameters values.

Method Summary

Modifier and Type	Method	Description
void	fit()	Estimates model parameters given the hyper-parameters
int	getNumEpochs()	Returns the number of epochs.
double	predict(int userIndex, int itemIndex)	Computes the probability that an item will be of interest to the user.
String	toString()

Methods inherited from class es.upm.etsisi.cf4j.recommender.Recommender

getDataModel, predict

Methods inherited from class java.lang.Object

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

Constructor Detail

NCCF

public NCCF(DataModel datamodel,
            Map<String,Object> params)

Model constructor from a Map containing the model's hyper-parameters values. Map object must contains the following keys:

• numEpochs: int value with the number of epochs.
• seed (optional): random seed for random numbers generation. If missing, random value is used.

Parameters:

datamodel - DataModel instance

params - Model's hyper-parameters values

NCCF

public NCCF(DataModel datamodel,
            int numEpochs)

Model constructor

Parameters:

datamodel - DataModel instance

numEpochs - Number of epochs

NCCF

public NCCF(DataModel datamodel,
            int numEpochs,
            long seed)

Model constructor

Parameters:

datamodel - DataModel instance

numEpochs - Number of epochs

seed - Seed for random numbers generation

Method Detail

fit

public void fit()

Description copied from class: Recommender

Estimates model parameters given the hyper-parameters

Specified by:

fit in class Recommender

predict

public double predict(int userIndex,
                      int itemIndex)

Computes the probability that an item will be of interest to the user. This prediction can not be used as the predicted rating, so prediction quality measures such as MAE or MSE can not be used to evaluate this recommender.

Specified by:

predict in class Recommender

Parameters:

userIndex - Index of the user in the array of Users of the DataModel instance

itemIndex - Index of the item in the array of Items of the DataModel instance

Returns:

Prediction

getNumEpochs

public int getNumEpochs()

Returns the number of epochs.

Returns:

Number of epochs.

toString

public String toString()

Overrides:

toString in class Object