net.librec.recommender.cf.rating

Class FMSGDRecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.FactorizationMachineRecommender

net.librec.recommender.cf.rating.FMSGDRecommender

All Implemented Interfaces:

Recommender

@ModelData(value={"isRanking","fmals","W","V","W0","k"})
public class FMSGDRecommender
extends FactorizationMachineRecommender

Stochastic Gradient Descent with Square Loss Rendle, Steffen, "Factorization Machines", Proceedings of the 10th IEEE International Conference on Data Mining, 2010 Rendle, Steffen, "Factorization Machines with libFM", ACM Transactions on Intelligent Systems and Technology, 2012

Author:

Jiaxi Tang and Ma Chen

Field Summary

Fields inherited from class net.librec.recommender.FactorizationMachineRecommender

k, LOG, n, numFactors, numIterations, p, Q, regF, regW, regW0, testTensor, trainTensor, V, validTensor, W, w0

Fields inherited from class net.librec.recommender.AbstractRecommender

conf, context, decay, earlyStop, globalMean, isBoldDriver, isRanking, itemMappingData, lastLoss, loss, maxRate, minRate, numItems, numRates, numUsers, ratingScale, recommendedList, testMatrix, topN, trainMatrix, userMappingData, validMatrix, verbose

Constructor Summary

Constructors

Constructor and Description
FMSGDRecommender()

Method Summary

Methods

Modifier and Type	Method and Description
protected double	predict(int userIdx, int itemIdx) Deprecated.
protected void	setup() setup
protected void	trainModel() train Model

Methods inherited from class net.librec.recommender.FactorizationMachineRecommender

predict, predict, recommendRating, tenserKeysToFeatureVector

Methods inherited from class net.librec.recommender.AbstractRecommender

cleanup, evaluate, evaluateMap, getContext, getDataModel, getRecommendedList, isConverged, loadModel, predict, recommend, recommend, recommendRank, saveModel, setContext

Methods inherited from class java.lang.Object

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

Constructor Detail

FMSGDRecommender

public FMSGDRecommender()

Method Detail

setup

protected void setup()
              throws LibrecException

Description copied from class: FactorizationMachineRecommender

setup

Overrides:

setup in class FactorizationMachineRecommender

Throws:

LibrecException - if error occurs

trainModel

protected void trainModel()
                   throws LibrecException

Description copied from class: AbstractRecommender

train Model

Specified by:

trainModel in class AbstractRecommender

Throws:

LibrecException - if error occurs during training model

predict

@Deprecated
protected double predict(int userIdx,
                        int itemIdx)
                  throws LibrecException

Deprecated.

This kind of prediction function cannot be applied to Factorization Machine. Using the predict() in FactorizationMachineRecommender class instead of this method.

Specified by:

predict in class AbstractRecommender

Parameters:

userIdx - user index

itemIdx - item index

Returns:

predictive rating for user userIdx on item itemIdx without bound

Throws:

LibrecException - if error occurs during predicting