net.librec.recommender.context.rating

Class TimeSVDRecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.MatrixFactorizationRecommender

net.librec.recommender.cf.rating.BiasedMFRecommender

net.librec.recommender.context.rating.TimeSVDRecommender

All Implemented Interfaces:

Recommender

@ModelData(value={"isRating","timesvd","userFactors","itemFactors","userBiases","itemBiases","trainMatrix","timeMatrix"})
public class TimeSVDRecommender
extends BiasedMFRecommender

TimeSVD++ Recommender

Author:

Guo Guibing and Ma Chen

Field Summary

Fields

Modifier and Type	Field and Description
protected static java.lang.String	cacheSpec Guava cache configuration
protected DenseMatrix	P factorized user-factor matrix
protected DenseMatrix	Q factorized item-factor matrix

Fields inherited from class net.librec.recommender.cf.rating.BiasedMFRecommender

itemBiases, regBias, userBiases

Fields inherited from class net.librec.recommender.MatrixFactorizationRecommender

initMean, initStd, itemFactors, learnRate, maxLearnRate, numFactors, numIterations, regItem, regUser, userFactors

Fields inherited from class net.librec.recommender.AbstractRecommender

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

Constructor Summary

Constructors

Constructor and Description
TimeSVDRecommender()

Method Summary

Methods

Modifier and Type	Method and Description
protected double	predict(int userIdx, int itemIdx) predict a specific rating for user userIdx on item itemIdx.
protected void	setup() setup init member method
protected void	trainModel() train Model

Methods inherited from class net.librec.recommender.MatrixFactorizationRecommender

updateLRate

Methods inherited from class net.librec.recommender.AbstractRecommender

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

Methods inherited from class java.lang.Object

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

Field Detail

cacheSpec

protected static java.lang.String cacheSpec

Guava cache configuration

Q

protected DenseMatrix Q

factorized item-factor matrix

P

protected DenseMatrix P

factorized user-factor matrix

Constructor Detail

TimeSVDRecommender

public TimeSVDRecommender()

Method Detail

setup

protected void setup()
              throws LibrecException

Description copied from class: MatrixFactorizationRecommender

setup init member method

Overrides:

setup in class BiasedMFRecommender

Throws:

LibrecException - if error occurs during setting up

trainModel

protected void trainModel()
                   throws LibrecException

Description copied from class: AbstractRecommender

train Model

Overrides:

trainModel in class BiasedMFRecommender

Throws:

LibrecException - if error occurs during training model

predict

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

predict a specific rating for user userIdx on item itemIdx.

Overrides:

predict in class BiasedMFRecommender

Parameters:

userIdx - user index

itemIdx - item index

Returns:

predictive rating for user userIdx on item itemIdx

Throws:

LibrecException - if error occurs