net.librec.recommender.cf.rating

Class SVDPlusPlusRecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.MatrixFactorizationRecommender

net.librec.recommender.cf.rating.BiasedMFRecommender

net.librec.recommender.cf.rating.SVDPlusPlusRecommender

All Implemented Interfaces:

Recommender

@ModelData(value={"isRating","svdplusplus","userFactors","itemFactors","userBiases","itemBiases","impItemFactors","trainMatrix"})
public class SVDPlusPlusRecommender
extends BiasedMFRecommender

SVD++ Recommender

Author:

GuoGuibing and Keqiang Wang

Field Summary

Fields

Modifier and Type	Field and Description
protected DenseMatrix	impItemFactors item implicit feedback factors, "imp" string means implicit
protected java.util.List<java.util.List<java.lang.Integer>>	userItemsList user items list

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
SVDPlusPlusRecommender()

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

impItemFactors

protected DenseMatrix impItemFactors

item implicit feedback factors, "imp" string means implicit

userItemsList

protected java.util.List<java.util.List<java.lang.Integer>> userItemsList

user items list

Constructor Detail

SVDPlusPlusRecommender

public SVDPlusPlusRecommender()

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

Description copied from class: BiasedMFRecommender

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