net.librec.recommender.context.rating

Class RSTERecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.MatrixFactorizationRecommender

net.librec.recommender.SocialRecommender

net.librec.recommender.context.rating.RSTERecommender

All Implemented Interfaces:

Recommender

@ModelData(value={"isRating","rste","userFactors","itemFactors","userSocialRatio","socialMatrix"})
public class RSTERecommender
extends SocialRecommender

Hao Ma, Irwin King and Michael R. Lyu, Learning to Recommend with Social Trust Ensemble, SIGIR 2009.

This method is quite time-consuming when dealing with the social influence part.

Author:

guoguibing and Keqiang Wang

Field Summary

Fields inherited from class net.librec.recommender.SocialRecommender

regSocial, socialMatrix

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
RSTERecommender()

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.
void	setup() setup init member method
protected void	trainModel() train Model

Methods inherited from class net.librec.recommender.SocialRecommender

denormalize, normalize, predict

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, recommend, recommend, recommendRank, recommendRating, saveModel, setContext

Methods inherited from class java.lang.Object

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

Constructor Detail

RSTERecommender

public RSTERecommender()

Method Detail

setup

public void setup()
           throws LibrecException

Description copied from class: MatrixFactorizationRecommender

setup init member method

Overrides:

setup in class SocialRecommender

Throws:

LibrecException - if error occurs during setting up

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

protected double predict(int userIdx,
             int itemIdx)

Description copied from class: MatrixFactorizationRecommender

predict a specific rating for user userIdx on item itemIdx.

Overrides:

predict in class MatrixFactorizationRecommender

Parameters:

userIdx - user index

itemIdx - item index

Returns:

predictive rating for user userIdx on item itemIdx with bound