net.librec.recommender.context.rating

Class SoRegRecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.MatrixFactorizationRecommender

net.librec.recommender.SocialRecommender

net.librec.recommender.context.rating.SoRegRecommender

All Implemented Interfaces:

Recommender

@ModelData(value={"isRating","soreg","userFactors","itemFactors"})
public class SoRegRecommender
extends SocialRecommender

Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu and Irwin King, Recommender systems with social regularization, WSDM 2011.

In the original paper, this method is named as "SR2_pcc". For consistency, we rename it as "SoReg" as used by some other papers such as: Tang et al., Exploiting Local and Global Social Context for Recommendation, IJCAI 2013.

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
SoRegRecommender()

Method Summary

Methods

Modifier and Type	Method and Description
protected double	predict(int userIdx, int itemIdx, boolean bound) 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

Methods inherited from class net.librec.recommender.MatrixFactorizationRecommender

predict, 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

SoRegRecommender

public SoRegRecommender()

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,
             boolean bound)
                  throws LibrecException

predict a specific rating for user userIdx on item itemIdx. It is useful for evalution which requires predictions are bounded.

Overrides:

predict in class SocialRecommender

Parameters:

userIdx - user index

itemIdx - item index

bound - whether there is a bound

Returns:

predictive rating for user userIdx on item itemIdx with bound

Throws:

LibrecException - if error occurs during predicting