net.librec.recommender.cf.ranking

Class AoBPRRecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.MatrixFactorizationRecommender

net.librec.recommender.cf.ranking.AoBPRRecommender

All Implemented Interfaces:

Recommender

@ModelData(value={"isRanking","aobpr","userFactors","itemFactors"})
public class AoBPRRecommender
extends MatrixFactorizationRecommender

AoBPR: BPR with Adaptive Oversampling

Rendle and Freudenthaler, Improving pairwise learning for item recommendation from implicit feedback, WSDM 2014.

Author:

guoguibing and Keqiang Wang

Field Summary

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
AoBPRRecommender()

Method Summary

Methods

Modifier and Type	Method and Description
protected void	setup() setup init member method
java.util.List<java.util.Map.Entry<java.lang.Integer,java.lang.Double>>	sortByDenseVectorValue(DenseVector vector)
protected void	trainModel() train Model
void	updateRankingInFactor()

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, 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

Constructor Detail

AoBPRRecommender

public AoBPRRecommender()

Method Detail

setup

protected void setup()
              throws LibrecException

Description copied from class: MatrixFactorizationRecommender

setup init member method

Overrides:

setup in class MatrixFactorizationRecommender

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

sortByDenseVectorValue

public java.util.List<java.util.Map.Entry<java.lang.Integer,java.lang.Double>> sortByDenseVectorValue(DenseVector vector)

updateRankingInFactor

public void updateRankingInFactor()