net.librec.recommender.ext

Class PRankDRecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.MatrixFactorizationRecommender

net.librec.recommender.cf.ranking.RankSGDRecommender

net.librec.recommender.ext.PRankDRecommender

All Implemented Interfaces:

Recommender

@ModelData(value={"isRanking","prankd","userFactors","itemFactors","trainMatrix"})
public class PRankDRecommender
extends RankSGDRecommender

Neil Hurley, Personalised ranking with diversity, RecSys 2013.

Related Work:

• Jahrer and Toscher, Collaborative Filtering Ensemble for Ranking, JMLR, 2012 (KDD Cup 2011 Track 2).

Author:

guoguibing and Keqiang Wang

Field Summary

Fields inherited from class net.librec.recommender.cf.ranking.RankSGDRecommender

itemProbs

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
PRankDRecommender()

Method Summary

Methods

Modifier and Type	Method and Description
protected void	setup() initialization
protected void	trainModel() train model

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

PRankDRecommender

public PRankDRecommender()

Method Detail

setup

protected void setup()
              throws LibrecException

initialization

Overrides:

setup in class RankSGDRecommender

Throws:

LibrecException - if error occurs

trainModel

protected void trainModel()
                   throws LibrecException

train model

Overrides:

trainModel in class RankSGDRecommender

Throws:

LibrecException - if error occurs