net.librec.recommender.cf.rating

Class BPoissMFRecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.MatrixFactorizationRecommender

net.librec.recommender.cf.rating.BPoissMFRecommender

All Implemented Interfaces:

Recommender

public class BPoissMFRecommender
extends MatrixFactorizationRecommender

Prem Gopalan, et al. Scalable Recommendation with Poisson Factorization.

Author:

Haidong Zhang

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	BPoissMFRecommender.GammaDenseMatrix
class	BPoissMFRecommender.GammaDenseMatrixGR
class	BPoissMFRecommender.GammaDenseVector

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
BPoissMFRecommender()

Method Summary

Methods

Modifier and Type	Method and Description
protected DenseVector	getPhi(DenseMatrix Theta, int indexTheta, DenseMatrix Beta, int indexBeta, int number)
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

Constructor Detail

BPoissMFRecommender

public BPoissMFRecommender()

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

getPhi

protected DenseVector getPhi(DenseMatrix Theta,
                 int indexTheta,
                 DenseMatrix Beta,
                 int indexBeta,
                 int number)
                      throws LibrecException

Throws:

LibrecException

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)
                  throws LibrecException

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

Throws:

LibrecException - if error occurs during predicting