net.librec.recommender.cf.ranking

Class FISMrmseRecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.MatrixFactorizationRecommender

net.librec.recommender.cf.ranking.FISMrmseRecommender

All Implemented Interfaces:

Recommender

@ModelData(value={"isRanking","fismrmse","P","Q","itemBiases","userBiases"})
public class FISMrmseRecommender
extends MatrixFactorizationRecommender

Kabbur et al., FISM: Factored Item Similarity Models for Top-N Recommender Systems, KDD 2013.

Field Summary

Fields

Modifier and Type	Field and Description
protected static java.lang.String	cacheSpec Guava cache configuration
protected com.google.common.cache.LoadingCache<java.lang.Integer,java.util.List<java.lang.Integer>>	userItemsCache user-items cache, item-users cache

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
FISMrmseRecommender()

Method Summary

Methods

Modifier and Type	Method and Description
protected double	predict(int u, int j) 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

Field Detail

userItemsCache

protected com.google.common.cache.LoadingCache<java.lang.Integer,java.util.List<java.lang.Integer>> userItemsCache

user-items cache, item-users cache

cacheSpec

protected static java.lang.String cacheSpec

Guava cache configuration

Constructor Detail

FISMrmseRecommender

public FISMrmseRecommender()

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

predict

protected double predict(int u,
             int j)
                  throws LibrecException

Description copied from class: MatrixFactorizationRecommender

predict a specific rating for user userIdx on item itemIdx.

Overrides:

predict in class MatrixFactorizationRecommender

Parameters:

u - user index

j - item index

Returns:

predictive rating for user userIdx on item itemIdx with bound

Throws:

LibrecException - if error occurs during predicting