net.librec.recommender.cf.rating

Class RBMRecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.cf.rating.RBMRecommender

All Implemented Interfaces:

Recommender

public class RBMRecommender
extends AbstractRecommender

This class implementing user-oriented Restricted Boltzmann Machines for Collaborative Filtering

The origin paper:

Salakhutdinov, R., Mnih, A. Hinton, G, Restricted BoltzmanMachines for Collaborative Filtering, To appear inProceedings of the 24thInternational Conference onMachine Learning 2007. http://www.cs.toronto.edu/~rsalakhu/papers/rbmcf.pdf

Author:

bin wu(Email:wubin@gs.zzu.edu.cn)

Field Summary

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
RBMRecommender()

Method Summary

Methods

Modifier and Type	Method and Description
protected double	predict(int u, int m) predict a specific rating for user userIdx on item itemIdx, note that the prediction is not bounded.
protected void	setup() setup
protected void	trainModel() train Model

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

RBMRecommender

public RBMRecommender()

Method Detail

setup

protected void setup()
              throws LibrecException

Description copied from class: AbstractRecommender

setup

Overrides:

setup in class AbstractRecommender

Throws:

LibrecException - if error occurs during setup

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 m)
                  throws LibrecException

Description copied from class: AbstractRecommender

predict a specific rating for user userIdx on item itemIdx, note that the prediction is not bounded. It is useful for building models with no need to bound predictions.

Specified by:

predict in class AbstractRecommender

Parameters:

u - user index

m - item index

Returns:

predictive rating for user userIdx on item itemIdx without bound

Throws:

LibrecException - if error occurs during predicting