net.librec.recommender.baseline

Class MostPopularRecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.baseline.MostPopularRecommender

All Implemented Interfaces:

Recommender

public class MostPopularRecommender
extends AbstractRecommender

Baseline: items are weighted by the number of ratings they received.

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
MostPopularRecommender()

Method Summary

Methods

Modifier and Type	Method and Description
protected double	predict(int userIdx, int itemIdx) The rated count as the predictive ranking score for user userIdx on item itemIdx.
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

MostPopularRecommender

public MostPopularRecommender()

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 userIdx,
             int itemIdx)
                  throws LibrecException

The rated count as the predictive ranking score for user userIdx on item itemIdx.

Specified by:

predict in class AbstractRecommender

Parameters:

userIdx - user index

itemIdx - item index

Returns:

predictive rating for user userIdx on item itemIdx

Throws:

LibrecException - if error occurs during predicting