net.librec.recommender.cf

Class UserKNNRecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.cf.UserKNNRecommender

All Implemented Interfaces:

Recommender

@ModelData(value={"isRanking","knn","userMeans","trainMatrix","similarityMatrix"})
public class UserKNNRecommender
extends AbstractRecommender

UserKNNRecommender

Author:

WangYuFeng and Keqiang Wang

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
UserKNNRecommender()

Method Summary

Methods

Modifier and Type	Method and Description
void	createUserSimilarityList() Create userSimilarityList.
double	predict(int userIdx, int itemIdx) (non-Javadoc)
protected void	setup() (non-Javadoc)
protected void	trainModel() (non-Javadoc)

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

UserKNNRecommender

public UserKNNRecommender()

Method Detail

setup

protected void setup()
              throws LibrecException

(non-Javadoc)

Overrides:

setup in class AbstractRecommender

Throws:

LibrecException - if error occurs during setup

See Also:

AbstractRecommender.setup()

trainModel

protected void trainModel()
                   throws LibrecException

(non-Javadoc)

Specified by:

trainModel in class AbstractRecommender

Throws:

LibrecException - if error occurs during training model

See Also:

AbstractRecommender.trainModel()

predict

public double predict(int userIdx,
             int itemIdx)
               throws LibrecException

(non-Javadoc)

Specified by:

predict in class AbstractRecommender

Parameters:

userIdx - user index

itemIdx - item index

Returns:

predictive rating for user userIdx on item itemIdx without bound

Throws:

LibrecException - if error occurs during predicting

See Also:

AbstractRecommender.predict(int, int)

createUserSimilarityList

public void createUserSimilarityList()

Create userSimilarityList.