net.librec.recommender.ext

Class AssociationRuleRecommender

java.lang.Object

net.librec.recommender.AbstractRecommender

net.librec.recommender.ext.AssociationRuleRecommender

All Implemented Interfaces:

Recommender

public class AssociationRuleRecommender
extends AbstractRecommender

Choonho Kim and Juntae Kim, A Recommendation Algorithm Using Multi-Level Association Rules, WI 2003.

Simple Association Rule Recommender: we do not consider the item categories (or multi levels) used in the original paper. Besides, we consider all association rules without ruling out weak ones (by setting high support and confidence threshold).

Author:

guoguibing and wangkeqiang

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,SparseVector>	userCache user-vector cache, item-vector cache

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
AssociationRuleRecommender()

Method Summary

Methods

Modifier and Type	Method and Description
protected double	predict(int userIdx, int itemIdx) predict a specific rating 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

Field Detail

userCache

protected com.google.common.cache.LoadingCache<java.lang.Integer,SparseVector> userCache

user-vector cache, item-vector cache

cacheSpec

protected static java.lang.String cacheSpec

Guava cache configuration

Constructor Detail

AssociationRuleRecommender

public AssociationRuleRecommender()

Method Detail

setup

protected void setup()
              throws LibrecException

setup

Overrides:

setup in class AbstractRecommender

Throws:

LibrecException - if error occurs

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

predict a specific rating 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