A B C D E F G H I J K L M N O P Q R S T U V W X Y

A

a - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

User factors

a - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

add(int, double) - Method in class es.upm.etsisi.cf4j.data.types.SortedRatingList

Adds an ordered rating to the SortedRatingList.

addColumn(String, double) - Method in class es.upm.etsisi.cf4j.util.plot.ColumnPlot

Adds a column to the plot

addFixedParam(String, Object) - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Adds a fixed parameter

addFixedParam(String, String) - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Adds a fixed parameter

addFixedParam(String, double) - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Adds a fixed parameter

addFixedParam(String, int) - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Adds a fixed parameter

addFixedParam(String, long) - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Adds a fixed parameter

addFixedParam(String, boolean) - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Adds a fixed parameter

addParam(String, Object[]) - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Adds a variable parameter

addParam(String, String[]) - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Adds a variable parameter

addParam(String, double[]) - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Adds a variable parameter

addParam(String, int[]) - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Adds a variable parameter

addParam(String, long[]) - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Adds a variable parameter

addParam(String, boolean[]) - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Adds a variable parameter

addPoint(double, double) - Method in class es.upm.etsisi.cf4j.util.plot.ScatterPlot

Adds new point to the scatter plot

addRating(int, int, double) - Method in class es.upm.etsisi.cf4j.data.DataModel

Adds a single (training) rating to the DataModel.

addRating(int, double) - Method in class es.upm.etsisi.cf4j.data.Item

Adds a new rating of an user to the item.

addRating(int, double) - Method in class es.upm.etsisi.cf4j.data.User

Adds a new rating of the user to an item.

addSeries(String) - Method in class es.upm.etsisi.cf4j.util.plot.LinePlot

Adds a new empty series to the plot.

addSeries(String, double) - Method in class es.upm.etsisi.cf4j.util.plot.LinePlot

Adds a new series to the plot initializing all the values to a constant one.

addSeries(String, double[]) - Method in class es.upm.etsisi.cf4j.util.plot.LinePlot

Adds a new series to the plot. y values positions must be correlated with xs values.

addSeries(String) - Method in class es.upm.etsisi.cf4j.util.plot.XYPlot

Adds a new empty series to the plot.

addSeries(String, double, double) - Method in class es.upm.etsisi.cf4j.util.plot.XYPlot

Adds a new series to the plot initializing x and y to a constant one for all point labels.

addSeries(String, double[], double[]) - Method in class es.upm.etsisi.cf4j.util.plot.XYPlot

Adds a new series to the plot. xs and ys positions must be correlated with point labels.

addTestRating(int, int, double) - Method in class es.upm.etsisi.cf4j.data.DataModel

Adds a single test rating to the DataModel.

addTestRating(int, double) - Method in class es.upm.etsisi.cf4j.data.TestItem

Adds a new test rating of a test user to the test item.

addTestRating(int, double) - Method in class es.upm.etsisi.cf4j.data.TestUser

Adds a new test rating of the test user to an test item.

addValue(double) - Method in class es.upm.etsisi.cf4j.util.plot.HistogramPlot

Adds new value to the histogram

AdjustedCosine - Class in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

Implements traditional Adjusted Cosine as CF similarity metric for the items.

AdjustedCosine() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.AdjustedCosine

AdjustedCosine - Class in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

Implements traditional Adjusted Cosine as CF similarity metric.

AdjustedCosine() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.AdjustedCosine

afterRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.ItemSimilarityMetric

afterRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.UserSimilarityMetric

afterRun() - Method in interface es.upm.etsisi.cf4j.util.process.Partible

Is executed once after execute the method exec.

aggregationApproach - Variable in class es.upm.etsisi.cf4j.recommender.knn.ItemKNN

Aggregation approach used to aggregate k-nearest neighbors ratings

aggregationApproach - Variable in class es.upm.etsisi.cf4j.recommender.knn.UserKNN

Aggregation approach used to aggregate k-nearest neighbors ratings

alpha - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

This hyper-parameter is related to the possibility of obtaining overlapping groups of users sharing the same tastes.

alpha - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Alpha parameter

aPrime - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

arrayAverage(double[]) - Static method in class es.upm.etsisi.cf4j.util.Maths

Calculates the average of an double array

arrayAverage(int[]) - Static method in class es.upm.etsisi.cf4j.util.Maths

Calculates the average of an int array

arrayStandardDeviation(double[]) - Static method in class es.upm.etsisi.cf4j.util.Maths

Calculates the standard deviation of an double array

arrayStandardDeviation(int[]) - Static method in class es.upm.etsisi.cf4j.util.Maths

Calculate the standard deviation of an int array

average - Variable in class es.upm.etsisi.cf4j.data.Item

Average (training) rating

average - Variable in class es.upm.etsisi.cf4j.data.User

Average (training) rating

averageTest - Variable in class es.upm.etsisi.cf4j.data.TestItem

Average test rating

averageTest - Variable in class es.upm.etsisi.cf4j.data.TestUser

Average test rating

B

b - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Item factors

beforeRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.ItemSimilarityMetric

beforeRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.JMSD

beforeRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.MSD

beforeRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.PIP

beforeRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.Singularities

beforeRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.CJMSD

beforeRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.JMSD

beforeRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.MSD

beforeRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.PIP

beforeRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.Singularities

beforeRun() - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.UserSimilarityMetric

beforeRun() - Method in interface es.upm.etsisi.cf4j.util.process.Partible

Is executed once before execute the method 'exec'.

BenchmarkDataModels - Class in es.upm.etsisi.cf4j.data

This class allows final users to work with benchmark DataModel instances.

BenchmarkDataModels() - Constructor for class es.upm.etsisi.cf4j.data.BenchmarkDataModels

beta - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

This hyper-parameter represents the amount of evidence that the algorithm requires to deduce that a group of users likes an item.

beta - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Beta parameter

bi - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Item bias

bi - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

bi parameter

BiasedMF - Class in es.upm.etsisi.cf4j.recommender.matrixFactorization

Implements Koren, Y., Bell, R., & Volinsky, C. (2009).

BiasedMF(DataModel, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Model constructor from a Map containing the model's hyper-parameters values.

BiasedMF(DataModel, int, int) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Model constructor

BiasedMF(DataModel, int, int, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Model constructor

BiasedMF(DataModel, int, int, double) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Model constructor

BiasedMF(DataModel, int, int, double, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Model constructor

BiasedMF(DataModel, int, int, double, double, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Model constructor

BiasedMFGridSearch - Class in es.upm.etsisi.cf4j.examples.gridSearch

In this example we tune the hyper-parameters of BiasedMF recommender using the GridSearch tool.

BiasedMFGridSearch() - Constructor for class es.upm.etsisi.cf4j.examples.gridSearch.BiasedMFGridSearch

BNMF - Class in es.upm.etsisi.cf4j.recommender.matrixFactorization

Implements Hernando, A., Bobadilla, J., & Ortega, F. (2016).

BNMF(DataModel, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Model constructor from a Map containing the model's hyper-parameters values.

BNMF(DataModel, int, int, double, double) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Model constructor

BNMF(DataModel, int, int, double, double, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Model constructor

BNMF(DataModel, int, int, double, double, double, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Model constructor

BookCrossing() - Static method in class es.upm.etsisi.cf4j.data.BenchmarkDataModels

Loads a DataModel instance of BookCrossing dataset.

bPrime - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

bu - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

User bias

bu - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

bu parameter

C

c - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

CJMSD - Class in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

Implements the following CF similarity metric: Bobadilla, J., Ortega, F., Hernando, A., & Arroyo, A. (2012).

CJMSD() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.CJMSD

CLiMF - Class in es.upm.etsisi.cf4j.recommender.matrixFactorization

Implements Shi, Y., Karatzoglou, A., Baltrunas, L., Larson, M., Oliver, N., & Hanjalic, A

CLiMF(DataModel, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Model constructor from a Map containing the model's hyper-parameters values.

CLiMF(DataModel, int, int) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Model constructor

CLiMF(DataModel, int, int, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Model constructor

CLiMF(DataModel, int, int, double, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Model constructor

CLiMF(DataModel, int, int, double) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Model constructor

CLiMF(DataModel, int, double, double, int, double) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Model constructor

CLiMF(DataModel, int, double, double, int, double, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Model constructor

ColumnPlot - Class in es.upm.etsisi.cf4j.util.plot

Implements a column plot.

ColumnPlot(String, String) - Constructor for class es.upm.etsisi.cf4j.util.plot.ColumnPlot

Creates a new ColumnPlot

ColumnPlotExample - Class in es.upm.etsisi.cf4j.examples.plot

In this example we analyze the rating value distribution of MovieLens 1M dataset using a ColumnPlot.

ColumnPlotExample() - Constructor for class es.upm.etsisi.cf4j.examples.plot.ColumnPlotExample

compareTo(Rating) - Method in class es.upm.etsisi.cf4j.data.types.Rating

contains(String) - Method in class es.upm.etsisi.cf4j.data.DataBank

Finds if an element exist inside the DataBank

Correlation - Class in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

This class Implements Pearson Correlation as CF similarity metric for the items.

Correlation() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.Correlation

Correlation - Class in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

Implements traditional Pearson Correlation as CF similarity metric.

Correlation() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.Correlation

CorrelationConstrained - Class in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

This class implements the Constrained Correlation as CF similarity metric for items.

CorrelationConstrained(double) - Constructor for class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.CorrelationConstrained

Constructor of the similarity metric

CorrelationConstrained - Class in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

Implements traditional Pearson Correlation Constrained as CF similarity metric.

CorrelationConstrained(double) - Constructor for class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.CorrelationConstrained

Constructor of the similarity metric

Cosine - Class in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

Implements Cosine as CF similarity metric for the items.

Cosine() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.Cosine

Cosine - Class in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

Implements traditional Cosine as CF similarity metric.

Cosine() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.Cosine

Coverage - Class in es.upm.etsisi.cf4j.qualityMeasure.prediction

This class calculates the Coverage of the recommender system.

Coverage(Recommender) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.prediction.Coverage

Constructor of the class which basically calls the father's one.

cPrime - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

D

DataBank - Class in es.upm.etsisi.cf4j.data

DataBank is focused on storing heterogeneous data as a support to the calculations made in the recommendation process.

DataBank() - Constructor for class es.upm.etsisi.cf4j.data.DataBank

dataBank - Variable in class es.upm.etsisi.cf4j.data.Item

DataBank to store heterogeneous information

dataBank - Variable in class es.upm.etsisi.cf4j.data.User

DataBank to store heterogeneous information

DataModel - Class in es.upm.etsisi.cf4j.data

This class manages all the information related with a collaborative filtering based recommender system.

DataModel(DataSet) - Constructor for class es.upm.etsisi.cf4j.data.DataModel

This constructor initializes the DataModel with the contents of the given DataSet.

datamodel - Variable in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.ItemSimilarityMetric

DataModel for which de similarities must be computed

datamodel - Variable in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.UserSimilarityMetric

DataModel for which de similarities must be computed

datamodel - Variable in class es.upm.etsisi.cf4j.recommender.Recommender

DataModel instance used for the Recommender

DataSet - Interface in es.upm.etsisi.cf4j.data

This interface works as a bridge between the raw file and the DataModel.

DataSetEntry - Class in es.upm.etsisi.cf4j.data.types

Structural class which stores Triplets: user identifier (String), item identifier (string), and rating value.

DataSetEntry(String, String, double) - Constructor for class es.upm.etsisi.cf4j.data.types.DataSetEntry

Creates a new DataSet entry form an user identifier, an item identifier and a rating value.

DEFAULT_A - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

DEFAULT_A_PRIME - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

DEFAULT_B_PRIME - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

DEFAULT_C - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

DEFAULT_C_PRIME - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

DEFAULT_D_PRIME - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

DEFAULT_GAMMA - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

DEFAULT_GAMMA - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

DEFAULT_GAMMA - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

DEFAULT_GAMMA - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

DEFAULT_H - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

DEFAULT_LAMBDA - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

DEFAULT_LAMBDA - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

DEFAULT_LAMBDA - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

DEFAULT_LAMBDA - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

DEFAULT_R - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

DEFAULT_SEPARATOR - Static variable in class es.upm.etsisi.cf4j.data.RandomSplitDataSet

DEFAULT_SEPARATOR - Static variable in class es.upm.etsisi.cf4j.data.TrainTestFilesDataSet

delete(String) - Method in class es.upm.etsisi.cf4j.data.DataBank

Deletes a value associated to a single element key.

deleteAll() - Method in class es.upm.etsisi.cf4j.data.DataBank

Deletes all content of this DataBank.

Discovery - Class in es.upm.etsisi.cf4j.qualityMeasure.recommendation

This class the averaged novelty of the recomendations.

Discovery(Recommender, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Discovery

Constructor from a Map object with the quality measure parameters.

Discovery(Recommender, int) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Discovery

Constructor of Novelty

Diversity - Class in es.upm.etsisi.cf4j.qualityMeasure.recommendation

This class the averaged diversity of the recomendations.

Diversity(Recommender, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Diversity

Constructor from a Map object with the quality measure parameters.

Diversity(Recommender, int) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Diversity

Constructor of Diversity

dotProduct(double[], double[]) - Static method in class es.upm.etsisi.cf4j.util.Maths

Dot product between two vectors

dPrime - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

draw() - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Draws the plot into a JFrame

E

EPSILON - Static variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

epsilonMinus - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Epsilon- parameters

epsilonPlus - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Epsilon+ parameters

equals(Object) - Method in class es.upm.etsisi.cf4j.data.types.DataSetEntry

es.upm.etsisi.cf4j.data - package es.upm.etsisi.cf4j.data

This package contains data classes of CF4J.

es.upm.etsisi.cf4j.data.types - package es.upm.etsisi.cf4j.data.types

This package contains types classes used by data objects of CF4J.

es.upm.etsisi.cf4j.examples - package es.upm.etsisi.cf4j.examples

This package contains examples of CF4J usage.

es.upm.etsisi.cf4j.examples.gridSearch - package es.upm.etsisi.cf4j.examples.gridSearch

This package contains examples showing how to use GridSearch tool of CF4J.

es.upm.etsisi.cf4j.examples.plot - package es.upm.etsisi.cf4j.examples.plot

This package contains examples showing how to plot with CF4J

es.upm.etsisi.cf4j.examples.recommender - package es.upm.etsisi.cf4j.examples.recommender

This package contains examples showing how to compare different Recommenders with CF4J.

es.upm.etsisi.cf4j.qualityMeasure - package es.upm.etsisi.cf4j.qualityMeasure

Contains the implementation of different quality measures for collaborative filtering based recommender systems.

es.upm.etsisi.cf4j.qualityMeasure.prediction - package es.upm.etsisi.cf4j.qualityMeasure.prediction

Contains the implementation of different quality measures oriented to predictions.

es.upm.etsisi.cf4j.qualityMeasure.recommendation - package es.upm.etsisi.cf4j.qualityMeasure.recommendation

Contains the implementation of different quality measures oriented to recommendations.

es.upm.etsisi.cf4j.recommender - package es.upm.etsisi.cf4j.recommender

This package contains the implementation of different collaborative filtering based recommenders.

es.upm.etsisi.cf4j.recommender.knn - package es.upm.etsisi.cf4j.recommender.knn

This package contains the implementation of different knn based collaborative filtering recommenders.

es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric - package es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

This package contains different implementations of item-to-item similarity metrics used in the item-to-item knn based collaborative filtering algorithm.

es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric - package es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

This package contains different implementations of user-to-user similarity metric used in the user-to-user knn based collaborative filtering algorithm.

es.upm.etsisi.cf4j.recommender.matrixFactorization - package es.upm.etsisi.cf4j.recommender.matrixFactorization

This package contains the implementation of different matrix factorization based collaborative filtering recommenders.

es.upm.etsisi.cf4j.util - package es.upm.etsisi.cf4j.util

This package contains different utilities used by the CF4J.

es.upm.etsisi.cf4j.util.optimization - package es.upm.etsisi.cf4j.util.optimization

This package includes optimization utils designed to tune recommenders' hyper-parameters.

es.upm.etsisi.cf4j.util.plot - package es.upm.etsisi.cf4j.util.plot

This package includes plotting utils designed to analyze data of results obtained as consequence of collaborative filtering research.

es.upm.etsisi.cf4j.util.process - package es.upm.etsisi.cf4j.util.process

This package includes processing utils designed to parallelize fitting processes.

exec(Object[], Partible) - Static method in class es.upm.etsisi.cf4j.util.process.Parallelizer

Execs Partible for each object contained in the objects array.

exec(Object[], Partible, int) - Static method in class es.upm.etsisi.cf4j.util.process.Parallelizer

Execs Partible for each object contained in the objects array.

exportData(String) - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Exports plot data into a CSV file

exportData(String, String) - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Exports plot data into a CSV file

exportData(String, boolean) - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Exports plot data into a CSV file

exportData(String, String, boolean) - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Exports plot data into a CSV file

exportPlot(String) - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Exports the plot to a PNG file

F

F1 - Class in es.upm.etsisi.cf4j.qualityMeasure.recommendation

This class calculates the F1 score of the recommender system.

F1(Recommender, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.F1

Constructor from a Map object with the quality measure parameters.

F1(Recommender, int, double) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.F1

Constructor

FilmTrust() - Static method in class es.upm.etsisi.cf4j.data.BenchmarkDataModels

Loads a DataModel instance of FilmTrust dataset.

find(int) - Method in class es.upm.etsisi.cf4j.data.types.SortedRatingList

Finds the position of an index

findItem(int) - Method in class es.upm.etsisi.cf4j.data.User

Finds position of a user's rating given the index of the Item in the DataModel.

findItemIndex(String) - Method in class es.upm.etsisi.cf4j.data.DataModel

Finds the itemIndex of an Item at the Items' array given its unique id.

findTestItemIndex(String) - Method in class es.upm.etsisi.cf4j.data.DataModel

Finds the testItemIndex of a TestItem at the TestItem' array given its unique id.

findTestUserIndex(String) - Method in class es.upm.etsisi.cf4j.data.DataModel

Finds the testUserIndex of a TestUser at the TestUsers' array given his/her unique id.

findTopN(double[], int) - Static method in class es.upm.etsisi.cf4j.util.Search

Returns the indexes of the biggest n elements of the values array.

findUser(int) - Method in class es.upm.etsisi.cf4j.data.Item

Finds position of a rating that an user has made to the item given the index of the User in the DataModel.

findUserIndex(String) - Method in class es.upm.etsisi.cf4j.data.DataModel

Finds the userIndex of a User at the Users' array given his/her unique id.

fit() - Method in class es.upm.etsisi.cf4j.recommender.knn.ItemKNN

fit() - Method in class es.upm.etsisi.cf4j.recommender.knn.UserKNN

fit() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

fit() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

fit() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

fit() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

fit() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.NMF

fit() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

fit() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

fit() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

fit() - Method in class es.upm.etsisi.cf4j.recommender.Recommender

Estimates model parameters given the hyper-parameters

fit() - Method in class es.upm.etsisi.cf4j.util.optimization.GridSearch

Performs grid search

G

gamma - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Learning rate

gamma - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Gamma parameters

gamma - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Learning rate

gamma - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

gamma - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Learning rate

gamma - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Learning rate hyper-parameter

gamma - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Gamma parameter

gammaRte - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

gammaShp - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

getAlpha() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Get the alpha value

getBackgroundColor() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Gets the plot's background color

getBeta() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Get the beta value

getBoolean(String) - Method in class es.upm.etsisi.cf4j.data.DataBank

Gets an stored boolean inside the DataBank.

getBoolean(String) - Method in class es.upm.etsisi.cf4j.util.Parameters

Get a Boolean parameter from a key

getBooleanArray(String) - Method in class es.upm.etsisi.cf4j.data.DataBank

Gets an stored boolean array inside the DataBank.

getClearInset() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Gets the inset for a clear border

getColor(int) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Gets a color from the palette

getColorPalette() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Gets the color palette

getDataBank() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the DataBank instance that stores heterogeneous information related to the DataModel.

getDataBank() - Method in class es.upm.etsisi.cf4j.data.Item

Gets the DataBank instance that stores heterogeneous information related to the Item.

getDataBank() - Method in class es.upm.etsisi.cf4j.data.User

Gets the DataBank instance that stores heterogeneous information related to the User.

getDataContent(String, String) - Method in class es.upm.etsisi.cf4j.util.plot.ColumnPlot

getDataContent(String, String) - Method in class es.upm.etsisi.cf4j.util.plot.HistogramPlot

getDataContent(String, String) - Method in class es.upm.etsisi.cf4j.util.plot.LinePlot

getDataContent(String, String) - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Returns an String matrix with the content of the plot's data.

getDataContent(String, String) - Method in class es.upm.etsisi.cf4j.util.plot.ScatterPlot

getDataContent(String, String) - Method in class es.upm.etsisi.cf4j.util.plot.XYPlot

getDataHeaders() - Method in class es.upm.etsisi.cf4j.util.plot.ColumnPlot

getDataHeaders() - Method in class es.upm.etsisi.cf4j.util.plot.HistogramPlot

getDataHeaders() - Method in class es.upm.etsisi.cf4j.util.plot.LinePlot

getDataHeaders() - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Returns an String array with the headers of the plot's data

getDataHeaders() - Method in class es.upm.etsisi.cf4j.util.plot.ScatterPlot

getDataHeaders() - Method in class es.upm.etsisi.cf4j.util.plot.XYPlot

getDataModel() - Method in class es.upm.etsisi.cf4j.recommender.Recommender

Returns the DataModel instance

getDevelopmentSetIterator() - Method in class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Returns the development set created from the grid parameters

getDouble(String) - Method in class es.upm.etsisi.cf4j.data.DataBank

Gets an stored double inside the DataBank.

getDouble(String) - Method in class es.upm.etsisi.cf4j.util.Parameters

Get a Double parameter from a key

getDoubleArray(String) - Method in class es.upm.etsisi.cf4j.data.DataBank

Gets an stored double array inside the DataBank.

getDoubleArray(String) - Method in class es.upm.etsisi.cf4j.util.Parameters

Get a Double array parameter from a key

getEpsilonMinus(int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Get the epsilon- vector of an item

getEpsilonPlus(int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Get the epsilon+ vector of an item

getGamma() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Get the learning rate parameter of the model

getGamma(int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Get the gamma vector of an user

getGamma() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Get the learning rate parameter of the model

getGamma() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Get the learning rate parameter of the model

getGamma() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Getter of the gamma value.

getGralPlot() - Method in class es.upm.etsisi.cf4j.util.plot.ColumnPlot

getGralPlot() - Method in class es.upm.etsisi.cf4j.util.plot.HistogramPlot

getGralPlot() - Method in class es.upm.etsisi.cf4j.util.plot.LinePlot

getGralPlot() - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Gets an AbstractPlot using GRAL

getGralPlot() - Method in class es.upm.etsisi.cf4j.util.plot.ScatterPlot

getGralPlot() - Method in class es.upm.etsisi.cf4j.util.plot.XYPlot

getH() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Get the H value

getHeight() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Get the plot height in pixels

getId() - Method in class es.upm.etsisi.cf4j.data.Item

Returns the item unique identifier

getId() - Method in class es.upm.etsisi.cf4j.data.User

Returns the user unique identifier

getIndex() - Method in class es.upm.etsisi.cf4j.data.types.Rating

Gets the stored index.

getIndex(int[], int) - Static method in class es.upm.etsisi.cf4j.util.Search

Gets efficiently the userIndex of an element in an array of integers

getInt(String) - Method in class es.upm.etsisi.cf4j.data.DataBank

Gets an stored int inside the DataBank.

getIntArray(String) - Method in class es.upm.etsisi.cf4j.data.DataBank

Gets an stored int array inside the DataBank.

getInteger(String) - Method in class es.upm.etsisi.cf4j.util.Parameters

Get an Integer parameter from a key

getIntegerArray(String) - Method in class es.upm.etsisi.cf4j.util.Parameters

Get an Integer array parameter from a key

getItem(int) - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets an Item by its index.

getItemAt(int) - Method in class es.upm.etsisi.cf4j.data.User

Returns the index of the Item rated by the User at the given position.

getItemFactors(int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Get the latent factors vector of an item (bi)

getItemFactors(int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Get the latent factors vector of an item (qi)

getItemIndex() - Method in class es.upm.etsisi.cf4j.data.Item

Return the item index inside the DataModel

getItems() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the array of Items.

getLambda() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Get the regularization parameter of the model

getLambda() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Get the regularization parameter of the model

getLambda() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Get the regularization parameter of the model

getLambda() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Getter of the Lambda value.

getLegendDistance() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Gets the legend distance

getLegendInset() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Gets the inset for the legend

getMaxRating() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the maximum (training) rating.

getMaxRating() - Method in class es.upm.etsisi.cf4j.data.Item

Gets the maximum rating received by the item.

getMaxRating() - Method in class es.upm.etsisi.cf4j.data.User

Gets the maximum rating of the user

getMaxTestRating() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the maximum test rating.

getMaxTestRating() - Method in class es.upm.etsisi.cf4j.data.TestItem

Gets the maximum test rating received by the item

getMaxTestRating() - Method in class es.upm.etsisi.cf4j.data.TestUser

Gets the maximum test rating of the user

getMinRating() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the minimum (training) rating.

getMinRating() - Method in class es.upm.etsisi.cf4j.data.Item

Gets the minimum rating received by the item.

getMinRating() - Method in class es.upm.etsisi.cf4j.data.User

Gets the minimum rating of the user

getMinTestRating() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the minimum test rating.

getMinTestRating() - Method in class es.upm.etsisi.cf4j.data.TestItem

Gets the minimum test rating received by the item

getMinTestRating() - Method in class es.upm.etsisi.cf4j.data.TestUser

Gets the minimum test rating of the user

getNumberOfItems() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the number of items contained in the DataModel.

getNumberOfRatings() - Method in class es.upm.etsisi.cf4j.data.DataModel

Return the number of ratings contained in the DataModel.

getNumberOfRatings() - Method in interface es.upm.etsisi.cf4j.data.DataSet

This method indicates the number of (training) ratings.

getNumberOfRatings() - Method in class es.upm.etsisi.cf4j.data.Item

Gets the number of ratings that the item have received

getNumberOfRatings() - Method in class es.upm.etsisi.cf4j.data.RandomSplitDataSet

getNumberOfRatings() - Method in class es.upm.etsisi.cf4j.data.TrainTestFilesDataSet

getNumberOfRatings() - Method in class es.upm.etsisi.cf4j.data.User

Gets the number of items rated by the user

getNumberOfTestItems() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the number of test items contained in the DataModel.

getNumberOfTestRatings() - Method in class es.upm.etsisi.cf4j.data.DataModel

Return the number of test ratings contained in the DataModel.

getNumberOfTestRatings() - Method in interface es.upm.etsisi.cf4j.data.DataSet

This method indicates the number of test ratings.

getNumberOfTestRatings() - Method in class es.upm.etsisi.cf4j.data.RandomSplitDataSet

getNumberOfTestRatings() - Method in class es.upm.etsisi.cf4j.data.TestItem

Gets the number of test users that have rated the item.

getNumberOfTestRatings() - Method in class es.upm.etsisi.cf4j.data.TestUser

Gets the number of test items rated by the user.

getNumberOfTestRatings() - Method in class es.upm.etsisi.cf4j.data.TrainTestFilesDataSet

getNumberOfTestUsers() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the number of test users contained in the DataModel.

getNumberOfUsers() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the number of users contained in the DataModel.

getNumFactors() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Get the number of factors of the model

getNumFactors() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Get the number of factors of the model

getNumFactors() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Get the number of factors of the model

getNumFactors() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

Get the number of factors of the model

getNumFactors() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.NMF

Get the number of factors of the model

getNumFactors() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Get the number of factors of the model

getNumFactors() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Number of factors used in this recommender.

getNumFactors() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Get the number of factors of the model

getNumIters() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Get the number of iterations

getNumIters() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Get the number of iterations

getNumIters() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Get the number of iterations

getNumIters() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

Get the number of iterations

getNumIters() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.NMF

Get the number of iterations

getNumIters() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Get the number of iterations

getNumIters() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Number of iterations used in this recommender.

getNumIters() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Get the number of iterations

getPredictionProbabilityDistribution(int, int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Returns the probability distribution of a prediction.

getPrimaryFont() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Gets the primary font

getR() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Get the r value

getRating() - Method in class es.upm.etsisi.cf4j.data.types.Rating

Gets the rating value.

getRatingAt(int) - Method in class es.upm.etsisi.cf4j.data.Item

Returns the rating of the user to the item at the pos position

getRatingAt(int) - Method in class es.upm.etsisi.cf4j.data.User

Returns the rating of the user to the item at the pos position

getRatingAverage() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the average of (training) ratings.

getRatingAverage() - Method in class es.upm.etsisi.cf4j.data.Item

Gets the average value of ratings

getRatingAverage() - Method in class es.upm.etsisi.cf4j.data.User

Gets the average value of ratings

getRatings() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Get the plausible ratings

getRatingsIterator() - Method in interface es.upm.etsisi.cf4j.data.DataSet

This method generates an iterator to navigate through the raw ratings stored in DataSetEntries.

getRatingsIterator() - Method in class es.upm.etsisi.cf4j.data.RandomSplitDataSet

getRatingsIterator() - Method in class es.upm.etsisi.cf4j.data.TrainTestFilesDataSet

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.prediction.Coverage

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.prediction.MAE

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.prediction.Max

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.prediction.MSE

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.prediction.MSLE

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.prediction.Perfect

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.prediction.R2

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.prediction.RMSE

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.QualityMeasure

Computes the quality measure score for a TestUser given the predictions for his/her test ratings

getScore(int) - Method in class es.upm.etsisi.cf4j.qualityMeasure.QualityMeasure

Computes the quality measure of the recommender

getScore() - Method in class es.upm.etsisi.cf4j.qualityMeasure.QualityMeasure

Computes the quality measure of the recommender

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Discovery

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Diversity

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.recommendation.F1

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.recommendation.NDCG

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Novelty

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Precision

getScore(TestUser, double[]) - Method in class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Recall

getSecondaryFont() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Gets the secondary font

getSimilarities(int) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.ItemSimilarityMetric

Returns the similarity array of an item.

getSimilarities(int) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.UserSimilarityMetric

Returns the similarity array of an user.

getString(String) - Method in class es.upm.etsisi.cf4j.data.DataBank

Gets an stored String inside the DataBank.

getString(String) - Method in class es.upm.etsisi.cf4j.util.Parameters

Get a String parameter from a key

getStringArray(String) - Method in class es.upm.etsisi.cf4j.data.DataBank

Gets an stored String array inside the DataBank.

getTestItem(int) - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets a TestItem by its index.

getTestItemAt(int) - Method in class es.upm.etsisi.cf4j.data.TestUser

Returns the index of the TestItem rated by the TestUser at the given position.

getTestItemIndex() - Method in class es.upm.etsisi.cf4j.data.TestItem

Returns the test item index inside the DataModel

getTestItems() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the array of TestItems.

getTestRatingAt(int) - Method in class es.upm.etsisi.cf4j.data.TestItem

Returns the test rating of the test user to the test item at the pos position

getTestRatingAt(int) - Method in class es.upm.etsisi.cf4j.data.TestUser

Returns the test rating of the user to the test item at the pos position

getTestRatingAverage() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the average of test ratings.

getTestRatingAverage() - Method in class es.upm.etsisi.cf4j.data.TestItem

Gets the average value of test ratings

getTestRatingAverage() - Method in class es.upm.etsisi.cf4j.data.TestUser

Gets the average value of test ratings

getTestRatingsIterator() - Method in interface es.upm.etsisi.cf4j.data.DataSet

This method generates an iterator to navigate through the raw test ratings stored in DataSetEntries.

getTestRatingsIterator() - Method in class es.upm.etsisi.cf4j.data.RandomSplitDataSet

getTestRatingsIterator() - Method in class es.upm.etsisi.cf4j.data.TrainTestFilesDataSet

getTestUser(int) - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets a TestUser by his/her test index.

getTestUserAt(int) - Method in class es.upm.etsisi.cf4j.data.TestItem

Returns the index of the TestUser that have test rated the TestItem at the given position

getTestUserIndex() - Method in class es.upm.etsisi.cf4j.data.TestUser

Returns the test user index inside the DataModel

getTestUsers() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the array of TestUsers.

GettingStartedExample - Class in es.upm.etsisi.cf4j.examples

In this example we analyze how the Mean Squared Error (MSE) varies according to the value of the regularization term in Probabilistic Matrix Factorization (PMF).

GettingStartedExample() - Constructor for class es.upm.etsisi.cf4j.examples.GettingStartedExample

getUser(int) - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets an User by his/her index.

getUserAt(int) - Method in class es.upm.etsisi.cf4j.data.Item

Returns the index of the User that have rated the Item at the given position

getUserFactors(int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Get the latent factors vector of a user (au)

getUserFactors(int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Get the latent factors vector of a user (pu)

getUserIndex() - Method in class es.upm.etsisi.cf4j.data.User

Return the user index inside the DataModel

getUsers() - Method in class es.upm.etsisi.cf4j.data.DataModel

Gets the array of Users.

getWidth() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Get plot with in pixels

getxAxisInset() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Gets the inset for the x axis

getxAxisLabelDistance() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Gets the label distance in the x axis

getyAxisInset() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Gets the inset for the y axis

getyAxisLabelDistance() - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Gets the label distance in the y axis

GridSearch - Class in es.upm.etsisi.cf4j.util.optimization

Utility class to performs a grid search over a Recommender instance.

GridSearch(DataModel, ParamsGrid, Class<? extends Recommender>, Class<? extends QualityMeasure>) - Constructor for class es.upm.etsisi.cf4j.util.optimization.GridSearch

GridSearch constructor

GridSearch(DataModel, ParamsGrid, Class<? extends Recommender>, Class<? extends QualityMeasure>, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.util.optimization.GridSearch

GridSearch constructor

H

h - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.NMF

Item factors

H - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Heuristic factor to control number of iterations during E-Step

hashCode() - Method in class es.upm.etsisi.cf4j.data.types.DataSetEntry

HistogramPlot - Class in es.upm.etsisi.cf4j.util.plot

Implements a histogram plot.

HistogramPlot(String, int) - Constructor for class es.upm.etsisi.cf4j.util.plot.HistogramPlot

Creates a new HistogramPlot

HistogramPlotExample - Class in es.upm.etsisi.cf4j.examples.plot

In this example we analyze the average rating of each item that belongs to MovieLens 1M dataset.

HistogramPlotExample() - Constructor for class es.upm.etsisi.cf4j.examples.plot.HistogramPlotExample

HPF - Class in es.upm.etsisi.cf4j.recommender.matrixFactorization

Implements Gopalan, P., Hofman, J.

HPF(DataModel, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

Model constructor from a Map containing the model's hyper-parameters values.

HPF(DataModel, int, int) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

Models constructor

HPF(DataModel, int, int, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

Models constructor

HPF(DataModel, int, int, double, double, double, double, double, double) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

Models constructor

HPF(DataModel, int, int, double, double, double, double, double, double, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

Models constructor

I

id - Variable in class es.upm.etsisi.cf4j.data.Item

Item unique identifier

id - Variable in class es.upm.etsisi.cf4j.data.User

User unique identifier

Item - Class in es.upm.etsisi.cf4j.data

Defines a composition of an Item.

Item(String, int) - Constructor for class es.upm.etsisi.cf4j.data.Item

Creates a new instance of an item.

itemId - Variable in class es.upm.etsisi.cf4j.data.types.DataSetEntry

Identifier of the item rated by the user

itemIndex - Variable in class es.upm.etsisi.cf4j.data.Item

Item index in the DataModel

ItemKNN - Class in es.upm.etsisi.cf4j.recommender.knn

Implements item-to-item KNN based collaborative filtering

ItemKNN(DataModel, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.recommender.knn.ItemKNN

Recommender constructor from a Map containing the recommender's hyper-parameters values.

ItemKNN(DataModel, int, ItemSimilarityMetric, ItemKNN.AggregationApproach) - Constructor for class es.upm.etsisi.cf4j.recommender.knn.ItemKNN

Recommender constructor

ItemKNN.AggregationApproach - Enum in es.upm.etsisi.cf4j.recommender.knn

Available aggregation approaches to merge k-nearest neighbors ratings

ItemKnnComparison - Class in es.upm.etsisi.cf4j.examples.recommender

In this example we compare the MSLE and nDCG quality measures scores for different similarity metrics applied to item-to-item knn based collaborative filtering.

ItemKnnComparison() - Constructor for class es.upm.etsisi.cf4j.examples.recommender.ItemKnnComparison

ItemSimilarityMetric - Class in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

This class process the similarity measure between two items.

ItemSimilarityMetric() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.ItemSimilarityMetric

itemsRatings - Variable in class es.upm.etsisi.cf4j.data.User

Items rated by the user

J

Jaccard - Class in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

This class Implements Jaccard Index as CF similarity metric for the items.

Jaccard() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.Jaccard

Jaccard - Class in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

Implements traditional Jaccard Index as CF similarity metric.

Jaccard() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.Jaccard

Jester() - Static method in class es.upm.etsisi.cf4j.data.BenchmarkDataModels

Loads a DataModel instance of Jester (Dataset 3) dataset.

JMSD - Class in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

This class implements JMSD as the similarity metric for the items.

JMSD() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.JMSD

JMSD - Class in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

Implements the following CF similarity metric: Bobadilla, J., Serradilla, F., & Bernal, J

JMSD() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.JMSD

K

kappaRte - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

kappaShp - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

L

lambda - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Regularization parameter

lambda - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Regularization

lambda - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

lambda - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Regularization parameter

lambda - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Regularization hyper-parameter

lambdaRte - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

lambdaShp - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

LibimSeTi() - Static method in class es.upm.etsisi.cf4j.data.BenchmarkDataModels

Loads a DataModel instance of LibimSeTi dataset.

LinePlot - Class in es.upm.etsisi.cf4j.util.plot

Implements a LinePlot.

LinePlot(int[], String, String) - Constructor for class es.upm.etsisi.cf4j.util.plot.LinePlot

Creates a new LinePlot

LinePlot(int[], String, String, boolean) - Constructor for class es.upm.etsisi.cf4j.util.plot.LinePlot

Creates a new LinePlot

LinePlot(double[], String, String) - Constructor for class es.upm.etsisi.cf4j.util.plot.LinePlot

Creates a new LinePlot

LinePlot(double[], String, String, boolean) - Constructor for class es.upm.etsisi.cf4j.util.plot.LinePlot

Creates a new LinePlot

LinePlotExample - Class in es.upm.etsisi.cf4j.examples.plot

In this example we compare the F1 score of the recommendations performed by PMF and NMF recommenders.

LinePlotExample() - Constructor for class es.upm.etsisi.cf4j.examples.plot.LinePlotExample

load(String) - Static method in class es.upm.etsisi.cf4j.data.DataModel

Loads a DataModel from a previously serialized file (see save() method).

log(double, double) - Static method in class es.upm.etsisi.cf4j.util.Maths

Returns the log in an specific base

logistic(double) - Static method in class es.upm.etsisi.cf4j.util.Maths

Returns the logistic function g(x)

M

MAE - Class in es.upm.etsisi.cf4j.qualityMeasure.prediction

This class calculates the Mean Absolute Error (MAE) between the predictions and the test ratings.

MAE(Recommender) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.prediction.MAE

Constructor of the class which basically calls the father's one

main(String[]) - Static method in class es.upm.etsisi.cf4j.examples.GettingStartedExample

main(String[]) - Static method in class es.upm.etsisi.cf4j.examples.gridSearch.BiasedMFGridSearch

main(String[]) - Static method in class es.upm.etsisi.cf4j.examples.gridSearch.UserKNNGridSearch

main(String[]) - Static method in class es.upm.etsisi.cf4j.examples.plot.ColumnPlotExample

main(String[]) - Static method in class es.upm.etsisi.cf4j.examples.plot.HistogramPlotExample

main(String[]) - Static method in class es.upm.etsisi.cf4j.examples.plot.LinePlotExample

main(String[]) - Static method in class es.upm.etsisi.cf4j.examples.plot.ScatterPlotExample

main(String[]) - Static method in class es.upm.etsisi.cf4j.examples.plot.XYPlotExample

main(String[]) - Static method in class es.upm.etsisi.cf4j.examples.recommender.ItemKnnComparison

main(String[]) - Static method in class es.upm.etsisi.cf4j.examples.recommender.MatrixFactorizationComparison

main(String[]) - Static method in class es.upm.etsisi.cf4j.examples.recommender.UserKnnComparison

Maths - Class in es.upm.etsisi.cf4j.util

This class contains useful math methods.

Maths() - Constructor for class es.upm.etsisi.cf4j.util.Maths

MatrixFactorizationComparison - Class in es.upm.etsisi.cf4j.examples.recommender

In this example we compare the RMSE score for different matrix factorization models varying the number of latent factors.

MatrixFactorizationComparison() - Constructor for class es.upm.etsisi.cf4j.examples.recommender.MatrixFactorizationComparison

max - Variable in class es.upm.etsisi.cf4j.data.Item

Maximum (training) rating value

max - Variable in class es.upm.etsisi.cf4j.data.User

Maximum (training) rating value

Max - Class in es.upm.etsisi.cf4j.qualityMeasure.prediction

This class calculates the averaged maximum prediction absolute error in a the prediction of a test rating for each test user.

Max(Recommender) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.prediction.Max

Constructor of the class which basically calls the father's one.

maxTest - Variable in class es.upm.etsisi.cf4j.data.TestItem

Maximum test rating value

maxTest - Variable in class es.upm.etsisi.cf4j.data.TestUser

Maximum test rating value

metric - Variable in class es.upm.etsisi.cf4j.recommender.knn.ItemKNN

Similarity metric to compute the similarity between two items

metric - Variable in class es.upm.etsisi.cf4j.recommender.knn.UserKNN

Similarity metric to compute the similarity between two users

min - Variable in class es.upm.etsisi.cf4j.data.Item

Minimum (training) rating value

min - Variable in class es.upm.etsisi.cf4j.data.User

Minimum (training) rating value

minTest - Variable in class es.upm.etsisi.cf4j.data.TestItem

Minimum test rating value

minTest - Variable in class es.upm.etsisi.cf4j.data.TestUser

Minimum test rating value

MovieLens100K() - Static method in class es.upm.etsisi.cf4j.data.BenchmarkDataModels

Loads a DataModel instance of MovieLens 100K dataset.

MovieLens10M() - Static method in class es.upm.etsisi.cf4j.data.BenchmarkDataModels

Loads a DataModel instance of MovieLens 1M dataset.

MovieLens1M() - Static method in class es.upm.etsisi.cf4j.data.BenchmarkDataModels

Loads a DataModel instance of MovieLens 1M dataset.

MSD - Class in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

Implements traditional MSD as CF similarity metric for items.

MSD() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.MSD

MSD - Class in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

Implements traditional MSD as CF similarity metric.

MSD() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.MSD

MSE - Class in es.upm.etsisi.cf4j.qualityMeasure.prediction

This class calculates the Mean Squared Error (MSE) between the predictions and the test ratings.

MSE(Recommender) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.prediction.MSE

Constructor of the class which basically calls the father's one

MSLE - Class in es.upm.etsisi.cf4j.qualityMeasure.prediction

This class calculates the Mean Squared Logarithmic Error (MSLE) between the predictions and the test ratings.

MSLE(Recommender) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.prediction.MSLE

Constructor of the class which basically calls the father's one

MyAnimeList() - Static method in class es.upm.etsisi.cf4j.data.BenchmarkDataModels

Loads a DataModel instance of MyAnimeList dataset.

N

NDCG - Class in es.upm.etsisi.cf4j.qualityMeasure.recommendation

This class calculates the Normalized Discounted Cumulative Gain (nDCG) of the recommendations performed by a Recommender.

NDCG(Recommender, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.NDCG

Constructor from a Map object with the quality measure parameters.

NDCG(Recommender, int) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.NDCG

Constructor

neighbors - Variable in class es.upm.etsisi.cf4j.recommender.knn.ItemKNN

Contains the neighbors indexes of each item

neighbors - Variable in class es.upm.etsisi.cf4j.recommender.knn.UserKNN

Contains the neighbors indexes of each user

NMF - Class in es.upm.etsisi.cf4j.recommender.matrixFactorization

Implements Lee, D.

NMF(DataModel, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.NMF

Model constructor from a Map containing the model's hyper-parameters values.

NMF(DataModel, int, int) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.NMF

Model constructor

NMF(DataModel, int, int, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.NMF

Model constructor

Novelty - Class in es.upm.etsisi.cf4j.qualityMeasure.recommendation

This class the averaged novelty of the recomendations.

Novelty(Recommender, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Novelty

Constructor from a Map object with the quality measure parameters.

Novelty(Recommender, int) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Novelty

Constructor of Novelty

numberOfNeighbors - Variable in class es.upm.etsisi.cf4j.recommender.knn.ItemKNN

Number of neighbors (k)

numberOfNeighbors - Variable in class es.upm.etsisi.cf4j.recommender.knn.UserKNN

Number of neighbors (k)

numFactors - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Number of latent factors

numFactors - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Number of factors

numFactors - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Number of latent factors

numFactors - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

Number of latent factors

numFactors - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.NMF

Number of factors

numFactors - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Number of latent factors

numFactors - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Number of latent factors

numFactors - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Number of latent factors

numIters - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Number of iterations

numIters - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Number of iterations

numIters - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Number of iterations

numIters - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

Number of iterations

numIters - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.NMF

Number of iterations

numIters - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Number of iterations

numIters - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Number of iterations

numIters - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Number of iterations

O

ofDoubles(double, double, int) - Static method in class es.upm.etsisi.cf4j.util.Range

Creates a range of double values

ofIntegers(int, int, int) - Static method in class es.upm.etsisi.cf4j.util.Range

Creates a range of int values

P

p - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

User factors

p - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

User factors

p - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

p parameter

Parallelizer - Class in es.upm.etsisi.cf4j.util.process

This class is used to simplify the parallelization of collaborative filtering algorithms

Parallelizer() - Constructor for class es.upm.etsisi.cf4j.util.process.Parallelizer

Parameters - Class in es.upm.etsisi.cf4j.util

This class allows us to load the parameters of an experiment from a file.

Parameters(String) - Constructor for class es.upm.etsisi.cf4j.util.Parameters

Creates a new Parameters instance from a file.

ParamsGrid - Class in es.upm.etsisi.cf4j.util.optimization

This class generates the development set for a grid search.

ParamsGrid() - Constructor for class es.upm.etsisi.cf4j.util.optimization.ParamsGrid

Creates a new ParamsGrid

Partible<T> - Interface in es.upm.etsisi.cf4j.util.process

This interface handles the parallel execution of an array of T thorough Parallelizer class.

Perfect - Class in es.upm.etsisi.cf4j.qualityMeasure.prediction

This class calculates the percentage of perfect predictions.

Perfect(Recommender, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.prediction.Perfect

Constructor from a Map object with the quality measure parameters.

Perfect(Recommender, double) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.prediction.Perfect

Constructor of the class which basically calls the father's one

phi - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Phi parameter

PIP - Class in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

This class implements the PIP CF similarity metric for the items.

PIP() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.PIP

PIP - Class in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

Implements the following CF similarity metric: Ahn, H.

PIP() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.PIP

Plot - Class in es.upm.etsisi.cf4j.util.plot

Abstract class that represents a CF4J plot.

Plot() - Constructor for class es.upm.etsisi.cf4j.util.plot.Plot

PlotSettings - Class in es.upm.etsisi.cf4j.util.plot

This class contains global plot settings.

PlotSettings() - Constructor for class es.upm.etsisi.cf4j.util.plot.PlotSettings

PMF - Class in es.upm.etsisi.cf4j.recommender.matrixFactorization

Implements Mnih, A., & Salakhutdinov, R.

PMF(DataModel, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Model constructor from a Map containing the model's hyper-parameters values.

PMF(DataModel, int, int) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Model constructor

PMF(DataModel, int, int, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Model constructor

PMF(DataModel, int, int, double) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Model constructor

PMF(DataModel, int, int, double, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Model constructor

PMF(DataModel, int, int, double, double, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Model constructor

Precision - Class in es.upm.etsisi.cf4j.qualityMeasure.recommendation

This class calculates the precision of the recommendations performed by a Recommender.

Precision(Recommender, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Precision

Constructor from a Map object with the quality measure parameters.

Precision(Recommender, int, double) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Precision

Constructor of Precision

predict(int, int) - Method in class es.upm.etsisi.cf4j.recommender.knn.ItemKNN

predict(int, int) - Method in class es.upm.etsisi.cf4j.recommender.knn.UserKNN

predict(int, int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

predict(int, int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

predict(int, int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

predict(int, int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

predict(int, int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.NMF

predict(int, int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

predict(int, int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

predict(int, int) - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

predict(int, int) - Method in class es.upm.etsisi.cf4j.recommender.Recommender

Computes a rating prediction

predict(TestUser) - Method in class es.upm.etsisi.cf4j.recommender.Recommender

Computes the rating predictions of the TestItems rated by a TestUser

printData() - Method in class es.upm.etsisi.cf4j.util.plot.HistogramPlot

printData(String) - Method in class es.upm.etsisi.cf4j.util.plot.HistogramPlot

printData() - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Prints the plot data into the standard output

printData(String) - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Prints the plot data into the standard output

printData(String, String) - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Prints the plot data into the standard output

printResults() - Method in class es.upm.etsisi.cf4j.util.optimization.GridSearch

Prints the results of the grid search.

printResults(int) - Method in class es.upm.etsisi.cf4j.util.optimization.GridSearch

Prints the results of the grid search

printResults(String) - Method in class es.upm.etsisi.cf4j.util.optimization.GridSearch

Prints the results of the grid search.

printResults(boolean) - Method in class es.upm.etsisi.cf4j.util.optimization.GridSearch

Prints the results of the grid search

printResults(String, int) - Method in class es.upm.etsisi.cf4j.util.optimization.GridSearch

Prints the results of the grid search

printResults(int, boolean) - Method in class es.upm.etsisi.cf4j.util.optimization.GridSearch

Prints the results of the grid search

printResults(String, boolean) - Method in class es.upm.etsisi.cf4j.util.optimization.GridSearch

Prints the results of the grid search

printResults(String, int, boolean) - Method in class es.upm.etsisi.cf4j.util.optimization.GridSearch

Prints the results of the grid search

Q

q - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

Item factors

q - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

Item factors

q - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

q parameter

QualityMeasure - Class in es.upm.etsisi.cf4j.qualityMeasure

Abstract class used to simplify the evaluation of collaborative filtering based recommendation models.

QualityMeasure(Recommender) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.QualityMeasure

Creates a new quality measure

R

r - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

Hyper-parameter of the binomial distribution.

R2 - Class in es.upm.etsisi.cf4j.qualityMeasure.prediction

This class calculates the the coefficient of determination, usually denoted as R2, of the predictions performed by a recommender.

R2(Recommender) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.prediction.R2

Constructor of the class which basically calls the father's one

RandomSplitDataSet - Class in es.upm.etsisi.cf4j.data

This class implements the DataSet interface by random splitting the collaborative filtering ratings allocated in a text file.

RandomSplitDataSet(String) - Constructor for class es.upm.etsisi.cf4j.data.RandomSplitDataSet

Generates a DataSet form a text file.

RandomSplitDataSet(String, double, double) - Constructor for class es.upm.etsisi.cf4j.data.RandomSplitDataSet

Generates a DataSet form a text file.

RandomSplitDataSet(String, double, double, long) - Constructor for class es.upm.etsisi.cf4j.data.RandomSplitDataSet

Generates a DataSet form a text file.

RandomSplitDataSet(String, double, double, String) - Constructor for class es.upm.etsisi.cf4j.data.RandomSplitDataSet

Generates a DataSet form a text file.

RandomSplitDataSet(String, String) - Constructor for class es.upm.etsisi.cf4j.data.RandomSplitDataSet

Generates a DataSet form a text file.

RandomSplitDataSet(String, double, double, String, long) - Constructor for class es.upm.etsisi.cf4j.data.RandomSplitDataSet

Generates a DataSet form a text file.

Range - Class in es.upm.etsisi.cf4j.util

This class contains methods to generate array of values based on a range

Range() - Constructor for class es.upm.etsisi.cf4j.util.Range

rating - Variable in class es.upm.etsisi.cf4j.data.types.DataSetEntry

Rating value

Rating - Class in es.upm.etsisi.cf4j.data.types

The class Rating is an structure of a pair of elements, which are the index and the rating.

Rating(int, double) - Constructor for class es.upm.etsisi.cf4j.data.types.Rating

Creates a new instance

ratings - Variable in class es.upm.etsisi.cf4j.data.RandomSplitDataSet

Raw stored ratings

ratings - Variable in class es.upm.etsisi.cf4j.data.TrainTestFilesDataSet

Raw stored ratings

ratings - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Plausible ratings (must be sorted in ascending order)

Recall - Class in es.upm.etsisi.cf4j.qualityMeasure.recommendation

This class calculates the recall of the recommendations performed by a Recommender.

Recall(Recommender, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Recall

Constructor from a Map object with the quality measure parameters.

Recall(Recommender, int, double) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.recommendation.Recall

Constructor

recommender - Variable in class es.upm.etsisi.cf4j.qualityMeasure.QualityMeasure

Recommender instance for which the quality measure are going to be computed

Recommender - Class in es.upm.etsisi.cf4j.recommender

Abstract class that represents any recommender.

Recommender(DataModel) - Constructor for class es.upm.etsisi.cf4j.recommender.Recommender

Recommender constructor

RMSE - Class in es.upm.etsisi.cf4j.qualityMeasure.prediction

This class calculates the Root Mean Squared Error (RMSE) between the predictions and the test ratings.

RMSE(Recommender) - Constructor for class es.upm.etsisi.cf4j.qualityMeasure.prediction.RMSE

Constructor of the class which basically calls the father's one

run(Item) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.ItemSimilarityMetric

run(User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.UserSimilarityMetric

run(T) - Method in interface es.upm.etsisi.cf4j.util.process.Partible

Is executed once for each object in the array of objects passed as parameter in the exec method of the Parallelizer class.

S

save(String) - Method in class es.upm.etsisi.cf4j.data.DataModel

Saves the content of the DataModel in a serialized file.

ScatterPlot - Class in es.upm.etsisi.cf4j.util.plot

Implements an ScatterPlot.

ScatterPlot(String, String) - Constructor for class es.upm.etsisi.cf4j.util.plot.ScatterPlot

Creates new ScatterPlot

ScatterPlotExample - Class in es.upm.etsisi.cf4j.examples.plot

In this example we build an ScatterPlot comparing the number of ratings of each test user with his/her averaged prediction error using BiasedMF as recommender.

ScatterPlotExample() - Constructor for class es.upm.etsisi.cf4j.examples.plot.ScatterPlotExample

Search - Class in es.upm.etsisi.cf4j.util

This class contains useful search methods.

Search() - Constructor for class es.upm.etsisi.cf4j.util.Search

setBackgroundColor(Color) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the plot's background color

setBoolean(String, boolean) - Method in class es.upm.etsisi.cf4j.data.DataBank

Sets or stores a boolean inside the DataBank.

setBooleanArray(String, boolean[]) - Method in class es.upm.etsisi.cf4j.data.DataBank

Sets or stores a boolean array inside the DataBank.

setClearInset(double) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the inset for a clear border

setColorPalette(Color[]) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the color paletee

setDatamodel(DataModel) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.ItemSimilarityMetric

Sets the DataModel for which the similarity are going to be computed

setDatamodel(DataModel) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.UserSimilarityMetric

Sets the DataModel for which the similarity are going to be computed

setDouble(String, double) - Method in class es.upm.etsisi.cf4j.data.DataBank

Sets or stores a double inside the DataBank.

setDoubleArray(String, double[]) - Method in class es.upm.etsisi.cf4j.data.DataBank

Sets or stores a double array inside the DataBank.

setHeight(int) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the plot height in pixels

setInt(String, int) - Method in class es.upm.etsisi.cf4j.data.DataBank

Sets or stores an int inside the DataBank.

setIntArray(String, int[]) - Method in class es.upm.etsisi.cf4j.data.DataBank

Sets or stores an int array inside the DataBank.

setLabelsNotVisible(String) - Method in class es.upm.etsisi.cf4j.util.plot.XYPlot

Set the labels not visible for a series

setLabelsVisible(String) - Method in class es.upm.etsisi.cf4j.util.plot.XYPlot

Set the labels visible for a series

setLegendDistance(double) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the legend distance

setLegendInset(double) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the inset for the legend

setPrimaryFont(Font) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the primary font

setRating(double) - Method in class es.upm.etsisi.cf4j.data.types.Rating

Modifies the previously defined rating.

setSecondaryFont(Font) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the secondary font

setString(String, String) - Method in class es.upm.etsisi.cf4j.data.DataBank

Sets or stores an String inside the DataBank.

setStringArray(String, String[]) - Method in class es.upm.etsisi.cf4j.data.DataBank

Sets or stores a double array inside the DataBank.

setValue(String, int, double) - Method in class es.upm.etsisi.cf4j.util.plot.LinePlot

Sets a single value of a series

setValue(String, double, double) - Method in class es.upm.etsisi.cf4j.util.plot.LinePlot

Sets a single value of a series

setWidth(int) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the plot width in pixels

setxAxisInset(double) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the inset for the x axis

setxAxisLabelDistance(double) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the label distance in the x axis

setXY(String, String, double, double) - Method in class es.upm.etsisi.cf4j.util.plot.XYPlot

Sets a single point of a series

setyAxisInset(double) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the inset for the y axis

setyAxisLabelDistance(double) - Static method in class es.upm.etsisi.cf4j.util.plot.PlotSettings

Sets the label distance in the y axis

similarities - Variable in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.ItemSimilarityMetric

Matrix that contains the similarity between each pair of items

similarities - Variable in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.UserSimilarityMetric

Matrix that contains the similarity between each pair of users

similarity(Item, Item) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.AdjustedCosine

similarity(Item, Item) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.Correlation

similarity(Item, Item) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.CorrelationConstrained

similarity(Item, Item) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.Cosine

similarity(Item, Item) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.ItemSimilarityMetric

This method must returns the similarity between two items.

similarity(Item, Item) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.Jaccard

similarity(Item, Item) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.JMSD

similarity(Item, Item) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.MSD

similarity(Item, Item) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.PIP

similarity(Item, Item) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.Singularities

similarity(Item, Item) - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.SpearmanRank

similarity(User, User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.AdjustedCosine

similarity(User, User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.CJMSD

similarity(User, User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.Correlation

similarity(User, User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.CorrelationConstrained

similarity(User, User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.Cosine

similarity(User, User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.Jaccard

similarity(User, User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.JMSD

similarity(User, User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.MSD

similarity(User, User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.PIP

similarity(User, User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.Singularities

similarity(User, User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.SpearmanRank

similarity(User, User) - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.UserSimilarityMetric

This method must returns the similarity between two users.

Singularities - Class in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

This class implements the singularities CF similarity metric.

Singularities(double[], double[]) - Constructor for class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.Singularities

Constructor of the similarity metric

Singularities - Class in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

Implements the following CF similarity metric: Bobadilla, J., Ortega, F., & Hernando, A

Singularities(double[], double[]) - Constructor for class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.Singularities

Constructor of the similarity metric

SortedRatingList - Class in es.upm.etsisi.cf4j.data.types

SortedRatingList is a specific type of sorted ArrayList that uses the Rating class internally.

SortedRatingList() - Constructor for class es.upm.etsisi.cf4j.data.types.SortedRatingList

SpearmanRank - Class in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

Implements traditional Spearman Rank as CF similarity metric for the items.

SpearmanRank() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.SpearmanRank

SpearmanRank - Class in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

Implements traditional Spearman Rank as CF similarity metric.

SpearmanRank() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.SpearmanRank

SVDPlusPlus - Class in es.upm.etsisi.cf4j.recommender.matrixFactorization

Implements Koren, Y. (2008, August).

SVDPlusPlus(DataModel, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Model constructor from a Map containing the model's hyper-parameters values.

SVDPlusPlus(DataModel, int, int) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Model constructor

SVDPlusPlus(DataModel, int, int, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Model constructor

SVDPlusPlus(DataModel, int, int, double, double) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Model constructor

SVDPlusPlus(DataModel, int, int, double, double, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

Model constructor

T

tauRte - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

tauShp - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

TestItem - Class in es.upm.etsisi.cf4j.data

A TestItem extends an Item given it the following properties: Index in the DataModel array which stores test items.

TestItem(String, int, int) - Constructor for class es.upm.etsisi.cf4j.data.TestItem

Creates a new instance of a test item.

testItemIndex - Variable in class es.upm.etsisi.cf4j.data.TestItem

Index in the DataModel array which stores test items

testItemsRatings - Variable in class es.upm.etsisi.cf4j.data.TestUser

TestItems rated by the user

testRatings - Variable in class es.upm.etsisi.cf4j.data.RandomSplitDataSet

Raw stored test ratings

testRatings - Variable in class es.upm.etsisi.cf4j.data.TrainTestFilesDataSet

Raw stored test ratings

TestUser - Class in es.upm.etsisi.cf4j.data

A TestUser extends an User given him or her the following properties: Index in the DataModel array which stores test users.

TestUser(String, int, int) - Constructor for class es.upm.etsisi.cf4j.data.TestUser

Creates a new instance of a test user.

testUserIndex - Variable in class es.upm.etsisi.cf4j.data.TestUser

Index in the DataModel array which stores test users

testUsersRatings - Variable in class es.upm.etsisi.cf4j.data.TestItem

Array of test users that have rated this test item

threshold - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Threshold to binarize rating matrix.

toString() - Method in class es.upm.etsisi.cf4j.data.DataModel

toString() - Method in class es.upm.etsisi.cf4j.data.types.DataSetEntry

toString() - Method in class es.upm.etsisi.cf4j.data.types.Rating

toString() - Method in class es.upm.etsisi.cf4j.recommender.knn.ItemKNN

toString() - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.CorrelationConstrained

toString() - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.ItemSimilarityMetric

toString() - Method in class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.Singularities

toString() - Method in class es.upm.etsisi.cf4j.recommender.knn.UserKNN

toString() - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.CorrelationConstrained

toString() - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.Singularities

toString() - Method in class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.UserSimilarityMetric

toString() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BiasedMF

toString() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.BNMF

toString() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

toString() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.HPF

toString() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.NMF

toString() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.PMF

toString() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

toString() - Method in class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

toString() - Method in class es.upm.etsisi.cf4j.util.plot.HistogramPlot

toString(String) - Method in class es.upm.etsisi.cf4j.util.plot.HistogramPlot

toString() - Method in class es.upm.etsisi.cf4j.util.plot.Plot

toString(String) - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Stringify the plot data

toString(String, String) - Method in class es.upm.etsisi.cf4j.util.plot.Plot

Stringify the plot data

TrainTestFilesDataSet - Class in es.upm.etsisi.cf4j.data

This class implements the DataSet interface by loading training and test ratings from separated text files.

TrainTestFilesDataSet(String, String) - Constructor for class es.upm.etsisi.cf4j.data.TrainTestFilesDataSet

Generates a DataSet form training and test ratings files.

TrainTestFilesDataSet(String, String, String) - Constructor for class es.upm.etsisi.cf4j.data.TrainTestFilesDataSet

Generates a DataSet form training and test ratings files.

U

U - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Users' latent factors

URP - Class in es.upm.etsisi.cf4j.recommender.matrixFactorization

Implements Marlin, B.

URP(DataModel, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Model constructor from a Map containing the model's hyper-parameters values.

URP(DataModel, int, double[], int) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Model constructor

URP(DataModel, int, double[], int, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Model constructor

URP(DataModel, int, double[], int, double) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Model constructor

URP(DataModel, int, double[], int, double, long) - Constructor for class es.upm.etsisi.cf4j.recommender.matrixFactorization.URP

Model constructor

User - Class in es.upm.etsisi.cf4j.data

Defines a composition of an User.

User(String, int) - Constructor for class es.upm.etsisi.cf4j.data.User

Creates a new instance of an user.

userId - Variable in class es.upm.etsisi.cf4j.data.types.DataSetEntry

Identifier of the user who rated this item

userIndex - Variable in class es.upm.etsisi.cf4j.data.User

User index in the DataModel

UserKNN - Class in es.upm.etsisi.cf4j.recommender.knn

Implements user-to-user KNN based collaborative filtering

UserKNN(DataModel, Map<String, Object>) - Constructor for class es.upm.etsisi.cf4j.recommender.knn.UserKNN

Recommender constructor from a Map containing the recommender's hyper-parameters values.

UserKNN(DataModel, int, UserSimilarityMetric, UserKNN.AggregationApproach) - Constructor for class es.upm.etsisi.cf4j.recommender.knn.UserKNN

Recommender constructor

UserKNN.AggregationApproach - Enum in es.upm.etsisi.cf4j.recommender.knn

Available aggregation approaches to merge k-nearest neighbors ratings

UserKnnComparison - Class in es.upm.etsisi.cf4j.examples.recommender

In this example we compare the MAE, Coverage, Precision and Recall quality measures scores for different similarity metrics applied to user-to-user knn based collaborative filtering.

UserKnnComparison() - Constructor for class es.upm.etsisi.cf4j.examples.recommender.UserKnnComparison

UserKNNGridSearch - Class in es.upm.etsisi.cf4j.examples.gridSearch

In this example we tune the parameters of UserKNN recommender using the GridSearch tool.

UserKNNGridSearch() - Constructor for class es.upm.etsisi.cf4j.examples.gridSearch.UserKNNGridSearch

UserSimilarityMetric - Class in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

This class process the similarity measure between two users.

UserSimilarityMetric() - Constructor for class es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.UserSimilarityMetric

usersRatings - Variable in class es.upm.etsisi.cf4j.data.Item

Users that have rated the item

V

V - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.CLiMF

Items's latent factors

valueOf(String) - Static method in enum es.upm.etsisi.cf4j.recommender.knn.ItemKNN.AggregationApproach

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum es.upm.etsisi.cf4j.recommender.knn.UserKNN.AggregationApproach

Returns the enum constant of this type with the specified name.

values() - Static method in enum es.upm.etsisi.cf4j.recommender.knn.ItemKNN.AggregationApproach

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum es.upm.etsisi.cf4j.recommender.knn.UserKNN.AggregationApproach

Returns an array containing the constants of this enum type, in the order they are declared.

W

w - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.NMF

User factors

X

XYPlot - Class in es.upm.etsisi.cf4j.util.plot

Implements an XYPlot.

XYPlot(String[], String, String) - Constructor for class es.upm.etsisi.cf4j.util.plot.XYPlot

Creates a new XYPlot

XYPlot(String[], String, String, boolean) - Constructor for class es.upm.etsisi.cf4j.util.plot.XYPlot

Creates a new XYPlot

XYPlotExample - Class in es.upm.etsisi.cf4j.examples.plot

In this example we compare the Precision score (y axis) and the Recall score (x axis) for PMF and NMF recommenders using an XYPlot.

XYPlotExample() - Constructor for class es.upm.etsisi.cf4j.examples.plot.XYPlotExample

Y

y - Variable in class es.upm.etsisi.cf4j.recommender.matrixFactorization.SVDPlusPlus

y parameter

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