L-Index

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L

LABELPROP - Static variable in class es.uam.eps.ir.relison.grid.community.CommunityDetectionIdentifiers: Identifier of the Label Propagation community detection approach.
LabelPropagation - Class in es.uam.eps.ir.relison.sna.community.detection.modularity: Implementation of the label propagation algorithm.
LabelPropagation() - Constructor for class es.uam.eps.ir.relison.sna.community.detection.modularity.LabelPropagation: Constructor.
LabelPropagation(int) - Constructor for class es.uam.eps.ir.relison.sna.community.detection.modularity.LabelPropagation: Constructor.
LabelPropagationConfigurator - Class in es.uam.eps.ir.relison.grid.community.modularity: Configures the label propagation community detection algorithm.
LabelPropagationConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.community.modularity.LabelPropagationConfigurator
lambda - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.QLJMSimilarity: Parameter which controls the trade-off between the regularization term and the original term in the formula.
lambda - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.QLJM: Parameter which controls the trade-off between the regularization term and the original term in the formula.
lambda - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PurePersonalizedPageRank: The teleport rate
lambda - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingLambdaReranker: Trade-off between the original and the novelty scores.
lambda - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalLambdaReranker: Trade-off between the original and novelty scores
lambda - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapLambdaReranker: Trade-off between original and novelty scores.
lambda - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker: Trade-off parameter of the linear combination.
lambda - Variable in class es.uam.eps.ir.relison.sna.community.detection.modularity.balanced.AlternativeGiniFastGreedy: Balance between modularity and the Gini of the size of communities
lambda - Variable in class es.uam.eps.ir.relison.sna.community.detection.modularity.balanced.GiniWeightedFastGreedy: The weight for the Gini term
LAMBDA - Static variable in class es.uam.eps.ir.relison.grid.community.modularity.balanced.GiniWeightedFastGreedyConfigurator: Identifier for the regularization parameter.
LAMBDA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.ir.QLJMGridSearch: Identifier for the trade-off between the regularization term and the original term in the Query Likelihood Jelinek-Mercer formula.
LAMBDA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.mf.FastImplicitMFGridSearch: Identifier for the parameter that regulates the importance of the error and the norm of the latent vectors.
LAMBDA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.mf.ImplicitMFGridSearch: Identifier fort the parameter that regulates the importance of the error and the norm of the latent vectors.
LAMBDA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.local.communities.StrongTiesRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.local.communities.WeakTiesRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.local.RandomRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge.AverageEmbeddednessRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge.AverageWeaknessRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge.HeuristicAverageEmbeddednessRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge.HeuristicAverageWeaknessRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.ClusteringCoefficientComplementRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.ClusteringCoefficientRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.degree.CompleteCommunityDegreeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.degree.CompleteCommunityOuterDegreeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.degree.InterCommunityDegreeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.degree.InterCommunityOuterDegreeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.degree.sizenorm.SizeNormCompleteCommunityDegreeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.degree.sizenorm.SizeNormCompleteCommunityOuterDegreeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.degree.sizenorm.SizeNormInterCommunityDegreeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.degree.sizenorm.SizeNormInterCommunityOuterDegreeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.AlternativeSemiCompleteCommunityEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.AlternativeSemiCompleteCommunityOuterEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.CompleteCommunityEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.CompleteCommunityOuterEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.InterCommunityEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.InterCommunityOuterEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.SemiCompleteCommunityEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.SemiCompleteCommunityOuterEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.sizenorm.SizeNormCompleteCommunityEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.sizenorm.SizeNormCompleteCommunityOuterEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.sizenorm.SizeNormInterCommunityEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.sizenorm.SizeNormInterCommunityOuterEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.sizenorm.SizeNormSemiCompleteCommunityEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.sizenorm.SizeNormSemiCompleteCommunityOuterEdgeGiniRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.DegreeGiniComplementRerankerGridSearch: Identifier for the parameter that takes the trade-off between relevance and diversity.
LAMBDAMART - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the LambdaMART algorithm
LambdaMARTGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.supervised: Grid search generator for LambdaMART algorithm.
LambdaMARTGridSearch(Parser) - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.supervised.LambdaMARTGridSearch: Constructor.
LambdaMARTJForestsRecommender - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.supervised: Class for applying the LambdaMART algorithm.
LambdaMARTJForestsRecommender(FastGraph, String, String, String, String, String, Parser) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.supervised.LambdaMARTJForestsRecommender: Constructor.
LambdaMARTRecommender - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.supervised: Class that transforms the output of the JForest package to a recommendation Note: it has to be executed outside.
LambdaMARTRecommender(FastGraph, String, String, Parser) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.supervised.LambdaMARTRecommender: Constructor.
lambdaP - Variable in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.als.HKVUpdateableFactorizer: Regularization factor for the user vectors.
lambdaQ - Variable in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.als.HKVUpdateableFactorizer: Regularization factor for the item vectors.
LambdaReranker<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.reranking.local: Linear combination re-ranker that combines the original score of the input recommendation and a novelty component.
LambdaReranker(double, int, Supplier<Normalizer>) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker: Constructor.
LambdaReranker.LambdaUserReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.local: User re-ranker for LambdaReranker.
lambdaU - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerBasic: Regularization parameter for user matrix
lambdaU - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerSigmoid: Regularization parameter for user matrix
LambdaUserReranker(Recommendation<U, I>, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker.LambdaUserReranker: Constructor.
lambdaV - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerBasic: Regularization parameter for item matrix
lambdaV - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerSigmoid: Regularization parameter for item matrix
laplacian(DoubleMatrix2D, DoubleMatrix2D) - Method in class es.uam.eps.ir.relison.sna.community.detection.modularity.balanced.NormalizedCutSpectralClustering
laplacian(DoubleMatrix2D, DoubleMatrix2D) - Method in class es.uam.eps.ir.relison.sna.community.detection.modularity.balanced.RatioCutSpectralClustering
laplacian(DoubleMatrix2D, DoubleMatrix2D) - Method in class es.uam.eps.ir.relison.sna.community.detection.modularity.balanced.SpectralClustering: Computes the Laplacian matrix of a graph, given the degree and adjacency matrices.
lastGraph - Variable in class es.uam.eps.ir.relison.sna.metrics.complementary.vertex.ComplementaryLocalClusteringCoefficient: The last graph.
lastIterations - Variable in class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyPropagationMechanism: The list of users in the last iterations.
lastIterations - Variable in class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyPureRecommenderPropagationMechanism: The list of users in the last iterations
lastIterations - Variable in class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyRecommenderPropagationMechanism: The list of users in the last iterations.
lastIterations - Variable in class es.uam.eps.ir.relison.diffusion.propagation.PullStrategyPropagationMechanism: The list of users in the last iterations
lastIterations - Variable in class es.uam.eps.ir.relison.diffusion.propagation.PushStrategyPropagationMechanism: The list of users in the last iterations.
LeadingVector - Class in es.uam.eps.ir.relison.sna.community.detection.modularity: Class for computing the community partition using the Leading Vector algorithm.
LeadingVector() - Constructor for class es.uam.eps.ir.relison.sna.community.detection.modularity.LeadingVector
learningRate - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerBasic: Learning rate
learningRate - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerSigmoid: Learning rate
length - Variable in class es.uam.eps.ir.relison.content.index.structure.lucene.LucenePostingsList: The length of the posting list
length - Variable in class es.uam.eps.ir.relison.utils.datatypes.Vector: Length of the vector
LENGTH - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.VertexMetricIdentifiers: Identifier for the length of the node.
lengths - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.PivotedNormalizationVSM: User lengths.
LETORFormatConstants - Class in es.uam.eps.ir.relison.links.data.letor.io: Constant formats for learning to rank files.
LETORFormatConstants() - Constructor for class es.uam.eps.ir.relison.links.data.letor.io.LETORFormatConstants
LETORInstanceReader - Class in es.uam.eps.ir.relison.links.data.letor.io: Class for reading the different patterns for ML algorithms as contact recommendation / link prediction algorithms, using the LETOR format.
LETORInstanceReader(Parser) - Constructor for class es.uam.eps.ir.relison.links.data.letor.io.LETORInstanceReader: Constructor.
LETORInstanceReader(Parser, int, Generator) - Constructor for class es.uam.eps.ir.relison.links.data.letor.io.LETORInstanceReader: Constructor.
LETORInstanceWriter - Class in es.uam.eps.ir.relison.links.data.letor.io: Class for writing patterns in the LETOR format (for Learning TO Rank task).
LETORInstanceWriter() - Constructor for class es.uam.eps.ir.relison.links.data.letor.io.LETORInstanceWriter: Constructor.
LETORInstanceWriter(boolean) - Constructor for class es.uam.eps.ir.relison.links.data.letor.io.LETORInstanceWriter: Constructor.
levels() - Method in class es.uam.eps.ir.relison.graph.tree.UnweightedTreeTest: Test the functions for obtaining the different levels of a graph.
library - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.MatrixBasedRecommender: The matrix library to consider.
library - Variable in class es.uam.eps.ir.relison.sna.metrics.vertex.MatrixBasedVertexMetric: The matrix library to use.
limit - Variable in class es.uam.eps.ir.relison.diffusion.stop.NumIterStopCondition: Maximum number of iterations.
limit - Variable in class es.uam.eps.ir.relison.diffusion.stop.TotalPropagatedStopCondition: Maximum number of propagated pieces.
limitDistance(Graph, boolean, int) - Static method in class es.uam.eps.ir.relison.links.linkprediction.filter.LinkPredFastFilters: Filter that limits how far we can recommend users.
LIMITEDCOUNTTHRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionMechanismIdentifiers: Identifier for selecting to propagate pieces which have been received from more than a number of users.
LimitedCountThresholdSelectionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.selection: Configures a selection mechanism that propagates a fixed number of own information pieces, and repropagates a fixed number of pieces, chosen from those who have been received (at least) a number of times.
LimitedCountThresholdSelectionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.selection.LimitedCountThresholdSelectionConfigurator
LimitedCountThresholdSelectionMechanism - Class in es.uam.eps.ir.relison.diffusion.selections: Selection mechanism that only propagates those received pieces which have been received (at least) a fixed number of times.
LimitedCountThresholdSelectionMechanism(int, int, int, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.LimitedCountThresholdSelectionMechanism: Constructor.
LimitedCountThresholdSelectionMechanism(int, int, int, EdgeOrientation, int) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.LimitedCountThresholdSelectionMechanism
limitedDistance(FastGraph, boolean, int) - Static method in class es.uam.eps.ir.relison.links.recommendation.SocialFastFilters: Prevents recommenders from recommending links to nodes farther than a given distance from the target user.
LimitedProportionThresholdSelectionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.selection: Configures a selection mechanism that propagates a fixed number of own information pieces, and repropagates a fixed number of pieces, chosen from those who have been received (at least) from a fraction of his neighbors.
LimitedProportionThresholdSelectionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.selection.LimitedProportionThresholdSelectionConfigurator
LimitedProportionThresholdSelectionMechanism - Class in es.uam.eps.ir.relison.diffusion.selections: Selection mechanism that only propagates those received pieces which have been received (at least) a fixed number of times.
LimitedProportionThresholdSelectionMechanism(int, int, double, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.LimitedProportionThresholdSelectionMechanism: Constructor.
LimitedProportionThresholdSelectionMechanism(int, int, double, EdgeOrientation, int) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.LimitedProportionThresholdSelectionMechanism
LIMITEDPROPTHRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionMechanismIdentifiers: Identifier for selecting to propagate pieces which have been received from more than a proportion of users who send him content.
LINKPRED - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.sampling.IndividualSamplingAlgorithmIdentifiers: Identifier for the sampling algorithm that takes the top-k nodes at link prediction.
LinkPredFastFilters - Class in es.uam.eps.ir.relison.links.linkprediction.filter: Filters for link prediction algorithms.
LinkPredFastFilters() - Constructor for class es.uam.eps.ir.relison.links.linkprediction.filter.LinkPredFastFilters
linkprediction - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.PreferentialAttachment: Indicates if the mode is link prediction
LinkPrediction - Class in es.uam.eps.ir.relison.examples.links.prediction: Class for executing and evaluating link prediction approaches.
LinkPrediction() - Constructor for class es.uam.eps.ir.relison.examples.links.prediction.LinkPrediction
LinkPredictionFormat - Interface in es.uam.eps.ir.relison.links.linkprediction.io: Recommendation writers and readers with a common format.
LinkPredictionFormat.Reader - Interface in es.uam.eps.ir.relison.links.linkprediction.io: Recommendation reader.
LinkPredictionFormat.Writer - Interface in es.uam.eps.ir.relison.links.linkprediction.io: Link prediction writer.
LinkPredictionMetric - Interface in es.uam.eps.ir.relison.links.linkprediction.metrics: Interface for defining metrics for evaluating link prediction algorithms.
LinkPredictionMetricConfigurationsReader - Class in es.uam.eps.ir.relison.grid.links.prediction.metrics: Class for reading contact recommendation metrics.
LinkPredictionMetricConfigurationsReader() - Constructor for class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricConfigurationsReader: Constructor.
LinkPredictionMetricConfigurator<U,F> - Interface in es.uam.eps.ir.relison.grid.links.prediction.metrics: Class for configuring a given link prediction metric.
LinkPredictionMetricFunction<U,F> - Interface in es.uam.eps.ir.relison.grid.links.prediction.metrics: Functions for retrieving a configured link prediction metric.
LinkPredictionMetricGridReader - Class in es.uam.eps.ir.relison.grid.links.prediction.metrics: Class for reading contact recommendation metrics..
LinkPredictionMetricGridReader() - Constructor for class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricGridReader: Constructor
LinkPredictionMetricGridSelector<U,F> - Class in es.uam.eps.ir.relison.grid.links.prediction.metrics: Class that translates from a grid to different link prediction metrics.
LinkPredictionMetricGridSelector() - Constructor for class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricGridSelector: Constructor.
LinkPredictionMetricIdentifiers - Class in es.uam.eps.ir.relison.grid.links.prediction.metrics: Identifiers for the different contact recommendation metrics available in the library.
LinkPredictionMetricIdentifiers() - Constructor for class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricIdentifiers
LinkPredictionMetricParametersReader - Class in es.uam.eps.ir.relison.grid.links.prediction.metrics: Class for reading contact recommendation metrics.
LinkPredictionMetricParametersReader() - Constructor for class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricParametersReader: Constructor.
LinkPredictionSampler - Class in es.uam.eps.ir.relison.links.data.letor.sampling: Samples all the links created in a test graph, and the same amount of links which have not been created.
LinkPredictionSampler(Graph, Graph) - Constructor for class es.uam.eps.ir.relison.links.data.letor.sampling.LinkPredictionSampler: Constructor.
LinkPredictionSamplerConfigurator - Class in es.uam.eps.ir.relison.grid.links.recommendation.sampling: Class for configuring a sampling approach which takes all nodes.
LinkPredictionSamplerConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.sampling.LinkPredictionSamplerConfigurator
LinkPredictor - Interface in es.uam.eps.ir.relison.links.linkprediction: Definition of a method that predicts a collection of links which are likely to appear in a social network in the future.
list - Variable in class es.uam.eps.ir.relison.links.data.letor.NominalStats: Maps integers to doubles.
list - Variable in class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.ILD: A list of recommendations.
list - Variable in class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.ItemNoveltyMetric: The list of recommendations.
list - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.AlternativeSemiCompleteCommunityEdgeGiniComplement: Ranking order
list - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.OuterAlternativeSemiCompleteCommunityEdgeGiniComplement: Ranking order
load(ForwardIndex) - Static method in class es.uam.eps.ir.relison.links.recommendation.features.IndexFeatureData: Loads the feature data from a forward index.
load(FastGraph) - Static method in class es.uam.eps.ir.relison.links.data.GraphSimpleFastPreferenceData: Loads the preferences from a file.
load(FastGraph) - Static method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.GraphSimpleUpdateableFastPreferenceData: Loads the preferences from a file.
load(Graph) - Static method in class es.uam.eps.ir.relison.links.data.GraphSimplePreferenceData: Loads the preference data from a graph.
load(Communities) - Static method in class es.uam.eps.ir.relison.links.recommendation.features.CommunityFeatureData: Loads the feature data from a forward index.
load(String, Graph, Parser) - Static method in class es.uam.eps.ir.relison.links.recommendation.features.LuceneTfIdfFeaturesReader: Loads features from an index.
load(Stream<F>) - Static method in class es.uam.eps.ir.relison.links.data.updateable.index.fast.SimpleFastUpdateableFeatureIndex: Creates a feature index from a stream of feature objects.
load(Stream) - Static method in class es.uam.eps.ir.relison.links.data.updateable.index.fast.SimpleFastUpdateableItemIndex: Creates an item index from a stream of item objects.
load(Stream<Tuple3<U, I, Double>>, FastUpdateableUserIndex, FastUpdateableItemIndex) - Static method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.SimpleFastUpdateablePreferenceData: Loads a SimpleFastPreferenceData from a stream of user-item-value triples.
load(Stream<Tuple3<U, U, Double>>, boolean, boolean) - Static method in class es.uam.eps.ir.relison.links.data.GraphSimplePreferenceData: Loads a SimplePreferenceData from a stream of user-item-value triples.
load(Stream<Tuple3<U, U, Double>>, GraphIndex, boolean, boolean) - Static method in class es.uam.eps.ir.relison.links.data.GraphSimpleFastPreferenceData: Loads a SimpleFastPreferenceData from a stream of user-item-value triples.
load(Stream<Tuple3<U, U, Double>>, GraphIndex, boolean, boolean) - Static method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.GraphSimpleUpdateableFastPreferenceData: Loads a SimpleFastPreferenceData from a stream of user-item-value triples.
load(Stream<Tuple4<U, I, Double, O>>, Function4<Integer, Integer, Double, O, ? extends IdxPref>, Function4<Integer, Integer, Double, O, ? extends IdxPref>, FastUpdateableUserIndex, FastUpdateableItemIndex, Function<IdxPref, IdPref>, Function<IdxPref, IdPref>) - Static method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.SimpleFastUpdateablePreferenceData: Loads a SimpleFastPreferenceData from a stream of user-item-value-other tuples.
load(Stream<Tuple4<U, U, Double, O>>, Function4<Integer, Integer, Double, O, ? extends IdxPref>, GraphIndex, Function<IdxPref, IdPref>, boolean, boolean) - Static method in class es.uam.eps.ir.relison.links.data.GraphSimpleFastPreferenceData: Loads a SimpleFastPreferenceData from a stream of user-item-value-other tuples.
load(Stream<Tuple4<U, U, Double, O>>, Function4<Integer, Integer, Double, O, ? extends IdxPref>, GraphIndex, Function<IdxPref, IdPref>, boolean, boolean) - Static method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.GraphSimpleUpdateableFastPreferenceData: Loads a SimpleFastPreferenceData from a stream of user-item-value-other tuples.
load(Stream<Tuple4<U, U, Double, O>>, Function4<U, U, Double, O, ? extends IdPref>, boolean, boolean) - Static method in class es.uam.eps.ir.relison.links.data.GraphSimplePreferenceData: Loads an instance of the class from a stream of tuples possibly containing extra information.
load(Stream) - Static method in class es.uam.eps.ir.relison.links.data.updateable.index.fast.SimpleFastUpdateableUserIndex: Creates a user index from a stream of user objects.
loadContents(String, Parser<C>) - Method in class es.uam.eps.ir.relison.content.index.AbstractIndex: Loads the users.
loadUserContentMap(String, Parser) - Method in class es.uam.eps.ir.relison.content.index.individual.AbstractIndividualContentIndex: Loads a file containing the relation between indexes and user identifiers.
LOCALAVGCOMMMETRIC - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerIdentifiers: Identifier for the local reranker promoting an individual community metric.
localClustCoef() - Method in class es.uam.eps.ir.relison.metrics.complementarymetrics.VertexMetricsTest
localClustCoef() - Method in class es.uam.eps.ir.relison.metrics.VertexMetricsTest: Tests the local clustering coefficient of the nodes.
LOCALCLUSTCOEF - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.VertexMetricIdentifiers: Identifier for the local clustering coefficient.
LocalClusteringCoefficient - Class in es.uam.eps.ir.relison.sna.metrics.vertex: Computes the local clustering coefficient of a node.
LocalClusteringCoefficient() - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.LocalClusteringCoefficient: Default constructor.
LocalClusteringCoefficient(EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.LocalClusteringCoefficient: Constructor.
LocalClusteringCoefficientGridSearch - Class in es.uam.eps.ir.relison.grid.sna.vertex: Grid for the local clustering coefficient of a node.
LocalClusteringCoefficientGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.vertex.LocalClusteringCoefficientGridSearch
LOCALCOMMMETRIC - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerIdentifiers: Identifier for the local reranker promoting a community metric.
LOCALEDGEMETRIC - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerIdentifiers: Identifier for the local reranker promoting an edge metric.
LOCALGRAPHMETRIC - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerIdentifiers: Identifier for the local reranker promoting a graph metric.
LocalGreedyReranker<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.local: Generalization of greedy local reranking strategies, for processing several recommendations at a time.
LocalGreedyReranker(int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalGreedyReranker: Constructor.
LocalGreedyReranker(int, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalGreedyReranker: Constructor
LocalLambdaReranker<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.local: Generalization of local greedy reranking strategies, for processing several recommendations at a time.
LocalLambdaReranker(int, double, Supplier<Normalizer>) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalLambdaReranker: Constructor.
LocalLambdaReranker(int, double, Supplier<Normalizer>, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalLambdaReranker: Constructor.
LOCALLHN - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the local Leicht-Holme-Newman algorithm.
LocalLHNIndex - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf: Recommender that uses the local Leicht-Holme-Newman index.
LocalLHNIndex(FastGraph, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.LocalLHNIndex: Constructor.
LocalLHNIndexGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.foaf: Grid search generator for the local Leicht-Holme-Newman algorithm.
LocalLHNIndexGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.foaf.LocalLHNIndexGridSearch
LocalPathIndex - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.pathbased: Local path index recommender.
LocalPathIndex(FastGraph, double, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.pathbased.LocalPathIndex: Constructor.
LocalPathIndex(FastGraph, double, int, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.pathbased.LocalPathIndex: Constructor.
LocalPathIndexGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.pathbased: Grid search generator for Local Path Index algorithm.
LocalPathIndexGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.pathbased.LocalPathIndexGridSearch
LocalRandomReranker<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.local: Random reranker.
LocalRandomReranker(int, double, Supplier<Normalizer>) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalRandomReranker: Constructor.
LocalRandomReranker(int, double, Supplier<Normalizer>, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalRandomReranker: Constructor.
LOCALRECIPRATE - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.VertexMetricIdentifiers: Identifier for the reciprocity rate.
LocalReciprocityRate - Class in es.uam.eps.ir.relison.sna.metrics.vertex: Computes the local reciprocity rate, i.e.
LocalReciprocityRate(EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.LocalReciprocityRate: Constructor.
LocalReciprocityRateGridSearch - Class in es.uam.eps.ir.relison.grid.sna.vertex: Grid for the reciprocity of a node.
LocalReciprocityRateGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.vertex.LocalReciprocityRateGridSearch
LocalReranker<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.local: Generalization of local reranking strategies, for processing several recommendations at a time.
LocalReranker() - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalReranker: Constructor.
LocalReranker(long) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalReranker: Constructor.
LOCALUSERMETRIC - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerIdentifiers: Identifier for the local reranker promoting a user metric.
LOG - Static variable in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.als.ALSUpdateableFactorizer: The log.
LogisticRegressionClassifier - Class in es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers: Classifier that applies a logistic regression (i.e.
LogisticRegressionClassifier(double, int) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.LogisticRegressionClassifier: Constructor.
LogisticRegressionClassifier(double, int, boolean) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.LogisticRegressionClassifier: Constructor.
LONG_TYPE - Static variable in class es.uam.eps.ir.relison.grid.BasicTypeIdentifiers: Type identifier for longs
longgen - Static variable in class es.uam.eps.ir.relison.utils.generator.Generators: Long generator.
LongTailNoveltyConfigurator<U,F> - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics.novdiv: Grid search generator for the long tail novelty of the recommendations.
LongTailNoveltyConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.novdiv.LongTailNoveltyConfigurator
longValues - Variable in class es.uam.eps.ir.relison.grid.Grid: Long values for the parameters.
longValues - Variable in class es.uam.eps.ir.relison.grid.Parameters: Long values for the parameters.
LOOSETIMESTAMP - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionMechanismIdentifiers: Identifier for selecting pieces to propagate according to timestamp, which can re-propagate received pieces at a later time than originally.
LooseTimestampBasedSelectionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.selection: Configures a selection mechanism that propagates the information created by a user when the timestamp of the simulation is equivalent to the real propagation timestamp.
LooseTimestampBasedSelectionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.selection.LooseTimestampBasedSelectionConfigurator
LooseTimestampBasedSelectionMechanism - Class in es.uam.eps.ir.relison.diffusion.selections: Selection mechanism that takes the real timestamps of the users into account.
LooseTimestampBasedSelectionMechanism() - Constructor for class es.uam.eps.ir.relison.diffusion.selections.LooseTimestampBasedSelectionMechanism
Louvain - Class in es.uam.eps.ir.relison.sna.community.detection.modularity: Class for computing the Louvain community detection algorithm.
Louvain(double) - Constructor for class es.uam.eps.ir.relison.sna.community.detection.modularity.Louvain: Constructor.
Louvain(int, double) - Constructor for class es.uam.eps.ir.relison.sna.community.detection.modularity.Louvain: Constructor.
LOUVAIN - Static variable in class es.uam.eps.ir.relison.grid.community.CommunityDetectionIdentifiers: Identifier of the Louvain community detection approach.
LouvainConfigurator - Class in es.uam.eps.ir.relison.grid.community.modularity: Configurator for the Louvain community detection algorithm.
LouvainConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.community.modularity.LouvainConfigurator
Love - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter: Twitter Love algorithm.
Love(FastGraph, int, double, boolean, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter.Love: Constructor.
LOVE - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Love algorithm.
LoveGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter: Grid search generator for the Love algorithm.
LoveGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.LoveGridSearch
LPI - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Local Path Index algorithm.
LTN<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.metrics.novdiv: Global version of the long tail novelty.
LTN - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricIdentifiers: Identifier for the long-tail novelty metric (LTN)
LTN(int, PCItemNovelty<U, I>) - Constructor for class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.LTN: Constructor.
LuceneBuilder<C> - Class in es.uam.eps.ir.relison.content.index.lucene: Lucene implementation of an Index Builder
LuceneBuilder() - Constructor for class es.uam.eps.ir.relison.content.index.lucene.LuceneBuilder: Constructor.
LuceneForwardIndex<C> - Class in es.uam.eps.ir.relison.content.index.lucene: Lucene implementation of a forward index.
LuceneForwardIndex(String, Parser<C>) - Constructor for class es.uam.eps.ir.relison.content.index.lucene.LuceneForwardIndex: Constructor.
LuceneForwardIndexBuilder<C> - Class in es.uam.eps.ir.relison.content.index.lucene: Lucene implementation of a builder for a forward index.
LuceneForwardIndexBuilder() - Constructor for class es.uam.eps.ir.relison.content.index.lucene.LuceneForwardIndexBuilder: Constructor.
LuceneFreqVector - Class in es.uam.eps.ir.relison.content.index.freq.lucene: Lucene implementation of a term vector.
LuceneFreqVector(Terms) - Constructor for class es.uam.eps.ir.relison.content.index.freq.lucene.LuceneFreqVector: Constructor.
LuceneFreqVectorIterator - Class in es.uam.eps.ir.relison.content.index.freq.lucene: Iterator for the Lucene frequency vector
LuceneFreqVectorIterator(Terms) - Constructor for class es.uam.eps.ir.relison.content.index.freq.lucene.LuceneFreqVectorIterator: Constructor
LuceneIndex<C> - Class in es.uam.eps.ir.relison.content.index.lucene: Lucene implementation of an index.
LuceneIndex(String, Int2ObjectMap<C>) - Constructor for class es.uam.eps.ir.relison.content.index.lucene.LuceneIndex: Auxiliar constructor.
LuceneIndex(String, Parser<C>) - Constructor for class es.uam.eps.ir.relison.content.index.lucene.LuceneIndex: General constructor.
LucenePositionalIndex<C> - Class in es.uam.eps.ir.relison.content.index.lucene: Lucene implementation of a positional index.
LucenePositionalIndex(String, Parser<C>) - Constructor for class es.uam.eps.ir.relison.content.index.lucene.LucenePositionalIndex: Constructor.
LucenePositionalIndexBuilder<C> - Class in es.uam.eps.ir.relison.content.index.lucene: Constructor for a Lucene positional index builder.
LucenePositionalIndexBuilder() - Constructor for class es.uam.eps.ir.relison.content.index.lucene.LucenePositionalIndexBuilder: Constructor.
LucenePositionalPostingsIterator - Class in es.uam.eps.ir.relison.content.index.structure.positional.lucene: Iterator for running over a Lucene positional posting list.
LucenePositionalPostingsIterator(PostingsEnum, PostingsEnum) - Constructor for class es.uam.eps.ir.relison.content.index.structure.positional.lucene.LucenePositionalPostingsIterator: Constructor.
LucenePositionalPostingsList - Class in es.uam.eps.ir.relison.content.index.structure.positional.lucene: Positional posting list for Lucene.
LucenePositionalPostingsList(PostingsEnum, PostingsEnum, int) - Constructor for class es.uam.eps.ir.relison.content.index.structure.positional.lucene.LucenePositionalPostingsList: Constructor.
LucenePostingsIterator - Class in es.uam.eps.ir.relison.content.index.structure.lucene: Iterator of a Lucene posting list.
LucenePostingsIterator(PostingsEnum) - Constructor for class es.uam.eps.ir.relison.content.index.structure.lucene.LucenePostingsIterator: Constructor.
LucenePostingsList - Class in es.uam.eps.ir.relison.content.index.structure.lucene: Lucene posting list.
LucenePostingsList(PostingsEnum, int) - Constructor for class es.uam.eps.ir.relison.content.index.structure.lucene.LucenePostingsList: Constructor.
LuceneTermFreq - Class in es.uam.eps.ir.relison.content.index.freq.lucene: Lucene implementation of the TermFreq object.
LuceneTermFreq(TermsEnum) - Constructor for class es.uam.eps.ir.relison.content.index.freq.lucene.LuceneTermFreq: Constructor
LuceneTfIdfFeaturesReader - Class in es.uam.eps.ir.relison.links.recommendation.features: Class that loads tf-idf features from a content index.
LuceneTfIdfFeaturesReader() - Constructor for class es.uam.eps.ir.relison.links.recommendation.features.LuceneTfIdfFeaturesReader

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