Package es.uam.eps.ir.relison.grid.links.recommendation.metrics.accuracy

Class NDCGConfigurator<U,​F>

java.lang.Object
es.uam.eps.ir.relison.grid.links.recommendation.metrics.accuracy.NDCGConfigurator<U,​F>
Type Parameters:
U - type of the users.
All Implemented Interfaces:
RecommMetricConfigurator<U,​F>
public class NDCGConfigurator<U,​F>
extends java.lang.Object
implements RecommMetricConfigurator<U,​F>
Grid search generator for the normalized discounted cumulative gain (nDCG) metric.
See Also:
NDCG

  • Field Summary

    Fields 
    Modifier and Type Field Description
    private static java.lang.String CUTOFF
    Identifier for the maximum number of recommended links to consider.

  • Constructor Summary

    Constructors 
    Constructor Description
    NDCGConfigurator()  

  • Method Summary

    Modifier and Type Method Description
    java.util.Map<java.lang.String,​RecommendationMetricFunction<U,​F>> grid​(Grid grid)
    Obtains the different recommendation algorithms to execute in a grid.
    java.util.Map<java.lang.String,​java.util.function.Supplier<es.uam.eps.ir.ranksys.metrics.SystemMetric<U,​U>>> grid​(Grid grid, Graph<U> trainGraph, Graph<U> testGraph, es.uam.eps.ir.ranksys.core.preference.PreferenceData<U,​U> trainData, es.uam.eps.ir.ranksys.core.preference.PreferenceData<U,​U> testData, es.uam.eps.ir.ranksys.core.feature.FeatureData<U,​F,​java.lang.Double> featureData, Communities<U> comms)
    Obtains the different recommendation algorithms to execute in a grid.

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Field Details

    • CUTOFF

      private static final java.lang.String CUTOFF
      Identifier for the maximum number of recommended links to consider.
      See Also:
      Constant Field Values

  • Constructor Details

  • Method Details

    • grid

      public java.util.Map<java.lang.String,​RecommendationMetricFunction<U,​F>> grid​(Grid grid)
      Description copied from interface: RecommMetricConfigurator
      Obtains the different recommendation algorithms to execute in a grid.
      Specified by:
      grid in interface RecommMetricConfigurator<U,​F>
      Parameters:
      grid - The grid for the algorithm.
      Returns:
      a map containing the different recommendations.

    • grid

      public java.util.Map<java.lang.String,​java.util.function.Supplier<es.uam.eps.ir.ranksys.metrics.SystemMetric<U,​U>>> grid​(Grid grid, Graph<U> trainGraph, Graph<U> testGraph, es.uam.eps.ir.ranksys.core.preference.PreferenceData<U,​U> trainData, es.uam.eps.ir.ranksys.core.preference.PreferenceData<U,​U> testData, es.uam.eps.ir.ranksys.core.feature.FeatureData<U,​F,​java.lang.Double> featureData, Communities<U> comms)
      Description copied from interface: RecommMetricConfigurator
      Obtains the different recommendation algorithms to execute in a grid.
      Specified by:
      grid in interface RecommMetricConfigurator<U,​F>
      Parameters:
      grid - the grid containing the different parameters for the metric.
      trainGraph - the training network.
      testGraph - the test network.
      trainData - the training preference data.
      testData - the test preference data.
      featureData - the feature data.
      comms - the communities for the users in the network.
      Returns:
      a map containing the different recommendations.