Package es.uam.eps.ir.relison.diffusion.selections

Class RecommenderSelectionMechanism<U extends java.io.Serializable,​I extends java.io.Serializable,​P>

java.lang.Object
es.uam.eps.ir.relison.diffusion.selections.RecommenderSelectionMechanism<U,​I,​P>
Type Parameters:
U - type of the users.
I - type of the information.
P - type of the parameters.
All Implemented Interfaces:
SelectionMechanism<U,​I,​P>
public class RecommenderSelectionMechanism<U extends java.io.Serializable,​I extends java.io.Serializable,​P>
extends java.lang.Object
implements SelectionMechanism<U,​I,​P>
Selects the propagated pieces depending on the recommendations. When the user has to propagate others information, chooses with some probability the information that has arrived from some users that have been recommended to him, and with the rest of probability the information that has arrived from users of the original graph.

  • Field Summary

    Fields 
    Modifier and Type Field Description
    private int numOwn
    Number of own information pieces to propagate for each user and iteration.
    private int numPropagate
    Number of received information to propagate for each user and iteration.
    private int numRepropagate
    Number of already propagated information to repropagate for each user and iteration.
    private EdgeOrientation orientation
    It indicates the neighborhood that sends the information pieces.
    private double prob
    Probability of choosing information to propagate that comes from recommended users.

  • Constructor Summary

    Constructors 
    Constructor Description
    RecommenderSelectionMechanism​(int numOwn, int numPropagate, double prob, EdgeOrientation orientation)
    Constructor.
    RecommenderSelectionMechanism​(int numOwn, int numPropagate, int numRepr, double prob, EdgeOrientation orientation)
    Constructor.

  • Method Summary

    Modifier and Type Method Description
    java.util.stream.Stream<U> getSelectableUsers​(Data<U,​I,​P> data, SimulationState<U,​I,​P> state, int numIter, java.lang.Long timestamp)
    Selects the users which can propagate information during the iteration.
    Selection select​(UserState<U> user, Data<U,​I,​P> data, SimulationState<U,​I,​P> state, int numIter, java.lang.Long timestamp)
    Given a user, selects the information pieces that he/she propagates during this iteration.

    Methods inherited from class java.lang.Object

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

  • Field Details

    • numOwn

      private final int numOwn
      Number of own information pieces to propagate for each user and iteration.

    • numPropagate

      private final int numPropagate
      Number of received information to propagate for each user and iteration.

    • numRepropagate

      private final int numRepropagate
      Number of already propagated information to repropagate for each user and iteration.

    • prob

      private final double prob
      Probability of choosing information to propagate that comes from recommended users. If there are enough pieces, each time a piece of information is selected, with probability prob that piece will come from recommended users, and with probability (1-p) the piece will come from an edge in the training graph.

    • orientation

      private final EdgeOrientation orientation
      It indicates the neighborhood that sends the information pieces.

  • Constructor Details

    • RecommenderSelectionMechanism

      public RecommenderSelectionMechanism​(int numOwn, int numPropagate, double prob, EdgeOrientation orientation)
      Constructor.
      Parameters:
      numOwn - number of own information pieces to propagate for each user and iteration.
      numPropagate - number of received information to propagate for each user and iteration.
      prob - probability of chosing information to propagate that comes from recommended users.
      orientation - it indicates the neighborhood that sends the information pieces.

    • RecommenderSelectionMechanism

      public RecommenderSelectionMechanism​(int numOwn, int numPropagate, int numRepr, double prob, EdgeOrientation orientation)
      Constructor.
      Parameters:
      numOwn - number of own information pieces to propagate for each user and iteration.
      numPropagate - number of received information to propagate for each user and iteration.
      numRepr - number of already propagated pieces to propagate for each user and iteration.
      prob - probability of chosing information to propagate that comes from recommended users.
      orientation - it indicates the neighborhood that sends the information pieces.

  • Method Details

    • select

      public Selection select​(UserState<U> user, Data<U,​I,​P> data, SimulationState<U,​I,​P> state, int numIter, java.lang.Long timestamp)
      Description copied from interface: SelectionMechanism
      Given a user, selects the information pieces that he/she propagates during this iteration.
      Specified by:
      select in interface SelectionMechanism<U extends java.io.Serializable,​I extends java.io.Serializable,​P>
      Parameters:
      user - the user to analyze.
      data - the complete data.
      state - the current state of the simulation.
      numIter - the iteration number.
      timestamp - the current timestamp.
      Returns:
      a selection of information pieces to be propagated.

    • getSelectableUsers

      public java.util.stream.Stream<U> getSelectableUsers​(Data<U,​I,​P> data, SimulationState<U,​I,​P> state, int numIter, java.lang.Long timestamp)
      Description copied from interface: SelectionMechanism
      Selects the users which can propagate information during the iteration.
      Specified by:
      getSelectableUsers in interface SelectionMechanism<U extends java.io.Serializable,​I extends java.io.Serializable,​P>
      Parameters:
      data - the complete data.
      state - the current state of the simulation.
      numIter - iteration number.
      timestamp - the current timestamp.
      Returns:
      a stream containing the users who can propagate information.