Package es.uam.eps.ir.relison.links.recommendation.algorithms

Interface RecommendationAlgorithmFunction<U>

Type Parameters:
U - Type of the users.
Functional Interface:
This is a functional interface and can therefore be used as the assignment target for a lambda expression or method reference.
@FunctionalInterface
public interface RecommendationAlgorithmFunction<U>
Functions for retrieving trained recommendation algorithms.

  • Method Summary

    Modifier and Type Method Description
    es.uam.eps.ir.ranksys.rec.Recommender<U,​U> apply​(FastGraph<U> graph, es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData<U,​U> prefData)
    Given a graph, and the preference data, obtains a trained algorithm.
    default boolean isWeighted()
    Indicates if the algorithm version to use is weighted or not.

  • Method Details

    • apply

      es.uam.eps.ir.ranksys.rec.Recommender<U,​U> apply​(FastGraph<U> graph, es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData<U,​U> prefData)
      Given a graph, and the preference data, obtains a trained algorithm.
      Parameters:
      graph - the graph.
      prefData - the preference data.
      Returns:
      the trained recommender.

    • isWeighted

      default boolean isWeighted()
      Indicates if the algorithm version to use is weighted or not.
      Returns:
      true if the algorithm version is weighted, false otherwise.