Normalizers

java.lang.Object

es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.Normalizers

public class Normalizers
extends java.lang.Object

Examples of normalizers.

Constructor Summary

Constructors

Constructor Description

Normalizers()

Method Summary

Modifier and Type	Method	Description
`static <I> java.util.function.Supplier<Normalizer<I>>`	`minmax()`	Obtains a normalizer that normalizes according to the maximum and minimum values in the scores.
`static <I> java.util.function.Supplier<Normalizer<I>>`	`noNorm()`	It does not apply any normalization.
`static <I> java.util.function.Supplier<Normalizer<I>>`	`ranksim()`	Obtains a normalizer that normalizes according to ranking position.
`static <I> java.util.function.Supplier<Normalizer<I>>`	`zscore()`	Obtains a normalizer that normalizes scores so they follow a normal distribution.

Methods inherited from class java.lang.Object

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

Constructor Details
- Normalizers
  
  public Normalizers()
Method Details
- noNorm
  
  public static <I> java.util.function.Supplier<Normalizer<I>> noNorm()
  
  It does not apply any normalization.
  
  Type Parameters:
  
  I - type of the users.
  
  Returns:
  
  a normalization scheme which does not normalize.
- ranksim
  
  public static <I> java.util.function.Supplier<Normalizer<I>> ranksim()
  
  Obtains a normalizer that normalizes according to ranking position.
  
  Type Parameters:
  
  I - type of the users.
  
  Returns:
  
  a normalization scheme which normalizes according to ranking position.
- minmax
  
  public static <I> java.util.function.Supplier<Normalizer<I>> minmax()
  
  Obtains a normalizer that normalizes according to the maximum and minimum values in the scores.
  
  Type Parameters:
  
  I - type of the users.
  
  Returns:
  
  a normalization scheme that normalizes according to the maximum and minimum values in the scores.
- zscore
  
  public static <I> java.util.function.Supplier<Normalizer<I>> zscore()
  
  Obtains a normalizer that normalizes scores so they follow a normal distribution.
  
  Type Parameters:
  
  I - type of the users.
  
  Returns:
  
  a normalization scheme that normalizes scores so they follow a normal distribution.