uk.ac.gla.terrier.matching.models.normalisation
Class Normalisation3

java.lang.Object
  uk.ac.gla.terrier.matching.models.normalisation.Normalisation
      uk.ac.gla.terrier.matching.models.normalisation.Normalisation3

All Implemented Interfaces:

java.io.Serializable

public class Normalisation3
extends Normalisation

This class implements the Dirichlet Priors normalisation.

Version:

$Revision: 1.10 $

Author:

Gianni Amati, Ben He

See Also:

Serialized Form

Constructor Summary

Normalisation3()
The default constructor.

Normalisation3(double value)
The constructor that also sets the parameter mu of the Dirichlet Normalisation.

Method Summary

java.lang.String	getInfo() Get the name of the normalisation method.
double	normalise(double tf, double docLength, double termFrequency) This method gets the normalised term frequency.

Methods inherited from class uk.ac.gla.terrier.matching.models.normalisation.Normalisation

disableFieldRetrieval, enableFieldRetrieval, getFieldWeight, getParameter, setAverageDocumentLength, setDocumentFrequency, setFieldWeight, setNumberOfDocuments, setNumberOfTokens, setParameter

Methods inherited from class java.lang.Object

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

Constructor Detail

Normalisation3

public Normalisation3()

The default constructor.

Normalisation3

public Normalisation3(double value)

The constructor that also sets the parameter mu of the Dirichlet Normalisation.

Parameters:

value - The specified value for the parameter mu.

Method Detail

getInfo

public java.lang.String getInfo()

Get the name of the normalisation method.

Specified by:

getInfo in class Normalisation

Returns:

Return the name of the normalisation method as a string

normalise

public double normalise(double tf,
                        double docLength,
                        double termFrequency)

This method gets the normalised term frequency.

Specified by:

normalise in class Normalisation

Parameters:

tf - The frequency of the query term in the document.

docLength - The number of tokens in the document.

termFrequency - The frequency of the query term in the collection.

Returns:

The normalised term frequency.