uk.ac.gla.terrier.matching.models.basicmodel
Class P

java.lang.Object
  uk.ac.gla.terrier.matching.models.basicmodel.BasicModel
      uk.ac.gla.terrier.matching.models.basicmodel.P

All Implemented Interfaces:

java.io.Serializable

public class P
extends BasicModel

This class implements the P basic model for randomness.

Version:

$Revision: 1.10 $

Author:

Gianni Amati, Ben He, Vassilis Plachouras

See Also:

Serialized Form

Constructor Summary

P()
A default constructor.

Method Summary

java.lang.String	getInfo() Returns the name of the model.
double	score(double tf, double documentFrequency, double termFrequency, double keyFrequency, double documentLength) This method provides the contract for implementing weighting models.

Methods inherited from class uk.ac.gla.terrier.matching.models.basicmodel.BasicModel

setNumberOfDocuments, setNumberOfTokens, stirlingPower

Methods inherited from class java.lang.Object

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

Constructor Detail

P

public P()

A default constructor.

Method Detail

getInfo

public java.lang.String getInfo()

Returns the name of the model.

Specified by:

getInfo in class BasicModel

Returns:

the name of the model

score

public double score(double tf,
                    double documentFrequency,
                    double termFrequency,
                    double keyFrequency,
                    double documentLength)

This method provides the contract for implementing weighting models.

Specified by:

score in class BasicModel

Parameters:

tf - The term frequency in the document

documentFrequency - The document frequency of the term

termFrequency - the term frequency in the collection

documentLength - The length of the document.

keyFrequency - The normalised query term frequency.

Returns:

the score returned by the implemented weighting model.