Terrier IR Platform
1.1.1

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

java.lang.Object
  extended by uk.ac.gla.terrier.matching.models.basicmodel.BasicModel
      extended by 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: 1.7 $
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)
          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)
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
keyFrequency - The normalised query term frequency.
Returns:
the score returned by the implemented weighting model.

Terrier IR Platform
1.1.1

Terrier Information Retrieval Platform 1.1.1. Copyright 2004-2007 University of Glasgow