Package org.terrier.matching.models.basicmodel

Class DFR_BM

java.lang.Object

org.terrier.matching.models.basicmodel.BasicModel

org.terrier.matching.models.basicmodel.DFR_BM

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable

public class DFR_BM
extends BasicModel

This class implements the DFR BM weighting model, which is an approximation of BM25 in the DFR framework. Feel free to combine the DFR_BM model with any frequency normalisation method. However, it is NOT recommended to use DFR_BM with the first normalisation for after effect. For example, to use the DFR_BM model with the normalisation 2, add the following line in file etc/trec.models: DFRWeightingModel(DFR_BM, , 2) Leave the space between the comas blank so that the first normalisation is disabled.

Author:

Ben He

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected java.lang.String	modelName	The name of the model.

Fields inherited from class org.terrier.matching.models.basicmodel.BasicModel

i, numberOfDocuments, numberOfTokens

Constructor Summary

Constructors

Constructor	Description
DFR_BM()	A default constructor.

Method Summary

Modifier and Type	Method	Description
java.lang.String	getInfo()	Returns the name of the model.
double	score(double tf, double documentFrequency, double termFrequency, double keyFrequency, double documentLength)	This method computes the score for the implemented weighting model.

Methods inherited from class org.terrier.matching.models.basicmodel.BasicModel

clone, setNumberOfDocuments, setNumberOfTokens, stirlingPower

Methods inherited from class java.lang.Object

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

Field Detail

modelName

protected java.lang.String modelName

The name of the model.

Constructor Detail

DFR_BM

public DFR_BM()

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 computes the score for the implemented weighting model.

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.

documentLength - The length of the document.

Returns:

the score returned by the implemented weighting model.