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java.lang.Object org.terrier.matching.models.normalisation.Normalisation org.terrier.matching.models.normalisation.NormalisationJ
public class NormalisationJ
This class implements the tf normalisation based on Jelinek-Mercer smoothing for language modelling.
Field Summary | |
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protected java.lang.String |
methodName
The name of the normalisation method . |
Fields inherited from class org.terrier.matching.models.normalisation.Normalisation |
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averageDocumentLength, idf, Nt, numberOfDocuments, numberOfTokens, parameter, termFrequency |
Constructor Summary | |
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NormalisationJ()
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Method Summary | |
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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 org.terrier.matching.models.normalisation.Normalisation |
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getParameter, setAverageDocumentLength, setDocumentFrequency, setNumberOfDocuments, setNumberOfTokens, setParameter |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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protected final java.lang.String methodName
Constructor Detail |
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public NormalisationJ()
Method Detail |
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public java.lang.String getInfo()
getInfo
in class Normalisation
public double normalise(double tf, double docLength, double termFrequency)
normalise
in class Normalisation
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.
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