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Terrier IR Platform 2.2.1 |
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java.lang.Object uk.ac.gla.terrier.matching.models.aftereffect.AfterEffect uk.ac.gla.terrier.matching.models.aftereffect.B
public class B
This class implements the B model for the first normalisation by after effect. B stands for the binomial model.
Constructor Summary | |
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B()
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Method Summary | |
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double |
gain(double tf,
double documentFrequency,
double termFrequency)
This method computes the gain of encountering an extra token of the query term. |
java.lang.String |
getInfo()
This method returns the name of the model. |
Methods inherited from class uk.ac.gla.terrier.matching.models.aftereffect.AfterEffect |
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getParameter, setAverageDocumentLength, setParameter |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public B()
Method Detail |
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public java.lang.String getInfo()
getInfo
in class AfterEffect
public double gain(double tf, double documentFrequency, double termFrequency)
gain
in class AfterEffect
tf
- The term frequency in the documentdocumentFrequency
- The document frequency of the termtermFrequency
- the term frequency in the collection
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Terrier IR Platform 2.2.1 |
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