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java.lang.Object org.terrier.matching.models.WeightingModel org.terrier.matching.models.TF_IDF
public class TF_IDF
This class implements the TF_IDF weighting model. tf is given by Robertson's tf and idf is given by the standard Sparck Jones' idf [Sparck Jones, 1972].
Field Summary |
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Fields inherited from class org.terrier.matching.models.WeightingModel |
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averageDocumentLength, c, documentFrequency, i, keyFrequency, numberOfDocuments, numberOfPointers, numberOfTokens, numberOfUniqueTerms, termFrequency |
Constructor Summary | |
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TF_IDF()
A default constructor to make this model. |
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TF_IDF(double _b)
Constructs an instance of TF_IDF |
Method Summary | |
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java.lang.String |
getInfo()
Returns the name of the model, in this case "TF_IDF" |
double |
getParameter()
Returns the b parameter to the ranking formula as set by setParameter() |
double |
score(double tf,
double docLength)
Uses TF_IDF to compute a weight for a term in a document. |
double |
score(double tf,
double docLength,
double documentFrequency,
double termFrequency,
double keyFrequency)
Uses TF_IDF to compute a weight for a term in a document. |
void |
setParameter(double _b)
Sets the b parameter to ranking formula |
Methods inherited from class org.terrier.matching.models.WeightingModel |
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clone, getOverflowed, prepare, score, setAverageDocumentLength, setCollectionStatistics, setDocumentFrequency, setEntryStatistics, setKeyFrequency, setNumberOfDocuments, setNumberOfPointers, setNumberOfTokens, setNumberOfUniqueTerms, setRequest, setTermFrequency, stirlingPower |
Methods inherited from class java.lang.Object |
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equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public TF_IDF()
public TF_IDF(double _b)
_b
- Method Detail |
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public final java.lang.String getInfo()
getInfo
in interface Model
getInfo
in class WeightingModel
public final double score(double tf, double docLength)
score
in class WeightingModel
tf
- The term frequency of the term in the documentdocLength
- the document's length
public final double score(double tf, double docLength, double documentFrequency, double termFrequency, double keyFrequency)
score
in class WeightingModel
tf
- The term frequency of the term in the documentdocLength
- the document's lengthdocumentFrequency
- The document frequency of the term (ignored)termFrequency
- the term frequency in the collection (ignored)keyFrequency
- the term frequency in the query (ignored).
public void setParameter(double _b)
setParameter
in interface Model
setParameter
in class WeightingModel
_b
- the b parameter value to use.public double getParameter()
getParameter
in interface Model
getParameter
in class WeightingModel
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