Package org.terrier.matching.models
Class DFIZ
- java.lang.Object
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- org.terrier.matching.models.WeightingModel
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- org.terrier.matching.models.DFIZ
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- All Implemented Interfaces:
java.io.Serializable
,java.lang.Cloneable
,Model
public class DFIZ extends WeightingModel
Divergence From Independence model based on Standardization (i.e., standardized distance from independence in term frequency tf).For more information:
A Nonparametric Term Weighting Method for Information Retrieval Based on Measuring the Divergence from Independence. Kocabas, Dincer & Karaoglan, International Journal of Information Retrieval, (to appear), 2013. doi: 10.1007/s10791-013-9225-4.
IRRA at TREC 2012: Index Term Weighting based on Divergence From Independence Model. Dincer, Kocabas & Karaoglan, NIST Special Publication, Proc. of the 20th Text Retrieval Conference, TREC'12, Gaitersburg, MD, USA, 2012.
- Since:
- 3.5
- Author:
- Bekir Taner Dincer & Craig Macdonald
- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class org.terrier.matching.models.WeightingModel
averageDocumentLength, c, cs, documentFrequency, es, i, keyFrequency, numberOfDocuments, numberOfPointers, numberOfPostings, numberOfTokens, numberOfUniqueTerms, rq, termFrequency
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Constructor Summary
Constructors Constructor Description DFIZ()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description java.lang.String
getInfo()
Returns the name of the model.double
score(double tf, double docLength)
This method provides the contract for implementing weighting models.-
Methods inherited from class org.terrier.matching.models.WeightingModel
clone, getOverflowed, getParameter, prepare, score, setCollectionStatistics, setEntryStatistics, setKeyFrequency, setParameter, setRequest
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Method Detail
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getInfo
public java.lang.String getInfo()
Description copied from class:WeightingModel
Returns the name of the model.- Specified by:
getInfo
in interfaceModel
- Specified by:
getInfo
in classWeightingModel
- Returns:
- java.lang.String
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score
public double score(double tf, double docLength)
Description copied from class:WeightingModel
This method provides the contract for implementing weighting models.- Specified by:
score
in classWeightingModel
- Parameters:
tf
- The term frequency in the documentdocLength
- the document's length- Returns:
- the score assigned to a document with the given tf and docLength, and other preset parameters
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