DFIC (Terrier Information Retrieval Platform 5.5 API)

java.lang.Object
- org.terrier.matching.models.WeightingModel
- - org.terrier.matching.models.DFIC

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, Model
```
public class DFIC
extends WeightingModel
```
Divergence From Independence model based on Chi-square statistics (i.e., standardized Chi-squared 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

Field Summary
- Fields inherited from class org.terrier.matching.models.WeightingModel
  averageDocumentLength, c, cs, documentFrequency, es, i, keyFrequency, numberOfDocuments, numberOfPointers, numberOfPostings, numberOfTokens, numberOfUniqueTerms, rq, termFrequency

Constructor Summary

Constructors
Constructor Description

DFIC()

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

Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - DFIC
```
public DFIC()
```
- Method Detail
  - getInfo
```
public java.lang.String getInfo()
```
    Description copied from class: WeightingModel
    
    Returns the name of the model.
    
    Specified by:
    
    getInfo in interface Model
    
    Specified by:
    
    getInfo in class WeightingModel
    
    Returns:
    
    java.lang.String
  - 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 class WeightingModel
    
    Parameters:
    
    tf - The term frequency in the document
    
    docLength - the document's length
    
    Returns:
    
    the score assigned to a document with the given tf and docLength, and other preset parameters