Terrier IR Platform
2.2.1

Uses of Class
uk.ac.gla.terrier.matching.models.WeightingModel

Packages that use WeightingModel
uk.ac.gla.terrier.matching.models Provides the classes that implement various classical IR models, as well as models from the Divergence From Randomness (DFR) framework. 
 

Uses of WeightingModel in uk.ac.gla.terrier.matching.models
 

Subclasses of WeightingModel in uk.ac.gla.terrier.matching.models
 class BB2
          This class implements the BB2 weighting model.
 class BM25
          This class implements the Okapi BM25 weighting model.
 class DFR_BM25
          This class implements the DFR_BM25 weighting model.
 class DFRee
          This class implements the DFRee weighting model.
 class DFRWeightingModel
          This class implements a modular DFR model.
 class DLH
          This class implements the DLH weighting model.
 class DLH13
          This class implements the DLH13 weighting model.
 class Hiemstra_LM
          This class implements the Hiemstra LM weighting model.
 class IFB2
          This class implements the IFB2 weighting model.
 class In_expB2
          This class implements the PL2 weighting model.
 class In_expC2
          This class implements the In_expC2 weighting model.
 class InL2
          This class implements the InL2 weighting model.
 class LemurTF_IDF
          This class implements the TF_IDF weighting model as it is implemented in Lemur.
 class PL2
          This class implements the PL2 weighting model.
 class TF_IDF
          This class implements the TF_IDF weighting model.
 


Terrier IR Platform
2.2.1

Terrier Information Retrieval Platform 2.2.1. Copyright 2004-2008 University of Glasgow