Package 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.

See:
Description

Class Summary

BB2	This class implements the BB2 weighting model.
BM25	This class implements the Okapi BM25 weighting model.
DFR_BM25	This class implements the DFR_BM25 weighting model.
DFRee	This class implements the DFRee weighting model.
DFRWeightingModel	This class implements a modular DFR model.
DLH	This class implements the DLH weighting model.
DLH13	This class implements the DLH13 weighting model.
Hiemstra_LM	This class implements the Hiemstra LM weighting model.
Idf	This class computes the idf values for specific terms in the collection.
IFB2	This class implements the IFB2 weighting model.
In_expB2	This class implements the PL2 weighting model.
In_expC2	This class implements the In_expC2 weighting model.
InL2	This class implements the InL2 weighting model.
LemurTF_IDF	This class implements the TF_IDF weighting model as it is implemented in Lemur.
PL2	This class implements the PL2 weighting model.
TF_IDF	This class implements the TF_IDF weighting model.
WeightingModel	This class should be extended by the classes used for weighting terms and documents.

Package uk.ac.gla.terrier.matching.models Description

Provides the classes that implement various classical IR models, as well as models from the Divergence From Randomness (DFR) framework.