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See:
Description
| Class Summary | |
|---|---|
| B | This class implements the B basic model for randomness. |
| BasicModel | This class provides a contract for implementing the basic models for randomness in the DFR framework, for use with the DFRWeightingModel class. |
| BM | This class implements the BM weighting model, which generates the original weight given by the BM25 formula, without frequency normalisation and query term weighting. |
| Br | This class implements the Bernoulli model of randomness |
| DFR_BM | This class implements the DFR BM weighting model, which is an approximation of BM25 in the DFR framework. |
| IF | This class implements the IF basic model for randomness. |
| In | This class implements the In basic model for randomness. |
| In_exp | This class implements the In_exp basic model for randomness. |
| P | This class implements the P basic model for randomness. |
| PL | This class implements the PL weighting model. |
Provides the interface and the classes for implementing the basic models for randomness in the DFR framework. The implemented classes can be used by specifying the class name in /etc/trec.models, or in property trec.model. For instance, adding a line DFRWeightingModel(P,L,2) in file /etc/trec.models tells the systems to use the PL2 model to run retrieval. P stands for class P in this package, L stands for class L in package org.terrier.matching.basicmodel, and "2" stands for class 2 in package org.terrier.matching.models.normalisation.
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