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.
Class Summary Class Description BThis class implements the B basic model for randomness. BasicModelThis class provides a contract for implementing the basic models for randomness in the DFR framework, for use with the DFRWeightingModel class. BMThis class implements the BM weighting model, which generates the original weight given by the BM25 formula, without frequency normalisation and query term weighting. BrThis class implements the Bernoulli model of randomness DFR_BMThis class implements the DFR BM weighting model, which is an approximation of BM25 in the DFR framework. IFThis class implements the IF basic model for randomness. InThis class implements the In basic model for randomness. In_expThis class implements the In_exp basic model for randomness. PThis class implements the P basic model for randomness. PLThis class implements the PL weighting model.