This class implements the DLH13 weighting model. This is a parameter-free
weighting model. Even if the user specifies a parameter value, it will NOT
affect the results. It is highly recomended to use the model with query expansion.
University of Glasgow at TREC 2005: Experiments in Terabyte and Enterprise
Tracks with Terrier. Craig Macdonald, Ben He, Vassilis Plachouras and Iadh Ounis.
In Proceedings of TREC 2005.
Frequentist and Bayesian approach to Information Retrieval. G. Amati. In
Proceedings of the 28th European Conference on IR Research (ECIR 2006).
LNCS vol 3936, pages 13--24.
the score assigned to a document with the given
tf and docLength, and other preset parameters
public final double score(double tf,
This method provides the contract for implementing weighting models.
As of Terrier 3.6, the 5-parameter score method is being deprecated
since it is not used. The two parameter score method should be used
instead. Tagged for removal in a later version.