| AfterEffect |
This class acts as the base class for the implementations of the first normalization of the
informative content in the DFR framework.
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| Axiomatic |
Axiomatic approaches for IR.
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| BasicModel |
This class acts as the base class for the specific basic model implementations in the
DFR framework.
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| BasicStats |
Stores all statistics commonly used ranking methods.
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| Distribution |
The probabilistic distribution used to model term occurrence in information-based models.
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| Independence |
Computes the measure of divergence from independence for DFI scoring functions.
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| Lambda |
The lambda (λw) parameter in information-based models.
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| LMSimilarity |
Abstract superclass for language modeling Similarities.
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| LMSimilarity.CollectionModel |
A strategy for computing the collection language model.
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| Normalization |
This class acts as the base class for the implementations of the term frequency normalization
methods in the DFR framework.
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| Similarity |
Similarity defines the components of Lucene scoring.
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| Similarity.SimScorer |
Stores the weight for a query across the indexed collection.
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| SimilarityBase |
A subclass of Similarity that provides a simplified API for its descendants.
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| TFIDFSimilarity |
Implementation of Similarity with the Vector Space Model. |