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 |
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Similarity.SimWeight |
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.
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