# Uses of Package
org.apache.lucene.search.similarities

Packages that use org.apache.lucene.search.similarities
Package
Description
org.apache.lucene.index
Code to maintain and access indices.
org.apache.lucene.search
Code to search indices.
org.apache.lucene.search.similarities
This package contains the various ranking models that can be used in Lucene.

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