Package | Description |
---|---|
org.apache.lucene.document |
The logical representation of a
Document for indexing and searching. |
org.apache.lucene.index |
Code to maintain and access indices.
|
org.apache.lucene.index.memory |
High-performance single-document main memory Apache Lucene fulltext search index.
|
org.apache.lucene.misc |
Miscellaneous index tools.
|
org.apache.lucene.queries.function.valuesource |
A variety of functions to use with FunctionQuery.
|
org.apache.lucene.queries.mlt |
Document similarity query generators.
|
org.apache.lucene.sandbox.queries |
Additional queries (some may have caveats or limitations)
|
org.apache.lucene.search |
Code to search indices.
|
org.apache.lucene.search.intervals |
Intervals queries
|
org.apache.lucene.search.similarities |
This package contains the various ranking models that can be used in Lucene.
|
org.apache.lucene.search.similarity |
Misc similarity implementations.
|
org.apache.lucene.search.spans |
The calculus of spans.
|
Class and Description |
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Similarity.SimScorer
Stores the weight for a query across the indexed collection.
|
Class and Description |
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Similarity
Similarity defines the components of Lucene scoring.
|
Class and Description |
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Similarity
Similarity defines the components of Lucene scoring.
|
Class and Description |
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ClassicSimilarity
Expert: Historical scoring implementation.
|
Similarity
Similarity defines the components of Lucene scoring.
|
TFIDFSimilarity
Implementation of
Similarity with the Vector Space Model. |
Class and Description |
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Similarity
Similarity defines the components of Lucene scoring.
|
TFIDFSimilarity
Implementation of
Similarity with the Vector Space Model. |
Class and Description |
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TFIDFSimilarity
Implementation of
Similarity with the Vector Space Model. |
Class and Description |
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TFIDFSimilarity
Implementation of
Similarity with the Vector Space Model. |
Class and Description |
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BM25Similarity
BM25 Similarity.
|
Similarity
Similarity defines the components of Lucene scoring.
|
Similarity.SimScorer
Stores the weight for a query across the indexed collection.
|
Class and Description |
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Similarity.SimScorer
Stores the weight for a query across the indexed collection.
|
Class and Description |
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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. |
Class and Description |
---|
BM25Similarity
BM25 Similarity.
|
Similarity
Similarity defines the components of Lucene scoring.
|
Similarity.SimScorer
Stores the weight for a query across the indexed collection.
|
Class and Description |
---|
Similarity
Similarity defines the components of Lucene scoring.
|
Similarity.SimScorer
Stores the weight for a query across the indexed collection.
|