Terrier IR Platform
2.2.1

uk.ac.gla.terrier.matching.models.queryexpansion
Class Bo2

java.lang.Object
  extended by uk.ac.gla.terrier.matching.models.queryexpansion.QueryExpansionModel
      extended by uk.ac.gla.terrier.matching.models.queryexpansion.Bo2

public class Bo2
extends QueryExpansionModel

This class implements the Bo2 model for query expansion. See G. Amati's Phd Thesis.

Version:
$Revision: 1.18 $
Author:
Gianni Amati, Ben He

Field Summary
 
Fields inherited from class uk.ac.gla.terrier.matching.models.queryexpansion.QueryExpansionModel
PARAMETER_FREE, ROCCHIO_BETA
 
Constructor Summary
Bo2()
          A default constructor.
 
Method Summary
 java.lang.String getInfo()
          Returns the name of the model.
 double parameterFreeNormaliser()
          This method computes the normaliser of parameter-free query expansion.
 double parameterFreeNormaliser(double maxTermFrequency, double collectionLength, double totalDocumentLength)
          This method computes the normaliser of parameter-free query expansion.
 double score(double withinDocumentFrequency, double termFrequency)
          This method implements the query expansion model.
 double score(double withinDocumentFrequency, double termFrequency, double totalDocumentLength, double collectionLength, double averageDocumentLength)
          This method implements the query expansion model.
 
Methods inherited from class uk.ac.gla.terrier.matching.models.queryexpansion.QueryExpansionModel
initialise, setAverageDocumentLength, setCollectionLength, setDocumentFrequency, setMaxTermFrequency, setNumberOfDocuments, setTotalDocumentLength
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

Bo2

public Bo2()
A default constructor.

Method Detail

getInfo

public final java.lang.String getInfo()
Returns the name of the model.

Specified by:
getInfo in class QueryExpansionModel
Returns:
the name of the model

parameterFreeNormaliser

public final double parameterFreeNormaliser()
This method computes the normaliser of parameter-free query expansion.

Specified by:
parameterFreeNormaliser in class QueryExpansionModel
Returns:
The normaliser.

parameterFreeNormaliser

public final double parameterFreeNormaliser(double maxTermFrequency,
                                            double collectionLength,
                                            double totalDocumentLength)
This method computes the normaliser of parameter-free query expansion.

Specified by:
parameterFreeNormaliser in class QueryExpansionModel
Parameters:
maxTermFrequency - The maximum of the term frequency of the query terms.
collectionLength - The number of tokens in the collections.
totalDocumentLength - The sum of the length of the top-ranked documents.
Returns:
The normaliser.

score

public final double score(double withinDocumentFrequency,
                          double termFrequency)
This method implements the query expansion model.

Specified by:
score in class QueryExpansionModel
Parameters:
withinDocumentFrequency - double The term frequency in the X top-retrieved documents.
termFrequency - double The term frequency in the collection.
Returns:
double The query expansion weight using the Bose-Einstein statistics where the mean is given by the Bernoulli process.

score

public final double score(double withinDocumentFrequency,
                          double termFrequency,
                          double totalDocumentLength,
                          double collectionLength,
                          double averageDocumentLength)
This method implements the query expansion model.

Specified by:
score in class QueryExpansionModel
Parameters:
withinDocumentFrequency - double The term frequency in the X top-retrieved documents.
termFrequency - double The term frequency in the collection.
totalDocumentLength - double The sum of length of the X top-retrieved documents.
collectionLength - double The number of tokens in the whole collection.
averageDocumentLength - double The average document length in the collection.
Returns:
double The score returned by the implemented model.

Terrier IR Platform
2.2.1

Terrier Information Retrieval Platform 2.2.1. Copyright 2004-2008 University of Glasgow