es.uam.eps.ir.ranksys.nn.sim

Class VectorJaccardSimilarity

java.lang.Object

es.uam.eps.ir.ranksys.nn.sim.VectorSimilarity

es.uam.eps.ir.ranksys.nn.sim.VectorJaccardSimilarity

All Implemented Interfaces:

Similarity

public class VectorJaccardSimilarity
extends VectorSimilarity

Vector Jaccard similarity. sim(v, w) = v * w / (v * v + w * w - v * w)

Author:

Saúl Vargas (saul.vargas@uam.es)

Field Summary

Fields inherited from class es.uam.eps.ir.ranksys.nn.sim.VectorSimilarity

data, dense, norm2Array, norm2Map

Constructor Summary

Constructors

Constructor and Description
VectorJaccardSimilarity(FastPreferenceData<?,?> data, boolean dense) Constructor.

Method Summary

Modifier and Type	Method and Description
protected double	sim(double product, double norm2A, double norm2B) Calculates the similarity value.

Methods inherited from class es.uam.eps.ir.ranksys.nn.sim.VectorSimilarity

similarElems, similarity

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface es.uam.eps.ir.ranksys.nn.sim.Similarity

similarity

Constructor Detail

VectorJaccardSimilarity

public VectorJaccardSimilarity(FastPreferenceData<?,?> data,
                               boolean dense)

Constructor.

Parameters:

data - preference data

dense - true for array-based calculations, false to map-based

Method Detail

sim

protected double sim(double product,
                     double norm2A,
                     double norm2B)

Description copied from class: VectorSimilarity

Calculates the similarity value.

Specified by:

sim in class VectorSimilarity

Parameters:

product - value of the inner product of vectors

norm2A - square of the norm of the first vector

norm2B - square of the norm of the second vector

Returns:

similarity value