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

Class VectorCosineUserSimilarity<U>

java.lang.Object

es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity<U>

es.uam.eps.ir.ranksys.nn.user.sim.VectorCosineUserSimilarity<U>

Type Parameters:

U - type of the users

All Implemented Interfaces:

UserIndex<U>, FastUserIndex<U>, Similarity

public class VectorCosineUserSimilarity<U>
extends UserSimilarity<U>

Vector cosine user similarity. See VectorCosineSimilarity.

Author:

Saúl Vargas (saul.vargas@uam.es)

Field Summary

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

sim, uIndex

Constructor Summary

Constructors

Constructor and Description
VectorCosineUserSimilarity(FastPreferenceData<U,?> data, double alpha, boolean dense) Constructor.

Method Summary

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

numUsers, similarElems, similarity, similarity, similarity, similarity, similarUsers, similarUsers, uidx2user, user2uidx

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.fast.index.FastUserIndex

containsUser, getAllUidx, getAllUsers, uidx2user, uidx2user, user2uidx, user2uidx

Constructor Detail

VectorCosineUserSimilarity

public VectorCosineUserSimilarity(FastPreferenceData<U,?> data,
                                  double alpha,
                                  boolean dense)

Constructor.

Parameters:

data - preference data

alpha - asymmetry factor, set to 0.5 to standard cosine.

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