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

Class SetCosineUserSimilarity<U>

java.lang.Object

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

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

Type Parameters:

U - type of the users

All Implemented Interfaces:

UserIndex<U>, FastUserIndex<U>, Similarity

public class SetCosineUserSimilarity<U>
extends UserSimilarity<U>

Set cosine user similarity. See SetCosineSimilarity.

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
SetCosineUserSimilarity(FastPreferenceData<U,?> recommenderData, 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

SetCosineUserSimilarity

public SetCosineUserSimilarity(FastPreferenceData<U,?> recommenderData,
                               double alpha,
                               boolean dense)

Constructor.

Parameters:

recommenderData - preference data

alpha - asymmetry of the similarity, set to 0.5 for standard cosine

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