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Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks

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dc.contributor.authorTurk, Ahmet Murat
dc.contributor.authorBilge, Alper
dc.contributor.orcid0000-0001-8175-9454
dc.contributor.orcid0000-0003-3467-9915
dc.date.accessioned2025-11-13T09:33:12Z
dc.date.issued2018-08-02
dc.identifier.doihttps://doi.org/10.1016/j.eswa.2018.08.001
dc.identifier.endpage402
dc.identifier.issn0957-4174
dc.identifier.openalexW2885172183
dc.identifier.startpage386
dc.identifier.urihttps://hdl.handle.net/11421/1467
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2018.08.001
dc.identifier.volume115
dc.language.isoen
dc.relation.ispartofExpert Systems with Applications
dc.rightsrestrictedAccess
dc.subjectComputer science
dc.subjectCollaborative filtering
dc.subjectRecommender system
dc.subjectRobustness (evolution)
dc.subjectMovieLens
dc.subjectSimilarity (geometry)
dc.subjectScheme (mathematics)
dc.subjectProcess (computing)
dc.subjectData mining
dc.subjectPreference
dc.subjectMachine learning
dc.subjectArtificial intelligence
dc.subject.sdg16
dc.titleRobustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5074536836
local.authorid.openalexA5042038212

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