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Robustness analysis of arbitrarily distributed data-based recommendation methods

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dc.contributor.authorÇABUK, ALPER
dc.contributor.authorKaleli, Cihan
dc.contributor.orcid0000-0001-8917-6499
dc.contributor.orcid0000-0001-6769-4594
dc.date.accessioned2025-11-13T10:15:52Z
dc.date.issued2015-09-26
dc.identifier.doihttps://doi.org/10.1016/j.eswa.2015.09.012
dc.identifier.endpage229
dc.identifier.issn0957-4174
dc.identifier.openalexW2151441002
dc.identifier.startpage217
dc.identifier.urihttps://hdl.handle.net/11421/3621
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2015.09.012
dc.identifier.volume44
dc.language.isoen
dc.relation.ispartofExpert Systems with Applications
dc.rightsrestrictedAccess
dc.subjectComputer science
dc.subjectRobustness (evolution)
dc.subjectRecommender system
dc.subjectPartition (number theory)
dc.subjectData mining
dc.subjectConfidentiality
dc.subjectPrivate information retrieval
dc.subjectComputer security
dc.subjectDistributed computing
dc.subjectInformation retrieval
dc.subject.sdg17
dc.titleRobustness analysis of arbitrarily distributed data-based recommendation methods
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5014108503
local.authorid.openalexA5026376549

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