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Uplift modeling using the transformed outcome approach

dc.contributor.authorPinheiro, Paulo
dc.contributor.authorCavique, Luís
dc.date.accessioned2023-01-05T07:56:50Z
dc.date.available2023-01-05T07:56:50Z
dc.date.issued2022
dc.descriptionEPIA 2022. Conferência Internacional, realizada em Lisboa, Portugal, de 31 de agosto a 2 de setembro de 2022.pt_PT
dc.description.abstractChurn and how to deal with it is an essential issue in the telecommunications sector. Within the scope of actionable knowledge, we argue that it is crucial to find effective personalized interventions that can lead to a reduction in dropouts and that, at the same time, make it possible to determine the causal effect of these interventions. Considering an intervention that encourages clients to opt for a longer-term contract for benefits, we used Uplift modeling and the Transformed Outcome Approach as a machine learning-based technique for individual-level prediction. The result is actionable profiles of persuadable customers that increase retention and strike the right balance between the campaign budget.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-031-16474-3_51pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/13024
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectUplift modellingpt_PT
dc.subjectCausal effectpt_PT
dc.subjectDecision treespt_PT
dc.subjectTransformed outcome approachpt_PT
dc.titleUplift modeling using the transformed outcome approachpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboapt_PT
oaire.citation.endPage635pt_PT
oaire.citation.startPage623pt_PT
oaire.citation.title21st EPIA .Conference on Artificial Intelligencept_PT
oaire.citation.volume13566pt_PT
person.familyNameNUNES PINHEIRO
person.familyNameCavique
person.givenNamePAULO SÉRGIO
person.givenNameLuís
person.identifier.ciencia-id061A-9AE9-D804
person.identifier.ciencia-id911E-84AC-3956
person.identifier.orcid0000-0002-8912-2244
person.identifier.orcid0000-0002-5590-1493
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd222d7a3-c125-4f1f-ab1b-ae2f97606f81
relation.isAuthorOfPublication40906a16-46a2-42f1-b26d-7db7012294ee
relation.isAuthorOfPublication.latestForDiscovery40906a16-46a2-42f1-b26d-7db7012294ee

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