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dc.contributor.authorMochón, Francisco
dc.contributor.authorGonzalvez-Cabañas, J.C.
dc.date2016
dc.date.accessioned2020-06-22T08:13:09Z
dc.date.available2020-06-22T08:13:09Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10199
dc.description.abstractThis paper analyses how new technological developments and the possibilities generated by the internet are shaping the online advertising market. More specifically it focuses on a programmatic advertising case study. The origin of the problem is how publishers resort to automated buying and selling when trying to shift unsold inventory. To carry out our case study, we will use a programmatic online advertising sales platform, which identifies the optimal way of promoting a given product. The platform executes, evaluates, manages and optimizes display advertising campaigns, all in real-time. The empirical analysis carried out in the case study reveals that the platform and its exclusion algorithms are suitable mechanisms for analysing the performance and efficiency of the various segments that might be used to promote products. Thanks to Big Data tools and artificial intelligence the platform performs automatically, providing information in a user-friendly and simple manner.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 3, nº 6
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/2531es_ES
dc.rightsopenAccesses_ES
dc.subjecte-commercees_ES
dc.subjectbig dataes_ES
dc.subjectonlinees_ES
dc.subjectreal-time biddinges_ES
dc.subjectIJIMAIes_ES
dc.titleOperating an Advertising Programmatic Buying Platform: A Case Studyes_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2016.361


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