Impact of Machine Learning in Digital Marketing Applications

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dc.contributor.authorGursoy, G.
dc.contributor.authorVarol, A.
dc.contributor.authorVarol, S.
dc.date.accessioned2024-07-12T21:40:42Z
dc.date.available2024-07-12T21:40:42Z
dc.date.issued2022en_US
dc.department[Belirlenecek]en_US
dc.description3rd International Informatics and Software Engineering Conference, IISEC 2022 -- 15 December 2022 through 16 December 2022 -- -- 185735en_US
dc.description.abstractThe devastating Covid 19 pandemic has shifted priorities in the business world to accommodate the new normal that the pandemic has caused. Digital marketing has become a necessity for corporations to keep up with the evolving needs of consumers. With the help of the emerging technologies, corporations have begun embracing tailored digital marketing applications that aim to attract and retain more consumers. The techniques or applications used by businesses to improve their marketing performance are consolidated and supported by artificial intelligence applications. In this study, we examine the significance of the marketing field and machine learning, as well as marketing techniques, artificial intelligence, and machine learning algorithms. As a result of the examinations, it has been shown how machine learning techniques and algorithms facilitate marketing processes, increase the profitability of businesses and it is very difficult to realize digital marketing without machine learning algorithms. © 2022 IEEE.en_US
dc.identifier.doi10.1109/IISEC56263.2022.9998211
dc.identifier.isbn9.78167E+12
dc.identifier.scopus2-s2.0-85146370616en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/IISEC56263.2022.9998211
dc.identifier.urihttps://hdl.handle.net/20.500.12415/7449
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof3rd International Informatics and Software Engineering Conference, IISEC 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY08793
dc.subjectE-Commerceen_US
dc.subjectMachine Learningen_US
dc.subjectMarketingen_US
dc.subjectUnsupervised Learningen_US
dc.titleImpact of Machine Learning in Digital Marketing Applicationsen_US
dc.typeConference Object
dspace.entity.typePublication

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