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dc.contributor.authorKaya, Tuğçe Süheyla
dc.contributor.authorGülseçen, Sevinç
dc.contributor.authorGezer, Murat
dc.date.accessioned2021-03-05T14:37:36Z
dc.date.available2021-03-05T14:37:36Z
dc.date.issued2021
dc.identifier.citationKaya T. S. , Gezer M., Gülseçen S., "Application of Recommender System for Spending Habits Based Campaign Management", Proceedings, cilt.74, sa.1, ss.1-7, 2021
dc.identifier.othervv_1032021
dc.identifier.otherav_b819a937-9677-46de-b0dd-02f4c23c78ad
dc.identifier.urihttp://hdl.handle.net/20.500.12627/122494
dc.identifier.urihttps://avesis.istanbul.edu.tr/api/publication/b819a937-9677-46de-b0dd-02f4c23c78ad/file
dc.identifier.urihttps://doi.org/10.3390/proceedings2021074007
dc.description.abstractNowadays, banks are working on finding a suitable campaign for every customer profile. With this study, we aimed to develop a recommendation system that will direct the customer to the appropriate campaign. With the data received from a private bank, credit card transactions of the users were analyzed, and spending habits were modeled. We aimed to recommend the most suitable campaign to the users through the created models. Within the scope of the study, 662.088 credit card transactions performed by 4997 customers within three months were analyzed, and three campaigns were proposed for each customer as a result of the study. The ALS (Alternating Least Square) algorithm was used on Spark to establish the recommendation system. The primary purpose of the study is to increase customer satisfaction by finding unique users based on spending habits instead of campaigns that are applied collectively to customers by making a personalized campaign offer.
dc.language.isoeng
dc.subjectDiğer
dc.subjectBilgisayar Bilimleri
dc.subjectYapay Zeka, Bilgisayarda Öğrenme ve Örüntü Tanıma
dc.subjectMühendislik ve Teknoloji
dc.subjectInformation Systems and Management
dc.subjectLibrary and Information Sciences
dc.subjectArtificial Intelligence
dc.subjectGeneral Computer Science
dc.subjectComputer Science (miscellaneous)
dc.subjectComputer Vision and Pattern Recognition
dc.subjectComputer Science Applications
dc.subjectSocial Sciences & Humanities
dc.subjectPhysical Sciences
dc.subjectSosyal ve Beşeri Bilimler
dc.subjectEnformatik
dc.subjectBİLGİ BİLİMİ VE KÜTÜPHANE BİLİMİ
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.subjectSosyal Bilimler Genel
dc.subjectBilgisayar Bilimi
dc.subjectSosyal Bilimler (SOC)
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.titleApplication of Recommender System for Spending Habits Based Campaign Management
dc.typeMakale
dc.relation.journalProceedings
dc.contributor.departmentİstanbul Üniversitesi , Fen Bilimleri Enstitüsü , Enformatik Bölümü
dc.identifier.volume74
dc.identifier.issue1
dc.identifier.startpage1
dc.identifier.endpage7
dc.contributor.firstauthorID2527762


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