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dc.contributor.authorAkbulut, Akhan
dc.contributor.authorÇatal, Çağatay
dc.contributor.authorPatlak Akbulut, Fatma
dc.date.accessioned2019-06-13T08:53:02Z
dc.date.available2019-06-13T08:53:02Z
dc.date.issued2017-10
dc.identifier28tr_TR
dc.identifier28tr_TR
dc.identifier28tr_TR
dc.identifier.citation10tr_TR
dc.identifier.urihttps://hdl.handle.net/11413/4846
dc.description.abstractCloud computing delivers resources such as software, data, storage and servers over the Internet; its adaptable infrastructure facilitates on-demand access of computational resources. There are many benefits of cloud computing such as being scalable, paying only for consumption, improving accessibility, limiting investment costs and being environmentally friendly. Thus, many organizations have already started applying this technology to improve organizational efficiency. In this study, we developed a cloud-based book recommendation service that uses a principle component analysis–scale-invariant feature transform (PCA-SIFT) feature detector algorithm to recommend book(s) based on a user-uploaded image of a book or collection of books. The high dimensionality of the image is reduced with the help of a principle component analysis (PCA) pre-processing technique. When the mobile application user takes a picture of a book or a collection of books, the system recognizes the image(s) and recommends similar books. The computational task is performed via the cloud infrastructure. Experimental results show the PCA-SIFT-based cloud recommendation service is promising; additionally, the application responds faster when the pre-processing technique is integrated. The proposed generic cloud-based recommendation system is flexible and highly adaptable to new environments.tr_TR
dc.language.isoen_UStr_TR
dc.relationNeural Computing and Applicationstr_TR
dc.subjectÖzellik Seçimitr_TR
dc.subjectÖzellik Çıkarmatr_TR
dc.subjectNesne Tanımatr_TR
dc.subjectBulut Bilişimtr_TR
dc.subjectÖneri Sistemitr_TR
dc.subjectFeature Selectiontr_TR
dc.subjectFeature Extractiontr_TR
dc.subjectObject Recognitiontr_TR
dc.subjectCloud Computingtr_TR
dc.subjectRecommendation Systemtr_TR
dc.titleA cloud-based recommendation service using principle component analysis–scale-invariant feature transform algorithmtr_TR
dc.typeArticletr_TR
dc.contributor.authorID116056tr_TR
dc.contributor.authorID108363
dc.contributor.authorID299243
dc.identifier.wos000426865100003
dc.identifier.wos426865100003en
dc.identifier.scopus2-s2.0-85009915374
dc.identifier.scopus2-s2.0-85009915374en


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