An intelligent fuzzy-induced recommender system for cloud-based cultural communities

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dc.contributor.authorRavi, Logesh
dc.contributor.authorDevarajan, Malathi
dc.contributor.authorJeon, Gwanggil
dc.contributor.authorBayat, Oğuz
dc.contributor.authorSubramaniyaswamy, V.
dc.date.accessioned2021-05-15T12:50:03Z
dc.date.available2021-05-15T12:50:03Z
dc.date.issued2019
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractThe rapid development of communication technologies and web-based services generate a large amount of information. In recent years, recommender systems (RS) emerge as an effective mechanism to tackle the information overloading problems. By exploiting the cloud computing paradigm, RS discovers interesting new cultural items based on user preferences and interests. Recent investigations on RS reveal that employing social network data can yield enhanced personalised recommendations with better prediction accuracy. Since users tend to visit only conventional monuments, and many charming cultural items are hidden from them due to lack of awareness about the cultural sites. This article proposes a personalised recommendation model in the field of cultural heritage (CH) with the help of the cloud computing environment. The experimental results obtained demonstrate the improved performance of developed RS in the area of cultural heritage tourism services. Copyright © 2019 Inderscience Enterprises Ltd.en_US
dc.description.sponsorshipScience and Engineering Research Board, SERB Department of Science and Technology, Government of West Bengal, DST: YSS/2014/000718/ES SASTRA Universityen_US
dc.description.sponsorshipThe authors are grateful to the Science and Engineering Research Board (SERB), Department of Science & Technology, New Delhi, for the financial support (No. YSS/2014/000718/ES). Authors express their gratitude to the SASTRA Deemed University, Thanjavur, for providing the infrastructural facilities to carry out this research work.en_US
dc.identifier.doi10.1504/IJWBC.2019.101814
dc.identifier.endpage288en_US
dc.identifier.issn1477-8394
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85071446261
dc.identifier.scopusqualityQ2
dc.identifier.startpage271en_US
dc.identifier.urihttps://doi.org/10.1504/IJWBC.2019.101814
dc.identifier.urihttps://hdl.handle.net/20.500.12939/1172
dc.identifier.volume15en_US
dc.indekslendigikaynakScopus
dc.institutionauthorBayat, Oğuz
dc.language.isoen
dc.publisherInderscience Publishersen_US
dc.relation.ispartofInternational Journal of Web Based Communities
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCloud Computingen_US
dc.subjectCultural Heritageen_US
dc.subjectFuzzy-KNNen_US
dc.subjectLBSNen_US
dc.subjectLocation-Based Social Networken_US
dc.subjectPersonalised Recommender Systemen_US
dc.titleAn intelligent fuzzy-induced recommender system for cloud-based cultural communities
dc.typeArticle

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