An intelligent fuzzy-induced recommender system for cloud-based cultural communities
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Tarih
2019
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Inderscience Publishers
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The 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.
Açıklama
Anahtar Kelimeler
Cloud Computing, Cultural Heritage, Fuzzy-KNN, LBSN, Location-Based Social Network, Personalised Recommender System
Kaynak
International Journal of Web Based Communities
WoS Q Değeri
Scopus Q Değeri
Q2
Cilt
15
Sayı
3
