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Location-based personalized recommender system in the internet of cultural things
, S Vairavasundaram, S Palani, M Devarajan
Published in IOS Press
2019
Volume: 36
   
Issue: 5
Pages: 4141 - 4152
Abstract
With the recent developments in digital technologies, the cultural heritage domain has attracted new researchers to drive technological trends for offering interactive and pleasant experience to users. The emergences of location-based services, recommendation systems, and the internet of things have created a smart research space to support cultural heritage visitors. In this paper, we present an intelligent cultural space through the development of proximity detection method and the deployment of smart sense bricks. The presented intelligent cultural space is supported by the CHXplorer-Information Management System to present multimedia content to the users through our CHXplorer mobile decision-support tool. The CHXplorer is designed to enhance the satisfaction and enjoyment of the user visiting the cultural heritage sites, and it is capable of generating personalized recommendations to the active target user. The effectiveness and efficiency of the presented CHXplorer are experimentally evaluated and user study made establishes the users' positive feedback on the system. © 2019 - IOS Press and the authors.
About the journal
JournalJournal of Intelligent \& Fuzzy Systems
PublisherIOS Press
ISSN10641246
Open AccessNo