Mobile recommender systems in tourism

dc.contributor.author	Γαβαλάς, Δαμιανός	el
dc.contributor.author	Κωνσταντόπουλος, Χαράλαμπος Γ.	el
dc.contributor.author	Μαστάκας, Κωνσταντίνος	el
dc.contributor.author	Πάντζιου, Γραμματή Ε.	el
dc.date.accessioned	2015-06-10T16:08:35Z
dc.date.available	2015-06-10T16:08:35Z
dc.date.issued	2015-06-10
dc.identifier.uri	http://hdl.handle.net/11400/15646
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.sciencedirect.com/science/article/pii/S1084804513001094	en
dc.subject	Πλαίσιο για την ευαισθητοποίηση
dc.subject	Τοποθεσία ευαισθητοποίησης
dc.subject	Κινητά συστήματα συστάσεων
dc.subject	Κινητός τουρισμός
dc.subject	Εξατομικεύσεις
dc.subject	Context-awareness
dc.subject	Location awareness
dc.subject	Mobile recommender systems
dc.subject	Mobile tourism
dc.subject	Personalizations
dc.title	Mobile recommender systems in tourism	en
heal.type	journalArticle
heal.classification	Πληροφορική
heal.classification	Ηλεκτρονικοί υπολογιστές, Δίκτυα
heal.classification	Computer science
heal.classification	Computer networks
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	N/A-Ηλεκτρονικοί υπολογιστές, Δίκτυα
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	http://skos.um.es/unescothes/C00744
heal.identifier.secondary	DOI: 10.1016/j.jnca.2013.04.006
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2014-03
heal.bibliographicCitation	Gavalas, D., Konstantopoulos, C., Mastakas, K. and Pantziou, G. (2014) Mobile recommender systems in tourism. Journal of Network and Computer Applications. [Online] 39 (1), pp.319-333. Available from: http://www.sciencedirect.com [Accessed 10/06/2015]	en
heal.abstract	Recommender Systems (RSs) have been extensively utilized as a means of reducing the information overload and offering travel recommendations to tourists. The emerging mobile RSs are tailored to mobile device users and promise to substantially enrich tourist experiences, recommending rich multimedia content, context-aware services, views/ratings of peer users, etc. New developments in mobile computing, wireless networking, web technologies and social networking leverage massive opportunities to provide highly accurate and effective tourist recommendations that respect personal preferences and capture usage, personal, social and environmental contextual parameters. This article follows a systematic approach in reviewing the state-of-the-art in the field, proposing a classification of mobile tourism RSs and providing insights on their offered services. It also highlights challenges and promising research directions with respect to mobile RSs employed in tourism.	en
heal.publisher	Elsevier	en
heal.journalName	Journal of Network and Computer Applications	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true