Personalized routes for mobile tourism

dc.contributor.author	Γαβαλάς, Δαμιανός	el
dc.contributor.author	Κεντέρης, Μιχάλης	el
dc.contributor.author	Κωνσταντόπουλος, Χαράλαμπος	el
dc.contributor.author	Πάντζιου, Γραμματή Ε.	el
dc.date.accessioned	2015-05-25T21:06:02Z
dc.date.issued	2015-05-26
dc.identifier.uri	http://hdl.handle.net/11400/11156
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://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6085385&abstractAccess=no&userType=inst	en
dc.subject	χρονοδρομολόγηση
dc.subject	διαχείριση χρόνου
dc.subject	ταξιδιωτική βιομηχανία
dc.subject	scheduling
dc.subject	Time management--Computer programs
dc.subject	travel industry
dc.title	Personalized routes for mobile tourism	en
heal.type	conferenceItem
heal.classification	Τεχνολογία
heal.classification	Πληροφορική
heal.classification	Technology
heal.classification	Computer science
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2008112895
heal.identifier.secondary	DOI: 10.1109/WiMOB.2011.6085385
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2011-10-10
heal.bibliographicCitation	Gavalas, D., Kenteris, M., Konstantopoulos, C. and Pantziou, G. (2011) Personalized routes for mobile tourism. 7th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob’2011). Wuhan: IEEE	en
heal.abstract	This paper deals with the problem of deriving personalized recommendations for daily sightseeing itineraries for tourists visiting any destination. Our approach considers selected places of interest that a traveler would potentially wish to visit and derives a near-optimal itinerary for each day of visit; the places of potential interest are selected based on stated or implied user preferences. Our method enables the planning of customized daily personalized tourist itineraries considering user preferences, time available for visiting sights in daily basis, opening days of sights and average visiting times for these sights. Herein, we propose a heuristic solution to this problem and discuss its implementation aspects.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	false
heal.conferenceName	7th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob’2011)	en
heal.conferenceItemType	short paper