Near-optimal personalized daily itineraries for a mobile tourist guide

dc.contributor.author	Κεντέρης, Μιχάλης	el
dc.contributor.author	Γαβαλάς, Δαμιανός	el
dc.contributor.author	Πάντζιου, Γραμματή Ε.	el
dc.contributor.author	Κωνσταντόπουλος, Χαράλαμπος	el
dc.date.accessioned	2015-05-26T19:20:32Z
dc.date.issued	2015-05-26
dc.identifier.uri	http://hdl.handle.net/11400/11204
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=5546761&abstractAccess=no&userType=inst	en
dc.subject	δρομολόγιο
dc.subject	Χάρτες
dc.subject	Κινητός Τουρισμός
dc.subject	προγραμματισμός της πορείας
dc.subject	Πρόβλημα ομάδας προσανατολισμού
dc.subject	Itinerary
dc.subject	Maps
dc.subject	Mobile Tourism
dc.subject	Route Planning
dc.subject	Team Orienteering Problem
dc.title	Near-optimal personalized daily itineraries for a mobile tourist guide	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.identifier.secondary	DOI: 10.1109/ISCC.2010.5546761
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	2010-06-22
heal.bibliographicCitation	Kenteris, M. Gavalas, D., Pantziou, G. and Konstantopoulos, C. (2010) Near-optimal personalized daily itineraries for a mobile tourist guide. Proceedings of the IEEE Symposium on Computers and Communications (ISCC'10). Riccione, Italy: IEEE	en
heal.abstract	This short 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 traveller 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. Herein, we propose a heuristic solution to this problem and discuss its implementation aspects.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	false
heal.conferenceName	Proceedings of the IEEE Symposium on Computers and Communications (ISCC'10)	en
heal.conferenceItemType	short paper