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https://ruomo.lib.uom.gr/handle/7000/885
Πλήρης εγγραφή μεταδεδομένων
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Refanidis, Ioannis | - |
dc.contributor.author | Emmanouilidis, Christos | - |
dc.contributor.author | Sakellariou, Ilias | - |
dc.contributor.author | Alexiadis, Anastasios | - |
dc.contributor.author | Koutsiamanis, Remous-Aris | - |
dc.contributor.author | Agnantis, Konstantinos | - |
dc.contributor.author | Tasidou, Aimilia | - |
dc.contributor.author | Kokkoras, Fotios | - |
dc.contributor.author | Efraimidis, Pavlos S. | - |
dc.contributor.editor | Likas, A. | - |
dc.contributor.editor | Blekas, K. | - |
dc.contributor.editor | Kalles, D. | - |
dc.date.accessioned | 2021-04-03T06:05:32Z | - |
dc.date.available | 2021-04-03T06:05:32Z | - |
dc.date.issued | 2014-05 | - |
dc.identifier | 10.1007/978-3-319-07064-3_53 | en_US |
dc.identifier.isbn | 978-3-319-07063-6 | en_US |
dc.identifier.uri | https://doi.org/10.1007/978-3-319-07064-3_53 | en_US |
dc.identifier.uri | https://ruomo.lib.uom.gr/handle/7000/885 | - |
dc.description.abstract | This application paper presents MYVISITPLANNERGR, an intelligent web-based system aiming at mak-ing recommendations that help visitors and residents of the region of Northern Greece to plan their leisure, cultural and other activities during their stay in this area. The system encompasses a rich on-tology of activities, categorized across dimensions such as activity type, historical era, user profile and age group. Each activity is characterized by attributes describing its location, cost, availability and duration range. The system makes activity recommendations based on user-selected criteria, such as visit duration and timing, geographical areas of interest and visit profiling. The user edits the pro-posed list and the system creates a plan, taking into account temporal and geographical constraints imposed by the selected activities, as well as by other events in the user’s calendar. The user may edit the proposed plan or request alternative plans. A recommendation engine employs non-intrusive ma-chine learning techniques to dynamically infer and update the user’s profile, concerning his prefer-ences for both activities and resulting plans, while taking privacy concerns into account. The system is coupled with a module to semi-automatically feed its database with new activities in the area. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer International Publishing | en_US |
dc.relation.ispartofseries | Lecture Notes on Computer Science | en_US |
dc.subject | FRASCATI::Natural sciences::Computer and information sciences | en_US |
dc.subject.other | Activity Type | en_US |
dc.subject.other | User Profile | en_US |
dc.subject.other | Cultural Event | en_US |
dc.subject.other | Extraction Rule | en_US |
dc.subject.other | Meeting Schedule | en_US |
dc.title | myVisitPlannerGR: Personalized Itinerary Planning System for Tourism | en_US |
dc.type | Conference Paper | en_US |
dc.contributor.department | Τμήμα Εφαρμοσμένης Πληροφορικής | en_US |
local.identifier.volume | 8445 | en_US |
local.identifier.firstpage | 615 | en_US |
local.identifier.lastpage | 629 | en_US |
local.identifier.volumetitle | Artificial Intelligence: Methods and Applications. SETN 2014 | en_US |
local.identifier.eisbn | 978-3-319-07064-3 | en_US |
Εμφανίζεται στις Συλλογές: | Τμήμα Εφαρμοσμένης Πληροφορικής |
Αρχεία σε αυτό το Τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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myVisitPlanner - preprint.pdf | preprint | 619,23 kB | Adobe PDF | Προβολή/Ανοιγμα |
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