Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/885
Title: | myVisitPlannerGR: Personalized Itinerary Planning System for Tourism |
Authors: | Refanidis, Ioannis Emmanouilidis, Christos Sakellariou, Ilias Alexiadis, Anastasios Koutsiamanis, Remous-Aris Agnantis, Konstantinos Tasidou, Aimilia Kokkoras, Fotios Efraimidis, Pavlos S. |
Editors: | Likas, A. Blekas, K. Kalles, D. |
Type: | Conference Paper |
Subjects: | FRASCATI::Natural sciences::Computer and information sciences |
Keywords: | Activity Type User Profile Cultural Event Extraction Rule Meeting Schedule |
Issue Date: | May-2014 |
Publisher: | Springer International Publishing |
Volume: | 8445 |
First Page: | 615 |
Last Page: | 629 |
Volume Title: | Artificial Intelligence: Methods and Applications. SETN 2014 |
Part of Series: | Lecture Notes on Computer Science |
Part of Series: | Lecture Notes on Computer Science |
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. |
URI: | https://doi.org/10.1007/978-3-319-07064-3_53 https://ruomo.lib.uom.gr/handle/7000/885 |
ISBN: | 978-3-319-07063-6 |
Electronic ISBN: | 978-3-319-07064-3 |
Other Identifiers: | 10.1007/978-3-319-07064-3_53 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
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myVisitPlanner - preprint.pdf | preprint | 619,23 kB | Adobe PDF | View/Open |
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