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Visit Planner: A Personalized Mobile Trip Design Application based on a Hybrid Recommendation Model
Computer Science and Information Systems, Tome 21 (2024) no. 3 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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The paper presents Visit Planner (ViP), a mobile application prototype that provides a solution to the challenging tourist trip design problem. ViP follows a holistic approach offering personalized recommendations for Points of Interest (POIs) based on preferences either explicitly collected by the application, or inferred by the users’ ongoing interaction with the system. ViP proposes to the final user, a trajectory of POIs calculated using an Expectation Maximization method that maximizes user satisfaction taking into consideration a variety of time and spatial constraints for both users and POIs. Additionally, POIs are divided into categories, so that a certain number of POIs from each category to be included in the final itinerary. The application is implemented as a user-interactive system that allows the flexibility for easy content adaptation and facilitates management of content and services by the user. The prototype has been implemented for Android-based smartphones, on an open application environment, using standard communication protocols and open database technology. Currently, it is applied to the city of Agios Nikolaos in Crete, and is available for download from Google play.
Keywords: Mobile application, Recommendation system, Personalized tour itinerary, Expectation maximization Content-based, Collaborative-filtering 
@article{CSIS_2024_21_3_a11,
     author = {Harris Papadakis and Costas Panagiotakis and Paraskevi Fragopoulou and Georgios Chalkiadakis and Errikos Streviniotis and Ioannis-Panagiotis Ziogas and Michail Koutsmanis and Panagiotis Bariamis},
     title = {Visit {Planner:} {A} {Personalized} {Mobile} {Trip} {Design} {Application} based on a {Hybrid} {Recommendation} {Model}},
     journal = {Computer Science and Information Systems},
     year = {2024},
     volume = {21},
     number = {3},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2024_21_3_a11/}
}
TY  - JOUR
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AU  - Costas Panagiotakis
AU  - Paraskevi Fragopoulou
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AU  - Ioannis-Panagiotis Ziogas
AU  - Michail Koutsmanis
AU  - Panagiotis Bariamis
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%0 Journal Article
%A Harris Papadakis
%A Costas Panagiotakis
%A Paraskevi Fragopoulou
%A Georgios Chalkiadakis
%A Errikos Streviniotis
%A Ioannis-Panagiotis Ziogas
%A Michail Koutsmanis
%A Panagiotis Bariamis
%T Visit Planner: A Personalized Mobile Trip Design Application based on a Hybrid Recommendation Model
%J Computer Science and Information Systems
%D 2024
%V 21
%N 3
%U http://geodesic.mathdoc.fr/item/CSIS_2024_21_3_a11/
%F CSIS_2024_21_3_a11
Harris Papadakis; Costas Panagiotakis; Paraskevi Fragopoulou; Georgios Chalkiadakis; Errikos Streviniotis; Ioannis-Panagiotis Ziogas; Michail Koutsmanis; Panagiotis Bariamis. Visit Planner: A Personalized Mobile Trip Design Application based on a Hybrid Recommendation Model. Computer Science and Information Systems, Tome 21 (2024) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2024_21_3_a11/