e-Turist: An Intelligent Personalised Trip Guide

Božidara Cvetković, Hristijan Gjoreski, Vito Janko, Boštjan Kaluža, Anton Gradišek, Igor Jurinčič, Anton Gosar, Simon Kerma, Gregor Balažič, Mitja Luštrek


We present e-Turist, an intelligent system that helps tourists plan a personalised itinerary to a tourist area, taking into account individual’s preferences and limitations. After creating the route, e-Turist also offers real-time GPS guidance and audio description of points of interest visited. Here we focus on two main components, the recommender system and the route planning algorithm. We also present some use cases to highlight e-Turist functionalities in different configurations. 

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UNWTO 2016, http://media.unwto.org/press- release/2016-01-18/international-tourist-arrivals-4- reach-record-12-billion-2015

UNWTO Tourism Highlights, 2015 Edition

Knoema, https://knoema.com/atlas/topics/Tourism [4] Jennie Germann Molz, (2012). Travel connections:

tourism, technology and togetherness in a mobile

world. Routledge, New York.

Wouter Souffriau, Pieter Vansteenwegen, Tourist

Trip Planning Functionalities: State–of–the–Art and Future, Current Trends in Web Engineering, volume 6385 of Lecture Notes in Computer Science (2010) 474-485

Damianos Gavalas, Charalampo sKonstantopoulos, Konstantinos Mastakas, Grammati Pantziou, Mobile recommender systems in tourism, Journal of Network and Computer Applications 39 (2014) 319–333

Joan Borràs, Antonio Moreno, Aida Valls, Intelligent tourism recommender systems: A survey, Expert Systems with Applications 41 (2014) 7370–7389

Travelling salesman problem. http://en.wikipedia.org/wiki/Travelling_salesman_p roblem

Ander Garcia, Olatz Arbelaitz, Maria Teresa Linaza, Pieter Vansteenwegen, and Wouter Souffriau, Personalized Tourist Route Generation, ICWE 2010 Workshops, LNCS 6385, pp. 486–497, 2010. Springer-Verlag Berlin Heidelberg 2010s

TripAdvisor https://www.tripadvisor.com/ [11] Triposo, https://www.triposo.com/

Roadtrippers, https://roadtrippers.com/

Route Perfect, https://www.routeperfect.com/ [14] e-Turist, https://www.e-turist.si/

Igor Jurinčič, Anton Gosar, Mitja Luštrek, Boštjan Kaluža, Simon Kerma, Gregor Balažič, E-tourist : electronic mobile tourist guide. V: Peace, culture and tourism: collection of papers. Novi Sad: Faculty of Sciences, Department of Geography, Tourism and Hotel Management, 2013, str. 182- 191.

Amebis Govorec. http://govorec.amebis.si/

Microsoft Speech API, http://www.microsoft.com/

D. T. Larose. k-Nearest Neighbor Algorithm,

Discovering Knowledge in Data, pp. 90-106, John

Wiley & Sons, Inc, 2005.

Knapsack problem


Dynamic Programming Knapsack 0-1 Problem.



Breunig, M. M.; Kriegel, H.-P.; Ng, R. T.; Sander, J. (2000). "LOF: Identifying Density-based Local Outliers". Proceedings of the 2000 ACM SIGMOD international conference on Management of data.

SIGMOD '00: 93–104.

Travelling salesman problem, Python

implementation: https://github.com/dmishin/tsp- solver

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