Modern Information Retrieval
samap: An user-oriented adaptive system for planning tourist visits
Expert Systems with Applications: An International Journal
A Personalized Tourist Trip Design Algorithm For Mobile Tourist Guides
Applied Artificial Intelligence
Building an expert travel agent as a software agent
Expert Systems with Applications: An International Journal
Ontological recommendation multi-agent for Tainan City travel
Expert Systems with Applications: An International Journal
Iterated local search for the team orienteering problem with time windows
Computers and Operations Research
A Mobile Tourist Decision Support System for Small Footprint Devices
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
A Path Relinking approach for the Team Orienteering Problem
Computers and Operations Research
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
A probabilistic heuristic for a computationally difficult set covering problem
Operations Research Letters
Tourist trip planning functionalities: state-of-the-art and future
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
Context-aware and multilingual information extraction for a tourist recommender system
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
Turist@: Agent-based personalised recommendation of tourist activities
Expert Systems with Applications: An International Journal
Entertainment on the go: finding things to do and see while visiting distributed events
Proceedings of the 4th Information Interaction in Context Symposium
SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities
Engineering Applications of Artificial Intelligence
Integrating public transportation in personalised electronic tourist guides
Computers and Operations Research
A genetic algorithm vs. local search methods for solving the orienteering problem in large networks
KES'12 Proceedings of the 16th international conference on Knowledge Engineering, Machine Learning and Lattice Computing with Applications
Where shall we go today?: planning touristic tours with tripbuilder
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
PLATIS: a personalized location-aware tourist information system
Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Multi-day and multi-stay travel planning using geo-tagged photos
Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
Review: Mobile recommender systems in tourism
Journal of Network and Computer Applications
| Hi-index | 12.05 |
Over the last few years, advanced digital applications have become available to tourists. Some of these offer the possibility of creating personalised routes. This paper introduces a tourist expert system, called the City Trip Planner, that allows planning routes for five cities in Belgium. It is implemented as a web application that takes into account the interests and trip constraints of the user and matches these to a database of locations in order to predict personal interests. A fast and effective planning algorithm provides an on-the-fly suggestion of a personal trip for a requested number of days, taking into account opening hours of attractions and time for a (lunch) break. The expert system is discussed in detail. Usage statistics and user feedback demonstrate that it is highly appreciated by tourists.