Automatic text processing
Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Developing a context-aware electronic tourist guide: some issues and experiences
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The role of adaptive hypermedia in a context-aware tourist GUIDE
Communications of the ACM - The Adaptive Web
Modern Information Retrieval
Gulliver's Genie: a multi-agent system for ubiquitous and intelligent content delivery
Computer Communications
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
Personalized tourist route generation
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
Electronic mobile guides: a survey
Personal and Ubiquitous Computing
The City Trip Planner: An expert system for tourists
Expert Systems with Applications: An International Journal
Natural language processing applied in itinerary recommender systems
ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science
Time-dependent personal tour planning and scheduling in metropolises
Expert Systems with Applications: An International Journal
Integrating public transportation in personalised electronic tourist guides
Computers and Operations Research
Tour suggestion for outdoor activities
W2GIS'13 Proceedings of the 12th international conference on Web and Wireless Geographical Information Systems
Where shall we go today?: planning touristic tours with tripbuilder
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Tourism Mobile Application Usability: The Case of iTicino
International Journal of E-Services and Mobile Applications
HotCity: enhancing ubiquitous maps with social context heatmaps
Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia
Customized tour recommendations in urban areas
Proceedings of the 7th ACM international conference on Web search and data mining
A two-stage approach to the orienteering problem with stochastic weights
Computers and Operations Research
Smart environment interaction: A user assessment of embedded agents
Journal of Ambient Intelligence and Smart Environments - Intelligent agents in Ambient Intelligence and smart environments
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Mobile tourist guides evolve towards automated personalized tour planning devices. The contribution of this article is to put forward a combined artificial intelligence and metaheuristic approach to solve tourist trip design problems (TTDP). The approach enables fast decision support for tourists on small footprint mobile devices. The orienteering problem, which originates in the operational research literature, is used as a starting point for modelling the TTDP. The problem involves a set of possible locations having a score and the objective is to maximize the total score of the visited locations, while keeping the total time (or distance) below the available time budget. The score of a location represents the interest of a tourist in that location. Scores are calculated using the vector space model, which is a well-known technique from the field of information retrieval. The TTDP is solved using a guided local search metaheuristic. In order to compare the performance of this approach with an algorithm that appeared in the literature, both are applied to a real data set from the city of Ghent. A collection of tourist points of interest with descriptions was indexed and subsequently queried with popular interests, which resulted in a test set of TTDPs. The approach presented in this article turns out to be faster and produces solutions of better quality.