Heuristics: intelligent search strategies for computer problem solving
Heuristics: intelligent search strategies for computer problem solving
Developing a context-aware electronic tourist guide: some issues and experiences
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Recommending a Trip Plan by Negotiation with a Software Travel Agent
CIA '01 Proceedings of the 5th International Workshop on Cooperative Information Agents V
Ubiquitous User Assistance in a Tourist Information Server
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Traveling Salesman Problems with Profits
Transportation Science
samap: An user-oriented adaptive system for planning tourist visits
Expert Systems with Applications: An International Journal
Ontology based personalized route planning system using a multi-criteria decision making approach
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
Personalized Location-Based Recommendation Services for Tour Planning in Mobile Tourism Applications
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
Design and implementation of a tour planning system for telematics users
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
The City Trip Planner: An expert system for tourists
Expert Systems with Applications: An International Journal
Personalization method for tourist point of interest (POI) recommendation
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
A method to plan group tours with joining and forking
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
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
Tour suggestion for outdoor activities
W2GIS'13 Proceedings of the 12th international conference on Web and Wireless Geographical Information Systems
Review: Mobile recommender systems in tourism
Journal of Network and Computer Applications
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When tourists visit a city or region, they cannot visit every point of interest available, as they are constrained in time and budget. Tourist recommender applications help tourists by presenting a personal selection. Providing adequate tour scheduling support for these kinds of applications is a daunting task for the application developer. The objective of this paper is to demonstrate how existing models from the field of Operations Research (OR) fit this scheduling problem, and enable a wide range of tourist trip planning functionalities. Using the Orienteering Problem (OP) and its extensions to model the tourist trip planning problem, allows to deal with a vast number of practical planning problems.