Tourist Trip Planning Functionalities: State–of–the–Art and Future
Identifieur interne : 000C44 ( Main/Exploration ); précédent : 000C43; suivant : 000C45Tourist Trip Planning Functionalities: State–of–the–Art and Future
Auteurs : Wouter Souffriau [Belgique] ; Pieter Vansteenwegen [Belgique]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: 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.
Url:
DOI: 10.1007/978-3-642-16985-4_46
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: 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.</div>
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