Image-based Travel Recommender System for small tourist destinations
Egileak: María Teresa Linaza and Amaia Aguirregoikoa and Ander García and Jose Ignacio Torres and Kepa Aranburu
Data: 24.01.2011
Abstract
Most tour planning systems have similar three-step structures: definition of the tourist profile, evaluation of the Points of Interest (PoI), and rout optimization. Having in mind that a picture paints a thousand words, this paper describes an approach that allows tourists specify their interests through a set of images, from which the system inferences their profile. Taken into account the choices made by the visitor, the system infers a dynamic profile. Furthermore, the system calculates a list of resources that match the profile with the destination tourist resources. Each resource is associated with a weight which indicates the utility of that resource tot he profile of the visitor. Thus, visitors obtain personalized tourism recommendations based on their preferences as a result.
BIB_text
@Article {
author = {María Teresa Linaza and Amaia Aguirregoikoa and Ander García and Jose Ignacio Torres and Kepa Aranburu},
title = {Image-based Travel Recommender System for small tourist destinations},
pages = {01-dic},
keywds = {
image-based profiling; travel recommender system; route planning
}
abstract = {
Most tour planning systems have similar three-step structures: definition of the tourist profile, evaluation of the Points of Interest (PoI), and rout optimization. Having in mind that a picture paints a thousand words, this paper describes an approach that allows tourists specify their interests through a set of images, from which the system inferences their profile. Taken into account the choices made by the visitor, the system infers a dynamic profile. Furthermore, the system calculates a list of resources that match the profile with the destination tourist resources. Each resource is associated with a weight which indicates the utility of that resource tot he profile of the visitor. Thus, visitors obtain personalized tourism recommendations based on their preferences as a result.
}
isbn = {978-3-7091-0502-2},
date = {2011-01-24},
year = {2011},
}
author = {María Teresa Linaza and Amaia Aguirregoikoa and Ander García and Jose Ignacio Torres and Kepa Aranburu},
title = {Image-based Travel Recommender System for small tourist destinations},
pages = {01-dic},
keywds = {
image-based profiling; travel recommender system; route planning
}
abstract = {
Most tour planning systems have similar three-step structures: definition of the tourist profile, evaluation of the Points of Interest (PoI), and rout optimization. Having in mind that a picture paints a thousand words, this paper describes an approach that allows tourists specify their interests through a set of images, from which the system inferences their profile. Taken into account the choices made by the visitor, the system infers a dynamic profile. Furthermore, the system calculates a list of resources that match the profile with the destination tourist resources. Each resource is associated with a weight which indicates the utility of that resource tot he profile of the visitor. Thus, visitors obtain personalized tourism recommendations based on their preferences as a result.
}
isbn = {978-3-7091-0502-2},
date = {2011-01-24},
year = {2011},
}
