Ontology-Based Tourism for All Recommender and Information Retrieval System for Interactive Community Displays

Egileak: Kevin Alonso, Mikel Zorrilla, Hasier Iñán, Manuel Palau, Roberto Confalonieri, Jesús Vázquez-Salceda, Javi Calle, Elena Castro

Data: 26.06.2012


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Abstract

This paper presents a multi-stage ontology-based touristic recommender system which offers: personalized suggestions to citizens and tourists, including those with special needs; and information concerning the suggested locations. The system´s suggestions are based on user profiles which are continuously updated via feedback obtained from past interactions. Users’ preferences are deducted by means of profiles and they are used to create and to send queries to heterogeneous information sources. The results are ranked and presented to the user along with related information.

BIB_text

@Article {
author = {Kevin Alonso, Mikel Zorrilla, Hasier Iñán, Manuel Palau, Roberto Confalonieri, Jesús Vázquez-Salceda, Javi Calle, Elena Castro},
title = {Ontology-Based Tourism for All Recommender and Information Retrieval System for Interactive Community Displays},
pages = {650-655},
volume = {3},
keywds = {

Recommender System; Ontology; Tourism; Information Retrieval;


}
abstract = {

This paper presents a multi-stage ontology-based touristic recommender system which offers: personalized suggestions to citizens and tourists, including those with special needs; and information concerning the suggested locations. The system´s suggestions are based on user profiles which are continuously updated via feedback obtained from past interactions. Users’ preferences are deducted by means of profiles and they are used to create and to send queries to heterogeneous information sources. The results are ranked and presented to the user along with related information.


}
isbn = {978-89-88678-69-5},
isi = {1},
date = {2012-06-26},
year = {2012},
}
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