Geodesic
Tourist services management through clients scoring using a bio-inspired agent architecture
Computer Science and Information Systems, Tome 21 (2024) no. 4 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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Tourism has become an economic engine for several countries during the last decades. Each time more and more individuals consider visiting other places during their vacation period. These places cover very different options, from the typical beach and mountain tourism to the less common urban and cultural trips. These travels hoard multiple transport means and facilities in the destination place that have to be correctly managed. Therefore, the rise of automatic systems to address the related operations and processes is a crucial issue nowadays. These systems are usually focused on the final users (the tourists) and make recommendations about their available possibilities. However, it is not easy to find a multi-purpose recommendation system covering all the needs from the perspective of the travel agency. In this paper, a complete framework called Pharaoh able to make recommendations to customers covering the final user perspective, and to provide support to the travel agents, is presented. This assistance filters the best travel, accommodation, and activity options according to the desires of the customers. This novel functionality allows selecting the customer with the best propensity to book a tourist service. This workload is distributed using a bio-inspired Multi-Agent System (MAS). Moreover, Pharaoh considers the feedback from clients after the completion of the tourist opportunity to improve future recommendations. Several experiments in real environments have been addressed to show the viability of the proposal. It can be concluded that the system enhances the quality of the service provided by the travel agency and its profits.
Keywords: Tourism, Recommendation system, Propensity assessment, Intelligent agents, Smart assistant framework 
@article{CSIS_2024_21_4_a5,
     author = {Ra\'ul Moreno and Alberto Fern\'andez-Isabel and V{\i}́ctor Ace\~na and Isaac Mart{\i}́n de Diego and Javier M. Moguerza},
     title = {Tourist services management through clients scoring using a bio-inspired agent architecture},
     journal = {Computer Science and Information Systems},
     year = {2024},
     volume = {21},
     number = {4},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a5/}
}
TY  - JOUR
AU  - Raúl Moreno
AU  - Alberto Fernández-Isabel
AU  - Vı́ctor Aceña
AU  - Isaac Martı́n de Diego
AU  - Javier M. Moguerza
TI  - Tourist services management through clients scoring using a bio-inspired agent architecture
JO  - Computer Science and Information Systems
PY  - 2024
VL  - 21
IS  - 4
UR  - http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a5/
ID  - CSIS_2024_21_4_a5
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%A Raúl Moreno
%A Alberto Fernández-Isabel
%A Vı́ctor Aceña
%A Isaac Martı́n de Diego
%A Javier M. Moguerza
%T Tourist services management through clients scoring using a bio-inspired agent architecture
%J Computer Science and Information Systems
%D 2024
%V 21
%N 4
%U http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a5/
%F CSIS_2024_21_4_a5
Raúl Moreno; Alberto Fernández-Isabel; Vı́ctor Aceña; Isaac Martı́n de Diego; Javier M. Moguerza. Tourist services management through clients scoring using a bio-inspired agent architecture. Computer Science and Information Systems, Tome 21 (2024) no. 4. http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a5/