Acceso usuarios
Purpose: Develop a rule-based expert system to guide the users of the tourist corridor of the provinces of Jaén, San Ignacio and Utcubamba (Peru).
Theoretical framework: Hussein and Aqel (2015), developed a rule-based expert system in Jordan to choose the best tour package based on time, budget, and preferences. In Peru, Ramos and Valdivia (2017), proposed an expert system to promote tourism in the Lambayeque region.
Methodology: To develop the system, the methodology of Nicolás Kemper was used. Tourism experts from the provinces participated in the development of the knowledge base. The evaluation was carried out with an expert different from those who prepared the aforementioned base.
Findings: In the evaluation, the expert system and the human expert agreed on the recommendation of tourist attractions by 80%. Concluding that this system helps tourists in making decisions about which places to visit in the tourist corridor.
Contributions: The system helps improve the dissemination of local tourist information. To develop the knowledge base, tourism resources were systematized. New variables can be incorporated into the knowledge base in order to obtain more personalized tourist recommendations.
Originality/value: This research is innovative because there is no expert system to guide tourists who want to travel to these places; it has social relevance as it helps to boost the local economy.
Purpose: Develop a rule-based expert system to guide the users of the tourist corridor of the provinces of Jaén, San Ignacio and Utcubamba (Peru).
Theoretical framework: Hussein and Aqel (2015), developed a rule-based expert system in Jordan to choose the best tour package based on time, budget, and preferences. In Peru, Ramos and Valdivia (2017), proposed an expert system to promote tourism in the Lambayeque region.
Methodology: To develop the system, the methodology of Nicolás Kemper was used. Tourism experts from the provinces participated in the development of the knowledge base. The evaluation was carried out with an expert different from those who prepared the aforementioned base.
Findings: In the evaluation, the expert system and the human expert agreed on the recommendation of tourist attractions by 80%. Concluding that this system helps tourists in making decisions about which places to visit in the tourist corridor.
Contributions: The system helps improve the dissemination of local tourist information. To develop the knowledge base, tourism resources were systematized. New variables can be incorporated into the knowledge base in order to obtain more personalized tourist recommendations.
Originality/value: This research is innovative because there is no expert system to guide tourists who want to travel to these places; it has social relevance as it helps to boost the local economy.
