On the exploitation of user personality in recommender systems

Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) Proceedings of the First International Workshop on Decision Making and Recommender Systems (DMRS2014)In this paper we revise the state of the art on personality-aware recommender systems, identifying main research trends and achievements up to date, and discussing open issues that may be addressed in the future.This work was supported by the Spanish Ministry of Science and Innovation (TIN2013-47090-C3-2)

Modeling tourists' personality in recommender systems: how does personality influence preferences for tourist attractions?

Personalization is increasingly being perceived as an important factor for the effectiveness of Recommender Systems (RS). This is especially true in the tourism domain, where travelling comprises emotionally charged experiences, and therefore, the more about the tourist is known, better recommendations can be made. The inclusion of psychological aspects to generate recommendations, such as personality, is a growing trend in RS and they are being studied to provide more personalized approaches. However, although many studies on the psychology of tourism exist, studies on the prediction of tourist preferences based on their personality are limited. Therefore, we undertook a large-scale study in order to determine how the Big Five personality dimensions influence tourists' preferences for tourist attractions, gathering data from an online questionnaire, sent to Portuguese individuals from the academic sector and their respective relatives/friends (n=508). Using Exploratory and Confirmatory Factor Analysis, we extracted 11 main categories of tourist attractions and analyzed which personality dimensions were predictors (or not) of preferences for those tourist attractions. As a result, we propose the first model that relates the five personality dimensions with preferences for tourist attractions, which intends to offer a base for researchers of RS for tourism to automatically model tourist preferences based on their personality.GrouPlanner Project under the European Regional Development Fund POCI-01-0145-FEDER29178 and by National Funds through the FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within the Projects UIDB/00319/2020 and UIDB/00760/202

Sistemas de información-recomendación y gamificación en el sector turístico

En el presente estudio nos adentraremos en diversos temas relacionados con las TIC y el turismo. En primer lugar profundizaremos en el significado de la gamificación, sus características y su reciente aplicación al sector turístico. Por otra parte, nos centraremos en las aplicaciones móviles con sistemas de información-recomendación y sus repercusiones en el ámbito turístico. Con este análisis se pretende mostrar nuevas tendencias en el uso de las TIC’s para dar respuesta a las exigencias de los turistas, que buscan nuevas experiencias. Para ello se realizará un estudio mediante cuestionarios para observar el grado de conocimiento, aceptación y satisfacción de estas nuevas tendencias. Los datos apuntan a que en el futuro la utilización de estas herramientas irá en aumento por la evolución de la demanda turística.Universidad de Sevilla. Grado en Turism