Publication: Sistema de recomendación contextual para rutas turísticas
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2018
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Abstract
El objetivo principal de este proyecto es el diseño de un sistema de recomendación contextual de rutas turísticas que, dados unos parámetros y unas preferencias de un usuario, devuelvca una ruta a visitar, que contengan unas características que se adecuen lo más posible a las preferenfcias indicadas por el ususario, y a las restricciones contectuales del clima y la hora local.
El sistema lo hemos llamado Soria Planner (lo describimos en los capítulos 3 y 4). Como caso de estudio utilizamos información de puntos de interés y ruts prototípicas del sitio web del Ayuntamiento de Soria [20]. Hemos realizado una serie de entrevistas antes y después del desarrollo de la aplicación con distintos usuarios, valorando su enfoque, lo cual nos ha dado una perspectiva mayor de los intereses y necesidades de los usuarios.
Los parámetros que vamos a necesitar para obtener dicho listado de rutas son: las condiciones metereológicas y la hora local, que hacen que nuestro sistema sea contextual. Así mismo se valoran las preferencias del visitante como la temática que desea visitar (museos, monumentos, naturaleza, gastronomía), la duración de su visita, y el tipo de grupo que sea, si es una sola persona, un grupo familiar, de amigos o una pareja. Con todo ello se genera un listado de rutas afines a esos datos, que se le mostrarán al usuario para su elección y adaptación.
Otra característica del sistema es la posibilidad de modificación de la ruta elegida por parte del usuario, para personalizrla según sus intereses, en el caso de que así lo desee, Una vez modificada esa ruta, será guardada como una nueva y se recomendará a otros uausarios que tengan preferencias y contextos similares.
The main objective of this project is the design orf a contextual recommendation system for tourist routes. Some parameters and preferences were given by a user that return a route to visit, conatining appropriate characteristics as possible to the preferences indicated by the user, and contextual restrictions of the weather and local time. We have called the system Soria Planner (we describe it in chapters 3 and 4). As a case study we used information on points of interest and prototypical routes of the Soria City Council website [20]. We have coinducted a series of interviews before and after the development of the application with different users, valuing their appoach, it has given us a greater perspective of the interests needs of users. The parameters we will need to obtain this list of routes are: weather conditions and local time, it makes our system contextual. Likewise, the preference of the visitor are valued, such as the theme you wish to visit (museums, monuments, nature and gastronomy), the duration of your visit, and the type of group that is, if it is a single person, a family group, friends or a couple. With all this, a list of routes related to this data is generated, it will be shown to the user for his choice and adaptation. Another feature of the system is the possibility of modifying the route chosen by the user, to customize it according to their interests, in the case that as well wish. Oce this route has been modified, it will be saved as a new one and it will be recommended to other users who have similar preferences and contexts.
The main objective of this project is the design orf a contextual recommendation system for tourist routes. Some parameters and preferences were given by a user that return a route to visit, conatining appropriate characteristics as possible to the preferences indicated by the user, and contextual restrictions of the weather and local time. We have called the system Soria Planner (we describe it in chapters 3 and 4). As a case study we used information on points of interest and prototypical routes of the Soria City Council website [20]. We have coinducted a series of interviews before and after the development of the application with different users, valuing their appoach, it has given us a greater perspective of the interests needs of users. The parameters we will need to obtain this list of routes are: weather conditions and local time, it makes our system contextual. Likewise, the preference of the visitor are valued, such as the theme you wish to visit (museums, monuments, nature and gastronomy), the duration of your visit, and the type of group that is, if it is a single person, a family group, friends or a couple. With all this, a list of routes related to this data is generated, it will be shown to the user for his choice and adaptation. Another feature of the system is the possibility of modifying the route chosen by the user, to customize it according to their interests, in the case that as well wish. Oce this route has been modified, it will be saved as a new one and it will be recommended to other users who have similar preferences and contexts.
Description
Universidad Complutense, Facultad de Informática, curso 2017/2018