Título
RESyS: Towards a rule-based recommender system based on semantic reasoning
Autor
DANIEL VILLANUEVA VASQUEZ
Miguel Lagares
Juan M. Gómez
Israel González
Nivel de Acceso
Acceso Abierto
Referencia de publicación
URL/https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/2895
doi: doi:10.13053/CyS-22-3-2895
Materias
Resumen o descripción
The ability to be available and stay connected always for work or social issues has become a reality and a necessity for today’s Information Society. Harnessing the potential of Semantic Technologies-based reasoning for intelligent redirection of voice calls and recommender systems has been gauged as a promising field to enhance the current voice phone calling experience. Such experience might be fostered by a disruption based on rule-based recommendation and inference leveraging current state of the art technology in smartphone apps or fixed line telecommunications standards to its full potential. In this paper, we present RESyS, a software platform hinging on Semantic Technologies and rule-based recommendations which has been tested both on a research and an industry proof-of-concept business pilot, validating its major goals.
Editor
Instituto Politécnico Nacional
Fecha de publicación
2018
Tipo de publicación
Artículo
Versión de la publicación
Versión publicada
Recurso de información
Formato
application/pdf
Fuente
Computación y Sistemas, volumen 22, número 3
Idioma
Inglés
Sugerencia de citación
Villanueva, D., Lagares, M., Gómez, J. M., González, I., 2018. RESyS: Towards a Rule-based recommender system based on semantic reasoning. Computación y Sistemas, Vol. 22, No. 3, pp. 809–817. doi: 10.13053/CyS-22-3-2895
Repositorio Orígen
Repositorio Institucional de INFOTEC
Descargas
250