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RESyS: Towards a rule-based recommender system based on semantic reasoning
DANIEL VILLANUEVA VASQUEZ
Miguel Lagares
Juan M. Gómez
Israel González
Acceso Abierto
Atribución-NoComercial
https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/2895
doi:10.13053/CyS-22-3-2895
Knowledge Ontology
Semantic reasoning
Voice calls
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.
Instituto Politécnico Nacional
2018
Artículo
Computación y Sistemas, volumen 22, número 3
Inglés
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
TECNOLOGÍA DE LAS TELECOMUNICACIONES
Versión publicada
publishedVersion - Versión publicada
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