| Revue: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560349 |
| ISSN: | 1405-5546 |
| Autores: | Villanueva, Daniel1 Lagares, Miguel2 Gómez, Juan M.2 González, Israel2 |
| Instituciones: | 1Centro de Investigación e Innovación en Tecnologías de la Información y Comunicación, Aguascalientes. México 2Universidad Carlos III de Madrid, Computer Science Department, Madrid. España |
| Año: | 2018 |
| Periodo: | Jul-Sep |
| Volumen: | 22 |
| Número: | 3 |
| Paginación: | 809-817 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | 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. |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Inteligencia artificial |
| Keyword: | Recommender system, Knowledge ontology, Semantic reasoning, Voice calls, Artificial intelligence |
| Texte intégral: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
