[ Modelo de recomendación para la orientación vocacional basado en la computación con palabras ]
Volume 15, Issue 1, March 2016, Pages 80–92
Milton Rafael Maridueña Arroyave1, Ailyn Febles Estrada2, and Roxana Cañizares González3
1 Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
2 Universidad de las Ciencias Informáticas, La Habana, Cuba
3 Universidad de las Ciencias Informáticas, La Habana, Cuba
Original language: Spanish
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The selection of a profession suitable to expectations implies taking into account multiples factors. Despite its usefulness and high impact there are limitations in the support to vocational orientation and specifically to university major recommendation models. Among these limitations are the lack of flexible models and the dependence on historical information. In this paper a new college degree recommendation model based on the 2-tuples linguistic model and the OWA operators is presented. It includes database construction, student profiling, university degree information filtering and recommendation generation. Its implementation make possible to improve reliability. An Illustrative example is shown to demonstrate the model applicability especially to information and health sciences.
Author Keywords: vocational orientation, recommender systems, university major recommendation, fuzzy logic, 2-tuples linguistic model, content based recommender systems.
Volume 15, Issue 1, March 2016, Pages 80–92
Milton Rafael Maridueña Arroyave1, Ailyn Febles Estrada2, and Roxana Cañizares González3
1 Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
2 Universidad de las Ciencias Informáticas, La Habana, Cuba
3 Universidad de las Ciencias Informáticas, La Habana, Cuba
Original language: Spanish
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The selection of a profession suitable to expectations implies taking into account multiples factors. Despite its usefulness and high impact there are limitations in the support to vocational orientation and specifically to university major recommendation models. Among these limitations are the lack of flexible models and the dependence on historical information. In this paper a new college degree recommendation model based on the 2-tuples linguistic model and the OWA operators is presented. It includes database construction, student profiling, university degree information filtering and recommendation generation. Its implementation make possible to improve reliability. An Illustrative example is shown to demonstrate the model applicability especially to information and health sciences.
Author Keywords: vocational orientation, recommender systems, university major recommendation, fuzzy logic, 2-tuples linguistic model, content based recommender systems.
Abstract: (spanish)
La elección de una profesión que se adecúe a las expectativas de una persona implica clarificar sus aptitudes, intereses y cualidades de cada sujeto; mientras que desde la Universidad, se requiere de un bachiller idóneo respecto a las exigencias del currículo universitario. A pesar de su extendida utilidad e impacto persisten insuficiencias en el soporte informático a la orientación vocacional y en específico al tratamiento del proceso de recomendación de las carreras universitarias a cursar. Entre ellas se destacan la falta de modelos flexibles no dependientes de datos históricos y el tratamiento de la información lingüística. En el presente trabajo se propone el modelo para el proceso de recomendación de carreras universitarias basado en el modelo de representación lingüística de las 2-tuplas y operadores OWA. Incluye el proceso de obtención de la base de datos, el perfilado del estudiante, el filtrado de las carreras, la generación de recomendaciones. Su implementación posibilita mejorar la fiabilidad y la interpretabilidad de las recomendaciones de las carreras universitarias. Se desarrolla un ejemplo ilustrativo con el propósito de demostrar la aplicabilidad del modelo.
Author Keywords: orientación vocacional, sistemas de recomendación, recomendación de carreas universitarias, lógica difusa, 2-tuplas lingüísticas, sistemas de recomendación basados en contenido.
How to Cite this Article
Milton Rafael Maridueña Arroyave, Ailyn Febles Estrada, and Roxana Cañizares González, “Recommendation models for vocational orientation based on computing with words,” International Journal of Innovation and Applied Studies, vol. 15, no. 1, pp. 80–92, March 2016.
