[ Modelo de recomendación de productos basado en computación con palabras y operadores OWA ]
Volume 16, Issue 1, May 2016, Pages 78–83
Janet Bonilla Freire1, Mario Mata Villagomez2, Mario Alfredo Sánchez Delgado3, and Miriam Peña González4
1 Facultad de Ciencias Administrativas, Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
2 Facultad de Ciencias Administrativas, Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
3 Facultad de Ciencias Matemáticas y Físicas, Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
4 Facultad de Ciencias Matemáticas y Físicas, Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
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.
Despite its usefulness and high impact there is shortcomings in knowledge based recommendation models. Among its limitations are lack of flexible models, the inclusion of linguistic information and the correct weighting of the factors involved for computing a global similarity. In this paper a new knowledge based recommendation models based on the 2-tuple linguistic representation model and OWA operators is presented. It includes data base construction, vector weights determination, client profiling, products filtering and recommendation generation. Its implementation make possible to improve reliability and interpretability in recommendations. And illustrative example is shown to demonstrate the model applicability.
Author Keywords: recommendation systems, OWA operators, computing with word, 2-tuples.
Volume 16, Issue 1, May 2016, Pages 78–83
Janet Bonilla Freire1, Mario Mata Villagomez2, Mario Alfredo Sánchez Delgado3, and Miriam Peña González4
1 Facultad de Ciencias Administrativas, Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
2 Facultad de Ciencias Administrativas, Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
3 Facultad de Ciencias Matemáticas y Físicas, Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
4 Facultad de Ciencias Matemáticas y Físicas, Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
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
Despite its usefulness and high impact there is shortcomings in knowledge based recommendation models. Among its limitations are lack of flexible models, the inclusion of linguistic information and the correct weighting of the factors involved for computing a global similarity. In this paper a new knowledge based recommendation models based on the 2-tuple linguistic representation model and OWA operators is presented. It includes data base construction, vector weights determination, client profiling, products filtering and recommendation generation. Its implementation make possible to improve reliability and interpretability in recommendations. And illustrative example is shown to demonstrate the model applicability.
Author Keywords: recommendation systems, OWA operators, computing with word, 2-tuples.
Abstract: (spanish)
A pesar de su potencial impacto persisten insuficiencias en el tratamiento del proceso de recomendación basados en conocimiento. Entre ellas se destacan la falta de modelos flexibles, el tratamiento de la información lingüística y la correcta ponderación de los distintos factores que intervienen para el cálculo de la similitud global. En el presente trabajo se propone un nuevo modelo para el proceso de recomendación basado en el modelo de representación lingüística de 2-tuplas y en el operador OWA. Incluye el proceso de obtención de la base de datos, la determinación vector de pesos, el perfilado del usuario, el filtrado de los productos y la generación de recomendaciones. Su implementación posibilita mejorar la fiabilidad y la interpretabilidad en las recomendaciones de las de productos. Se desarrolla un ejemplo ilustrativo con el propósito de demostrar la aplicabilidad del modelo.
Author Keywords: sistemas de recomendación, operadores OWA, computación con palabras, 2-tuplas.
How to Cite this Article
Janet Bonilla Freire, Mario Mata Villagomez, Mario Alfredo Sánchez Delgado, and Miriam Peña González, “A product recommendation model based on computing with word and OWA operators,” International Journal of Innovation and Applied Studies, vol. 16, no. 1, pp. 78–83, May 2016.
