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Memorias de investigación
Artículos en revistas:
A Hybrid Recommendation Model for Learning Object Repositories
Año:2017
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Learning Objects (LOs) have emerged as a cornerstone approach for the development and distribution of educational content. These resources are distributed by Learning Object Repositories (LORs), which can make it easier for users to find suitable LOs by using Recommender Systems (RSs). This paper presents a hybrid recommendation model for LORs that combines content-based, demographic and context-aware techniques, along with the use of quality and popularity metrics. This article also describes how the model has been used to implement two RSs for two real LORs: ViSH and Europeana. Each of these RSs was evaluated in terms of accuracy, utility,usability and satisfaction perceived by end users. Besides, an A/B testing was performed in ViSH to compare the recommendations of the RS with random suggestions. The results showed that the RSs had a high user acceptance in terms of utility, usability and satisfaction, and that the RSs significantly exceeded the performance achieved by the random recommendations.
Internacional
Si
JCR del ISI
Si
Título de la revista
IEEE Latin America Transactions
ISSN
1548-0992
Factor de impacto JCR
0,436
Información de impacto
Datos JCR del año 2015. Q4 en las áreas Computer Science, Information Systems y Engineering, Electrical & Electronic.
Volumen
15
DOI
10.1109/TLA.2017.7867596
Número de revista
3
Desde la página
462
Hasta la página
473
Mes
MARZO
Ranking
133/144 en el área Computer Science, Information Systems
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Aldo Gordillo Mendez (UPM)
  • Autor: Enrique Barra Arias (UPM)
  • Autor: Juan Quemada Vives (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
  • Departamento: Ingeniería de Sistemas Telemáticos
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