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Descripción
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| In the current techno-social environment the importance of providing personalized content for users of social platforms, continually adapting to their needs, is key to the success of the existing platforms. Recommender systems play a crucial role in this regard, but in many cases the level of customization provided is not enough. This article discusses two key aspects related to the development of recommender systems: proactivity and context-awareness. We propose a theoretical reference model for the creation of proactive recommender systems based on context-awareness information. In addition, we check its feasibility in two real-world scenarios where the model has been successfully implemented: banking and personal learning networks. Finally, future courses of action following the contributions proposed are highlighted, with special attention to potential applications in educational environments. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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Profesional de la Informacion |
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ISSN
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1386-6710 |
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Factor de impacto JCR
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0,326 |
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Información de impacto
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5-Year Impact Factor: 0.279 |
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Volumen
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22 |
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DOI
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10.3145/epi.2013.ene.03 |
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Número de revista
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1 |
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Desde la página
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19 |
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Hasta la página
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25 |
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Mes
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ENERO |
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Ranking
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