Proactivity and context-awareness: future of recommender systems design
Autor: | Gallego-Vico, Daniel, Fumero-Reverón, Antonio, Huecas-Fernández-Toribio, Gabriel |
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Rok vydání: | 2013 |
Zdroj: | Scipedia Open Access Scipedia SL |
Popis: | 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. |
Databáze: | OpenAIRE |
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