Abstract
This work describes a novel strategy implementing a context-aware recommendation system. It has been conceived to offer an intelligent selection of micro-services used to orchestrate networks of smart objects taking into account users’ needs and preferences. The recommendation offering dynamically evolves depending on users’ micro-service management patterns and users’ context. The complete system has been designed within Dempster-Shafer evidential theory framework, ensuring uncertainty support both at context acquisition and at recommendation configuration level.
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Iglesias, J., Bernardos, A.M., Casar, J.R. (2013). An Evidential and Context-Aware Recommendation Strategy to Enhance Interactions with Smart Spaces. In: Pan, JS., Polycarpou, M.M., Woźniak, M., de Carvalho, A.C.P.L.F., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2013. Lecture Notes in Computer Science(), vol 8073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40846-5_25
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DOI: https://doi.org/10.1007/978-3-642-40846-5_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40845-8
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