Abstract
Proactive behaviour of pervasive computing systems cannot be realised without the establishment of suitable and reliable user intent prediction facilities. Most of the existing approaches focus on an individual end-user’s history of interactions and context in order to estimate future user behaviour. Recent trends in pervasive systems allow users to form communities with other individuals that share similar profiles, habits, and behaviours. Pervasive Communities set new challenges and opportunities regarding proactivity and context management. This chapter presents a context aware user intent learning and prediction framework that is able to exploit the knowledge available at the community level. Community knowledge, if appropriately managed, can significantly improve proactivity behaviour of individual users’ systems.
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Kalatzis, N., Roussaki, I., Liampotis, N., Kosmides, P., Papaioannou, I., Anagnostou, M. (2014). Context and Community Awareness in Support of User Intent Prediction. In: Brézillon, P., Gonzalez, A. (eds) Context in Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-1887-4_23
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