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• W2014732012 abstract "Graphical abstractDisplay Omitted HighlightsContext-aware smartphone personalisation with GP is proposed for adapting autonomously to user preferences.We propose collaborative GP personalisation through the island model over multiple phones.We demonstrated the framework empirically on two case study applications for solving multi-objective problems.Results show collaborative personalisation speeds up convergence. Personalisation in smart phones requires adaptability to dynamic context based on user mobility, application usage and sensor inputs. Current personalisation approaches, which rely on static logic that is developed a priori, do not provide sufficient adaptability to dynamic and unexpected context. This paper proposes genetic programming (GP), which can evolve program logic in realtime, as an online learning method to deal with the highly dynamic context in smart phone personalisation. We introduce the concept of collaborative smart phone personalisation through the GP Island Model, in order to exploit shared context among co-located phone users and reduce convergence time. We implement these concepts on real smartphones to demonstrate the capability of personalisation through GP and to explore the benefits of the Island Model. Our empirical evaluations on two example applications confirm that the Island Model can reduce convergence time by up to two-thirds over standalone GP personalisation." @default.
• W2014732012 created "2016-06-24" @default.
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• W2014732012 date "2014-12-01" @default.
• W2014732012 modified "2023-10-08" @default.
• W2014732012 title "Genetic programming for smart phone personalisation" @default.
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• W2014732012 doi "https://doi.org/10.1016/j.asoc.2014.08.058" @default.
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