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Recommandation mobile, sensible au contexte de contenus évolutifs: Contextuel-E-Greedy

Published 9 Feb 2014 in cs.AI | (1402.1986v1)

Abstract: We introduce in this paper an algorithm named Contextuel-E-Greedy that tackles the dynamicity of the user's content. It is based on dynamic exploration/exploitation tradeoff and can adaptively balance the two aspects by deciding which situation is most relevant for exploration or exploitation. The experimental results demonstrate that our algorithm outperforms surveyed algorithms.

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