Recommandation mobile, sensible au contexte de contenus \'evolutifs: Contextuel-E-Greedy
Artificial Intelligence
2014-02-11 v1
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.
Keywords
Cite
@article{arxiv.1402.1986,
title = {Recommandation mobile, sensible au contexte de contenus \'evolutifs: Contextuel-E-Greedy},
author = {Djallel Bouneffouf},
journal= {arXiv preprint arXiv:1402.1986},
year = {2014}
}