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Nowadays, recommender systems are considered as one of the basic pillars of e-commerce as they help users to take decisions easily. These systems involve a multitude of techniques ranging from hybrid filtering mechanisms to techniques derived from statistics or artificial intelligence. In the present paper, we put forward an improved recommender system that supports ethics in an automatic way without the user intervention.
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Souali et al. (2011) studied this question.
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