Mircea Preda

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The online recommendations are a popular presence in the Web sites world due to their potential to increase the customersý satisfaction. The ability to represent epistemic information about the clientsý beliefs is important to understand their needs. This paper presents a recommender system based on reinforcement learning. The system represents(More)
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