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Emotions are crucial for user's decision making in recommendation processes. We first introduce Ambient Recommender Systems, which arise from the analysis of new trends on the exploitation of the emotional context in the next generation of recommender systems. We then explain some results of these new trends in real-world applications through the Smart Prediction Assistant (SPA) platform in an Intelligent Learning Guide with more than three million users. While most approaches to recommendingdoi:10.1109/icdew.2007.4401075 dblp:conf/icde/GonzalezRMD07 fatcat:oeq5jscehfakhnkrnlevibvhoe