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Embedding Emotional Context in Recommender Systems
2007
2007 IEEE 23rd International Conference on Data Engineering Workshop
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 recommending
doi:10.1109/icdew.2007.4401075
dblp:conf/icde/GonzalezRMD07
fatcat:oeq5jscehfakhnkrnlevibvhoe