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González Sánchez, Gustavo
Rosa, Josep LluÃs de la Montaner Rigall, Miquel DelfÃn, Sònia |
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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 recommending have focused on algorithm performance. SPA makes recommendations to users on the basis of emotional information acquired in an incremental way. This article provides a cross-disciplinary perspective to achieve this goal in such recommender systems through a SPA platform. The methodology applied in SPA is the result of a bunch of technology transfer projects for large real-world rccommender systems | |
| http://hdl.handle.net/2072/63327 | |
| eng | |
| IEEE | |
| Tots els drets reservats | |
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Agents intel·ligents (Programari)
Aprenentatge automà tic Intel·ligència artificial Sistemes d’ajuda a la decisió Artificial intelligence Intelligent agents (Computer software) Decision support systems Machine learning |
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| Embedding Emotional Context in Recommender Systems | |
| info:eu-repo/semantics/article | |
| Recercat |
