Embedding Emotional Context in Recommender Systems

Gustavo Gonzalez, Josep Lluis de la Rosa, Miquel Montaner, Sonia Delfin
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
more » ... ve 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 recommender systems.
doi:10.1109/icdew.2007.4401075 dblp:conf/icde/GonzalezRMD07 fatcat:oeq5jscehfakhnkrnlevibvhoe