Embedding Emotional Context in Recommender Systems

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

Transferència de tecnologia università ria. Modalitat i estratègies

Anàlisis del procés de transferència de tecnologia universitària. L’objectiu és identificar i entendre els principals camins que permeten traslladar el coneixement i els resultats de la investigació originats en els àmbits acadèmic i investigador cap als àmbits empresarial i comercial. La finalitat és aportar eines que facilitin la presa de decisions i la definició d’estratègies de transferència de tecnologia en una universitat.