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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

© IEEE 23rd International Conference on Data Engineering Workshop : 2007, 2007, p. 845-852

IEEE

Autor: González Sánchez, Gustavo
Rosa, Josep Lluís de la
Montaner Rigall, Miquel
Delfín, Sònia
Data: 2007
Resum: 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
Format: application/pdf
Cita: González, G. , Rosa, J.L. de la , Montaner, M., i Delfín, S. (2007). Embedding Emotional Context in Recommender Systems. IEEE 23rd International Conference on Data Engineering Workshop : 2007, 845-852. Recuperat 08 juny 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4401075
ISBN: 978-1-4244-0832-0
Accés al document: http://hdl.handle.net/10256/2558
Llenguatge: eng
Editor: IEEE
Col·lecció: Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICDEW.2007.4401075
Articles publicats (D-EEEiA)
És part de: © IEEE 23rd International Conference on Data Engineering Workshop : 2007, 2007, p. 845-852
Drets: Tots els drets reservats
Matèria: Agents intel·ligents (Programari)
Aprenentatge automàtic
Intel·ligència artificial
Sistemes d’ajuda a la decisió
Artificial intelligence
Intelligent agents (Computer software)
Decision support systems
Machine learning
Títol: Embedding Emotional Context in Recommender Systems
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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