Embedding emotional context in recommender systems

Proceedings - International Conference on Data Engineering

Volumn , Issue , 2007, Pages 845-852

  González, Gustavo ^a   De La Rosa, Josep Lluís ^a   Montaner, Miquel ^a   Delfin, Sonia ^a  

^a UNIVERSITY OF GIRONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; PROBLEM SOLVING; STATISTICAL PROCESS CONTROL; TECHNOLOGICAL FORECASTING; TECHNOLOGY; TECHNOLOGY TRANSFER;

CROSS-DISCIPLINARY; DATA ENGINEERING; EMOTIONAL INFORMATION; INTELLIGENT LEARNING; INTERNATIONAL CONFERENCES; ON ALGORITHM; REAL-WORLD; REAL-WORLD APPLICATIONS; RECOMMENDER SYSTEMS; TECHNOLOGY TRANSFER PROJECTS;

INFORMATION RETRIEVAL SYSTEMS;

EID: 48349130771     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDEW.2007.4401075     Document Type: Conference Paper

References (12)

1. Adomavicius, G. and Tuzhilin A. 2005. Towards the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Transactions on Knowledge and Data Engineering 17(6): 734, 749.
2. Burke, R. 2001. Hybrid Recommender Systems: Survey and Experiments, User Modeling and User-Adapted Interaction 12(4): 331-370.
3. Doom, C. 2001. Get Smart: How Intelligent Technology Will Enhance Our World. CSCs Leading Edge Forum Report. Available on-line at: http://www.csc.com/aboutus/lef/mds67_off/uploads/getsmart-final.pdf
4. Gabrys. B., 2005. Do Smart Adaptive Systems Exist? Gabrys, Bogdan; Leiviskä, Kauko; Strackeljan, Jens (Eds.). Springer-Verlag. ISBN: 978-3-540-24077-8.
5. González, G., López, B. and de la Rosa J. LL. 2005. A Multi-agent Smart User Model for Cross-domain Recommender Systems. In Proceedings of Beyond Personalization 2005: The Next Stage of Recommender Systems Research, held in conjunction with IUI'05. San Diego, California, USA.
6. Guzman, J., et al. 2005. Modelling the Human Values Scale in Recommender Systems: A First Approach, in Artificial Intelligence Research and Development: 405-412. Radeva, J., et al. Eds. IOS Press. 131. The Netherlands.
7. Masthoff, J. 2005. The Pursuit of Satisfaction: Affective State in Group Recommender Systems. In Proceedings of User Modeling 2005: 297-306. Brna, P., Ardissono, L. and Mitrovic, A. Eds. LNAI. Springer Verlag, Berlin.
8. Mayer, J.D., et al., 2003. Measuring Emotional Intelligence with the MSCEIT V2.0. Emotion: 3(1). 97-105.
9. Minsky, M. 2006. The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind, ch 1, 2, 7. New York: Simon & Schuster.
10. Picard, R. W. et al. 2004. Affective Learning - a manifesto. BT Technology Journal 22(4): 253-269.
11. Remagnino, P. and Foresti, G.L. 2005. Ambient Intelligence: A New Multidisciplinary Paradigm. IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans 35(1): 1-6.
12. W3C Emotion Incubator Group. Available: http://www.w3.org/2005/Incubator/ emotion/