1.Langley, P. (1999). User modeling in adaptive interfaces. Proceedings of the Seventh International Conference on User Modeling (pp. 357-370). Banff, Alberta: Springer.
2.Jameson, A.(2003). Adaptive Interfaces and Agents in Human-Computer Interface Handbook, eds J.A. Jacko and A. Sears, pp 305-330, 2003 . Alternativamente, la segunda versión del artículo del 2008.
3.Burke, R. (2002). Hybrid Recommender Systems: Survey and Experiments User Modeling and User-Adapted Interaction. 12(4), pages 331-370.
4.Langley, P. (1997). Machine learning for adaptive user interfaces. Proceedings of the 21st German Annual Conference on Artificial Intelligence (pp. 53-62). Freiburg, Germany: Springer.
5.Langley, P. (1997). Machine learning for intelligent systems. Proceedings of the Fourteenth National Conference on Artificial Intelligence (pp. 763-769). Providence, RI: AAAI Press.
6.Webb, G., Pazzani,M., Billsus,D. (2001) Machine Learning for User Modeling. User Modeling and User-Adapted Interaction 11(1-2): 19-29
7.Ehlert, P. (2003). Capítulo 4 de Intelligent user interfaces: introduction and survey . Research Report DKS03-01 / ICE 01. Data and Knowledge Systems group Faculty of Information Technology and Systems.Delft University of Technology
8.Langley, P., y Fehling, M. (1998). The experimental study of adaptive user interfaces (Technical Report 98-3). Institute for the Study of Learning and Expertise, Palo Alto, CA.
9.Chin, D. (2001). Empirical Evaluations of User Models and User-Adapted Systems. User Modeling and User-Adapted Interaction 11(1-2): 31-48
10. Brusilovsky, P. (2001) Adaptive hypermedia. User Modeling and User Adapted Interaction, Ten Year Anniversary Issue (Alfred Kobsa, ed.) 11 (1/2), 87-110.
11.Weber, G., y Specht, M. (1997). User modeling and adaptive navigation support in WWW-based tutoring systems. In A. Jameson, C. Paris, & C. Tasso (Eds.), User modeling: Proceedings of the Sixth International Conference, UM97 (pp. 289?300). Vienna: Springer Wien New York.
12.Fink, J. Y A. Kobsa (2000). A Review and Analysis of Commercial User Modeling Servers for Personalization on the World Wide Web. User Modeling and User-Adapted Interaction 10(3-4), Special Issue on Deployed User Modeling, 209-249
13.Schafer, J. B., Konstan, J., y Riedl, J. (1999). Recommender systems in e-commerce. In Proceedings of the ACM Conference on Electronic Commerce.
14.Fink, J., A. Kobsa y A. Nill (1996). User-Oriented Adaptivity and Adaptability in the AVANTI Project. Proceedings of the Conference 'Designing for the Web: Empirical Studies', Redmond, WA, Oct. 30, 1996.
15.Billsus, D., Pazzani, M. J. (1999) A hybrid user model for news story classification. In Proceedings of the Seventh Intl. Conference on User Modeling, Springer-Verlag New York, Inc.
- Bibliografía Complementaria para Tareas de Adaptación:
16.Pazzani, M., Muramatsu, J., y Billsus, D. (1996). Syskill & Webert: Identifying interesting web sites. Proceedings of the Thirteenth National Conference on Artificial Intelligence (pp. 54-61). Portland, OR: AAAI Press.
17.Mladenic, D. (1996). Personal WebWatcher: Implementation and design (Technical Report IJS-DP-7472). Department of Intelligent Systems, J. Stefan Institute, Ljubljana, Slovenia.
18.Billsus, D., y Pazzani, M. (1999). A personal news agent that talks, learns and explains. Proceedings of the Third International Conference on Autonomous Agents (pp. 268-275). Seattle: ACM Press.
19.Gervasio, M. T., Iba, W., y Langley, P. (1999). Learning user evaluation functions for adaptive scheduling assistance. Proceedings of the Sixteenth International Conference on Machine Learning (pp. 152-161). Bled, Slovenia: Morgan Kaufmann.
20.Thompson, C., y Goker, M. (2000). Learning to suggest: The adaptive place advisor. Papers from the 2000 AAAI Spring Symposium on Adaptive User Interfaces (pp. 130-135). Menlo Park, CA: AAAI Press.
21.Segal, R., y Kephart, J. (2000). Incremental learning in SwiftFile. Proceedings of the Seventeenth International Conference on Machine Learning. San Francisco: Morgan Kaufmann.
