Leveraging data about users in general in the learning of individual user models

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2001, Pages 1185-1192

  Jameson, Anthony ^a   Wittig, Frank ^a  

^a SAARLAND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER USERS; DIFFERENTIAL ADAPTATION; USER MODELS;

ARTIFICIAL INTELLIGENCE; MATHEMATICAL MODELS;

BAYESIAN NETWORKS;

EID: 8344220092     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Wray Buntine. A guide to the literature on learning probabilistic networks from data. IEEE Transactions on Knowledge and Data Engineering, 8:195-210, 1996.
2. Nir Friedman, Dan Geiger, and Moises Goldszmidt. Bayesian network classifiers. Machine Learning, 29:131-163, 1997.
3. Russell Greiner, Adam J. Grove, and Dale Schuurmans. Learning Bayesian nets that perform well. In Dan Geiger and Prakash P. Shenoy, editors, Uncertainty in Artificial Intelligence: Proceedings of the Thirteenth Conference, pages 198-207. Morgan Kaufmann, San Francisco, 1997.
4. David Heckerman. A tutorial on learning with Bayesian networks. Technical Report MSR-TR-95-06, Microsoft Research, 1995. Revised November 1996.
5. Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, and John Riedl. An algorithmic framework for performing collaborative filtering. In Proceedings of the 1999 Conference on Research and Development in Information Retrieval, 1999.
6. Anthony Jameson, Barbara Großmann-Hutter, Leonie March, Ralf Rummer, Thorsten Bohnenberger, and Frank Wittig. When actions have consequences: Empirically based decision making for intelligent user interfaces. Knowledge-Based Systems, 14:75-92, 2001.
7. Anthony Jameson. Numerical uncertainty management in user and student modeling: An overview of systems and issues. User Modeling and User-Adapted Interaction, 5:193-251, 1996.
8. Christian Müller, Barbara Großmann-Hutter, Anthony Jameson, Ralf Rummer, and Frank Wittig. Recognizing time pressure and cognitive load on the basis of speech: An experimental study. In Julita Vassileva and Piotr Gmytrasiewicz, editors, UM2001, User Modeling: Proceedings of the Eighth International Conference. Springer, Berlin, 2001.
9. Kristian G. Olesen, Steffen L. Lauritzen, and Finn V. Jensen. aHUGIN: A system creating adaptive causal probabilistic networks. In Didier Dubois, Michael P. Wellman, Bruce D'Ambrosio, and Phillipe Smets, editors, Uncertainty in Artificial Intelligence: Proceedings of the Eighth Conference, pages 223-229. Morgan Kaufmann, San Mateo, 1992.
10. Michael Pazzani and Daniel Billsus. Learning and revising user profiles: The identification of interesting web sites. Machine Learning, 27:313-331, 1997.
11. Judea Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Mateo, CA, 1988.
12. Richard B. Segal and Jeffrey O. Kephart. MailCat: An intelligent assistant for organizing e-mail. In Proceedings of the Third International Conference on Autonomous Agents, pages 276-282, 1999.
13. Marilyn A. Walker, Irene Langkilde, Jerry Wright, Allen Gorin, and Diane J. Litman. Learning to predict problematic situations in a spoken dialogue system: Experiments with How May I Help You? In Proceedings of the First Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL'00), pages 210-217, Seattle, WA, 2000.