Machine Learning for User Modeling - UM-2001 Workshop Schedule

General Remarks

We allow 20 minutes for presenting the paper and 10 minutes for discussion.

Detailed schedule

Opening (9:00 - 9:05)

9:00 - 9:05Opening: Ralph Schäfer

Bayesian Networks (9:05 - 10:50)

Chair: Sofus Attila Macskassy

09:05 - 09:35A. Kuenzer et al: An Empirical Study of Dynamic Bayesian Networks for User Modeling
09:35 - 10:05F. Wittig: Some Issues in the Learning of Accurate, Interpretable User Models From Sparse Data
10:05 - 10:35 W. Schütz und R. Schäfer: Bayesian Networks for Estimating the User's Interests in the Context of a Configuration Task
10:35 - 10:50Discussion about the whole session topic

Break (10:50 - 11:10)

Learning User's interests (11:10 - 13:00)

Chair: Martin E. Müller
11:10 - 11:40S. Eilert et al: Bikini - User Adaptive News Classification in the World Web Web
11:40 - 12:10 Ivan Koychev: Learning about User in the Presence of Hidden Context
12:10 - 13:00Discussion about the whole session topic and SIG meeting

Lunch Break (13:00 - 14:00)

Joint Session with ML4IR WS: Applications (14:00 - 16:00)

Chair: Ralph Schäfer
14:00 - 14:30J. Kay and E. McCreath: Automatic Induction of Rules for e-mail Classification
14:30 - 15:00M. Müller: Inducing Content Based User Models with Inductive Logic Programming Techniques
15:00 - 15:30Eric Schwarzkopf: An Adaptive Web Site for the UM 2001 Conference
15:30 - 16:00Discussion about the whole session topic

First Session for ML-IR-UM Workshop: Applications (16:30 - 17:30)

16:30 - 17:00Opening to ML-IR-UM Workshop (Aims/objectives of Workshop; Participants introduce each other)
17:00 - 17:30 Sofus A. Macskassy, Haym Hirsh, Foster Provost, Ramesh Sankaranarayanan, Vasant Dhar: Intelligent Information Triage

Please see ML-IR-UM Workshop for details on other papers in the morning session on 14 July, 2001.

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Author: Ralph Schäfer (Ralph.Schaefer@dfki.de)